Location: Kuala Lumpur, Malaysia
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.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
This is a frontline client service role that works closely with the Relationship Manager (RM) team to provide professional and consistent support to key clients. The role is responsible for handling client inquiries effectively, ensuring timely issue resolution, and delivering a seamless and consistent service experience.
Please note that you may be employed in a jurisdiction where OKX operates a global service hub, and does not carry on business operating as a virtual asset trading platform in your jurisdiction.
What You’ll Be Doing
Deliver Exceptional Client Support:
Provide timely, attentive support to key clients while building and maintaining strong client relationships through day-to-day service interactions.
Coordinate Client Services:
Work closely with the Relationship Manager (RM) team to deliver seamless client care by responding to inquiries, coordinating service requests, maintaining accurate records, and ensuring timely follow-up.
Ensure Service Excellence:
Deliver responsive support through instant messaging and other communication channels, understand client needs, resolve issues efficiently, and handle complaints or service escalations with professionalism.
Manage Client Operations:
Support the RM team with clients' day-to-day operational matters, including information processing, research, and feedback consolidation. Ensure all outstanding tasks are properly documented and handed over at the end of each shift.
Identify and Escalate Issues:
Recognize sensitive, high-risk, or urgent situations and escalate them promptly in accordance with established internal procedures.
Maintain Compliance & Data Security:
Adhere to all applicable compliance, regulatory, and data privacy requirements, ensuring sensitive information is handled securely and in line with company policies.
What We Look For In You
Education & Language:
Bachelor's degree or above, preferably in Business, Finance, Communications, or a related field. Fluent Mandarin is required, as this role supports native Mandarin-speaking clients and works closely with Mandarin-speaking business stakeholders.
Relevant Experience:
At least 3 years of experience in client service, client relations, or customer support. Experience in financial services or supporting high-value clients/key accounts is highly preferred.
Client-Centric Mindset:
Strong service orientation with the ability to remain composed when supporting demanding clients. Excellent verbal and written communication skills, strong sense of ownership, and exceptional attention to detail.
Problem Solving & Judgment:
Able to manage multiple priorities effectively, exercise sound judgment in sensitive situations, and demonstrate strong awareness of information security and confidentiality.
Flexibility:
Willing to work on a rotating shift schedule, including morning, afternoon, and evening shifts, and able to adapt to flexible rostering requirements.
Perks & Benefits
Competitive remuneration package (Basic Salary + Shift Allowance + KPI Allowance + Yearly Bonus)
Meal allowance
Transportation allowance (T&C apply)
Monthly team building
Fitness & wellness benefits per annum
Convenient workplace (5 minutes walk from MRT TRX)
Insurance coverage for employees & dependants
Excellent prospects for growth and promotion
Employee engagement, recognition and appreciation program
Multinational working environment: Advance your career by interacting with individuals from various backgrounds, cultures, and nations
#LI-Onsite #LI-JC3
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: Remote: United States
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
We're looking for a Staff Product Manager to own the vision and roadmap for observability at Render. The role spans both the systems layer and the fast-emerging world of agent observability. This is a role for someone who wants to define what it means to understand your software in an era where AI is fundamentally changing how it gets built and run: where a production incident might trace through services, queues, model calls, and autonomous agent decisions, and where cost is measured in tokens as much as CPU-hours.
This is a new specialization at Render, and you will own the visibility layer for AI workloads and drive the technical and strategic direction for Render's observability surface, including logs, metrics, traces, and the OpenTelemetry ecosystem. You'll engage with Render's customers and our product development teams to develop a deep understanding of how they debug, monitor, and manage spend, and build conviction about where observability needs to go next.
WHAT YOU'LL DO
- Own the vision, strategy, and roadmap for observability at Render. Your scope spans systems telemetry (logs, metrics, distributed tracing), OpenTelemetry-native instrumentation and export, agent and LLM observability (traces of model calls, tool use, and multi-step agent runs), and the cost and usage layer that makes token economics legible.
- Drive prioritization across observability investments, balancing foundational telemetry infrastructure against near-term product needs.
- Partner deeply with Engineering & other Product teams to shape the technical direction of Render's telemetry pipeline, ensuring architectural decisions optimize for signal fidelity, query performance, and cost at scale. Observability touches every product surface at Render, so the dexterity to understand the shape of our other investment areas is essential.
- Develop a strong, opinionated point of view on what observability means for AI-native builders. How will OTel conventions extend to agent workloads, what a trace of an agent run could look like inside Render, and how teams should reason about token spend, model routing, and cost attribution.
WE'RE LOOKING FOR
- 7+ years in Product Management, with substantive experience in observability, monitoring, developer tools, or infrastructure products.
- Working fluency with the OpenTelemetry ecosystem — signals, semantic conventions, collectors, and the tradeoffs of instrumenting real production systems. Bonus if you've tracked the emerging conventions for GenAI and agent observability.
- Familiarity with the economics of AI workloads: token pricing, model selection tradeoffs, and how teams budget for and attribute LLM spend. Major bonus if you've worked on an LLM gateway, proxy, or metering product.
- Deep developer empathy, for both internal engineering teams and our customers, and the technical depth to make sound architectural tradeoffs in collaboration with engineering.
- A track record of taking ambiguous, cross-cutting problems and turning them into clear strategy and shipped outcomes.
- Strong communication and storytelling skills.
WHAT WOULD BE NICE TO HAVE BUT NOT REQUIRED
- Experience as an SRE, observability engineer, or infrastructure engineer.
- Hands-on experience building AI agents, or instrumenting and evaluating them in production.
- Contributions to OpenTelemetry or adjacent open-source telemetry projects.
If this role excites you but you don't meet every single requirement or your experience is in an adjacent role such as engineering management, we'd still love to hear from you. Your unique experience might be just what we need.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view
Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view
Location: Remote: United States
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
We're looking for a Staff Product Manager to own the vision and roadmap for Render's datastores portfolio, with our Postgres offering at the center. You will define what a modern managed database experience looks like, including how database products will adapt to new state patterns from agents and how agents as users of state-keeping products should be accommodated.
You'll drive the technical and strategic direction for Render Postgres and our broader data layer, working directly with your team and infrastructure engineering to shape architectural decisions. You'll engage with Render's customers and our product development teams to develop a deep understanding of their data needs and build conviction about where the datastores portfolio needs to go next.
WHAT YOU'LL DO
- Own the vision, strategy, and roadmap for Render's datastores, anchored on Postgres. Your scope spans provisioning and lifecycle management, high availability and disaster recovery, backups and point-in-time recovery, scaling and performance, connection management, and the extension ecosystem.
- Drive prioritization across Render's data investments, balancing the leverage of foundational reliability work — replication, failover, storage performance — against near-term product and business needs, and being able to negotiate those tradeoffs.
- Partner deeply with Engineering & other Product teams to shape the technical direction of Render's data layer, ensuring architectural decisions optimize for durability, performance, and operational simplicity. Databases are where customer trust is won or lost, so an instinct for reliability and data safety is essential.
- Develop a strong, opinionated point of view on how managed Postgres needs to evolve to serve AI-native builders — from vector workloads and retrieval pipelines to databases that are spun up, branched, and torn down programmatically by agents at scale.
- Set the standard for how developers experience data on Render, providing clear guidance, sensible defaults, and abstractions that make it easy for teams to run production databases with confidence — without needing a DBA on staff.
WE'RE LOOKING FOR
- 7+ years in Product Management, with the majority spent on databases, data infrastructure, developer tools, or platform products.
- Familiarity with Postgres — its architecture, operational model, ecosystem, and the tradeoffs teams face running it in production. Bonus if you have strong perspective on how agentic workloads and AI-native applications are reshaping database usage patterns.
- Deep developer empathy, for both internal engineering teams and our customers, and the technical depth to make sound architectural tradeoffs in collaboration with engineering.
- A track record of taking ambiguous, high-stakes reliability and infrastructure problems and turning them into clear strategy and shipped outcomes.
- Strong communication and storytelling skills.
WHAT WOULD BE NICE TO HAVE BUT NOT REQUIRED
- Experience as a database engineer, DBA, or infrastructure engineer.
- Hands-on experience with Postgres internals, replication tooling, or the extension ecosystem (e.g., pgvector, PostGIS).
- Experience building AI agents or the data infrastructure that powers them.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view
Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view
Location: Anywhere in Québec
La santé n'attend pas.
Pas le temps que les symptômes s'aggravent. Pas six mois d'attente pour un rendez-vous. Pas le temps que le système rattrape son retard. C'est pourtant ainsi que fonctionne la santé aujourd'hui : on attend, jusqu'à ne plus pouvoir.
Alan existe pour mettre fin à l'attente.
La santé est un droit universel, et nous sommes convaincus que ce droit ne prend tout son sens que lorsqu'il va de pair avec la prévention. Il faut cesser de voir la santé comme quelque chose que l'on répare pour la penser comme quelque chose que l'on construit, jour après jour. Ce n'est pas qu'une question de volonté : c'est le système de santé lui-même qui doit fonctionner pour tous, et de façon durable.
C'est pourquoi nous bâtissons la nouvelle référence en matière d'assurance prévention. Alan est la première entreprise à réunir l'assurance, la prévention et les soins dans une seule expérience, saluée par nos membres.
Nous vivons une aventure hors du commun : construire une entreprise de premier plan à l'échelle mondiale, portée par une culture unique https://alan.com/en/careers. Nous comptons déjà plus de 40 000 entreprises clientes de toutes tailles, couvrons plus d'un million de membres et avons dépassé les $1B d'ARR.
La prévention comme nouvelle norme : voilà ce que nous construisons avec notre équipe de plus de 800 personnes. Si cela vous parle, sachez que nous recrutons en France, en Espagne, en Belgique et au Canada. Et au-delà.
🐼 Qui sommes-nous ?
Vous. En mieux. Avec Alan.
La vision d'Alan est de faire de la prévention la nouvelle norme des soins, pour tous. Notre mission : aider chacun à vivre en bonne santé jusqu'à 100 ans, et permettre aux employeurs de faire des avantages santé leur investissement le plus précieux, plutôt qu'un simple centre de coûts.
Nous bâtissons un partenaire santé intégré de bout en bout, qui réunit sans couture l'assurance et une offre de soins intelligente au sein d'un même système.
En reliant toutes les dimensions du soin — privé, public et en accès direct — nous créons une expérience de santé pensée autour du membre. Nous accompagnons chacun pour prendre soin de soi au quotidien et vivre en meilleure santé.
🤘 Comment travaillons-nous ?
Celles et ceux qui rejoignent Alan sont toujours surpris et séduits par notre méthode de travail. Un ensemble de valeurs culturelles https://alan.com/about/company-culture guide notre façon de faire, parmi lesquelles :
🎯 Ce qui nous anime — Aider nos membres à vivre en meilleure santé
1. La mission avant tout : penser à long terme et placer la réussite de notre mission au premier plan.
2. Satisfaire le membre et le client : nous sommes entièrement tournés vers la résolution de leurs problèmes et la création des expériences les plus agréables.
🏆 Comment nous cultivons l'excellence — Recruter les meilleurs et leur donner les moyens de réussir
1. Champions de l'excellence : des standards très élevés et une forte densité de talents.
2. Responsabilité distribuée : des « despotes éclairés » qui assument pleinement leurs décisions et leurs résultats.
3. Radicalement transparents : toute l'information est accessible et couchée par écrit en priorité, pour que chacun décide au mieux, de façon asynchrone.
🤝 Comment nous progressons ensemble — Nous aider mutuellement grâce aux feedbacks honnêtes et à une pensée audacieuse
1. Alchimie optimiste : des optimistes qui collaborent avec une bienveillance sincère et soutiennent leurs coéquipiers.
2. Challengers empathiques : des feedbacks directs et bienveillants, doublés d'encouragements, pour progresser ensemble sur le plan professionnel.
3. Contrariens audacieux et créatifs : penser autrement et oser de nouvelles approches pour viser l'excellence.
⚡ Comment nous avançons rapidement — Combattre la complexité et nous concentrer sur l'essentiel
1. Rigoureux dans l'exécution : agir avec détermination et une concentration qui fait fructifier le succès dans la durée.
2. Se battre pour la simplicité : uniquement des processus à fort impact, et une frugalité intelligente.
🙌 Qui recherchons-nous ? 🙌
Nous recherchons un psychothérapeute pour notre nouveau service de téléthérapie destiné à nos membres au Québec. Si vous avez envie d'être à l'avant-garde de l'innovation et de rejoindre une équipe exceptionnelle, ce poste est fait pour vous. Fidèles à nos valeurs de simplicité, de transparence et de prévention, nous sommes pleinement mobilisés pour offrir une expérience remarquable aux Québécoises et aux Québécois, avec le lancement de notre service au Québec et partout au Canada 🇨🇦 (les permis valables dans plusieurs provinces sont donc les bienvenus !).
🌳 Critères de sélection :
* Maîtrise du français à l'oral et à l'écrit (langue maternelle ou niveau équivalent), les séances avec nos membres au Québec se déroulant majoritairement en français.
* Détenir le droit d'exercer la psychothérapie au Québec, c'est-à-dire l'un des statuts suivants :
Psychologue membre en règle de l'Ordre des psychologues du Québec (OPQ) ; ou
Titulaire du permis de psychothérapeute délivré par l'OPQ, à titre de membre en règle d'un ordre professionnel habilité — notamment l'Ordre des travailleurs sociaux et des thérapeutes conjugaux et familiaux du Québec (OTSTCFQ) ou l'Ordre des conseillers et conseillères d'orientation du Québec (OCCOQ) ; ou
* Médecin membre du Collège des médecins du Québec autorisé à exercer la psychothérapie.
Connaissance du français reconnue aux fins de l'admission à l'ordre professionnel : les personnes n'ayant pas fait leurs études en français doivent avoir réussi l'examen de français de l'Office québécois de la langue française (OQLF), conformément à la Charte de la langue française.
* Bonne connaissance de la TCC (thérapie cognitivo-comportementale), de la thérapie des schémas, de l'EMDR ou de la thérapie ACT.
* Des spécialités en phase avec les besoins de nos membres : stress, épuisement professionnel, estime de soi, dépression et traumatismes.
* Une spécialisation en thérapie auprès des adultes.
* De 5 à 7 ans d'expérience professionnelle au minimum.
* Une disponibilité d'au moins 3 heures par semaine.
* Une réelle aisance avec les outils et plateformes numériques.
* Une preuve d'assurance responsabilité professionnelle (minimum de 5 M$ CA).
⭐ Des atouts supplémentaires :
* La maîtrise d'une autre langue (anglais, espagnol, arabe, créole, etc.).
* Un permis d'exercice dans une autre province (p. ex. Ontario, Colombie-Britannique ou Alberta).
* Une formation en thérapie cognitive basée sur la pleine conscience (MBCT).
⚡️ Processus de recrutement :
Le processus se déroule en deux étapes. Vous pourrez bien sûr poser toutes vos questions : nous recherchons des personnes exceptionnelles et tenons à ce que vous mesuriez pleinement l'aventure qui vous attend.
* Premier entretien :
* Rencontre avec l'équipe Alan (30-45 minutes), pour faire connaissance et préciser notre organisation et nos attentes.
* Deuxième entretien :
* Entretien technique (45 minutes) avec Lydia Martin, responsable du programme mondial de santé mentale d'Alan. Titulaire d'un doctorat en psychologie, elle échangera avec vous sur votre expertise et vos connaissances thérapeutiques.
Feedback : dans l'esprit de transparence propre à Alan, nous nous efforçons de donner du feedback à chaque étape et de revenir vers vous sous 48 heures (les fins de semaine ne comptent pas !).
🙌 Avantages et privilèges
Chez Alan, vous contribuez à bâtir la plateforme de santé mentale de nouvelle génération, qui donne à de nombreuses personnes accès à un accompagnement personnalisé. Voici ce que nous offrons :
* Une rémunération attrayante.
* Une grande souplesse d'horaire et de lieu de travail : vous pouvez travailler depuis votre domicile ou votre cabinet (les rendez-vous avec nos membres se déroulent en téléconsultation).
* La possibilité de rejoindre une communauté soudée de thérapeutes, où grandir, échanger et apprendre ensemble.
* L'accès à une patientèle en croissance.
* La chance de contribuer à déstigmatiser la santé mentale et à y ancrer une approche préventive.
* La participation à une réunion d'équipe d'une heure chaque mois.
Note importante : nous recrutons des personnes, pas des rôles.
Après avoir lu cette description, si vous avez le sentiment de ne pas réunir tous les prérequis, mais que le poste correspond à là où vous en êtes ou à ce vers quoi vous souhaitez évoluer, nous vous encourageons à postuler.
Tout le monde n'ira pas au bout de notre processus de recrutement, mais chacun, aussi sous-représenté soit-il, devrait se sentir libre de tenter sa chance : il n'y a que des apprentissages, ou des réussites, à en tirer.
🔖 Pour en savoir plus, consultez nos pages À propos d'Alan https://alan.com/aboutet Carrières https://alan.com/careers, ainsi que notre Medium https://medium.com/alan, notre blogue https://blog.alan.com et notre page Glassdoor https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm.
Location: USA - New York
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust.
Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh.
This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane.
Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that:
Builds Infrastructure Agents Can Trust
— join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start.
Embraces Open Standards
— help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute.
Scales Without Breaking
— work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled.
We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript.
This is a full-time hybrid position based out of our New York, NY office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes
What You’ll Do
Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others
Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features
Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another
Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI
Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse
Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale
Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most
Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human
Take high-level direction from product and leadership and independently define and execute the concrete plan to get there
Mentor other engineers and raise the technical bar across the Fivetran AI team
Contribute to hiring by participating in and helping shape the interview process
Skills We’re Looking For
8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work
Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams
Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems
Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype
Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it
Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar)
Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand
Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements
Experience using coding agents or similar AI tooling to speed up day-to-day engineering work
Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team
Thrives in a startup-like environment with shifting priorities and a high degree of ownership
Bonus Skills
Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks
Familiarity with semantic layers — dbt, LookML, Sigma, or similar
Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations
Background in site reliability engineering — monitoring, alerting, incident response
Experience in data processing (ETL, ELT) and/or building data connectors
Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker
Contributions to open source AI or data projects
#LI-HYBRID #LI-AM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
New York Pay Range
$196,033
—
$245,041.50 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Denver, Colorado, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust.
Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh.
This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane.
Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that:
Builds Infrastructure Agents Can Trust
— join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start.
Embraces Open Standards
— help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute.
Scales Without Breaking
— work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled.
We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript.
This is a full-time hybrid position based out of our Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes
What You’ll Do
Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others
Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features
Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another
Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI
Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse
Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale
Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most
Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human
Take high-level direction from product and leadership and independently define and execute the concrete plan to get there
Mentor other engineers and raise the technical bar across the Fivetran AI team
Contribute to hiring by participating in and helping shape the interview process
Skills We’re Looking For
8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work
Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams
Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems
Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype
Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it
Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar)
Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand
Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements
Experience using coding agents or similar AI tooling to speed up day-to-day engineering work
Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team
Thrives in a startup-like environment with shifting priorities and a high degree of ownership
Bonus Skills
Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks
Familiarity with semantic layers — dbt, LookML, Sigma, or similar
Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations
Background in site reliability engineering — monitoring, alerting, incident response
Experience in data processing (ETL, ELT) and/or building data connectors
Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker
Contributions to open source AI or data projects
#LI-HYBRID #LI-AM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Denver Pay Range
$183,711
—
$229,638.75 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: USA - Austin (dbt)
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust.
Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh.
This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane.
Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that:
Builds Infrastructure Agents Can Trust
— join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start.
Embraces Open Standards
— help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute.
Scales Without Breaking
— work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled.
We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript.
This is a full-time hybrid position based out of our Austin, TX office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes
What You’ll Do
Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others
Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features
Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another
Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI
Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse
Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale
Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most
Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human
Take high-level direction from product and leadership and independently define and execute the concrete plan to get there
Mentor other engineers and raise the technical bar across the Fivetran AI team
Contribute to hiring by participating in and helping shape the interview process
Skills We’re Looking For
8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work
Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams
Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems
Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype
Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it
Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar)
Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand
Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements
Experience using coding agents or similar AI tooling to speed up day-to-day engineering work
Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team
Thrives in a startup-like environment with shifting priorities and a high degree of ownership
Bonus Skills
Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks
Familiarity with semantic layers — dbt, LookML, Sigma, or similar
Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations
Background in site reliability engineering — monitoring, alerting, incident response
Experience in data processing (ETL, ELT) and/or building data connectors
Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker
Contributions to open source AI or data projects
#LI-HYBRID #LI-AM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Pay Range
$183,711
—
$229,638.75 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Oakland, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust.
Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh.
This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane.
Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that:
Builds Infrastructure Agents Can Trust
— join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start.
Embraces Open Standards
— help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute.
Scales Without Breaking
— work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled.
We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript.
This is a full-time hybrid position based out of our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes
What You’ll Do
Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others
Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features
Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another
Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI
Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse
Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale
Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most
Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human
Take high-level direction from product and leadership and independently define and execute the concrete plan to get there
Mentor other engineers and raise the technical bar across the Fivetran AI team
Contribute to hiring by participating in and helping shape the interview process
Skills We’re Looking For
8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work
Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams
Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems
Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype
Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it
Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar)
Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand
Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements
Experience using coding agents or similar AI tooling to speed up day-to-day engineering work
Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team
Thrives in a startup-like environment with shifting priorities and a high degree of ownership
Bonus Skills
Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks
Familiarity with semantic layers — dbt, LookML, Sigma, or similar
Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations
Background in site reliability engineering — monitoring, alerting, incident response
Experience in data processing (ETL, ELT) and/or building data connectors
Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker
Contributions to open source AI or data projects
#LI-HYBRID #LI-AM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$196,033
—
$245,041.50 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: London
Workplace: Hybrid
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Why This Role?
We're seeking an experienced Program Manager to join Cohere's customer-facing Program Management team, with a focus on UK public sector and defence accounts. This is a highly specialised role requiring an individual who understands technical program delivery, the technical complexity of frontier AI models and the unique requirements of government and defence organisations.
You will be the critical bridge between our cutting-edge AI capabilities and the specific needs of UK Government and defence organisations. You'll navigate complex procurement processes, stringent security requirements, data sovereignty concerns, and regulatory compliance while ensuring our customers successfully deploy and scale our AI solutions.
In this role, you'll collaborate with our Strategic Customer team, Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform, Product, and Go-to-Market teams, serving as the technical program lead and trusted advisor for our most sensitive and high-impact government engagements.
Location: UK
Security Clearance: Active Top Secret clearance preferred; candidates with Active Secret clearance or those who are eligible and willing to obtain clearance will also be considered.
What You'll Do
Customer Program Leadership:
- Own end-to-end technical program delivery for UK public sector and defence customers, from initial deployment through production scaling
- Serve as the primary technical program point of contact for government customers, building trusted relationships with departmental CIOs, IT directors, and technical teams
- Translate complex government requirements (security, compliance, accessibility, bilingualism, data sovereignty) into actionable engineering plans
- Navigate government procurement processes, RFP responses, and contractual technical obligations.
Strategic Communication:
- Provide clear, timely, and objective communication across Cohere's engineering organisation, customer stakeholders, and government leadership
- Translate between AI/ML technical concepts and government-appropriate language for decision-makers who may not have deep technical backgrounds
- Present technical roadmaps and status updates to senior government officials and departmental executives
- Represent Cohere's technical capabilities in sensitive government and defence contexts.
Complex Program Management:
- Create and manage project schedules that account for government timelines, security review processes, and ministerial approval cycles
- Identify and manage dependencies across government departments, security authorities, cloud service providers, and internal Cohere teams
- Navigate risks unique to government deployments: privacy compliance, security authorisations, technical and infrastructure constraints
- Drive alignment between product development priorities and specific government requirements.
Technical Delivery & Execution:
- Ensure on-time delivery of AI solutions that meet government-grade security, privacy, accessibility, and performance standards
- Coordinate technical work across multiple teams: model customisation, security hardening, integration with government systems, bilingual support
- Establish governance checkpoints appropriate for high-stakes government deployments
- Problem-solve complex technical challenges in air-gapped, on-premises, or highly regulated environments.
You May Be a Good Fit If:
Required Experience:
- 6+ years of experience as a customer-facing Technical or Engineering Program Manager in AI/ML consulting, technology transformation, or enterprise software delivery.
- Excellent executive communication and stakeholder management.
- Experience working with government, defence, or heavily regulated customers (public sector, defence contractors).
- Proven track record managing complex, multi-stakeholder technical programs with stringent compliance requirements.
- Bachelor’s degree in a relevant field; advanced degree or technical certs a plus.
Technical Background:
- Strong understanding of enterprise software deployment architectures (cloud, on-premises, hybrid, air-gapped)
- Working knowledge of or experience with modern AI: LLMs, agentic systems, MCP, RAG, fine-tuning, evals, and responsible AI would be a strong differentiator
- Comfortable discussing API integrations, model inference, data pipelines, and ML operations with technical stakeholders.
Government & Defence Acumen:
- Deep understanding of how government organisations procure, evaluate, and deploy technology
- Familiarity with UK government requirements: data sovereignty, privacy laws (Privacy Act), accessibility standards, official languages obligations, security classifications
- Understanding of defence and national security considerations in AI deployment
- Experience with Algorithmic Impact Assessments or AI ethics frameworks is a strong asset
- Eligible to obtain UK government security clearance (Top Secret preferred)
Nice to Have:
- Active UK government security clearance (Secret or Top Secret) - preference for active Top Secret clearance
- Background in or strong familiarity with UK defence, intelligence, or critical infrastructure sectors
- Experience with GC Cloud services (Azure, AWS GovCloud) or Protected B/C environments
- Project management certification (PMP, PgMP) or government-specific methodologies.
Security Clearance Requirements
This role requires eligibility for UK government security clearance.
Preference will be given to candidates who currently hold an active UK government Top Secret (TS) clearance, as this will enable immediate engagement with our most sensitive defence and national security customers.
However, we will also consider exceptional candidates who:
- Currently hold UK government Secret clearance and are eligible for TS upgrade
- Do not currently hold clearance, but are eligible and willing to undergo the Top Secret clearance process
- Have a previous government security clearance that has lapsed
Please note that obtaining Top Secret clearance can take 12-18 months. Candidates without active clearance will work on non-classified public sector accounts while the clearance process is underway.
What Makes This Role Unique
This isn't typical program management—it's a highly specialised role at the intersection of frontier AI, national security, and public sector digital transformation. You'll work on some of the UK’s most sensitive and impactful AI deployments, helping government organisations harness cutting-edge technology while maintaining the highest standards of security, ethics, and accountability.
If you're passionate about responsible AI adoption, understand the unique constraints and opportunities within government, and want to have an outsized impact on how the UK leverages AI to serve its citizens, this role is for you.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Sliema, Malta
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. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
The Workplace IT Specialist ensures a reliable, secure, and high-quality workplace technology experience for employees across our EEA-region offices. Based in our Malta office, this role is the primary owner of local office IT and workplace facilities, and the first-line point of contact for EEA-region user support. The role also provides remote backup and support for other EEA offices as needed, and works as part of our Global IT team.
Second-line support for SaaS platforms and network infrastructure is handled by the broader Global IT team; this role focuses on delivering first-line support and knowing when to escalate. The ideal candidate is customer-focused, technically curious, works well independently, and looks for ways to improve day-to-day IT operations through automation and process improvements.
What You’ll Be Doing
Deliver responsive technical support for hardware, software, operating systems, business applications, and workplace technology, ensuring timely resolution of employee issues for the Malta office and EEA-region users.
Provide first-line, user-facing support for our collaboration, productivity, and business applications, helping employees resolve day-to-day usage questions.
Manage the local endpoint lifecycle — device provisioning, deployment, maintenance, troubleshooting, asset inventory, and secure device retirement — in line with Global IT standards and security policies.
Partner with HR and hiring managers to deliver smooth onboarding and offboarding: device preparation, account provisioning, access requests, and introducing new employees to IT systems, security practices, and workplace technology.
Serve as the primary point of contact for the local office's workplace technology, including conference room AV systems, video conferencing, VOIP, printers, CCTV, access control systems, and other office infrastructure.
Troubleshoot first-line endpoint, networking, Wi-Fi, VPN, identity, and access issues, escalating to and collaborating with the Global IT Operations team on anything beyond first-line.
Support Global IT initiatives, office moves, technology refreshes, and security projects as they affect the local office and the EEA region.
Create and maintain knowledge base articles, standard operating procedures (SOPs), and technical documentation, using AI-powered tools and automation to improve documentation quality and reduce repetitive work.
Own the local end-user support experience: manage support requests, maintain SLA adherence, spot recurring issues, and suggest improvements to IT service delivery.
What We Look For In You
2+ years of experience in IT Support, Desktop Support, IT Operations, or a similar enterprise technical support environment.
Bachelor's degree in Information Technology, Computer Science, Engineering, Cybersecurity, or a related field — or equivalent practical experience.
Strong experience supporting macOS in an enterprise environment.
Experience supporting enterprise productivity platforms such as Google Workspace and Lark Suite, with a working understanding of SSO authentication fundamentals, endpoint security, password management, and drive encryption.
Strong troubleshooting and problem-solving skills across hardware, software, operating systems, networking basics, and endpoint technologies.
Fluent, professional English, with the ability to communicate clearly with employees at all levels of the organization, including executive leadership. (Hard requirement.)
Excellent customer service and interpersonal skills.
Ability to prioritize multiple tasks, adapt to changing priorities, and work effectively in a fast-paced environment.
Ability to work independently as the sole on-site IT presence in Malta, with sound judgment on when to escalate to the broader Global IT team.
Comfortable using AI tools to improve productivity, automate repetitive tasks, and produce high-quality documentation.
Nice to Haves
Experience supporting enterprise environments with global or multi-office operations.
Working knowledge of Linux operating systems.
Networking fundamentals, including LAN, WAN, Wi-Fi, VPN, DNS, DHCP, TCP/IP, and basic network troubleshooting.
Experience with scripting or automation using Bash, PowerShell, Python, or similar technologies.
Exposure to endpoint management, identity and access management (IAM), mobile device management (MDM), or SaaS platforms at a support level.
Experience with IT asset lifecycle, inventory, procurement, and vendor coordination.
A track record of identifying process improvement opportunities and implementing automation that enhances IT operations and employee experience.
Experience using enterprise AI platforms such as ChatGPT Enterprise, Microsoft 365 Copilot, Google Gemini, Claude Enterprise, or similar AI-enabled workplace tools.
Professional proficiency in Mandarin is a plus.
Industry certifications such as Jamf 200/300, Apple Device Support, Apple Certified Support Professional (ACSP), Google Workspace Administrator, ITIL Foundation, CompTIA A+, Network+, or Security+ are a plus.
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
More that we love to tell you along the process!
#LI-ONSITE
#LI-ED1
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: United States Remote; United Kingdom Remote
Workplace: Remote
ABOUT THE TEAM
The AI Foundations Team at Mural is pioneering how generative AI transforms visual collaboration and decision-making. We’re a remote-first group of engineers, designers, and product thinkers focused on helping teams work together more effectively. Our goal isn’t to replace human creativity. It’s to amplify it, building AI that enhances how people align, communicate, and make decisions visually.
YOUR MISSION
You will design and build the core AI systems and platforms that enable Mural’s next wave of agentic, AI-driven collaboration experiences.
Rather than building isolated AI features, you’ll work on the core backend systems that power Mural’s agent platform, including agent orchestration, durable execution, contextual memory, tool integration, observability, and evaluation. Your work will enable intelligent agents to reason over product context, act on behalf of users, and operate reliably and safely at scale. Our stack at Mural includes Azure OpenAI, React, Node, MongoDB.
WHAT YOU'LL DO
- Build the core backend systems that power Mural’s agent platform, including orchestration, durable execution, tool execution, memory, observability, and evaluation infrastructure
- Design scalable services and APIs that allow AI agents to retrieve context, coordinate multi-step workflows, interact with Mural data, and act reliably on behalf of users
- Develop the agent memory layer, including systems for conversation context, product context, retrieval, summarization, compaction, and long-term context management
- Create infrastructure to monitor, debug, and improve agent behavior through traces, metrics, feedback loops, and offline evaluation
- Translate complex, open-ended product needs into clear backend architectures, service boundaries, data models, and implementation plans that align technical capabilities with user value
- Help define the technical direction for agentic AI at Mural, contributing to long-term architecture and strategy
- Champion engineering excellence, mentoring others and establishing best practices for building reliable AI systems
- Contribute to team growth through hiring, process improvements, and fostering a culture of curiosity, collaboration, and inclusivity
WHAT YOU'LL BRING
- 7+ years of software engineering experience, with strong expertise designing, building, and operating reliable production systems, scalable services and APIs, and well-defined system architectures
- Experience designing and operating distributed systems for complex workflows, including orchestration, asynchronous processing, job execution, retries, event-driven architectures, long-running processes, and failure recovery
- Familiarity with AI, LLM, or agentic systems, including concepts such as tool use, context retrieval, evaluation, or model orchestration
- Strong focus on production quality, including observability, reliability, testing, security, maintainability, and incident response
- Strong communication skills, with the ability to produce clear technical documentation and collaborate cross-functionally
- Experience working full stack or collaborating closely on product-facing frontend experiences
- Deeper AI/ML experience, especially with LLM evaluation, experimentation, embeddings, retrieval systems
- Experience with knowledge graphs, graph-based data modeling, entity resolution, or relationship-aware retrieval systems
OUR STACK
Azure OpenAI, React, Node, MongoDB
EQUAL OPPORTUNITY
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Location: Americas; EMEA
Workplace: Remote
RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile.
We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue.
We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance.
This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading.
The role:
We're looking for an Engineering Manager to lead engineering for RC Capital - a zero-to-one team on the ground floor of a brand-new business line. You'll help design, build, ship, and support the infrastructure behind Early Payouts and whatever we build next: underwriting and risk monitoring, money movement and reconciliation, partner bank integrations, and fraud detection.
This role blends the technical depth of our core Engineering Manager bar with direct exposure to financial products — factoring, underwriting, risk, banking integrations — so a background in fintech, financial services, or a related regulated/risk-sensitive domain is essential.
Please note: although we're fully remote, this team is based across US and European time zones, so there's some expectation of overlap in working hours.
ABOUT YOU:
- You have 6+ years of experience as a software engineer.
- You have 3+ years of experience managing software engineering teams.
- You have experience working cross functionally to build prioritized roadmaps for your teams.
- You can balance shipping new features, managing tech debt and investing in system improvements.
- You are hands-on and perform code reviews and bug investigation when needed.
- You are comfortable writing SQL queries to analyze data and find inconsistencies.
- You work with your team to ensure that they are consistently producing value and quality software through shorter iterative development cycles.
- You work with your team to improve the quality of our products, ensuring that they meet product requirements, customer needs, and SLAs.
- You provide technical leadership to the team and can work with engineers to help guide them into important technical decisions.
- You have experience working with engineers at different levels and have coached them in their career development.
- You are customer obsessed, prioritizing their outcomes and experiences
RESPONSIBILITIES:
- Build and lead a highly engaged distributed team by hiring, supporting, coaching the team to deliver consistently and continuously seek ways to make an impact.
- Work cross functionally primarily with product, design and support teams to set direction for the team, anticipate strategic and scaling related challenges through thoughtful long term planning
- Work with your team on the iterative execution of the roadmap and build efficient & transparent processes for consistent and predictable delivery.
- Coach and mentor engineers on the team to further their professional development.
- Work with other engineering managers to continuously improve our organization & create a strong sense of ownership, belonging and inclusivity.
IN THE FIRST MONTH, YOU'LL:
- Get up to speed on our current technical projects
- Meet every contributor on your team and understand what their areas of expertise are
- Meet EMs and PMs from other teams to understand what those teams are doing.
- Work with your team and understand how we do iterative development and the team processes
- Collaborate with your design and product peers to understand current team priorities.
- Schedule 1:1’s with your team to get to know them better
WITHIN THE FIRST 3 MONTHS, YOU'LL:
- Have shipped your first big feature and learned about what worked (and what didn't)
- Collaborate with the product and design team and deliver quarterly planning
- Understand how RevenueCat is used by customers and the areas of focus for your team to help build a better customer experience.
- Work with your team to define milestones and deliverables and ensure that the team is shipping iteratively.
- Understand the short and long term goals of your team, and help them with their career planning and progression
- Work with the recruiting team and your peers to hire for the company.
WITHIN THE FIRST 6 MONTHS, YOU'LL:
- Have established and refined processes to enable shipping fast and reliably
- Understand the team dynamics and be able to predict team capacity around project execution and are now planning ahead for the team
- Champion technical improvements and debt reduction alongside feature development
- Be part of technical discussions and guide the team to come to an optimal solution
WITHIN THE FIRST 12 MONTHS, YOU'LL:
- Have built domain knowledge and can easily debug, route and prioritize any incoming triage issues
- Have established clear communication guidelines within the team to enable open and honest communication
- Have helped bring in the right talent to RevenueCat through interviews, sourcing and screening for candidates who are aligned with our company values
- Have built trust with the team through relationship building, mentoring and coaching and providing them opportunities and timely feedback to help them grow
- Have a thorough understanding of how our product works and are able to communicate and guide the team in planning and prioritizing work and finding opportunities
WHAT WE OFFER:
- Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator
- 10-year window to exercise vested equity options
- A fully remote environment designed around autonomy and flexibility
- 4-5 weeks of flexible time off annually
- Paid desk at a co-working space
- Workspace budget and continuous learning stipend
INTERVIEWING AT REVENUECAT
Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/, including tips to help you succeed.
MORE ON HOW WE WORK:
- How we think about hiring and team design: Building a Winning Team https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21
- The values that guide how we work: Our Values https://www.revenuecat.com/blog/values/
- How we work as a remote team: How We Work Remotely at RevenueCat https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/
- What to expect from our interview process: Interview Expectations https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21
- What to expect from comp and employment: Employment FAQ https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21
Location: APAC; Americas (EST only); EMEA
Workplace: Remote
RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile.
We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue.
We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance.
This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading.
THE ROLE:
We are looking for a Senior, proactive Software Engineer to join our Devops/Devex engineering team and help building and scaling the internal development platform. You would be building the tools, services and automations that empower the rest of our engineering team to ship safely and fast.
RevenueCat invests heavily in tooling. We already have custom services for CI/CD, automated one-push-per-commit releases with automatic canaries, Feature Flags, DB query approval workflows, VPN access workflows. We are using Pulumi and python for IaC to describe k8s services and associated infrastructure in a single place. We want to provide autonomy, build a self-serve culture that allows teams to move fast but ensures safety and best practices.
The advent of IA and agentic development is going to change a lot of things, and you will help shape this future fostering adoption while ensuring our security and architectural standards remain sane.
Your job is to take all this to the next level.
ABOUT YOU:
- You are a Builder: You don't just use tools; you build them. You have 5+ years of experience in SRE, DevOps, DevEx or Platform Engineering with a heavy emphasis on software development.
- You are Proactive: You see what is needed, you take action and own problems to turn them into solutions.
- You love building frameworks, abstractions and automation: You see that the best way to ensure best practices are follow is to make something so easy and joyfull to use that nobody wants to use anything else.
- You are AI-Curious: You understand how LLMs and AI coding tools are changing engineering and want to help a world-class team leverage them effectively.
- You move fast, test and iterate quickly.
PREFERRED EXPERIENCE:
- Experience with AWS cloud, k8s, docker, IaC, github.
- Solid knowledge of Python
IN THE FIRST MONTH, YOU'LL:
- Meet your team!
- Get up to speed on our unique infrastructure-as-code patterns.
- Familiarize yourself with our existing internal tools for releases, canaries, and access control.
- Ship your first project—improving an existing tool or automation.
WITHIN THE FIRST 3 MONTHS, YOU'LL:
- Be able to scope and work on tasks self-sufficiently.
- Understand most of our internals tools and feel confident making changes to them.
- Start oncall training.
- Participate in code reviews, design reviews, brainstorms.
WITHIN THE FIRST 6 MONTHS, YOU'LL:
- Design and ship major initiatives and have a positive impact in the engineering team.
- Collaborate closely with other engineers, creating ties, understanding their painpoints and starting to become more involve in the roadmap and prioritization of new initiatives.
WITHIN THE FIRST 12 MONTHS, YOU'LL:
- Be the go-to expert for our internal platforms, services and infrastructure abstractions.
- Have your own initiatives for improving DevOps and DevEx
- Lead AI tool adoption across the engineering org, following well-stablished patterns for safety and simplicity.
WHAT WE OFFER:
- Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator
- 10-year window to exercise vested equity options
- A fully remote environment designed around autonomy and flexibility
- 4-5 weeks of flexible time off annually
- Paid desk at a co-working space
- Workspace budget and continuous learning stipend
INTERVIEWING AT REVENUECAT
Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/, including tips to help you succeed.
MORE ON HOW WE WORK:
- How we think about hiring and team design: Building a Winning Team https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21
- The values that guide how we work: Our Values https://www.revenuecat.com/blog/values/
- How we work as a remote team: How We Work Remotely at RevenueCat https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/
- What to expect from our interview process: Interview Expectations https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21
- What to expect from comp and employment: Employment FAQ https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21
Location: USA
Workplace: Remote
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
We are looking for an experienced Cloud Engineer with strong hands-on expertise designing and implementing AWS cloud solutions. In this role, you will work directly with an enterprise payments platform client to architect scalable, secure, and resilient cloud environments, with a near-term focus on modernizing infrastructure as code by migrating Ruby-based CloudFormation to TypeScript.
You will support the client across their full cloud journey, from discovery and assessment through implementation, optimization, and knowledge transfer. This role blends deep AWS technical capability with strong software engineering fundamentals, communication, and delivery skills.
WHAT YOU WILL DO
Infrastructure as Code Modernization
- Lead migration of existing CloudFormation IaC to TypeScript (AWS CDK).
- Establish IaC patterns, module structure, testing strategy, and code review standards for the new toolchain.
- Build CI/CD pipelines (GitHub Actions) for automated validation, plan/diff review, and safe deployment of infrastructure changes.
Architecture and Solution Design
- Design and implement scalable, secure AWS architectures based on client requirements.
- Assess current-state environments and propose effective migration and modernization strategies.
- Build patterns and frameworks to support repeatable, high-quality delivery.
Project Delivery and Technical Leadership
- Lead implementation of AWS services including compute, networking, storage, IAM, databases, and serverless.
- Troubleshoot issues during delivery and guide teams in operational best practices.
- Ensure performance, reliability, and security across deployed solutions, including multi-region and disaster recovery considerations.
Resilience Testing and Gamedays
- Plan and facilitate gameday exercises to validate failover behavior, runbooks, and team readiness.
- Design and execute fault injection experiments using AWS Fault Injection Service (FIS) to verify recovery objectives under realistic failure conditions.
- Capture findings, drive remediation of gaps uncovered during testing, and iterate on experiment coverage over time.
Client Engagement and Advisory
- Collaborate with stakeholders to gather requirements and validate solution designs.
- Act as a trusted advisor on cloud strategy and modernization options.
- Translate complex technical concepts into clear, actionable guidance for both technical and non-technical audiences.
Knowledge Sharing and Internal Contribution
- Mentor team members and contribute to internal learning initiatives.
- Develop documentation, reusable assets, templates, and best practices for future projects.
- Promote continuous improvement within Solvd's Cloud Engineering practice.
BASIC QUALIFICATIONS
- 5 or more years of experience in cloud architecture and implementation
- Strong TypeScript proficiency, including typing, project structure, and testing (Jest or similar)
- Hands-on experience with infrastructure as code at scale (CloudFormation, CDK, or Terraform).
- Bachelor's degree in Computer Science, Engineering, or equivalent experience.
PREFERRED QUALIFICATIONS
- Experience migrating or refactoring legacy IaC (especially CloudFormation, to CDK or Terraform.
- Advanced TypeScript experience, such as authoring reusable CDK constructs, publishing internal packages, or maintaining shared TypeScript libraries.
- Hands-on experience across AWS services such as EC2, S3, RDS/Aurora, Lambda, IAM, VPC, and CloudFormation.
- Experience with CI/CD for infrastructure, particularly GitHub Actions.
- Familiarity with multi-region architectures, failover mechanics, and RPO/RTO tradeoffs.
- Experience with chaos engineering or resilience testing, ideally using AWS FIS, and running gameday or DR drill exercises.
- AWS professional certifications such as Solutions Architect Professional or DevOps Engineer Professional.
- Understanding of security and compliance requirements in regulated environments, including PCI-DSS.
- Strong communication skills with the ability to effectively engage both business and technical stakeholders.
When you join Solvd, you'll…
- Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
- Be part of a global team with equal opportunities for collaboration across continents and cultures.
- Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
Solvd is an equal opportunity employer.
Location: Hybrid - London, Berlin
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
We are looking for a Senior Technical Account Manager (TAM) to own the post-sales technical relationship for a portfolio of our largest enterprise customers, taking it over from the Solutions Architect (SA) at deal close. Your focus is continuity: customers renew the annual TAM engagement because their technical outcomes improve each year. This role requires travel to customer offices 4 to 8 times a year.
What you'll do
Own the post-sales technical relationship and the annual TAM renewal for a portfolio of enterprise accounts, running a weekly check-in, monthly review, quarterly business review (QBR), and annual roadmap workshop for each
Lead incident follow-through when an escalation or a pattern of incidents emerges: run the post-mortem, find the architectural root cause, own the remediation roadmap, and respond to priority 1 and 2 escalations within 4 business hours
Deliver proactive architectural reviews, technical risk mapping, cost and usage optimization, and pre-launch readiness assessments
Scope hands-on engineering work for Forward Deployed Engineers (FDEs) and audits for Professional Services, and track their outcomes into the customer's technical roadmap, without shipping production code yourself
Relay customer technical needs to Product, Engineering, and Support, and hold those teams to the commitments you have made to your customers
What you need
5+ years in customer-facing technical roles at a platform, infrastructure, or developer tools company, such as technical account management, solutions architecture, developer success engineering, or support engineering
Owned customer relationships at the $1M+ annual contract value (ACV) tier, including QBRs, roadmap workshops, and renewals
Architected, debugged, and optimized production systems on Next.js and Vercel, including App Router, incremental static regeneration (ISR) and caching, Fluid Compute, and the AI SDK
Led technical outcomes across Engineering, Product, and Support without formal authority, and written the incident summaries, post-mortems, and executive readouts that came out of them
Bonus if you
Carried a TAM portfolio at a hyperscaler, infrastructure platform, or developer tools company, such as AWS, Cloudflare, Datadog, or GitHub
Built AI agents with the Vercel AI SDK or Model Context Protocol (MCP) servers
Led cloud financial operations (FinOps) or cost-optimization engagements, or ran an annual roadmap workshop or Well-Architected Review for an enterprise customer
Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: US
Coherent Solutions
builds custom software for enterprises and high-growth companies. Founded in 1995, we have 1,700+ people across 10 countries, serving clients in fitness & wellness, healthcare, fintech, manufacturing, and technology.
Our model combines local client leadership with global engineering teams across Europe and Latin America. We are investing heavily in AI and modern software delivery via initiatives like
Coherent Catalyst
, and we expect our client-facing teams to lead those conversations with customers.
About the Role
This is a pure hunter role.
You carry a quota, and your primary responsibility is winning new enterprise clients through your own prospecting, BDR introductions, inbound leads, partner referrals, and your professional network. Once a new account is closed, you will work closely with our delivery management teams to grow it into a long-term, strategic relationship.
You will engage with buyers ranging from directors to C-suite executives and navigating complex, multi-disciplinary decision processes. The services market is changing rapidly; AI is reshaping how software gets built, delivered, and priced. The expectation for this role is to understand these shifts and discuss them confidently with executive buyers. You don’t need to be an AI engineer, but you must understand where the market is heading and connect those changes to how it impacts a client’s growth, efficiency, risk, and bottom line.
What You'll Do
Own the full sales cycle: Prospect, qualify, shape the solution with delivery, negotiate, and close net-new business;
Win new logos and establish the foundation to expand the strategic accounts you win;
Lead commercial strategy for SOWs, master services agreements (MSAs), pricing, and contracts;
Run RFI/RFP responses and tailored proposals in tight collaboration with engineering and delivery teams;
Build and manage a healthy pipeline with highly accurate forecasting in Salesforce;
Partner with marketing on targeted Account-Based Marketing (ABM) campaigns and regional events;
Represent Coherent at major industry events and face-to-face client meetings;
What
We’re
Looking For
6+ years of selling custom software engineering, digital product services, or IT consulting;
A proven track record of hunting and winning new enterprise clients with multi-year, multi-discipline services engagements;
Comfort selling to C-suite and VP buyers, with the ability to confidently articulate how modern AI-driven development models accelerate time-to-market;
Deep working knowledge of the SDLC, global distributed delivery models, and agile consulting;
Experience working with distributed global delivery teams (specifically leveraging talent pools in Europe and Latin America);
Stability matters to us. Enterprise services relationships take years to build, and we want the same commitment from our people. A history of multi-year tenures will carry significantly more weight than a long list of short-term logos;
Minnesota preferred; WI, IL, or East Coast considered;
What Do We Offer
Base salary from $130K to $165K plus uncapped commission and performance bonuses
;
Performance-based equity awards;
Comprehensive health, dental, and vision insurance;
401(k) matching and generous PTO policy;
Travel: Approximately 20-30% for strategic client meetings, industry conferences, and internal executive planning.
УдалённоRemote: United States
УдалённоRemote: United States
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Настройте подбор, и подходящие вакансии будут приходить в Telegram.