Location: Intellias
Meet your recruiter
Daniela Riabova
daniela.riabova@intellias.com
https://www.linkedin.com...
Vacancy details
Data Engineering
Data Engineer
Principal
Bulgaria, Colombia, Croatia, Poland, Portugal, Spain, Ukraine, United States
Remote
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Intellias is looking for a
Staff Healthcare Data Engineer
to join a large-scale digital healthcare initiative focused on building a FHIR-based health data platform and transforming fragmented healthcare data into clean, standardized, and trustworthy information.
This is a
Staff-level Individual Contributor role
combining deep healthcare data engineering expertise, distributed data systems, FHIR interoperability, and AI-native software development. You will set technical direction for how healthcare data is ingested, transformed, validated, and delivered at scale while solving the platform’s most complex engineering and data-quality challenges.
The role requires both
deep hands-on engineering expertise and broad technical influence
— establishing reusable frameworks and standards, mentoring experienced engineers, and raising the engineering bar across the team.
What project we have for you
The project is building a
FHIR-based healthcare data platform at scale
, integrating information from EHRs, healthcare organizations, payer systems, national and reference datasets, and other clinical data sources.
The platform transforms heterogeneous healthcare data into clean, standards-conformant FHIR while addressing complex challenges around
data quality, patient and record matching, deduplication, terminology normalization, distributed processing, and reliable delivery at production scale
.
The technology landscape includes
Python, Apache Spark/PySpark, Databricks, Delta Lake, SQL, FHIR R4, HL7, C-CDA
, healthcare terminology standards, and modern cloud-native data infrastructure.
This is an
AI-native engineering environment
where coding agents such as Claude Code and reusable AI capabilities are integrated into the engineering lifecycle. AI is used to accelerate development and solve appropriate healthcare data problems while maintaining strict standards for correctness, deterministic processing, testing, security, and PHI safety.
What you will do
Set the
technical direction for healthcare data engineering
across ingestion, transformation, validation, normalization, and delivery.
Own the end-to-end architecture of
large-scale distributed data pipelines
transforming heterogeneous source data into clean, standards-conformant FHIR.
Design and evolve scalable solutions using
Python, Spark/PySpark, Databricks/Delta Lake
, and modern data-processing technologies.
Diagnose and eliminate complex performance and scalability bottlenecks across distributed data workloads.
Establish standards and reusable frameworks for
data quality, deduplication, patient/record linking, terminology normalization, and reliable idempotent processing
.
Define architectural patterns for FHIR transformation, validation, schema evolution, and production delivery.
Build and evolve automated testing and validation capabilities for
data quality and FHIR conformance
.
Establish engineering patterns and reusable tooling that allow the broader team to deliver new healthcare data capabilities faster and more consistently.
Champion
PHI-safe engineering practices
and ensure healthcare data solutions meet applicable security, privacy, and compliance requirements.
Make
AI-native engineering a practical part of the team’s development model
, using coding agents and reusable AI capabilities to automate repetitive work and accelerate complex engineering tasks.
Establish engineering guardrails for AI-assisted development, ensuring AI-generated solutions remain correct, tested, secure, observable, and PHI-safe.
Determine where deterministic processing provides better reliability than AI/LLM-based approaches and establish appropriate architectural patterns for both.
Mentor Senior and Middle engineers through design reviews, pairing, technical guidance, and knowledge sharing.
Drive complex, ambiguous engineering problems from initial investigation through architecture, implementation, and production operation.
Collaborate with engineering, product, security, data, and healthcare-domain stakeholders to translate complex interoperability requirements into scalable technical solutions.
Represent strong healthcare data engineering practices in relevant architecture, standards, and technical discussions.
What you need for this
8+ years of professional experience
in data engineering, healthcare data platforms, HealthTech, or healthcare interoperability.
Proven
Staff-level technical ownership
of complex production systems, including the ability to set technical direction and solve problems spanning multiple components and engineering teams.
Strong hands-on expertise in
Python
and production-grade data engineering.
Deep experience with
Apache Spark/PySpark at scale
, including partitioning, performance optimization, memory tuning, and distributed processing.
Experience with modern lakehouse technologies such as
Databricks and Delta Lake
, or comparable platforms.
Strong experience designing and operating large-scale
ETL/ELT pipelines
, including CDC, incremental/delta processing, idempotency, schema evolution, and batch/streaming workloads.
Proven experience diagnosing and eliminating complex
performance and scalability bottlenecks
in distributed data-processing systems.
Deep hands-on experience with
FHIR R4
, including resources, profiles, Bundles, validation, and large-scale healthcare data transformation.
Strong knowledge of
US Core, USCDI, HL7 v2.x
, and C-CDA-to-FHIR transformation patterns.
Strong understanding of healthcare terminology standards including
SNOMED CT, LOINC, and RxNorm
.
Experience working with clinical, claims, coverage, eligibility, or comparable healthcare data models.
Strong experience with
data quality, deduplication, record/patient linking, terminology normalization, and validation
.
Strong SQL skills and understanding of data modeling, schema evolution, data quality, and production data architecture.
Experience with
Git, CI/CD, automated testing, observability, and production operations
.
Strong understanding of healthcare security, privacy, and regulatory requirements, including
HIPAA
and PHI-safe engineering practices.
Proven ability to establish
reusable engineering frameworks, architectural patterns, standards, and data-quality practices
adopted by other engineers.
Demonstrated technical leadership through architecture/design reviews, mentoring, pairing, and cross-team engineering influence.
Practical experience using
AI coding agents such as Claude Code or comparable agentic engineering tools
as an integral part of the development lifecycle.
Strong engineering judgment around when to use
AI/LLM-based approaches versus deterministic rule-based solutions
, particularly where correctness, cost, performance, or PHI safety are critical.
Professional English sufficient for direct collaboration with U.S.-based technical and business stakeholders.
Nice to Have
Deep experience with
large-scale FHIR data modeling and healthcare interoperability platforms
.
Experience with
Master Patient Index (MPI), patient matching, identity resolution
, or large-scale record linkage.
Experience with payer data exchange, including
CARIN Blue Button
, Da Vinci implementation guides, or similar standards.
Experience working with pharmacy, laboratory, or other specialized healthcare datasets.
Knowledge of
ICD-10
, CPT, CVX
, and additional clinical terminology/code systems.
Experience with
21st Century Cures Act, ONC certification, CMS Interoperability Rule
, or related U.S. healthcare regulatory frameworks.
Experience building LLM/agent-based capabilities for
clinical data extraction, normalization, terminology mapping, or healthcare data quality
.
Experience designing reusable AI skills or agentic workflows adopted across engineering teams.
Contributions to open-source healthcare, FHIR/HL7 communities, or relevant industry working groups.
What it’s like to work at Intellias
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
Skills
Healthcare
Python
Spark
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.
ABOUT THE JOB
Mistral builds AI systems that enterprises run on their own terms, in finance, manufacturing, defense, healthcare, and the public sector. The Solution organization turns customers' hardest problems into AI they own, run, and scale on Mistral. It is one of the fastest-growing functions in the company: 650 people by end of 2026, across EMEA, the US, and Asia-Pacific, delivering measurable business outcomes for enterprise customers worldwide.
The Solution organization includes Deployment Strategists, Applied AI Engineers, Infrastructure Solution Architects, and Applied Scientists. They work with enterprise customers from pre-sales through implementation and deliver AI systems that produce measurable business outcomes.
Solution Operations is the function that makes this scale. It runs staffing and capacity planning across regions, the go-to-market motion by industry vertical and capability, delivery processes and tooling, the data behind our decisions, and value and customer-success measurement, with hubs in Europe, North America, and Asia-Pacific.
We are hiring a Head of Solution Operations. We are looking for an entrepreneurial COO or a former Forward Deployed Engineer with years of experience. This is a build-the-1-to-10 role: you will take a young, fast-growing function and turn it into the operating system that lets Solution scale from hundreds to thousands of people without losing what makes it work. You will lead a team of program leads and regional operators across three continents, and work as a business partner to Solutions leadership.
WHAT YOU WILL DO
- Own the Solution operating system end to end. One process from pre-sales to post-sales, a single source of truth for people, projects, and opportunities, the Solution tooling stack, and safety, security, and compliance built into how the team works.
- Industrialize what already works. Turn delivery and vertical playbooks, staffing frameworks, and the value and ROI methodology into reusable assets the whole team runs on, and drive their adoption in every geography.
- Build the global operating model. Keep core operations centralized while ensuring real adoption and the right local adaptation across EMEA, the US, and Asia-Pacific, with full-stack regional operators on the ground.
- Staff demanding customer engagements. Own capacity planning and forecasting, skills-to-project matching, time-to-staff, utilization, and bench health across all geographies.
- Make customer success measurable. Stand up delivery-outcome measurement and customer-satisfaction systems, and run the feedback loop that turns field learnings into product requirements and reusable IP.
- Make AI-native operations the default. Build internal tools, agents, and automations that remove manual work from planning, staffing, reporting, and delivery follow-ups, starting with your own team.
- Lead and grow the team. Hire, mentor, and develop program leads and regional operators, raise the technical bar of the function, and build the hiring plan for its next phase.
- Partner across functions. Work daily with Solution leadership, regional Sales leadership, Product and Engineering, RevOps, and Talent Acquisition, and bring executive judgment on where to invest, slow down, or say no.
HOW WE WORK IN SOLUTION
- We care about people and outputs. What matters is what you ship.
- 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 copying what worked before.
- We say what we mean. Feedback is direct and given because we care. No politics. Low ego, high standards.
- We embrace an unstructured environment and find joy in it.
ABOUT YOU
Whatever your path, you bring:
- Extensive leadership experience, with demonstrated impact building and leading teams or functions in a fast-scaling environment.
- A track record of industrializing something handcrafted but working: processes, systems, and teams that scaled an order of magnitude without losing what made them work.
- The ability to bring structure to ambiguity and drive complex, cross-functional initiatives from strategy through execution. You are hands-on and biased toward action.
- Data-driven and AI-fluent: you build the internal tools, automations, dashboards, and AI workflows you rely on.
- Global operating range: you work naturally across geographies and cultures, with the executive presence to hold a room with C-level stakeholders and the credibility to challenge senior leaders.
- Stakeholder management: you align competing priorities and drive decisions without formal authority.
- Fluent in English; additional languages are a plus.
IDEALLY
- Experience in enterprise software, AI, or deep-tech delivery, or top-tier strategy consulting on complex technical transformations.
- Experience operating at global scale across EMEA, the US, and Asia-Pacific.
- Hands-on experience building AI-native operations: automating workflows with LLMs and agents rather than prompting a chatbot.
- MBA or advanced degree preferred.
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: Germany; Austria
Workplace: Hybrid
AI ENABLEMENT ENGINEER - GERMANY & AUSTRIA
(f/m/x)
As an AI Enablement Engineer at Wonderful your mission will be to help our teams, customers and partners develop the skills to take enterprise AI from concept to working solution.
What you’ll do
You’ll combine hands-on AI engineering with technical teaching, designing and delivering programs where people learn by building on the Wonderful platform. From onboarding Forward Deployed Engineers and Deployment Strategists to leading customer workshops and partner certification, you’ll equip people to deploy confidently and work independently.
- Teach by building. Guide customer teams through a scoped AI agent or application, connecting architecture, integrations and development practices to a working solution with practical business value.
- Get our teams ready to deliver. Own technical onboarding for Wonderful’s Forward Deployed Engineers and Deployment Strategists, preparing them to work independently in customer environments.
- Lead Wonderful Academy programs. Design and deliver platform workshops, hands-on training and role-based learning for technical and business audiences.
- Enable our partners. Build training for systems integration partners covering the Wonderful platform, deployment methodology and implementation standards.
- Own certification end to end. Define learning paths and assessments, evaluate readiness and manage certification, further training and recertification.
- Practice what you teach. You’ll regularly join live customer projects as an FDE, keeping your skills sharp and showing what’s possible through hands on delivery.
- Keep learning relevant. Track progress, gather feedback and use product changes and field experience to improve content, delivery and outcomes.
Why should you
- You’ll be part of what is tipped as the fastest growing startup in Europe.
- Work on a cutting edge agentic solution, the hottest topic in enterprise right now.
- You’ll join a team of high agency builders coming from the best tech companies out there.
- Combine hands-on AI engineering with teaching, facilitation and customer partnership.
- Own programs from curriculum through certification, shaping how Wonderful develops technical capability across employees, customers and partners.
- See the impact of your work in the solutions people build and their ability to keep developing independently.
- A mix of home office and travel to clients locally.
- Great salary and early stage share options.
What you’ll bring
- 5+ years in technical enablement, customer education, technical training or a related role within SaaS, cloud, data or AI.
- Fluent German and english
- Strong hands-on AI engineering experience, including system architecture, LLM and agent integration, design patterns and modern software development practices.
- A practical understanding of enterprise software, APIs, integrations and data flows, with the ability to learn and teach a complex platform.
- A track record of designing and delivering technical onboarding, workshops and certification programs, from curriculum and assessments through to measuring results.
- Strong instructional design and facilitation skills. You can make complex concepts clear, keep groups engaged and adapt to different levels of technical experience.
- Credibility with technical stakeholders and the confidence to lead discussions, explain platform capabilities and connect learning goals to business needs.
- An ownership mindset, excellent communication skills and a clear focus on helping people become self-sufficient.
Apply here, everyone will get a response.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: Austin or London
About the Role
TLS is the connective tissue of the Internet, and Cloudflare terminates a large fraction of it. Cloudflare sits in front of more than 20 percent of global Internet request traffic and terminates TLS for millions of domains. Every day, our network handles certificate operations across products like Universal SSL, SSL for SaaS, Origin CA, Cloudflare Access, and Cloudflare Tunnel.
That scale has taught us how the WebPKI ecosystem works from the consuming side. As certificate lifetimes shorten, agentic activity increases, and post-quantum certificates move toward production, the number of certificates the Internet depends on will grow dramatically.
Cloudflare is building a certificate authority for the whole Internet: a public, redundant, transparent CA that provides another trusted source of automated certificates and helps make the encrypted web more resilient. We intend to be ACME-first, automation-first, and transparent by design. We also intend to lead where the ecosystem is going, including post-quantum certificates and Merkle Tree Certificates, while continuing to support the classic WebPKI customers rely on today.
As Principal Product Manager for Cloudflare's Certificate Authority business, you will define the product strategy, roadmap, customer experience, and commercial model for this new venture. You will work across product, engineering, security, compliance, legal, operations, sales, marketing, and the WebPKI ecosystem to turn Cloudflare's CA from a major technical commitment into a product customers trust and adopt.
This is an early-days role on a growing team. It is not a role for someone who only manages backlog. The right person will be comfortable with high-consequence infrastructure, deep customer discovery, ecosystem trust, compliance scrutiny, and zero-to-one product building. The decisions you make in the first year will shape how Cloudflare participates in the certificate authority market for years to come.
Responsibilities
Define the product strategy for Cloudflare's CA business
across publicly trusted certificates, certificate lifecycle automation, ACME issuance, renewal workflows, revocation, Certificate Transparency, customer controls, developer experience, and integrations with Cloudflare's broader platform.
Build for the whole Internet
by understanding the needs of developers, site owners, platform teams, SaaS providers, enterprise security teams, infrastructure operators, and partners who depend on certificates for availability, security, and compliance.
Make resilience a product principle.
Help design product requirements that fail small, reduce customer blast radius, support automated recovery, and make certificate replacement fast enough to handle compliance issues, revocation events, or ecosystem incidents.
Drive an ACME-first customer experience
that makes it easy for users of existing free or automated CAs to adopt Cloudflare with minimal tooling changes.
Partner closely with engineering
on systems that manage certificate lifecycles, automate issuance and renewal, integrate with HSMs, protect keys, support auditability, and operate within strict reliability and correctness requirements.
Partner with compliance, legal, security, and operations
to ensure product decisions align with CA/Browser Forum Baseline Requirements, WebTrust audits, root store program policies, Certificate Policy and Certification Practice Statement commitments, and public incident response expectations.
Own go-to-market strategy
including packaging, pricing, launch sequencing, competitive positioning, customer segmentation, sales enablement, developer messaging, and adoption metrics.
Represent the customer and the ecosystem
in product decisions where trust, transparency, uptime, security, and commercial adoption must all be balanced.
Work across Cloudflare product teams
including SSL/TLS, Application Security, Zero Trust, Workers, Registrar, DNS, Load Balancing, SaaS products, and infrastructure teams that consume or expose certificate services.
Help make Cloudflare Customer Zero
by ensuring our own usage of the CA exercises the product at Cloudflare scale and informs the roadmap before customers depend on it.
Desirable Skills, Knowledge and Experience
10+ years of product management experience
building technical products for developers, security teams, infrastructure teams, enterprises, or cloud platforms.
Experience with security, identity, infrastructure, or developer platform products
where correctness, reliability, compliance, and trust are core product requirements.
Working knowledge of PKI and certificate lifecycle management
including TLS certificates, X.509, ACME, public and private CAs, revocation, Certificate Transparency, mTLS, HSMs, and enterprise certificate automation.
Strong business judgment
with experience defining product strategy, pricing and packaging, customer segmentation, and go-to-market plans for technical B2B products.
Ability to operate in ambiguity
and create structure around a new business, including market definition, customer discovery, roadmap tradeoffs, launch planning, and executive alignment.
Technical fluency with engineering teams
and comfort discussing APIs, distributed systems, key management, audit trails, reliability, operational failure modes, and security tradeoffs.
Strong written communication
for strategy documents, product requirements, launch narratives, customer-facing messaging, and high-stakes internal decisions.
Comfort with high-consequence work.
A mis-issued, mis-revoked, or unavailable certificate can become a public, ecosystem-visible event. You need the judgment to move quickly and the discipline to be careful.
Bonus Points
Direct experience working on certificate authority, PKI, certificate lifecycle management, cloud security, identity, or trust services products.
Experience with publicly trusted CAs, private PKI, managed certificate services, or platforms such as AWS Certificate Manager, AWS Private CA, Google Trust Services, DigiCert, Sectigo, Let's Encrypt / ISRG, Entrust, Microsoft PKI, HashiCorp Vault PKI, step-ca, or CFSSL.
Familiarity with CA/Browser Forum requirements, browser root programs, WebTrust for CAs, WebTrust Baseline Requirements, or public CA incident reporting.
Experience building API-first developer products, especially products involving ACME, SDKs, CLI workflows, Kubernetes, service mesh, mTLS, or infrastructure-as-code integrations.
Experience launching new businesses or zero-to-one products inside a larger platform company.
Familiarity with certificate automation challenges created by 90-day and shorter certificate lifetimes.
Familiarity with post-quantum cryptography, crypto-agility, Merkle Tree Certificates, or customer migration planning for cryptographic transitions.
Prior participation in WebPKI, IETF, browser trust, transparency, or security standards communities.
Compensation
Compensation may be adjusted depending on work location.
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Paris, France
Workplace: Hybrid
🤖 WHO WE ARE
We’re building Mo — a health companion for everyone.
We’re a small team within Alan, on a mission to redefine the future of care by democratizing access to medical expertise. We are building Mo, an intelligent, empathetic, multimodal LLM-based conversational AI assistant able to prescribe, triage, and proactively follow up on care.
Imagine giving every person in the world instant, 24/7 access to personalised medical expertise - through chat, voice, or video. That’s what we are building 🤖.
We kicked off the project in 2023, and we have launched Mo to all our french members (1M) in Q1 2026, making it the first safe AI health companion live at scale in Europe.
🚀 WHY WE NEED YOU
Mo’s scope is expanding fast: inside Alan (a new Clinic, new capabilities), across the countries we operate in, and at the interfaces with many other Alan experiences. To get this expansion right, and to keep ownership distributed within the team, we’re looking for a Product Builder to take on a real share of that complexity and ambiguity.
You’ll own end-to-end one slice of Mo’s product scope. Depending on your profile, it could be:
- 🩺 Mo for reactive care. Build all the integrations between Mo, our Clinic and the healthcare system, and shape how our medical team interacts with members in and through Mo.
- 🛡️ Mo for insurance. Make Mo the main interface between members and Alan, building on our Support AI agents, across channels and countries.
- 🌍 Mo global. Adapt Mo to new countries and find the right operating model for each (medical reviews, safety, local features).
- ➕ Mo as a platform. Make Mo the companion other teams build upon, so our domain experts can ship their own experiences through it.
🎯 IS IT YOU WE’RE LOOKING FOR?
We’re looking for Product Builders with around 5+ years of experience who want to build state-of-the-art AI products and apply them to real-world, high-stakes problems in healthcare.
- You’ll own a product area end-to-end: problem framing, vision, prioritisation, shipping, and measuring whether we actually help members get and stay better.
- You’ll work daily with engineers, ML engineers, data, and doctors, at the frontier of LLMs and agentic systems, and see your work in production with real people.
- You’ll navigate ambiguity and many stakeholders across Alan, and turn it into clear decisions and a focused roadmap.
- You’ll be hands-on: prototyping, digging into data, reading conversations and evals, getting into the technical details with the team.
- You’ll contribute to our product culture and help build the team (hiring, interview loops, etc.).
You would be a good fit in Mo if most of this sounds like you:
- Experience building and shipping a live AI/LLM product
- Very hands-on, comfortable with technical and data topics (SQL, prototyping, understanding how an LLM system behaves and fails)
- Interest or experience in one or several medical or prevention themes
- Product-minded and outcome-driven: you care about impact, not output
- Self-directed, pragmatic, driven, hard working
- Humble and still willing to grow (no matter your seniority!)
- Collaborative, enthusiastic about teamwork, learning, and teaching
- Fluent in English
- Ex-engineers and ex-founders are typically a great fit in our team
But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus
🤘 HOW WE DO IT ?
We benefit from Alan’s platform, infrastructure, distribution, and health expertise — but operate with the speed and focus of a startup. If you’re curious about Alan’s broader vision, our https://www.notion.so/alaninsuranceShareholder Letters https://alan.com/en/blog/discover-alan/a/alan-2025-q3-letter-to-shareholders are worth a read.
People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values https://alan.com/about/company-culture that guide our approach to work, such as:
HOW WE WORK: OUR LEADERSHIP PRINCIPLES
- Mission is the Boss — We think long-term and are methodical optimists who take risks, seeking our mission's success above all else.
- Distributed Ownership — Accountable enlightened despots: everyone owns their decisions and results.
- Radical Transparency — All information is accessible and written-first, so everyone can make the best decisions asynchronously.
- Always Growing — Direct, positive, and caring feedback, combined with self-growth ownership.
🙌 PERKS & BENEFITS https://alan.com/en/careers/a/salary-equity
At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
Therefore, we offer:
- Fair rewards. Generous equity packages complement your base salary.
- Flexible Office. Amazing office space at our HQ, sponsored co-working hubs or a full-remote experience with home office equipment sponsorship, we want you to live where you’re the happiest.
- All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and noise-canceling headphones.
- Flexible vacation policy and flexible working hours. Organize your time as you wish.
- Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only).
- Transport. Country-specific commuter benefits.
- Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises.
- Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching.
- Parental leave. Extended parental leave for all new parents.
IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist.
We'll be thrilled to receive your application!
🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.
As Head of Product you own product direction and priorities for the cloud platform: which problems deserve our attention, what success looks like, and what we should stop doing.
Location: New York
Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally.
As the
Director of AI Engineering, Internal Products
at Via, you'll lead an engineering team that builds high-impact internal products using AI-native development practices, while pioneering a platform that enables people across the company to create their own software with AI agents. We call these empowered employees “nano engineers.”
This is an opportunity to shape a new engineering discipline, solve problems across the business, and multiply our capacity to innovate.
About the Role:
Hands-on from day one: You’ll personally build and ship products, leveraging AI coding agents to move from idea to production, while gradually building and leading a team as the function grows.
Build products that make our business run better - work closely with Finance, HR, Ops, Sales and Marketing to build internal systems that make business impact, build tools tools that help field teams surface operational insights, resolve exceptions and make better decisions in real time
Rethink software development in the age of AI, using coding agents, AI-assisted development, automated testing, and new engineering workflows to accelerate the journey from identifying a problem to delivering a solution
Lead the development of our AI-powered internal development platform, building the integrations, permissions, infrastructure, testing, deployment, and governance needed to make employee-created software reliable and useful
Recruit, develop, and lead exceptional engineers, and define the architecture, engineering standards, operating model, and culture that will allow the team to scale its impact
Partner with leadership across the company to identify the highest-impact opportunities for software and AI, and challenge conventional assumptions about what to build versus buy
About You:
An exceptional engineering leader with a strong technical foundation and experience building and shipping production software; you’ve led engineers, made sound architectural decisions, and delivered systems that people depend on.
A hands-on AI-native builder. You’re excited to start by building products yourself - writing code, working with AI coding agents, and taking solutions from idea to production. As the function grows, you’ll recruit and develop a team around you, gradually expanding its capacity and impact.
A pragmatic systems thinker who understands security, permissions, integrations, observability, testing, and maintainability, and knows how to apply the right level of rigor to each use case
A product thinker who cares about the problem being solved, not just the technology, and can turn ambiguous needs into useful products
Comfortable with ambiguity; you’re happy to move between strategy, architecture, hands-on building, and working directly with business teams
An organizational multiplier, excited about enabling other people to solve problems independently
Compensation and Benefits
Base Salary Range: $250,000 - $290,000 per year plus variable pay and equity as part of a total compensation package. Final compensation will be determined by the candidate’s experience, knowledge, and skills.
Comprehensive health coverage, with low-cost dental and vision plans.
A 401(k) with company match and vesting.
Fully paid parental leave for new parents, with extended leave options.
Additional benefits (mental health, pet insurance, and other wellness perks).
20 days of paid time off (PTO) annually.
There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride?
Via is an equal opportunity employer.
#LI-CG2
Location: Warsaw, Mazowieckie, Poland; Limassol, Cyprus; Sofia City, Bulgaria
Workplace: hybrid
Capital.com is building out its internal platform capabilities, and AI is a growing part of that. The role combines architectural ownership with hands-on delivery: you will design, build, deploy and operate the platform, including its infrastructure and DevOps. Reporting to the Director of Product Security, you will set up this function as its first member and make the early technical decisions that the future team will build on.
As Platform Architect, you will own the architecture of the platform that more than 1,000 employees rely on, including their access to AI tools such as Anthropic Claude, OpenAI and future providers.
Responsibilities:
Build the AI platform architecture: the reference design for how LLM capabilities are accessed, governed, monitored, and extended across the organisation.
Own every architectural decision for the AI platform, and document, justify, and stand behind each one.
Evaluate and select new models, tools, and frameworks as the market moves.
Deliver the platform as a service, so teams can move their agents into governed cloud infrastructure.
Govern Anthropic (Claude API, Claude Code, Anthropic Enterprise), OpenAI, and future providers, covering API access controls, credential management, model version policy, cost allocation, and acceptable use standards.
Own technical relationships with Anthropic and OpenAI at the enterprise level.
Build cloud infrastructure for AI workloads on AWS and GCP: Bedrock, SageMaker, Vertex AI, Cloud Functions, and supporting services (S3, Cloud Storage, IAM, and monitoring on both platforms).
Deploy and securely configure n8n, and build automation workflows connecting LLMs to Jira, Confluence, Slack, Google Workspace, HR systems, and proprietary data sources.
Design and secure MCP servers and gateways connecting AI agents to internal services.
Build Python integrations for AI-powered internal tooling: RAG pipelines, agent frameworks, prompt libraries, and internal AI assistants.
Deliver hands-on: you write the code, build the workflows, and deploy the tooling. This isn't an advisory role.
Build data privacy and security architecture for LLM usage in a regulated environment, including prompt classification, output controls, and audit trails aligned with FCA, CySEC, ASIC, and DORA.
Build observability across the full stack: token consumption, cost per team, latency, error rates, and policy violations across cloud platforms and direct API providers.
Build an AI adoption framework of standards, patterns, and onboarding materials that let teams across Technology use AI safely and consistently.
Run internal enablement through workshops, documentation, and direct support for teams moving from ad-hoc AI use to governed, repeatable processes.
Report AI platform status, risks, and roadmap to Technology leadership
Requirements:
8+ years in engineering, with at least 2 years building LLM-based systems in production, not prototypes or POCs.
Comfort operating as the first person in a function: you set your own priorities, unblock yourself, and deliver without a team around you.
Production-grade Python: tooling that others depend on, not scripts you hand off.
Deep, hands-on experience with the Anthropic and/or OpenAI APIs: function calling, tool use, streaming, RAG, prompt management, token optimisation, and model versioning.
Hands-on experience with agentic platforms, MCP servers, and MCP gateways, including designing flows between AI agents and internal services.
n8n: deploying, securely configuring, and maintaining multi-step automation workflows at organisation scale.
Solid AWS for AI workloads: Bedrock, SageMaker, Lambda, S3, IAM, and CloudWatch, deployed and operated in production.
Solid GCP for AI workloads: Vertex AI, Cloud Functions, Cloud Storage, IAM, and Cloud Monitoring.
Hands-on DevOps capability to deploy and run what you build.
Architectural thinking: end-to-end system design, clear trade-off documentation, and the ability to defend decisions to senior stakeholders.
Security engineering for what you build: secrets and credential management, key rotation, and least-privilege IAM across cloud and SaaS.
Data protection and auditability by design: classifying what data can reach which model and provider, controlling and logging prompts and outputs, and building audit trails that hold up to a regulator.
Fluency in the LLM threat surface, including prompt injection, data exfiltration through model outputs, insecure tool and agent use, and model supply-chain risk, with working knowledge of a recognised framework such as the OWASP LLM Top 10 or NIST AI RMF.
Nice to have:
Fintech, brokerage, or financial services background.
DORA or ISO 27001:2022 knowledge as it applies to AI system risk.
Familiarity with the EU AI Act and other AI regulatory requirements, as well as AI-specific risk and governance standards such as NIST AI RMF or ISO/IEC 42001.
LLM orchestration frameworks: LangChain, LlamaIndex, or similar.
Hands-on experience with LLM guardrail and DLP tooling: Bedrock Guardrails, Vertex AI safety filters, or prompt-firewall and PII-redaction tools.
Experience building internal developer platforms or AI centres of excellence.
AWS Solutions Architect Professional, Google Professional ML Engineer, or equivalent.
Grow with Capital.com and help shape how millions of people access the markets.
Location: Dakar, Senegal
Workplace: Hybrid
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
In West Africa, people wait for symptoms to get worse, wait months for an appointment, and depend on a health system stuck in paper and manual processes. We exist to end that wait.
Founded in 2022 in Senegal, Tanel is the first digital health insurer in francophone West Africa, operating in Senegal and Côte d'Ivoire. With 30,000+ members, a network of 1,200+ health facilities and 400+ pharmacies, and revenue multiplied by 7 in 2025, Tanel has proven real product-market fit.
In 2026, Alan, Europe's prevention-first health insurer (€950M+ revenue, 1M+ members in France, Belgium, Spain and Canada), acquired Tanel to accelerate its expansion in Africa. Together, we are building the reference health insurer in francophone West Africa, aiming for $200M in revenue by 2030.
🚀 WHY JOIN NOW?
Care is our members' first point of contact, and today it runs on the energy of a small, committed team: about 5 people across Dakar and Abidjan, answering members, HR admins and providers on WhatsApp, phone, email and the app.
What got us here will not get us to the next stage:
- Scale: our member base is set to grow several times over in the next 3 years.
- Expansion: after Senegal and Côte d'Ivoire, we plan to open new countries in the coming years.
- Integration: we are moving Care Africa onto Alan's ways of working (KPIs, rituals, playbooks) and, in 2027, onto Alan's tools and platform.
- Performance: we need to structure our KPIs: what we measure, why, and how we act on it, from response times to member satisfaction.
This is a rare chance to shape a Care organization from the ground up, with the backing of a Care Ops team that has already done it in several countries (France, Belgium, Spain, Canada).
⭐ THE ROLE
As Care Ops for Alan Africa, you are the most senior Care person on the ground. You do not manage the team directly: our crew lead does. You own the transformation: how the team is organized, how it grows, how it performs, and how it converges with the rest of Alan. You are part of Alan's global Care Ops team, and you bring local reality into global decisions as much as you bring global practices to Africa.
Your missions include:
1/ Design and roll out the target operating model
- Turn Alan's Care model into a version that works for Senegal and Côte d'Ivoire: how agents split their time between members and improvement work, opening hours, weekends, service levels we commit to.
- Define the team structure for the next 3 years: roles, tiers, one team or one per country.
- Set up outsourcing where it makes sense, and manage the performance of our external partners.
- Build the hiring plan with the crew lead and take part in recruitment, including final-round validation.
2/ Lead the integration with Alan
- Bring Alan's KPIs, rituals and playbooks to the local team, and make sure they stick through training and follow-up.
- Help the crew lead grow the team and coach agents into Care Experts who own improvement projects.
3/ Own operational performance, quality and tools
- Structure our KPIs and reporting: what we measure, why, and how we review it every week, including member satisfaction on WhatsApp and phone.
- Diagnose root causes behind delays, backlogs and member pain points, and turn them into concrete actions.
- Make sure our tools (ticketing, WhatsApp, phone) are set up and fully operational, and lead the transition to Alan's stack with Product, so local needs are built in.
- Provide the inputs (volumes, hours, productivity) that feed our staffing model and budget, and challenge the outputs.
4/ Be the bridge between local and global
- Represent Care Africa in Alan's Care community: share what works, raise what doesn't, contribute to global projects.
- Contribute to Care's strategic plan, for Africa and at global level.
⭐ YOU WILL EXCEL IN THIS ROLE IF YOU
- Have 5+ years of experience in customer service or customer experience operations, including structuring, scaling or turning around a team.
- Have led change in teams or functions you did not manage, and know how to earn buy-in rather than impose a playbook.
- Are data-fluent: you set and track the right KPIs, read and challenge an analysis, and use numbers to make decisions. You do not need to build forecasting models.
- Are fluent in French and work comfortably in English, written and spoken.
- Know the West African context and adapt your approach to the people and the market you work with.
- Are structured, autonomous and at ease with ambiguity: much is still to be defined, and you will help define it.
- Care deeply about access to healthcare and want to have a real impact on members' lives.
Strong pluses: experience in health, insurance or assistance; managing outsourcing partners; leading a CRM or tooling migration; running WhatsApp or phone-heavy support; speaking Wolof.
🎁 WHAT WE OFFER
- Permanent contract, full time, based in our Dakar office, with regular trips to Abidjan.
- A central role in a fast-growing African healthtech, backed by Alan's global Care team.
- Comprehensive health insurance through Alan for you and your family.
- All the tools you need to do your best work.
- Learning and training opportunities: a flexible policy, budgets for books and conferences.
- For this role, we are hiring within the C to E level range https://alan.com/en/careers/a/salary-equity (pay scale to confirm).
🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES
If this role excites you but you don't tick every box, we would love to hear from you. Everyone, including people from underrepresented groups, should feel free to apply: either we succeed, or we learn.
Location: Baku
Workplace: onsite
ABOUT YOU
You will play a pivotal role in delivering high-impact software solutions across our platform. You bring curiosity, initiative, and a passion for clean, scalable systems. You collaborate effectively with teammates and cross-functional partners to design, build, and improve our technical stack. You’re hands-on, deeply engaged in the code, and consistently seeking better ways to solve complex engineering challenges.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities
Design, build and maintain scalable, responsive interfaces in React and TypeScript across multiple Business Accounts.
Build and own shared remote modules (Module Federation) that plug into several host apps, keeping them versioned, backward compatible and safe to deploy independently.
Build UI with our xui design system, and help improve it by contributing components and patterns.
Turn product designs and user stories into high-quality, accessible UI components.
Integrate with REST and GraphQL APIs, and implement clear state management.
Handle authentication and session flows between host apps and modules, including passing Publisher Account tokens securely.
Optimize performance, loading and caching across browsers and devices.
Refactor legacy code (for example, older React and react-router versions) toward current best practices.
Write clean, testable code and keep test coverage healthy.
Use AI tools (Claude Code, Cursor, etc.) every day to design, build, test and refactor code faster without lowering quality.
Add AI-assisted code review on top of manual review, check AI-generated code carefully, and help the team set good practices for AI-driven development.
Lead frontend design reviews and contribute to architecture decisions (ADRs).
Work closely with product, design, backend and partner teams such as Publisher Account and Site Builder to deliver features end to end.
Contribute to planning, estimation and delivery tracking.
Mentor engineers and give constructive code reviews.
Requirements
6+ years of professional software development experience.
4+ years of hands-on experience with React and TypeScript.
Deep knowledge of modern JavaScript (ES6+), HTML5, CSS3 and Web APIs.
Experience with design systems and CSS-in-JS (for example styled-components), and responsive layouts.
Experience with REST and GraphQL APIs; familiarity with WebSockets and real-time data.
Hands-on experience using AI coding assistants in daily work, and the judgment to review, test and correct what they produce.
Comfortable with Git, CI/CD pipelines (GitLab preferred) and agile workflows.
Experience with testing tools such as Jest, React Testing Library, Cypress or Playwright.
Good written and spoken English, with the ability to explain technical trade-offs to non-technical stakeholders
Nice to have
Experience with microfrontends (Module Federation) or monorepos.
Experience building or maintaining a shared component library or design system.
Experience with SSO, OAuth2 or JWT-based authentication across apps.
Experience working with a headless CMS.
Experience with Next.js, SSR/SSG or hybrid rendering.
Experience with B2B dashboards, admin tools or self-service portals.
Experience setting up AI workflows for a team, such as agents, custom skills or prompts, automated MR review, or AI-assisted testing.
A strong eye for UX polish, animation and interaction design.
The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: Paris; Warsaw; 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.
As a Research Engineer on the Orchestral team, you will help build the agentic platform we use to train and evaluate our models. Orchestral is the system our researchers rely on to run training and evaluation at scale — from the rollout engine that powers agentic workflows to the infrastructure that keeps their workloads running reliably. What you build becomes the foundation the whole science team works on.
Your work will span the platform's core: the library, tooling, abstractions and rollout engine — including new capabilities like long-running tasks, subagents and RL features — and the machinery that runs data and jobs at scale, with a focus on resiliency, routing and request handling. You will own significant pieces end to end, from design to production.
This is a software engineering role rather than an ML or infrastructure-operations one: RL or PyTorch experience is not required, and you will spend your time building the platform, not operating it. You will be building a distributed RL system, with the scientists as your users.
WHAT YOU WILL DO
- Design and build the core of the Orchestral platform: the library, abstractions and tooling researchers use to train and evaluate models.
- Build and evolve the rollout engine, shipping new capabilities such as long-running tasks and subagents.
- Run Orchestral as a production system: keep training and evaluation workloads reliable at scale.
- Improve how data and jobs flow through the platform as usage grows — scheduling, routing and request handling.
- Treat researchers as your users: understand their workflows and turn recurring needs into robust, shared tooling.
- Raise the bar on engineering quality across the platform: testing, code review, CI/CD, observability and documentation.
- Contribute to open-source rollout-engine and agent-infrastructure projects where it benefits the platform.
WHAT WE'RE LOOKING FOR
- Experience directly building and debugging complex distributed systems at scale, with an emphasis on reliability and scalability.
- Strong Python skills and solid software-design instincts: testing, code review, CI/CD.
- A builder mindset: you have constructed systems from the ground up, not just operated polished ones.
- A track record in small teams running complex systems at scale — for example in finance, crypto or ad tech.
- Self-starter, low-ego and collaborative, with a product mindset toward your users.
- Curiosity about ML and RL — this experience is not required, but a desire to learn is.
NICE-TO-HAVES
- Hands-on experience with Ray or similar distributed-computing frameworks.
- Open-source contributions, especially to rollout-engine or agent-infrastructure projects such as SLIME, verl or PrimeRL.
- Experience building or working with agentic workflows and 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: Baku
Workplace: onsite
ABOUT YOU
You will play a pivotal role in delivering high-impact software solutions across our platform. You bring curiosity, initiative, and a passion for clean, scalable systems. You collaborate effectively with teammates and cross-functional partners to design, build, and improve our technical stack. You’re hands-on, deeply engaged in the code, and consistently seeking better ways to solve complex engineering challenges.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities
Build and ship reliable, secure and scalable backend services in Go.
Own features from design to deployment, with attention to maintainability, security and performance.
Design and build APIs and SDKs used by Business Account frontends, microfrontends and other Xsolla teams.
Build and maintain identity flows such as user creation, login, MFA, SSO and token validation across multiple accounts and clients.
Design multi-tenant services with clear data isolation and per-account configuration.
Take part in architecture discussions and write or review ADRs.
Refactor legacy code to improve structure and efficiency without breaking existing features.
Own production readiness with Datadog: dashboards, monitors and alerts, APM and tracing, log analysis, incident response and root cause analysis.
Write clear, testable, well-documented code, with a focus on quality and automation.
Use AI tools (Claude Code, Cursor, etc.) every day to design, build, test and refactor code faster without lowering quality.
Add AI-assisted code review on top of manual review, check AI-generated code carefully, and help the team set good practices for AI-driven development.
Work with product, frontend, design and platform teams to agree on goals and deliver end to end.
Contribute to technical scoping and estimation.
Reduce technical debt and keep improving the developer experience.
Mentor engineers and give constructive code reviews.
Requirements
6+ years of professional software engineering experience.
2+ years of hands-on Go experience in production.
Strong experience with PostgreSQL and/or MySQL, including schema design and query performance.
Experience designing and building REST APIs (gRPC is a plus).
Hands-on experience with Docker, Kubernetes and Helm.
Experience with message brokers such as RabbitMQ or Kafka.
Comfortable with Git and CI/CD pipelines (GitLab preferred).
Solid understanding of authentication and authorization basics: OAuth2, JWT, sessions and tokens.
Hands-on experience with observability tools, ideally Datadog: metrics, logs, APM/traces and alerting.
Hands-on experience using AI coding assistants in daily work, and the judgment to review, test and correct what they produce.
Basic understanding of cloud platforms (Google Cloud Platform preferred).
Working knowledge of frontend technologies, especially React.
Good written and spoken English, with the ability to explain technical trade-offs to non-technical stakeholders.
Nice to have
Experience building scalable, secure login or identity platforms (Login-as-a-Service).
Deep knowledge of OAuth2, OIDC, SAML, MFA, and session and token management.
Experience with social login, SSO and federated identity.
Experience designing multi-tenant identity systems with isolation and configurability.
Experience delivering developer-friendly APIs, SDKs and integration docs.
Experience with OpenTelemetry, SLOs and error budgets.
Experience with B2B platforms, partner portals or marketplaces.
Experience setting up AI workflows for a team, such as agents, custom skills or prompts, automated MR review, or AI-assisted testing.
The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Animoca Brands Corporation Limited is looking for a Go-to-Market AI Product Manager to launch polished product lines, optimize onboarding, and drive rapid iteration.
What you’ll be doing: Define and evolve the product vision and roadmap for our AI experiences, including Agentic AI, driving app growth. Drive rapid iterations based on customer feedback and product data.
Location: London
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
ABOUT THE ROLE
As an Associate in Strategic Finance, you'll focus on turning financial and commercial data into clear insight - enabling leadership to deeply understand our business and the drivers of performance. You’ll partner with Data Engineering, Finance and cross-functional stakeholders, and build analytical workflows to support fast and data-driven decision-making.
WHAT YOU’LL BE DOING
- Analyse commercial and business performance - evaluating the full P&L and measuring ROI in order to help the business assess where it is creating value.
- Translate ambiguous requests from leadership, Finance and cross-functional stakeholders into clear, decision-ready insights.
- Craft executive-style deliverables, which may include decks, models, written documents or AI-powered apps.
- Leverage AI tooling as a force multiplier to build and automate reusable analytical workflows that enable your stakeholders to quickly understand performance.
- Drive continuous reporting improvements, standardisation, and simplification whilst documenting definitions and limitations - leaving no room for approximation.
- Collaborate directly with Data Engineering and Data Science to support the development and enhancement of our core financial data models, and the context layer that enables AI agents to leverage that data.
- You will be empowered to work directly with Finance and Data partners to scope requirements and deliver initiatives end-to-end.
WHAT WE LOOK FOR
ESSENTIAL CRITERIA
- You’ll have 3+ years of relevant experience in data-driven and analytical roles, and hold a bachelor’s or master’s degree in a quantitative or business discipline.
- Strong analytical thinking: you’re comfortable working with numbers, identifying the underlying patterns and drawing sound conclusions.
- Excellent verbal and written communication skills: you have the ability to adjust your style to suit different perspectives and seniority levels.
- Commercial curiosity: you want to dive into the details to understand how merchant, product, and commercial dynamics affect financial performance.
- Confidence with data tools: You have strong spreadsheet skills and experience with BI tooling and data platforms, or demonstrate a clear aptitude and willingness to learn. Python and SQL experience is a plus.
- Exceptional attention to detail: you rigorously validate data, pressure-test assumptions, and transparently communicate analytical limitations.
- You’ve used AI hands-on in a business environment to create new tooling or workflows.
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Location: Москва
**AEF (Agent Execution Framework)** — платформа Сбера для запуска и контроля AI-агентов и мультиагентных систем. Она делает работу агентов надёжной, наблюдаемой и безопасной. Сейчас мы выпускаем **AEF.Lite** — открытую версию платформы. Компании экосистемы должны разворачивать её у себя «одной командой» и сразу получать трейсинг, контроль и связь с Банком.
Ищем системного аналитика, который хочет вырасти в **solution-архитектора**. Вы разберётесь, как устроены агенты и инфраструктура у разных компаний, спроектируете для них лучшее решение и доведёте его до продакшна.
Обязанности
* исследовать архитектуру и инфраструктуру агентов в компаниях экосистемы: как агенты устроены, где запущены, какие ограничения по безопасности и сети. По итогам проектировать схему подключения к AEF
* проектировать дистрибутив AEF.Lite: из каких компонентов он состоит, как они взаимодействуют, как ставится и обновляется, как банковские сервисы заменяются open-source аналогами (OIDC/Keycloak, Kubernetes, Istio)
* проектировать сбор и передачу трейсов и метрик агентов: OpenTelemetry, access-логи окружения, Kafka-контракты, модель данных, обезличивание
* проектировать API и контракты интеграций и описывать нефункциональные требования: надёжность, поведение при недоступности каналов, безопасность, объёмы
* декомпозировать бизнес-сценарии в требования и архитектуру AI-решений, задавать критерии качества и безопасности агентов (guardrails, evals)
* быстро проверять архитектурные гипотезы на стенде вместе с разработкой и DevOps: прототип, замер, решение
* вести документацию как код (Markdown, PlantUML): требования, архитектурные решения, открытые вопросы, словарь
* сравнивать AEF с рыночными решениями (фреймворки агентов, observability, evals) и приносить лучшие практики в продукт.
Требования
* **опыт:** от 3 лет в системном анализе или проектировании IT-систем. Для кандидатов с глубокой экспертизой в разработке GenAI-продуктов готовы рассматривать меньший стаж
* **интеграции и архитектура данных:** проектирование REST/gRPC API, асинхронного обмена сообщениями (Kafka/PubSub), разработка форматов данных (JSON/XML) и контрактов (OpenAPI/AsyncAPI)
* **архитектура LLM-приложений:** понимание принципов работы генеративных моделей. Умение описывать обвязку вокруг модели (промпты, парсеры, оркестратор)
* **практический опыт разработки агентов:** работа хотя бы с одним из стеков: LangChain/LangGraph, CrewAI, прямые вызовы OpenAI/Anthropic API, Model Context Protocol (MCP)
* **инфраструктура:** базовое понимание контейнеризации (Docker), Kubernetes (умение читать манифесты `Deployment`, `Service`), концепции _service mesh_
* **моделирование и документация:** владение нотациями UML/C4 для создания sequence-диаграмм, диаграмм компонентов и развертывания
* **инструменты:** уверенное использование AI-ассистентов (Claude Code, Cursor, GitHub Copilot) для анализа кода, генерации прототипов и подготовки технической документации
Условия
* комфортный современный офис рядом с м.Кутузовская
* возможность выбрать удобный график – офис/гибрид
* ежегодный пересмотр зарплаты, годовая премия
* корпоративный спортзал и зоны отдыха
* более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
* программа адаптации и помощь руководителя на старте (для Junior позиций)
* расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
* льготная ипотека для каждого сотрудника
* бесплатная подписка Прайм с возможностью совместного использования на трёх близких
* вознаграждение за рекомендацию друзей в команду Сбера.
* корпоративная пенсионная программа
* отсутствие строгого дресс-кода.
About the role:
The Global Alliance Lead is a senior individual contributor role reporting to the Global Head of GSI Relationships. The role involves owning the relationship with a leading technology and transformation partner end-to-end, from C-suite engagement to practitioner enablement and joint pipeline creation. The candidate will architect how the GSI and NewCo go to market together, ensuring the platform becomes the trusted data foundation inside the GSI’s agentic AI delivery practice globally. The role requires orchestration across sales, partner solution architecture, marketing, and partner operations.
What You'll Do:
- Own the global GSI relationship at partner and C-suite level, building trusted relationships with client, practice, and delivery team leads.
- Define and execute a multi-year joint strategy positioning dbt + Fivetran as the default open data infrastructure layer within the GSI’s enterprise AI and agentic workflow delivery.
- Represent NewCo at GSI’s internal forums, client briefings, and industry events.
- Drive adoption of the dbt + Fivetran platform within GSI delivery teams, ensuring certification and active recommendation.
- Embed NewCo's platform into GSI business groups, delivery architectures, RFP responses, and client proposals.
- Design and execute enablement programs including certifications, reference architectures, use case playbooks, and joint delivery assets.
- Partner with GSI marketing and alliances teams to develop joint go-to-market campaigns.
- Support GSI in building client-facing agentic AI value accelerators with NewCo platform as the foundational data layer.
- Source and develop new pipeline opportunities through the GSI relationship.
- Drive co-sell motions alongside GSI account teams.
- Maintain rigorous tracking of GSI-engaged pipeline.
- Define and track signals indicating a healthy, high-performing GSI relationship.
- Report regularly on alliance health, pipeline contribution, and strategic progress.
- Identify risks and gaps early and mobilize resources to address them.
What you will bring:
- 15+ years of experience in strategic alliances, enterprise sales, or partner management within data, cloud, or enterprise software.
- Experience managing complex global relationships with major consulting firms or GSIs at senior level.
- Deep understanding of modern data stack and business value of open data infrastructure; experience with dbt, Fivetran, or equivalent preferred.
- Ability to engage credibly at C-suite and partner level within global consulting organizations.
- Strong commercial instincts to identify and develop joint pipeline opportunities.
- Track record as a cross-functional orchestrator influencing sales, engineering, marketing, and operations.
- Exceptional communication and storytelling skills.
- Familiarity with AI, agentic workflows, data governance, and GSI operating models.
- Willingness to travel globally.
What Success Looks Like in Year One:
- Defined joint strategy with GSI signed off at executive level.
- Increased GSI practitioner certifications and platform deployments.
- GSI-sourced pipeline contributing to revenue.
- At least two joint go-to-market campaigns live.
- Client-facing agentic value accelerators delivered.
- Telemetry framework tracking alliance health and pipeline influence.
Perks and Benefits:
- 100% employer-paid medical insurance.
- Generous paid time off including vacation, sick time, parental leave, holidays, and volunteer days.
- RSU stock grants.
- Professional development and training.
- Company virtual happy hours, free food, and team-building activities.
- Monthly cell phone stipend.
- Access to mental health support platform.
Additional Information:
- The role qualifies for Fivetran’s incentive plan with total on-target earnings.
- Compensation range for Denver location: $165,739 to $280,000 USD per year including OTE.
- Remote work from Denver, Colorado, United States.
- Commitment to diversity, equity, inclusion, and accommodations during interview process.
To apply: https://weworkremotely.com/remote-jobs/fivetran-global-alliance-lead-capgemini
ГибридheadParis; 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
ГибридGermany; Austria
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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ГибридWarsaw, Mazowieckie, Poland; Limassol, Cyprus; Sofia City, Bulgaria
ГибридDakar, Senegal
ОфисseniorBaku
Paris; Warsaw; 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
ОфисseniorBaku
ОфисLondon
Москва
УдалённоleadГеография найма не уточнена, офис: Denver