Location: United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role:
Nebius is building the AI infrastructure that financial institutions will run AI on in production, from quantitative research and real-time risk to agentic workflows in banks and insurers.
The Field CTO for Financial Services is a senior technical leadership role at the intersection of production GPU infrastructure and the regulated business of financial services. You will lead the technical side of the vertical: the architecture conversation with CTOs and heads of research infrastructure, the technical content of regulated-buyer diligence, the reference architectures for financial workloads, and the product requirements that come out of the field.
Financial institutions buy AI infrastructure differently from most customers. Quantitative funds and AI-native fintechs buy GPU capacity directly and judge it on price-performance, availability, and how the cluster behaves under their own workloads. Banks and insurers add a second review: security, third-party risk, data residency, and exit planning are assessed before a deal reaches architecture discussions. You will earn the trust of both kinds of buyer and help make Nebius an approved supplier to financial institutions.
You will work alongside the Head of Financial Services, Sales, Security and GRC, Product, and Engineering. The role begins as a hands-on individual contributor, with a clear path to building and leading forward deployed engineers as the vertical scales.
This is a ground-floor opportunity to define how financial institutions run AI in production on a specialized AI cloud.
You are welcome to work remotely from the United States (New York City preferred). Travel expectations are 10% to 20% for customer visits, executive meetings, and key industry events.
Your responsibilities will include:
Executive Technical Leadership:
Serve as the technical face of Nebius to financial services customers, partners, and ecosystem stakeholders. Lead architecture workshops and technical discovery with CTOs, heads of quant and ML platforms, and CIOs, showing technical buyers how Nebius performs on their own workloads and institutions how the architecture fits their control framework.
Lighthouse Deal Support:
Partner with Sales leadership on strategic financial services deals, including workload-level cost comparisons against on-premises and hyperscaler options.
Regulated-Buyer Diligence:
Work with Security, GRC, and Legal to turn our SOC 2 Type II and ISO 27001 certifications, and our alignment with frameworks such as DORA, into answers that third-party risk teams accept. Cover data residency, tenant isolation, key management, audit logging, resilience evidence, concentration risk, and exit and portability plans. Flag gaps early and bring them to Product as requirements.
Architectural Guidance:
Define reference architectures for financial workloads: quantitative research and backtesting, real-time risk and fraud inference, LLM and agentic workflows in KYC, AML, and document processing, and fine-tuning on sensitive proprietary data.
Technical Product Strategy:
Translate what you learn in accounts into prioritized, evidence-backed requirements for Product, Engineering, and Infrastructure teams, and keep a structured feedback loop so R&D can act on them.
Field Enablement:
Act as a force multiplier for the sales organization by creating the technical narrative, reference architectures, and training materials that help Field SAs and sellers engage financial services buyers credibly.
Ecosystem & M&A:
Partner with ecosystem vendors (market and reference data providers, model risk and AI governance tooling, trading and risk platforms, systems integrators) to identify integration opportunities and evaluate potential technical M&A targets.
Team Building:
Build and lead forward deployed engineers as the vertical grows, setting how they scope, deliver, and hand learnings back to Product.
We expect you to have:
10+ years of experience in cloud infrastructure, platform engineering, distributed systems, or a closely related technical domain, including 5+ years in AI, ML, or MLOps with exposure to production or large-scale systems.
Prior experience in a senior technical leadership role, for example Field CTO, CTO or technical co-founder of a fintech or AI-native company, head of quant or ML platform, or principal-level architect on a cloud vendor financial services team.
Dual Competency:
You can draw a distributed system on a whiteboard for engineers and explain its value and risk profile to a CIO or a Chief Risk Officer.
GTM Fluency:
Experience partnering with Sales to close large enterprise deals and enabling field teams with technical assets.
Product-Minded Leadership:
You have defined requirements from field evidence and shaped platform strategy. You are comfortable telling a customer no when a request would create technical debt, and proposing a better alternative.
Mastery of the Stack:
Expert-level, production-grade knowledge of GPU architectures, Kubernetes and Slurm orchestration including Soperator, high-performance and parallel file systems, and networking constraints (InfiniBand and Ethernet).
Inference Optimization:
You understand the nuances of model serving, including batch sizes, quantization, KV caching, and latency tradeoffs, and can architect for both massive throughput and latency-sensitive demands such as real-time risk and fraud scoring.
Financial Services Fluency:
First-hand experience in at least one of capital markets and quant research infrastructure, bank or insurer AI platforms, AI-native fintech, or an FSI technical role at a cloud or GPU provider, plus working knowledge of how regulated buyers review vendors: data residency, third-party and concentration risk, and model risk management expectations (for example SR 11-7 in the US).
Builder Mentality:
You arrive with your own point of view on where financial institutions are heading with AI infrastructure and pursue it without waiting to be directed. You are comfortable starting as a hands-on individual contributor and growing into a team.
Public Technical Voice:
Conference talks, writing, or open-source work that shows credibility with engineering and executive audiences.
Communication:
Strong executive presence, capable of influencing product teams and leadership through clarity and credibility.
Comfort in Ambiguity:
Experience operating in fast-moving environments (hyperscalers, cloud platforms, or advanced AI startups) where requirements are evolving.
Preferred Qualifications:
Hands-on experience with quantitative research infrastructure, low-latency trading systems, or model risk management in a regulated institution.
Familiarity with the hybrid and on-premises GPU environments financial institutions run.
Strategic Empathy:
The ability to distinguish customers who need raw cluster access from those who need managed endpoints, and the judgment to prescribe the right path.
Why Nebius:
Build Solutions:
You will shape how financial institutions run AI in production on a specialized AI cloud.
Scale:
Opportunity to help build the Financial Services vertical from the ground up.
Frontier Technology:
Work at the frontier of AI infrastructure, agentic workflows, and financial intelligence alongside leading customers and partners.
Strategic Impact:
Real influence over product direction, platform strategy, and ecosystem development.
Ownership:
Join a team that values technical depth, ownership, and speed of execution.
Mission:
Help define how intelligence moves from the data center into trading desks, risk engines, and the operations of banks and insurers.
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Key employee benefits in the US:
#LI-LG1
Health insurance:
100% company-paid medical, dental, and vision coverage for employees and families.
401(k) plan:
Up to 4% company match with immediate vesting.
Parental leave:
20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote work reimbursement:
Up to $85/month for mobile and internet.
Disability & life insurance
: Company-paid short-term, long-term and life insurance coverage.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$210,000
—
$260,000 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Bangalore, India
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Senior Product Manager for Data Integrations, you'll help GitLab's analytics and artificial intelligence (AI) agents see beyond the data held in GitLab. You'll decide which external systems connect to the Data Insights Platform and Orbit, which integrations come first, and how their data fits into shared models.
Engineering teams plan work, track incidents, monitor production, and manage security findings across different tools. Your challenge is to bring that context together with GitLab's code, merge requests, pipelines, deployments, and vulnerabilities. You'll shape a consistent approach that gives customers a trustworthy picture they can query, report on, and use with agents, rather than another set of disconnected data sources.
This role is based in Bangalore, India. You'll work from home and come to the Bangalore office when needed for business or team activities. You should be based in Bangalore or willing to relocate there.
What you'll do
Set integration priorities using evidence from customers, field teams, and other product managers to identify the biggest gaps in context.
Shape how external data maps into GitLab's shared data models, including the extract, transform, and load (ETL) approach and the transformations needed to make sources work together.
Define the customer problems and user groups each integration serves. Partner with engineering to agree on the intended experience, trade-offs, and delivery sequence.
Translate product decisions into a clear backlog of epics and issues for engineering.
Define telemetry and adoption signals to understand whether connected data helps customers answer new questions, and use those findings to guide priorities.
Help shape integration pricing and packaging as the product area matures.
Use AI coding agents and GitLab to explore data, prototype integrations, and document the intended experience.
What you'll bring
Product management experience, with the ability to connect customer needs to priorities and make trade-offs with incomplete information.
Strong knowledge of the software development and operations (DevOps) ecosystem, including how planning, security, observability, and IT service management tools fit into engineering workflows.
A working understanding of data integration, ETL, and data transformation, including how data from different systems maps to a common model. You don't need a background as a data engineer.
Comfort using AI tools for prototyping and documentation as part of your product work.
Clear communication about customer problems, close collaboration with engineering, and a habit of using data to evaluate adoption.
Experience with integration products, data models, or value stream analytics is helpful, but isn't required.
About the team
We're part of GitLab's Core Data Products organization, which focuses on insights, analytics, and data-driven decision-making. You'll report to the Vice President of Product Management and join as our third product manager, focused on Data Integrations. You'll work alongside a Principal Product Manager responsible for the Data Insights Platform and dashboards, and a Product Manager focused on Orbit.
GitLab is all-remote, with asynchronous collaboration across regions. Transparency, written communication, and clear decisions are central to how we work. This role has the Bangalore location and in-person requirements described above.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: New York; Dublin; London
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
ElevenLabs operates a complex and fast-evolving revenue model – enterprise contracts, self-serve API subscriptions, usage-based billing, and expanding international markets. As a Revenue Accountant, you will play a key role in ElevenLabs’ revenue accounting function.
You will own significant portions of the monthly revenue close, support the application of ASC 606 to customer arrangements, and help build scalable processes and controls as ElevenLabs grows toward IPO readiness.
You will work cross-functionally with Sales, Legal, Billing Operations, Engineering, and FP&A to support contract review, usage and billing completeness, new product launches, and accurate and timely revenue recognition. This is a hands-on, high-ownership role in a lean Finance team – the right person will independently run recurring workstreams, identify issues early, and help scale the revenue accounting operating model as the business grows.
WHAT YOU’LL DO
- Execute significant portions of the monthly revenue close, including journal entries, deferred and unbilled revenue schedules, reconciliations, and flux analysis
- Perform recurring usage / consumption completeness and billing-to-GL reconciliations; investigate exceptions and drive resolution with cross-functional partners
- Review customer contracts and apply established ASC 606 guidance to standard arrangements; escalate novel, high-judgment, or precedent-setting matters
- Support accounting for credits, refunds, contract modifications, cutoff, and variable consideration, with clear and audit-ready documentation
- Prepare revenue workpapers, audit support, and control evidence; support external audit, walkthroughs, and SOX readiness activities
- Support accounting readiness and UAT for new products, pricing structures, billing models, and partner / channel launches
- Improve and automate recurring revenue processes, reconciliations, documentation, and exception reporting as the business scales
REQUIREMENTS
- Deep expertise in ASC 606, including multi-element arrangements, SSP evaluation, variable consideration, contract modifications, and principal vs. agent analysis
- Experience leading the revenue close: deferred revenue management, unbilled receivables, journal entry review, and month-end flux analysis
- Track record of partnering with Sales and Legal on contract review and revenue impact assessments
- Experience operating in a pre-IPO or public company environment, with direct exposure to external audit, controls build-out, and revenue accounting documentation
- CPA, ACA, or ACCA qualification (active); Big 4 or public accounting background a strong plus
- Strong systems proficiency; Stripe, Metronome, HubiFi or a comparable revenue recognition tool preferred
BONUS:
- Experience with consumption/usage-based and subscription billing models
- Familiarity with ASC 326 (CECL) and AR accounting in a high-volume SaaS context
- Multi-entity or international revenue accounting background
LOCATION
This role is remote-first, so it can be executed from anywhere in Central Europe or Eastern US timezones. If you prefer, you can work from our offices in London, New York and Warsaw.
#LI-Remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: Canada
Partner One is a fast-growing investment group that acquires and operates industry leading software companies. Our mission is to build strong, sustainable organizations by empowering exceptional people and driving operational excellence across our portfolio. We maintain a decentralized model that allows each business unit to operate with agility while being supported by a global shared services infrastructure.
Description
We are seeking a Business Unit Controller to oversee the financial operations and performance of one or more software business units within the Partner One group. This role will serve as a strategic finance partner to business leadership and report directly to the CFO, playing a key role in ensuring accurate financial reporting, operational efficiency, and data-driven decision-making. The ideal candidate is hands-on, analytical, and results-oriented, with deep experience in accounting, financial planning, and operational finance within the software industry and complex, multi-entity environments. You will work closely with the CFO and senior leadership to drive financial performance, ensure operational excellence, and contribute to Partner One’s continued global growth and success.
Responsibilities
An Ideal candidate that can move comfortably between big picture ideas, and the tactics and action steps needed to flawlessly execute them.
Oversee all accounting and financial reporting activities for the assigned business unit(s), ensuring compliance with Partner One policies and relevant accounting standards (US GAAP).
Lead the monthly, quarterly, and annual closing processes, including revenue recognition, accruals, reconciliations, and preparation of financial statements.
Monitor performance of the business unit(s) against targets, providing detailed variance analyses and insights to drive informed business decisions.
Develop and maintain key financial and operational metrics, including ARR, churn, deferred revenue, and EBITDA.
Partner with business leaders and the CFO to embed a cost-conscious culture focused on accountability, transparency, and value-driven decision-making.
Strengthen internal controls, streamline accounting workflows, and ensure financial integrity across systems and processes.
Collaborate with centralized finance teams (payroll, tax, treasury, AP/AR) to support efficient end-to-end operations.
Contribute to M&A integration efforts, including purchase accounting, opening balance sheets, and system transitions.
Manage audits, statutory filings, and compliance with local and international financial regulations.
Prioritize mentorship, team building, and coaching to local finance and accounting personnel
Requirements
Bachelor’s degree in Accounting, Finance, or related field (CPA or equivalent professional designation preferred).
10+ years of progressive experience in accounting or financial management, with at least 3 years in the software industry or a complex, multi-entity corporate environment.
Strong understanding of SaaS financial metrics and revenue recognition principles.
Proven experience with financial reporting, consolidation, budgeting, and analysis.
Proficiency in accounting systems such as Sage Intacct or NetSuite, and strong Excel and financial modeling skills.
Excellent analytical, communication, and organizational skills.
Ability to thrive in a fast-paced, remote, and international work environment.
An ideal candidate must have demonstrated success in building teams and developing staff.
A candidate who is obsessed with process improvement, automation, and finding efficiencies in on-going operations
--------------------------------------------------------------------------------
À propos de Partner One
Partner One est un groupe d’investissement en pleine croissance qui acquiert et exploite des entreprises de logiciels parmi les plus réputées de leur secteur. Notre mission est de bâtir des organisations solides et durables en donnant aux personnes talentueuses les moyens de se dépasser et en favorisant l’excellence opérationnelle au sein de notre portefeuille d’entreprises.
Nous privilégions un modèle décentralisé qui permet à chaque unité d’affaires de fonctionner avec agilité, tout en bénéficiant du soutien d’une infrastructure mondiale de services partagés.
Description du poste
Nous sommes à la recherche d’un contrôleur ou d’une contrôleuse d’unité d’affaires pour superviser les activités financières et la performance d’une ou de plusieurs unités d’affaires du secteur des logiciels au sein du groupe Partner One.
La personne titulaire du poste agira à titre de partenaire stratégique en matière de finances auprès de la direction de l’unité d’affaires et relèvera directement du chef de la direction financière (CFO). Elle jouera un rôle clé pour assurer l’exactitude de l’information financière, l’efficacité opérationnelle et la prise de décisions fondées sur les données.
La personne idéale est une professionnelle ou un professionnel de la finance qui possède une approche pratique, un bon esprit d’analyse et une forte orientation vers les résultats. Elle possède une solide expérience en comptabilité, en planification financière et en gestion financière opérationnelle dans le secteur des logiciels et dans des environnements complexes comportant plusieurs entités.
En étroite collaboration avec le CFO et la haute direction, cette personne contribuera à améliorer la performance financière, à assurer l’excellence opérationnelle et à soutenir la croissance continue de Partner One à l’échelle mondiale.
Responsabilités
Être en mesure de passer aisément d’une vision stratégique globale aux mesures concrètes et aux actions nécessaires à sa mise en œuvre efficace.
Superviser l’ensemble des activités comptables et de production de rapports financiers des unités d’affaires assignées, en veillant au respect des politiques de Partner One et des normes comptables applicables, notamment les PCGR des États-Unis (US GAAP).
Diriger les processus de clôture financière mensuelle, trimestrielle et annuelle, notamment la comptabilisation des revenus, les charges à payer, les rapprochements de comptes et la préparation des états financiers.
Suivre la performance des unités d’affaires par rapport aux objectifs établis et fournir des analyses détaillées des écarts ainsi que des recommandations afin d'éclairer la prise de décisions.
Élaborer et maintenir des indicateurs clés de performance financière et opérationnelle, notamment le revenu annuel récurrent (ARR), le taux d’attrition de la clientèle (churn), les revenus reportés et le BAIIA (EBITDA).
Collaborer avec les responsables des unités d’affaires et le CFO afin de promouvoir une culture axée sur la maîtrise des coûts, la responsabilisation, la transparence et la création de valeur.
Renforcer les contrôles internes, optimiser les processus comptables et assurer l’intégrité de l’information financière dans l’ensemble des systèmes et des processus.
Collaborer avec les équipes centralisées des finances (paie, fiscalité, trésorerie, comptes fournisseurs et comptes clients) afin d’assurer l’efficacité des opérations financières de bout en bout.
Participer aux activités d’intégration liées aux acquisitions, notamment la comptabilité d’acquisition, l’établissement des bilans d’ouverture et les transitions de systèmes.
Superviser les audits, les déclarations réglementaires et le respect des exigences financières et réglementaires locales et internationales.
Accorder une grande importance au mentorat, au développement des équipes et à l’accompagnement du personnel local en comptabilité et en finances.
Exigences
Baccalauréat en comptabilité, en finance ou dans un domaine connexe. Le titre de CPA ou une désignation professionnelle équivalente est un atout.
Plus de 10 ans d’expérience progressive en comptabilité ou en gestion financière, dont au moins 3 ans dans le secteur des logiciels ou dans un environnement corporatif complexe comportant plusieurs entités.
Excellente compréhension des indicateurs financiers propres aux entreprises SaaS et des principes de comptabilisation des revenus.
Expérience démontrée en production de rapports financiers, en consolidation, en budgétisation et en analyse financière.
Maîtrise de systèmes comptables tels que Sage Intacct ou NetSuite, ainsi que d’Excel et de la modélisation financière.
Excellentes capacités d’analyse, de communication et d’organisation.
Capacité à s’épanouir dans un environnement de travail à distance, international et en constante évolution.
Expérience démontrée dans la création et le développement d’équipes ainsi que dans l’encadrement du personnel.
Forte volonté d’améliorer continuellement les processus, d’automatiser les opérations et de trouver des moyens d’accroître l’efficacité des activités courantes.
We’re looking for a Senior DataOps Engineer to help operate, scale, and improve the data platforms that support Oportun’s analytics, engineering, and business teams. This role will focus on Databricks, AWS, data pipelines, databases, observability, automation, and production support.
Location: New York, NY
Workplace: Hybrid
ABOUT THE COMPANY
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
OUR ETHOS
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
ABOUT THE ROLE
Rain is looking for a Business Development Lead to build and scale our presence in the rapidly emerging agentic commerce ecosystem.
You’ll drive new business by identifying high-value opportunities, developing strategic partnerships, and building a strong commercial pipeline. You’ll also help shape Rain’s commercial thesis at the intersection of stablecoins and AI, identifying where our infrastructure can unlock new use cases and where Rain has a right to win.
Working closely with Product and Engineering, you’ll translate market insights into commercial and product opportunities and position Rain as a critical infrastructure partner for the next generation of commerce.
This is a highly entrepreneurial role for someone who can see where the market is headed, move early, and turn emerging opportunities into meaningful growth for Rain.
WHAT YOU’LL DO
- Build Rain’s agentic commerce pipeline: Identify, source, and develop high-value commercial opportunities across AI-native companies, agent platforms, agentic commerce infrastructure providers, and emerging payment ecosystems.
- Develop our agentic commerce strategy: Define priority segments, use cases, target accounts, and partnership opportunities, with a particular focus on where stablecoin and payments infrastructure can unlock new capabilities for AI-powered commerce.
- Drive commercial execution: Develop compelling value propositions, manage a high-quality pipeline, and work cross-functionally to convert opportunities into long-term partnerships.
- Stay ahead of the market: Identify emerging trends, technologies, companies, and use cases across AI and payments early, and translate them into commercial opportunities and strategic priorities for Rain.
- Own strategic partnerships: Lead opportunities from initial outreach and discovery through solutioning, negotiation, deal execution, and handoff.
- Build the ecosystem: Establish relationships with founders, developers, and industry leaders shaping the future of AI-powered commerce and autonomous payments.
- Partner with Product and Engineering: Bring market intelligence and prospective partner feedback into product discussions, helping inform Rain’s roadmap and identify opportunities for new capabilities.
- Shape Rain’s market position: Develop our point of view on the role of stablecoins in agentic commerce and build Rain’s position as a leading infrastructure partner in the ecosystem.
WHAT WE’RE LOOKING FOR
- 6+ years of experience in business development, strategic partnerships, or a related commercial role, ideally within AI, fintech, payments, or emerging technology.
- Strong understanding of the AI ecosystem, particularly agentic commerce, AI agents, and the infrastructure enabling autonomous transactions.
- Demonstrated ability to source, develop, negotiate, and close strategic commercial partnerships.
- Entrepreneurial mindset with experience building new business opportunities end to end, entering emerging markets, or developing go-to-market strategies from the ground up.
- Strong commercial judgment and the ability to identify high-potential opportunities in rapidly evolving markets.
- Ability to form an independent point of view on emerging markets and translate it into commercial action.
- Ability to engage credibly with both technical and business stakeholders, translating complex technologies into clear commercial value propositions.
- Exceptional communication, relationship-building, and negotiation skills.
- High degree of ownership, intellectual curiosity, and bias toward action.
- Comfortable operating independently in a fast-paced environment with evolving priorities and limited established playbooks.
NICE TO HAVE
- Direct experience working at an AI-native company, agentic commerce platform, or AI infrastructure provider.
- Existing relationships within the AI developer, agentic commerce, or emerging payments ecosystem.
- Familiarity with AI agent frameworks, agent payment protocols, and emerging standards for autonomous transactions.
- Experience with payments infrastructure, card issuing, stablecoins, wallets, or blockchain-based financial services.
- Track record of building and scaling a new commercial vertical or ecosystem partnership strategy.
THINGS THAT ENABLE A FULFILLING, HEALTHY AND HAPPY EXPERIENCE AT RAIN:
Unlimited time off 🌴Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace, if you feel comfortable at home please work from home. If you’d like to work with others in an office feel free to come in. We want everyone to be able to work in the environment in which they are their most confident and productive selves. New Rainmakers will have a stipend to create a comfortable atmosphere at home.
Easy to access benefits 🧠For US Rainmakers, we offer comprehensive health, dental and vision plans for you and your dependents, as well as a 100% company subsidized life insurance plan.
Retirement goals💡Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 We offer every Rainmakers an equity option plan so we can all can benefit from our success.
Rain Cards 🌧️ We want Rainmakers to be knowledgeable about our core products and services. To support this mission, we issue a card for our team to utilize the card for testing.
Health and Wellness 📚 High performance begins from within. Rainmakers are welcome to use their card for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
Team summits ✨ Summits play an important role at Rain! Time spent together helps us get to know each other, strengthen our relationships, and build a common destiny. Expect team and company offsites both domestically and internationally.
Location: New York, NY (HQ); San Francisco, CA
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
Technical Consulting is Ramp's post-sales technical delivery team. When a finance org needs Ramp to work the way their business actually runs, this is the team that takes customers through that transformation, from complex accounting issues to integration errors to everything in between.
The Manager, Technical Consulting, Enterpriseleads the team responsible for Ramp's largest accounts. You'll own post-sales technical implementation for this segment end to end — from technical discovery and solution design through go-live, adoption, and expansion — working shoulder-to-shoulder with our Customer Activation team, with whom you'll co-own activation milestones and time-to-value.
Strategic customers arrive with multi-entity structures, legacy ERPs, in-flight finance transformations, procurement and treasury requirements, and executive sponsors who expect a named technical leader in the room. Your team is the last line of technical escalation for these accounts — there is no tier above you.
This role suits an experienced leader who can hold two things at once: the operating rigor to run a delivery function at scale, and the technical credibility to sit across from a Controller or VP of Finance and design the solution live.
WHAT YOU'LL DO
- Lead and grow the Enterprise Technical Consulting team — coach senior and principal-level consultants, own hiring, onboarding, performance, and career architecture, and build a bench deep enough to scale with the segment
- Own post-sales technical implementation for Ramp's largest accounts — accountable for solution quality, delivery timelines, and technical outcomes across the portfolio
- Co-own activation milestones with Customer Activation — build a joint operating model where TC drives technical design and Activation drives adoption and enablement, with shared accountability for time-to-value and a single, coherent customer experience
- Serve as the terminal escalation point for complex technical and delivery challenges — ERP integration failures, custom API work, at-risk go-lives, and commitments made pre-sales that need to be re-scoped
- Define the Strategic delivery model — scoping standards, solution design review, rules of engagement with CSM/Activation, staffing and capacity models, and quality bars that hold up under enterprise scrutiny
- Run the function with operational rigor — forecast capacity, balance workload across accounts, instrument the team with KPIs (time-to-value, go-live on-time rate, escalation volume, adoption and expansion attach), and use the data in coaching and planning
- Partner cross-functionally at the leadership level — Customer Activation, Strategic CSM and AM, Sales, Product, Engineering, and GTM Ops — to align on roadmap, feedback loops, and segment strategy
- Turn field insight into product influence — synthesize what Strategic customers actually need, champion it with Product and Engineering, and close the loop back to the field
- Set precedent where none exists — make sound calls in ambiguous, high-stakes situations, document the reasoning, and teach the team to do the same
WHAT YOU NEED
- 5+ years in technical consulting, solutions architecture, implementation, or professional services — with substantial time on enterprise or strategic accounts
- 2-3+ years managing individual contributors and owning team-level outcomes; experience managing senior or principal-level ICs strongly preferred
- Proven track record owning post-sales implementation for large, complex customers — multi-entity, multi-system, executive-sponsored engagements
- Deep fluency in ERP and financial systems (NetSuite, Sage Intacct, Oracle, Workday Financials, Microsoft Dynamics), APIs, SSO/HRIS integrations, and core accounting workflows (chart of accounts, subsidiaries, approval hierarchies, month-end close)
- Ability to assess and guide technical solution design at enterprise complexity — and to tell the difference between a configuration problem, a product gap, and a customer process problem
- Experience building the operating model between two functions — e.g. delivery and onboarding, or services and customer success — and making shared accountability actually work
- Executive-grade communication — able to hold the room with a CFO or Controller, advocate for your team internally, and translate technical trade-offs into business consequences
- Demonstrated judgment in ambiguity and a bias toward ownership in a fast-changing, high-growth environment
NICE TO HAVE
- Experience at an ERP or financial systems vendor (Workday, NetSuite/Oracle, Sage Intacct, Coupa) or in a Big 4 / systems integrator implementation practice
- Background in fintech, spend management, or AP automation
- Experience standing up or scaling a technical consulting / professional services function from an early stage
- Experience managing managers or team leads, or building the career ladder for a technical IC track
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers people to perform at a higher level through a deeper understanding of their bodies and daily lives. We handle massive amounts of data continuously streaming up to the cloud from people improving their health and wellness to the world’s greatest sports teams and athletes mandating a fault-tolerant and highly available product.
The Connectivity Software Team builds the critical link between WHOOP hardware, the iOS app, and the cloud. As an iOS Software Engineer on this team, you’ll design and implement the software that enables WHOOP’s wearable sensors to communicate seamlessly with the mobile platform. You’ll develop and optimize connectivity experiences that are robust, efficient, and invisible to the member — ensuring reliable data flow across our entire ecosystem.
RESPONSIBILITIES:
- Design, implement, and maintain iOS application components that interface directly with WHOOP hardware over Bluetooth Low Energy (BLE), Wi-Fi, or other communication protocols.
- Develop background and system-level iOS services that ensure reliable device connectivity, synchronization, and data transfer.
- Leverage Swift and Combine to build resilient, efficient, and maintainable reactive pipelines for connectivity and data management.
- Collaborate closely with embedded firmware, mobile, and cloud engineers to diagnose and resolve issues across a distributed system.
- Drive continuous improvement of performance, power efficiency, and reliability in the WHOOP connectivity layer.
- Champion strong software architectural principles for testable, scalable, maintainable software on your own team and across the organization.
- Document new features and architecture using Jira, Confluence and preparing code using Github feature, develop, and master branches
- Participate in the release process including getting the app built, managing build variants, signing, sending and testing through Firebase, and submitting to the App store
QUALIFICATIONS:
- BS or MS in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience.
- 3+ years of professional iOS software engineering experience with a solid foundation in Swift, iOS system APIs, concurrency, and memory management.
- Hands-on experience with Swift 6 Concurrency and background task processing for non-UI iOS features.
- Demonstrated examples applying architectural and platform-based software design principals to build scalable, modular, testable software.
- Experience debugging and diagnosing issues across complex or distributed systems (for example: firmware, mobile, backend) is a strong plus.
- Excellent collaboration and communication skills with a focus on cross-functional problem solving.
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $150,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: Ukraine; Serbia; Yerevan; Spain; Slovakia; Slovenia; Poland
Workplace: remote
Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.
Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.
Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements.
Where this role sits
You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize:
Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction.
Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered.
What You’ll Do:
Take the seat
Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles.
Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow.
Build
Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases
Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design.
Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer.
Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client.
Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from.
Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team.
Own the outcome.
Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number.
Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here.
Be credible with the customer’s engineers and their executives.
Shape what we commit to before we commit to it.
What You’ll Bring:
Mindset
Proactive and self-directed; identify problems before they're handed to you
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
B2+ English, comfortable collaborating across distributed, multicultural teams
Client Engagement
You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code
Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them
You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run
Technical depth
7+ years building and running production systems.
Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes
Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks
Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure
Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks.
Experience building and optimizing RAG systems in production
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.
Experience in making and defending architectural trade-off decisions
Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus
Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release
Model and agent monitoring, drift detection
Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs
Hands-on production experience with the Claude ecosystem — Claude Code, CLAUDE.md, hooks, skills files. Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus
MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus
Nice to have:
Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution
Experience in one of the industries: financial services, insurance, healthcare
Consulting, professional services, or other embedded customer-facing delivery
A2A: you can explain agent-to-agent interoperability
AWS and Claude Code Certifications
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Experience in an additional language (Go, TypeScript, or Rust)
Experience with Apache Spark, Apache Airflow, Kafkа
What We Offer:
The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment
A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance
Career growth; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
How we hire:
Intro conversation. The role, your background and aspirations, tech questions.
Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant
HR Interview. Soft skills and expectations
HM interview. Tech questions; a live engineering session is also possible
Location: North Macedonia; Montenegro; Moldova; Bulgaria; Czechia; Bosnia and Herzegovina; Croatia
Workplace: remote
Provectus is an
AWS Premier Partner
and an
Anthropic Strategic Partner
, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.
Our work centers on two verticals —
Financial Services & Insurance
and
Healthcare & Life Sciences
— where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.
Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements.
Where this role sits
You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize:
Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction.
Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered.
What You’ll Do:
Take the seat
Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles.
Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow.
Build
Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases
Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design.
Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer.
Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client.
Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from.
Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team.
Own the outcome.
Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number.
Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here.
Be credible with the customer’s engineers and their executives.
Shape what we commit to before we commit to it.
What You’ll Bring:
Mindset
Proactive and self-directed; identify problems before they're handed to you
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
B2+ English, comfortable collaborating across distributed, multicultural teams
Client Engagement
You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code
Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them
You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run
Technical depth
7+ years building and running production systems.
Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes
Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks
Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure
Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks.
Experience building and optimizing RAG systems in production
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.
Experience in making and defending architectural trade-off decisions
Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus
Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release
Model and agent monitoring, drift detection
Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs
Hands-on production experience with the Claude ecosystem — Claude Code, CLAUDE.md, hooks, skills files. Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus
MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus
Nice to have:
Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution
Experience in one of the industries: financial services, insurance, healthcare
Consulting, professional services, or other embedded customer-facing delivery
A2A: you can explain agent-to-agent interoperability
AWS and Claude Code Certifications
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Experience in an additional language (Go, TypeScript, or Rust)
Experience with Apache Spark, Apache Airflow, Kafkа
What We Offer:
The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment
A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance
Career growth; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
How we hire:
Intro conversation. The role, your background and aspirations, tech questions.
Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant
HR Interview. Soft skills and expectations
HM interview. Tech questions; a live engineering session is also possible
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
We’re looking for a highly motivated, technically savvy, and pragmatic attorney to join our Ads Legal team as Associate General Counsel, Ads Product. This role will provide legal guidance to our Ads Product and Engineering teams on a wide range of initiatives while collaborating with other partners across the company, including our commercial legal, ads policy, sales, privacy, and regulatory teams. This is an opportunity for an attorney who is mission-focused, proactive, and driven to make a big impact on Reddit’s rapidly growing ads business.
Location
: Remote – United States (NYC/SF preferred but not required)
What You’ll Do:
Enable Product Growth:
Leverage a deep understanding of technical product operation and business strategy to advise teams building products and features in a fast-paced, high-growth setting.
Work Autonomously:
Serve as principal legal advisor to various ads product areas, and develop subject-matter expertise to lead cross-product initiatives.
Guide Strategy:
Develop principles and frameworks that will help teams design products for a changing regulatory environment.
Counsel Emerging Technologies:
Advise on cutting-edge technology, including AI-driven features, data-clean-room solutions, and advanced machine learning.
Engage Across Functions:
Work closely with product managers, engineers, business partners, and other functions and all levels of the company.
Data & Privacy Governance:
Ensure that products and features comply with evolving global privacy and data laws (GDPR, ePrivacy, U.S. State Laws) and internal policies.
What We’re Looking For:
Advertising Expertise:
10+ years of legal experience with a significant focus on online advertising. You understand the digital ads business and the information systems and data flows that support it. Experience as ads product counsel at a UGC platform is a plus.
Good Team Member:
A nimble, creative thinker with lots of positive energy, superior organizational skills, a growth mindset, strong attention to detail, a sense of humor, and a team-first attitude.
Technical Understanding:
Deep knowledge of technical ads infrastructure and emerging trends. Experience advising AI-feature development in ads is a plus.
Problem Solver:
A "get-to-yes" mindset. Enthusiastic collaboration with the business to find workable solutions and drive risk-based decisionmaking.
Clear, Concise Communication:
Someone who can process information quickly, confidently exercise judgment in a timely fashion, and succinctly summarize complex legal concepts in writing or in conversation.
Project Management:
Ability to lead cross-functional groups and drive successful, timely outcomes in projects while balancing other tasks and responsibilities.
Mastery of the Regulatory Landscape:
Strong working knowledge of privacy laws and regulations, including the GDPR, U.S. State Privacy Laws, and self-regulatory regimes (IAB, NAI), as well as other statutory regimes that impact ads platforms (e.g., DSA, the EU AI Act).
Qualifications
: JD and active membership in at least one U.S. state bar (or ability to register as in-house counsel where required).
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$266,000
—
$372,400 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: New York, NY
Workplace: Hybrid
ABOUT THE COMPANY
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
OUR ETHOS
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
ABOUT THE ROLE
We’re looking for an IT Manager to own and evolve Rain’s internal technology and security foundation as we scale. Today, Rain is growing quickly with frequent onboarding, expanding tooling, and increasing security requirements. We operate in a sector that is actively targeted by malicious actors so we need someone who can baseline security—bringing structure, best practices, and calm execution to a fast-moving environment.
This role is both hands-on and strategic. You’ll manage day-to-day IT operations while also leading key security initiatives like access controls, device management, MFA, and audits across our internal tools. As Rain scales globally, you’ll design systems and processes that scale with the company.
Reporting to the Head of IT, you’ll work cross-functionally to ensure employees have the tools they need to work effectively, without compromising security or compliance. This is a foundational role with significant ownership and the opportunity to shape how IT and security operate at Rain for years to come.
WHAT YOU’LL DO
Own IT operations end-to-end
- Manage employee onboarding and offboarding, including laptops, device provisioning, access setup, and troubleshooting.
- Serve as the primary owner of Rain’s IT vendors and tooling (e.g., Deel IT, JumpCloud), ensuring smooth day-to-day operations and clear escalation paths.
- Coordinate device lifecycle management, including MDM enrollment, device returns, replacements, and inventory tracking.
- Support employees with day-to-day IT needs such as access issues, VPN support, and hardware troubleshooting.
Build scalable access and identity management
- Own identity and access management across tools, ensuring users have the right access at the right time.
- Design and maintain role-based access controls across core systems (e.g., Google Workspace, cloud tools, internal SaaS).
- Audit and clean up existing permissions across tools, including 1Password vault access and admin roles.
Raise Rain’s internal security posture
- Manage security configurations across internal tools, including MFA enforcement, device policies, and authentication standards.
- Lead the rollout and management of hardware-based authentication (e.g., YubiKeys).
- Define and document policies around device usage, access, and security best practices.
- Partner with Engineering and Security to identify gaps, improve controls, and prepare for future audits or compliance needs.
Enable scale and automation
- Improve and automate IT workflows using tools like JumpCloud (e.g., preconfigured apps, scripts, policies).
- Ensure enterprise plans, licenses, and seat usage are managed efficiently across tools.
- Continuously evaluate and improve Rain’s internal IT and security stack as the company grows.
Office and vendor coordination
- Support new office setup and office IT needs, coordinating with external partners as needed.
- Act as the point person for IT-related vendor relationships, contracts, and negotiations.
YOU ARE LIKELY TO SUCCEED IF YOU HAVE:
- 5 or more years in IT support, IT systems engineering or automation engineering, ideally at a startup or hypergrowth company and have the ability to build processed and foundations from scratch.
- Hands on Okta administration experience, including SSO, MFA, Group Rules and Universal Directory, with Okta Workflows a strong plus.
- Scripting and automation proficiency in Python and JavaScript for API interaction and system management.
- Familiarity with a modern SaaS and endpoint stack such as Google Workspace, Slack, JumpCloud, CrowdStrike and more.
- Hands on experience with office networking and AV such as UniFi, and comfort supporting onsite infrastructure across multiple offices.
- A working understanding of compliance frameworks such as SOC 2, PCI DSS and GDPR and how IT controls map to them.
- Strong end user support instincts and excellent written and verbal communication.
- Experience as part of a lean IT team (team of 1-2), handling everything from end-user support to systems and infrastructure
- A bias toward action and genuine comfort wearing many hats and filling gaps across corporate IT and security on a small team.
NICE TO HAVE:
- Experience in fintech, payments, Web3 or another regulated and high compliance environment.
- Experience with agentic AI tools and building AI powered internal workflows.
- Vendor negotiation and SaaS cost optimization experience.
THINGS THAT ENABLE A FULFILLING, HEALTHY AND HAPPY EXPERIENCE AT RAIN:
Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace.
Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan.
Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success.
Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit.
Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.
Location: Ta' Xbiex, Malta
Join COLIBRIX ONE – Innovating the Future of Payments
At
COLIBRIX ONE*
, we’re building advanced, AI-powered payment technologies that support Payment Service Providers (PSPs), Electronic Money Institutions (EMIs), and neobanks across the EU and the UK. As a fully licensed Electronic Money Institution (FCA Reference No. 927920) and holder of a Financial Institution Licence issued by the MFSA, as well as a principal member of both VISA and Mastercard, we provide comprehensive, real-world financial solutions that include:
Global card processing
Digital wallet infrastructure
Cross-border merchant accounts
Alternative payment methods (APMs)
Corporate accounts for legal entities
We’re a fast-growing team with a passion for innovation, security, and scalability. Our culture values curiosity, collaboration, and impact - and we’re looking for talented professionals who are ready to shape the future of fintech.
At COLIBRIX ONE, your work directly powers the digital economy. If you're eager to solve meaningful challenges and build with purpose, we’d love to hear from you.
About The Role
We're looking for a
Transaction Monitoring Specialis
t with strong analytical skills to detect fraud, assess risk, and ensure compliance with AML/CTF regulations and card scheme rules. You will monitor transactions in real time, investigate suspicious activity, and support improvements in monitoring processes.
Key Responsibilities:
Monitor deposits and review daily fraud and chargeback reports to ensure merchant compliance with VISA and Mastercard programs
Conduct real-time transaction monitoring for business and individual clients
Analyze large volumes of transaction data to detect suspicious patterns and potential fraud
Perform periodic evaluations of client accounts and website functionality to ensure compliance, including test transactions
Investigate merchants and portfolios to assess risk, ensure compliance, and detect fraudulent or illegal activities
Identify potential money laundering, terrorist financing, and sanctions evasion scenarios
Collect and manage additional client data related to completed transactions
Address operational monitoring issues promptly, escalating and reporting suspicious activities as needed
Ensure all client transactions comply with AML/CTF procedures and guidelines
Assist colleagues from other departments with AML/CTF-related matters
Provide insights and recommendations to enhance transaction monitoring efficiency
What you need to succeed in this role:
Minimum 2 years of experience in AML transaction monitoring
Proven experience in acquiring and underwriting
Strong understanding of AML/CTF regulations and industry best practices
Familiarity with customer due diligence (CDD) and enhanced due diligence (EDD) procedures
Experience working with large data sets and strong Excel skills, including pivot tables
Familiarity with payment screening processes
Excellent analytical and problem-solving skills, with attention to detail
Ability to work with confidential information
Proficiency in Microsoft Office and AML software/tools
Certification in AML/CTF or a related field is a plus
Experience working in a fast-paced environment
Motivation to learn and contribute to ongoing process improvements
Excellent written communication skills with the ability to convey complex information clearly
Fluency in English (proficiency in additional languages is considered an asset)
What we offer:
Opportunity to shape the future of fintech solutions within a growing company
A collaborative and supportive team environment
English / Spanish classes
Opportunity to receive reimbursement for work-related training/courses
Option to work in a hybrid model based on mutual agreement with the direct coordinator
*Employment will be offered by Mellifera Kartiera Limited, registration number C107685, legal address: Villa Malitah, Mediterranean Street, The Village, St. Julians, STJ 1870, Malta, which is part of the group of companies operating under the COLIBRIX ONE brand. COLIBRIX ONE is a brand representing a group of legal entities, including Mellifera Kartiera Limited, Colibrix Limited, and Mellifera Operations Limited. While this position is offered within Mellifera Kartiera Limited, the employer reserves the right to offer employment through another legal entity within the group.
We are hiring a Senior Applied AI Engineer to build and own that machinery. You will complete the entity-agent pipeline, build the evidence adapters behind a single envelope, run the benchmark and golden-gate system on a schedule, build the review and batch tooling the team operates, and carry the agents onto ZoomInfo’s Agentic Platform.
УдалённоseniorZoomInfo does not administer lie detector tests to applicants in any location
Location: United Kingdom
We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects.
For over 50 years, we've been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle - offshore and on land.
We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions.
Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves - all designed to help our clients optimize performance, enhance reliability, and improve efficiency.
With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way.
The Role & Responsibilities
The role will be responsible for taking technical ownership of key workstreams on EnerMech's Azure Databricks data platform, operating across the full platform stack: data modelling and pipeline development in Databricks, the underlying Azure infrastructure, and the CI/CD, DevOps and DataOps practices that keep the platform reliable, secure and scalable.
The role holder operates with a high degree of autonomy, makes and documents architectural decisions, resolves complex platform issues, and is a technical point of contact for the global EBS Team, and business stakeholders.
This is a fully remote role in the
UK
,supporting our Enterprise Business Systems (EBS) function in the Mumbai Shared Service Centre.
Key reponsibilities will include:
Design, build, quality and reliable operation of assigned workstreams on the Azure Databricks data platform, from scoping through to production deployment.
Integrity of the medallion data model (bronze/silver/gold) for assigned data domains, ensuring data is modelled, validated, documented and certified for downstream reporting and analytics.
Build and optimise Delta tables and materialized views, with attention to performance at scale.
Design and implement data quality frameworks (preferably DQX or equivalent), including quarantine/error handling and validation against data contracts.
Define job-specific compute configurations appropriate to each workload, balancing performance and cost.
Contribute to and troubleshoot Terraform-managed infrastructure (networking, storage, Key Vaults, Managed DevOps Pools, Dev Centers).
Own and maintain Azure DevOps build and release pipelines, variable groups/libraries, and repository security, permissions and branch policies.
Support environment-level Azure configuration, including subscription-level access, RBAC for user and pipeline (service principal) identities, and Terraform state backend management across multiple storage accounts and environments.
Operate autonomously across a workstream, from scoping through to production deployment.
Use AI-assisted tooling to support day-to-day development, validating outputs against authoritative sources (architecture decisions, technical leads, documentation) before acting on them.
Communicate clearly with technical and non-technical stakeholders, including across time zones with colleagues in the UK, Americas, Middle East and Asia Pacific.
The Requirements
Essential
Bachelor's degree in Computer Science, Engineering, Information Systems or a related discipline, or equivalent practical experience.
Typically 6+ years in data engineering, including 3+ years hands-on with Azure Databricks in production.
Demonstrated ownership of medallion architecture design and data modelling.
Implemented data quality frameworks and data contracts in production.
Implemented PII protection (masking, tokenisation or access tiering) across environments.
Platform engineering experience: diagnosing infrastructure issues, not just consuming platform services.
Track record of autonomous delivery, including direct stakeholder engagement.
Databricks Certified Data Engineer Associate (minimum).
Desirable
Databricks Certified Data Engineer Professional.
Microsoft AZ-400: Designing and Implementing Microsoft DevOps Solutions.
Multi-environment Azure networking (VNet peering, DNS zone design, NAT Gateway).
Migrating or standing up CI/CD pipelines, incl. introducing pipeline templates/standards.
Governance and identity patterns (e.g. Entra ID, RBAC scoping).
Applying regulatory frameworks (e.g. GDPR) to data platform design.
Shared service centre or global delivery model experience, ideally in energy or industrial services.
Location: Dubai, United Arab Emirates; Monaco; London, United Kingdom
AHS is a Dubai-based group focused on ultra-luxury real estate development, strategic investments, and high-value ventures. Within its hospitality environment, attention to detail, discretion, and exceptional service are central to the experience it creates.
We are seeking a Villa Chef with a strong focus on Japanese cuisine to deliver a refined private dining experience. This role is suited to someone who brings craftsmanship, consistency, and a highly personalized approach to service, with the ability to anticipate preferences and maintain exacting culinary standards in an exclusive setting.
Responsibilities
Prepare authentic Japanese dishes tailored to guests’ tastes and dietary needs.
Create seasonal menus featuring sushi, sashimi, tempura, and traditional specialties.
Source premium ingredients and maintain exceptional standards for freshness and presentation.
Manage kitchen inventory, supplier orders, food safety, and daily cleanliness.
Coordinate meal timings and accommodate special requests in a private villa.
Requirements
Specialization in Japanese cuisine.
Hands-on experience in private villa or household chef work, ideally within a luxury hospitality setting.
Background in high-end omakase-style kitchens.
Proven ability to prepare sushi, sashimi, and tempura to a high standard.
Experience with kaiseki-style presentation and exceptional attention to detail in plating.
Experience serving principals directly and handling special dietary requests with discretion.
Dubai, United Arab Emirates; Monaco; London, United Kingdom
Location: United States
Workplace: OnSite
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?
Are you energized by bridging the gap between frontier AI capability and complex customer reality? Do you want to architect high-performance, resilient machine learning systems directly inside strategic enterprise environments? We are looking for a Staff Forward Deployed Engineer (FDE) to join our team. The team is responsible for taking our large language models and making them work reliably, securely, and at peak performance within our customers' custom infrastructure and data perimeters.
In this role, you will act as the principal technical translation layer between our core engineering teams and our strategic partners. You will own the architecture for highly ambiguous, customer-specific inference challenges—ranging from multi-tenant model serving to multi-datacenter disaster recovery and custom hardware validation. You will lead technical adoption end-to-end, ensuring our models achieve exceptionally low latency, high throughput, and seamless resilience in the field.
As a Forward Deployed Engineer, you will:
• Embed directly with customer engineering teams to architect the "connective tissue" between our AI models and their live, complex production environments.
• Design advanced model serving topologies, implementing multi-tenant architectures, intelligent model routing, and cross-datacenter failover strategies for multi-cluster environments.
• Optimize "AI-in-a-box" and private deployments, balancing localized SRE constraints like Kubernetes multi-cluster scale with raw model performance.
• Conduct rigorous benchmarking and profiling of customer LLM workloads, root-causing performance degradation (e.g., slow generation) via metrics, dashboards, and distributed logs.
• Accelerate hardware validation, collaborating with clients to run and support Cohere models on next-generation accelerators (GPUs, TPUs, AMD, and custom ASICs).
• Translate complex field friction into platform upgrades, delivering prescriptive feedback and contributing directly back to core product features.
• Ensure Day-1 production reliability, assisting customers in establishing sound deployment patterns, SLOs, and observability frameworks.
You may be a good fit if you have:
• 8+ years of engineering experience running production infrastructure, designing large-scale distributed systems, or deploying enterprise software in complex environments.
• Deep technical depth in production Kubernetes, including orchestration across multi-cluster and hybrid/multi-cloud ecosystems (GCP, Azure, AWS, OCI).
• Strong understanding of LLM architecture and inference dynamics, specifically how attention mechanisms, compute-bound prefill, and memory-bound decode phases dictate live performance.
• Hands-on experience with modern inference engines and optimization stacks (e.g., vLLM, TensorRT-LLM, lmd, or Dynamo).
• Familiarity with distributed serving techniques, such as prefill/decode disaggregated serving, distributed KV caching, and multi-GPU workloads.
• Exceptional customer-facing technical leadership, with a proven track record of scoping highly ambiguous problems and steering executive technical stakeholders.
• The high agency, grit, and adaptability to write same-day production code while managing client-side deployment politics or blockers.
• Strong programming foundations in Python, Go, or C++, comfortable moving fluidly between backend data pipelines and infrastructure layer tuning.
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: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a
professor in a quantitative discipline, a technical founder or a staff-level engineer
and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required.
What to expect
A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers
Access to Claude models and GPU compute
Connection to the broader AI safety and security research community
Interview process
The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check.
Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027.
You may be a good fit if you
Are motivated by making sure AI is safe and beneficial for society as a whole
Are excited to transition into working on empirical AI research full-time
Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer)
Thrive in fast-paced, collaborative environments
Can implement ideas quickly and communicate clearly
Strong candidates may also
Have experience authoring research papers in machine learning, NLP, or AI safety
Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases
Mentors and research areas
Potential Anthropic mentors include:
Sara Price
: leads the Alignment Training team; background in data science
Ethan Perez
: leads the Alignment Science team; background in machine learning
Evan Hubinger
: leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI)
Samuel Marks
: leads the Scalable Oversight team; background in mathematics
Elana Simon
: researches the interpretability of language models and biological models; background in biomedical informatics
Belinda Li
: researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT)
Jack Lindsey
: leads the Model Psychology team; background in theoretical neuroscience
Nicholas Carlini
: researches adversarial machine learning and AI security; previously at DeepMind and Google Brain
Jascha Sohl-Dickstein
: works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain
Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include:
AI safety & alignment
Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains.
Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.
Model Organisms: Creating
model organisms of misalignment
to improve our empirical understanding of how alignment failures might arise.
Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures.
Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment.
AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations.
AI security & frontier red-teaming
Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography.
ML systems & reinforcement learning
Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines.
For a fuller picture of the questions we care about, see our
Recommendations for Technical AI Safety Research Directions
and recent publications from our
Alignment
,
Interpretability
and
Frontier Red
teams.
Logistics
Duration:
Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception.
Location:
This application is for a remote UK position, with the option to work from our London office. However, we prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire.
Commitment:
Full-time role for the duration of the residency.
Compensation:
£265,000 to £375,000/year pro-rated for the duration of the residency + benefits
Visa sponsorship:
We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire.
Applicants may also be considered for the
Anthropic Fellows Program
.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£265,000
—
£375,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
seniorBangalore, India
УдалённоNew York; Dublin; London; This role is remote-first, so it can be executed from anywhere in Central Europe or Eastern US timezones
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УдалённоNorth Macedonia; Montenegro; Moldova; Bulgaria; Czechia; Bosnia and Herzegovina; Croatia
УдалённоRemote - United States
ГибридNew York, NY
Ta' Xbiex, Malta
УдалённоseniorUnited Kingdom; Communicate clearly with technical and non-technical stakeholders, including across time zones with colleagues in the UK, Americas, Middle East and Asia Pacific
ОфисUnited States; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
Противоречивые условия: Most full-time research roles at Anthropic require relocation to San Francisco
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