About KPI Solutions:
KPI Solutions is a national supply chain consulting and warehouse automation systems integrator, formed in 2021 by merging Kuecker Logistics Group, PULSE Integration, and QC Software. The company specializes in material handling integration and delivers engineered solutions combining automated technologies (MHE, robotics, conveyor, ASRS, AMR/AGV) with intelligent warehouse execution software to optimize productivity and fulfillment speed.
Position Summary:
The Software Deployment Engineer I/II is an individual contributor responsible for end-to-end delivery, configuration, installation, and support of Kommand warehouse execution/control systems and related material handling hardware such as pick-to-light, overhead illuminators, AutoStore, and T-sort integrations. The role includes project-level system configuration, commissioning, installation, upgrades, and live troubleshooting independently across on-site and remote/office phases. This role consolidates hardware installation and commissioning functions previously done by a dedicated Systems Integration & Commissioning team.
Key Responsibilities:
On-Site Delivery:
— Lead software commissioning of Kommand and peripheral hardware systems at customer sites as primary technical owner.
— Full-scope installation of pick-to-light and overhead illuminator systems including wiring, physical installation, configuration, and functional testing.
— Conduct Installation Qualification (IQ) and User Acceptance Testing (UAT) with formal documentation and customer sign-off.
— Sole owner of Kommand and system-level troubleshooting for live production issues during on-site engagements.
Remote / Office Delivery:
— Independently deliver new Kommand installations including application pre-configuration, database scripting, and pre-deployment testing.
— Deliver Kommand version upgrades including SSDT schema comparisons, version control, local pre-install testing, and customer coordination.
— Perform production upgrade execution after business hours to minimize downtime.
— Work on DEV, QA, and Sandbox environments during business hours.
— Validate, diagnose, and remediate defects, escalating rarely.
— Participate in on-call rotation covering Kommand, AutoStore, and T-sort system escalations.
— Provide post-go-live support including system migrations, integration testing with ERP/WMS platforms (e.g., SAP/WMS), and multi-site rollout support.
Project Configuration & Deployment:
— Gather Kommand configurations and system parameters for projects.
— Translate Business Requirements Document and customer conversations into system settings, network spreadsheets, and parameters.
— Educate clients on host interface use.
— Configure Kommand sandbox and production environments for customer testing and go-live.
— Assist with training on new features.
Scope & Independence:
— Sole owner of critical workstreams including new installations, upgrades, and live troubleshooting.
— Requires judgment and technical depth to manage customer-facing delivery, testing, and sign-off without dedicated support.
Requirements:
— Experience commissioning warehouse execution/control software and hardware peripherals.
— Working knowledge of SQL Server environments including SSDT schema comparison and version control.
— Experience with formal software testing methodologies (IQ/UAT) including documentation and customer sign-off.
— Ability to diagnose, troubleshoot, and resolve live production issues under time pressure.
— Comfort or willingness to perform hands-on installation work for pick-to-light and overhead illumination systems.
— Willingness to work after hours and participate in on-call rotation.
— Ability to translate business requirements into structured system configuration.
— Strong customer-facing communication skills.
Preferred Qualifications:
— Experience with AutoStore and/or T-sort systems.
— Experience with ERP/WMS integration testing (e.g., SAP).
— Background in material handling, warehouse automation, or industrial controls.
What we Offer:
— Medical, Dental, Vision Insurance
— Health Care Concierge Service
— 401(k) Retirement Plan (Pre-tax & Roth)
— Company paid Basic Life Insurance, Short-Term and Long-Term Disability
— Voluntary Life & AD&D Insurance
— Voluntary Accident, Critical Illness & Hospital Indemnity Insurance
— Pet Insurance
— Milk Stork Program
— Wellness Program with gift card redemption and challenges
— Paid Time Off (Vacation, Sick & 10 Holidays)
— Training & Development
Equal Employment Opportunity statement included.
Location: San Francisco, CA; New York, NY
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
WHAT YOU’LL DO
As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai on a Flagship Deployment, you’ll lead the end-to-end deployment for one of Sierra’s largest and most strategic customers. You own how Sierra's AI agents come to life, often managing scaled deployments as well as new proofs of concept within the same account. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer's thorniest, highest-stakes problems into agents that measurably move their business.
- Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it's the best version of itself in the real world. You'll have real ownership and autonomy over the outcome.
- Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers' executives, understand what success actually means to their business, and shape the AI strategy that gets them there.
- Partner with the customer's working teams and executives day to day. Oversee overall program management while ensuring ongoing executive alignment on the long term roadmap.
- Navigate enterprise complexity with cross-functional teams (engineering and product). At this scale, every big technical discussion is also a negotiation — you'll need to read the implications in real time, hold your ground, and steer toward the right outcome. Expect to work across business units, procurement, compliance, and senior execs.
- Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next.
- Manage internal resourcing requirements. Ensure that your deployment is appropriately resourced today and into the future
- Drive financial success for both the customer and Sierra. Ensure value exchange is optimized, drive revenue upside for Sierra, and work internally to manage down cost to serve over time, improving margins.
- Partner with Sales on commercial strategy. You are a key player in closing new business within the deployment by identifying opportunities, aligning resources, and
EXAMPLE PROJECTS
These are the kinds of projects that strategists on our team have worked on recently:
- Plan, organize, and execute on-site business reviews onsite at a Fortune 100 company with Sierra cofounders in attendance
- Manage a portfolio of agents across a customer deployment as they scale nationally, to new use cases, and grow in technical complexity
- Build relationships throughout the customer’s organization, unlocking high trust, social capital, and ultimately new ARR
- Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation.
- Partner with product on a net-new capability — a new agent architecture or self-service tooling — using a live customer as the design partner.
- Define the evaluation and quality bar for a new agent, then use those metrics to drive a measurable lift in outcome https://sierra.ai/blog/outcome-based-pricing-for-ai-agents week over week.
WHAT YOU’LL BRING
- Proven track record: 10+ years of relevant experience driving results in high stakes situations in an enterprise customer facing role, ideally in a dedicated, embedded model with a named enterprise account — you know what it means to be accountable for a relationship at that depth.
- Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships.
- Communication. Clear, direct, and persuasive across technical and non-technical audiences.
- Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast.
- Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion.
- Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes.
EVEN BETTER...
- You've run a company, business unit, forward deployed team, or have comparable experience in general management of business initiatives that require technical aptitude, strategic leadership, operational excellence, and financial outcome accountability.
- Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts.
- A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
Location: New York Office
Workplace: Hybrid
Taktile is building the infrastructure that enables financial institutions to become truly AI-native. As our customer base grows, we're looking for a Director of Forward Deployed Engineering to lead our NORAM FDE organization and scale how we deliver complex AI and decisioning solutions into production.
This is a hands-on leadership role for someone who has led teams of Forward Deployed, Implementation, or Delivery Engineers through complex enterprise deployments. You’ll lead a team of 15-20 FDEs while also acting as a senior technical leader on our most challenging customer engagements. You’ll help define the operating model, tooling, and standards that allow an FDE-led delivery organization to move quickly while consistently delivering production-grade solutions and measurable customer value.
What You'll Do as Director, Forward Deployed Engineering
- As a coach:
- Lead a team of 15-20 FDEs in our NORAM region to ensure signed contracts are delivered in production with solid, measurable business value.
- Own the Quarterly Go-live ARR metric for NORAM region.
- Own team operations e.g. monitor signed contracts backlog, manage implementation pipeline, assign project staffing, monitor team capacity, review project milestones, evaluate and sign off project outcomes, etc.
- Scale our FDE-led delivery motion by working closely with Engineering and Product teams to build and maintain the FDE tooling library and ensure flexibility, reusability, and maintainability in the FDE operating system layer.
- Advocate for your team's priorities with Product and Engineering leaders, securing the resources to unblock and accelerate key implementations.
- Hire and develop FDEs to keep pace with the business.
- As a player:
- Act as principal FDE and solution architect on our most complex deployments, owning enterprise, production-grade design.
- Bring technical expertise and authority to lead problem solving sessions with customers' technical teams and Taktile internal engineering teams.
- Provide sharp signal on product-market fit, product gaps, and enhancements back to Product and Engineering
- Remain genuinely hands-on - platform configuration, AI-agent training and evals- and step into delivery work when a project needs it.
About You
- You, first and foremost, truly believe in the FDE-led AI delivery motion. You want to be part of building and running an industry-best FDE team that implement enterprise production-grade AI solutions highly efficiently and at-scale.
- You have 10+ years of experience as an Implementation Engineer, Forward Deployed Engineer, Solution Engineer or an equivalent position within a B2B SaaS company.
- You've led large, multi-quarter enterprise implementations- seven-figure ARR, staffed by cross-functional teams.
- You have strong technical background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science.
- You've managed a team (5+ reports) and can grow one.
- You're still sharp in production Python and SQL, and fluent with REST APIs, batch data pipelines, and data-warehouse integrations.
- You're bilingual in tech and business: you go deep with engineers and talk value and trade-offs with executives.
- You're collaborative, curious, and low-ego- you work well across product, engineering, and GTM teams, and you bring a genuine desire to advocate for customers' successes while maintaining Taktile solution and system principles.
- You can work from our NYC office at least three days per week.
Ideal Qualifications (but not required)
- You have experience in building AI applications within financial services
- You have experience in applying and optimizing statistical and machine learning models to solve business problems.
- You have first hand experience in at least one of our core use cases: business onboarding, business loan underwriting, insurance claim processing, and financial crime / fraud / AML investigation.
- You have experience with at least one of the major cloud platforms (AWS, Azure, GCP).
What We Offer
- Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here.
- Make an impact and meaningfully shape an early-stage company.
- Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo.
- Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe.
- Receive a top-of-market equity and cash compensation package.
- Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes.
- Use the equipment of your choice including meaningful home office set-up.
Our Stance
- We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply.
- We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears.
About Us
Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com.
About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process.
Your Privacy. Taktile ("we" or "us") is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references.
How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities.
Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)).
Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates' data becomes part of their employment records.
Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. California residents have additional rights under the CCPA, including the right to know, delete, and correct personal information.
Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review.
International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms.
By submitting your application, you acknowledge that you have read and understood Taktile's Applicant Privacy Policy https://taktile.com/legal/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com.
Location: Singapore
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.
As a
Field Delivery Engineer,
you will be leading the on-site delivery and deployment of hardware in new locations.You will plan, coordinate, and supervise activities from rack acceptance tests through full operational readiness, ensuring that servers, storage, networking, and supporting systems are installed and functioning according to specifications.
Your responsibilities will include:
Planning & Coordination
Own the hardware deployment plan for new sites, aligning timelines, scope, and resources with project stakeholders.
Coordinate with logistics, supply chain, data center construction, and network teams to prepare GPU servers for delivery to customers.
Verify all pre-deployment requirements (racks, power, cooling, connectivity) are met.
On-Site Delivery & Installation
Supervise racking, cabling, and powering of hardware equipment.
Ensure configuration, firmware upgrades, and integration with management systems follow standards.
Work closely with vendors, contractors, and local staff during the installation phase.
Quality & Readiness
Conduct functional checks, acceptance tests, and troubleshooting to confirm all systems operate correctly.
Document installation steps, asset data, and lessons learned for future rollouts.
Establish and maintain best practices for safe, efficient hardware deployment.
Collaboration & Reporting
Act as the single point of contact on site for deployment activities, providing clear updates to project managers and leadership.
Support transition of deployed hardware to operations teams for steady-state management.
Contribute feedback to improve hardware design and deployment playbooks.
We expect you to have:
3+ years' experience in data center, hardware, or IT field delivery roles.
Strong knowledge of server, storage, and network installation practices (racking, cabling, power, cooling).
Strong hands-on experience working on datacenter floors with server hardware and Linux troubleshooting.
Proven track record coordinating deployments across multiple stakeholders and vendors.
Ability to read and interpret technical documentation, layouts, and wiring diagrams.
Ability to perform deep diagnostics across hardware, firmware (BIOS/
BMC
), and Linux (logs, drivers, storage stack basics, performance triage).
Excellent organizational, communication, and problem-solving skills.
Willingness to travel frequently (sometimes at short notice).
It will be
an added bonus
if you have:
Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, GPU and system logs correlation).
Experience with Redfish and
BMC
tooling (ipmitool/Redfish), firmware lifecycle, and staged rollouts.
Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis.
Exposure to
OCP
-based platforms and
ODM
manufacturing ecosystems.
Familiarity with change management, asset tracking, and quality-assurance processes.
Understanding of health, safety, and environmental standards in datacenter or industrial settings.
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: Hyderabad, India
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.
As a
Field Delivery Engineer,
you will be leading the on-site delivery and deployment of hardware in new locations.You will plan, coordinate, and supervise activities from rack acceptance tests through full operational readiness, ensuring that servers, storage, networking, and supporting systems are installed and functioning according to specifications.
Your responsibilities will include:
Planning & Coordination
Own the hardware deployment plan for new sites, aligning timelines, scope, and resources with project stakeholders.
Coordinate with logistics, supply chain, data center construction, and network teams to prepare GPU servers for delivery to customers.
Verify all pre-deployment requirements (racks, power, cooling, connectivity) are met.
On-Site Delivery & Installation
Supervise racking, cabling, and powering of hardware equipment.
Ensure configuration, firmware upgrades, and integration with management systems follow standards.
Work closely with vendors, contractors, and local staff during the installation phase.
Quality & Readiness
Conduct functional checks, acceptance tests, and troubleshooting to confirm all systems operate correctly.
Document installation steps, asset data, and lessons learned for future rollouts.
Establish and maintain best practices for safe, efficient hardware deployment.
Collaboration & Reporting
Act as the single point of contact on site for deployment activities, providing clear updates to project managers and leadership.
Support transition of deployed hardware to operations teams for steady-state management.
Contribute feedback to improve hardware design and deployment playbooks.
We expect you to have:
3+ years' experience in data center, hardware, or IT field delivery roles.
Strong knowledge of server, storage, and network installation practices (racking, cabling, power, cooling).
Strong hands-on experience working on datacenter floors with server hardware and Linux troubleshooting.
Proven track record coordinating deployments across multiple stakeholders and vendors.
Ability to read and interpret technical documentation, layouts, and wiring diagrams.
Ability to perform deep diagnostics across hardware, firmware (BIOS/
BMC
), and Linux (logs, drivers, storage stack basics, performance triage).
Excellent organizational, communication, and problem-solving skills.
Willingness to travel frequently (sometimes at short notice).
It will be
an added bonus
if you have:
Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, GPU and system logs correlation).
Experience with Redfish and
BMC
tooling (ipmitool/Redfish), firmware lifecycle, and staged rollouts.
Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis.
Exposure to
OCP
-based platforms and
ODM
manufacturing ecosystems.
Familiarity with change management, asset tracking, and quality-assurance processes.
Understanding of health, safety, and environmental standards in datacenter or industrial settings.
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: New York, New York, United States
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
Role:
Forward-Deployed AI Engineer — Enterprise AI
Location:
New York City
Experience Level:
8+ years
Compensation:
$200,000–$250,000 base salary + equity
Work Model:
In-office, typically three to five days per week, depending on client requirements
Why Join Enterprise AI?
Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you’ll define the frontier by building beyond it.
You’ll join the initial team of Forward-Deployed Engineers, shaping how we work while solving enterprise-grade problems for the world’s leading enterprises. As a Forward-Deployed AI Engineer, you’ll own outcomes end to end—from identifying high-value customer problems and shaping architecture to building production systems and working directly with senior client leaders.
You’ll develop generative AI solutions in the real world, driving measurable impact and return on investment within large institutions. Enterprise AI is intense, intellectually challenging work. It won’t be for everyone, but it may be
exactly the challenge you’re looking for.
As a Forward-Deployed Engineer, You Will
Find the Problem Worth Solving
Work directly with customers to navigate ambiguity, uncover high-value opportunities, challenge assumptions, and translate complex business needs into clear technical direction. This requires curiosity and business acumen as you discover business workflows and jointly define the outcomes an AI solution should drive.
Build Beyond the Frontier
Architect and build production AI systems, from multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation (RAG) to the APIs, data pipelines, integrations, and distributed systems that make them reliable at scale.
Own the Outcome
You won’t simply be given a list of responsibilities—you’ll have the authority to own the outcome for your client and make a real-world impact through your work. You’ll lead solutions from discovery through deployment and measurable impact while staying hands-on and owning evaluation, observability, security, reliability, latency, scalability, and cost.
The Anti-Sell
High ownership and intensity:
This role requires exceptional ownership and accountability. You’ll work with clients who have uncompromising expectations for quality, making this a demanding environment—and an ideal proving ground for people who seek difficult, high-impact challenges.
Client-first and in-office:
Our work is client-first, which means in-person collaboration may be required either at the client site or at our planned Manhattan office near Madison Square Park. Depending on your assignment and client needs, you should expect to work in person three to five days per week and be based in the New York City area or within a reasonable commuting distance.
You’ll help write the playbook:
Enterprise AI operates like a startup. You may not always have an established process or playbook because you’ll be expected to apply your expertise, judgment, and technical depth to create one.
Our Forward-Deployed Engineers Typically Have
Deep production engineering experience:
Typically 8+ years building and operating sophisticated software systems, with expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure.
Hands-on agentic AI experience:
Experience building production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows.
End-to-end systems ownership:
A track record of taking complex systems from architecture through deployment and scale, with a practical understanding of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost.
Exceptional customer and technical leadership:
The ability to enter unfamiliar environments, earn trust quickly, navigate ambiguity, challenge assumptions constructively, and communicate effectively with senior engineers and business executives.
Client-ready communication:
The ability to explain technical concepts clearly, navigate ambiguity, work with stakeholders, and remain calm under pressure.
Don’t Meet Every Qualification Yet?
If you don’t meet every qualification for this role, we encourage you to apply to our
Forward-Deployed AI Engineer (In Training)
opportunity.
This role is designed for high-potential software engineers and full-stack developers who are building the production engineering, applied AI, and client-delivery skills required to become Forward-Deployed AI Engineers at Turing.
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: Remote - Europe
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 hiring a Forward Deployed Engineer to work alongside Physical AI customers, shape our core infrastructure products, and test ideas for what we should build next.
You will work with enterprises, ISVs, and digital-native companies running training, simulation, synthetic data, evaluation, and model serving workloads. By understanding their systems and helping them reach production, you will uncover requirements that inform our Cloud, Serverless, and Token Factory teams. The goal is to connect needs across Physical AI industries with product decisions, including improvements that benefit enterprise customers more broadly.
You will also investigate opportunities for new Nebius products. You will develop hypotheses about unmet needs, examine demand and existing alternatives, and build prototypes to test with customers. Your findings will help determine which opportunities deserve investment and what an initial product should deliver.
The work is hands-on. You will write code, deploy and benchmark models, build agents, and troubleshoot infrastructure alongside customer engineers.
The position is part of the Physical AI go-to-market team, with close collaboration across customers, NVIDIA, Product, and Engineering.
What you will do
Work with customer engineers to understand their workloads, infrastructure constraints, and production requirements.
Translate Physical AI use cases into requirements that Cloud, Serverless, and Token Factory teams can use, backed by measurements and customer evidence.
Identify enterprise adoption barriers and common needs across industries. Work with Product and Engineering to assess gaps and test improvements with customers.
Build agents that set up, run, and debug Physical AI workloads, connecting them to clusters, schedulers, storage, and model servers.
Deploy and benchmark open-weight models with serving stacks such as vLLM or SGLang, then tune them for customer workloads.
Build prototypes and run technical evaluations to answer specific questions about performance, reliability, and product fit.
Assess demand and existing alternatives for opportunities outside current product teams’ scope, then build where there is a clear market.
Debug across Python, agents, model servers, Kubernetes, GPUs, networking, and storage. Turn successful setups into reusable scripts, deployments, and short guides.
What we are looking for
Three or more years in software engineering, cloud infrastructure, DevOps, ML infrastructure, or similar, including ownership of a production service, cluster, or platform.
Experience working directly with customers or external engineers to scope problems, run evaluations, and explain technical tradeoffs.
Ability to turn an unfamiliar customer problem into concrete infrastructure requirements.
Practical experience building with LLMs or agents, at work or independently, with an understanding of their internals (e.g., transformers, KV caching, or tool calling) and how to evaluate their outputs.
Familiarity with enterprise infrastructure requirements, including identity and access management, network isolation, security, monitoring, and reliability.
Strong Python and Linux skills: you can read unfamiliar code, automate a setup, and debug from logs and metrics.
Practical experience with containers and Kubernetes, including configuration, networking, storage, and scheduling.
A record of getting useful software working with incomplete requirements, measuring results, and following through with the people using it.
Helpful experience
Enterprise customer engineering, solutions architecture, consulting, or taking a new product from an initial customer problem to adoption.
Distributed compute such as Ray, Slurm, Spark, or multi-GPU jobs.
NVIDIA GPU workloads, including memory management, drivers, CUDA, NCCL, and monitoring.
Model serving with vLLM, SGLang, TensorRT-LLM, or TGI.
Robotics, simulation, synthetic data, reinforcement learning, world models, or tools such as Isaac Sim, Isaac Lab, Omniverse, and Cosmos.
Infrastructure automation and enterprise integrations, including Terraform, CI/CD, private connectivity, and identity federation.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Amsterdam, Netherlands
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 and deploying large-scale AI infrastructure across multiple data centers. Our Hardware Deployment Engineering team is responsible for the technical bring-up, validation, troubleshooting and handover of new GPU, compute and storage infrastructure.
We are looking for
a Hardware Deployment Engineering Team Lead
to manage and develop the Deployment Engineering team across EMEA. This is a hands-on technical leadership role that combines people management, capacity planning, project coordination and infrastructure engineering.
You will lead engineers working across new data center launches and expansion projects. You will also serve as the primary point of contact between Deployment Engineering, project management, Data Center Operations and other engineering teams & will report to the Head of Hardware Delivery and Deployment.
This position is based at our headquarters in Amsterdam, the Netherlands. Remote work is not available for this role. Regular travel to data centers across EMEA will be required
Your responsibilities will include:
Lead the Deployment Engineering team
Manage a team of Deployment Engineers across EMEA.
Hold regular 1:1s, provide feedback, set expectations, and support engineers in their development.
Assign responsibilities and make sure engineers have clear ownership during deployments.
Identify skill gaps and build technical depth within the team.
Support hiring, onboarding, and performance management as the team grows.
Remove blockers for engineers and escalate organizational or technical issues when necessary.
Own deployment engineering planning
Represent Deployment Engineering in project planning and synchronization meetings for new data center launches.
Understand upcoming deployment milestones and translate them into engineering resource requirements.
Plan engineer allocation across multiple parallel projects and deployment phases.
Make sure the right technical expertise is available for hardware bring-up, testing, troubleshooting, and acceptance.
Identify resource conflicts and delivery risks early rather than reacting to them during deployment.
Maintain a clear view of team capacity, project priorities, travel requirements, and upcoming workload.
Drive technical execution
Ensure deployment testing and hardware bring-up are executed consistently and to the required quality level.
Support engineers with complex hardware, firmware, Linux, and systems troubleshooting.
Step into critical technical issues when deeper investigation or coordination is required.
Drive problems toward a clearly identified failure domain, root cause, or actionable escalation.
Coordinate with R&D, DC Operations, vendors, ODMs, and other engineering teams when issues cross organizational boundaries.
Make sure deployment findings result in fixes, documentation, tooling, or process improvements rather than remaining one-off solutions.
Improve how we deploy infrastructure
Build repeatable deployment processes, standards, checklists, and troubleshooting practices.
Improve the quality and predictability of hardware testing and acceptance.
Identify recurring deployment problems and drive systemic fixes upstream into factory, hardware, firmware, tooling, or operational processes.
Improve handover from Deployment Engineering to steady-state operations.
Help develop automation and tooling that reduce manual work and increase deployment scale.
We expect you to have:
Strong experience with server hardware, data center infrastructure, or large-scale systems deployment.
Experience leading engineers, either as a formal people manager or as a strong technical/team lead with clear ownership for other engineers.
Ability to plan resources and coordinate engineering work across several projects running in parallel.
Strong ownership mindset and the ability to operate in environments where procedures are incomplete and problems are not yet well understood.
Ability to challenge assumptions, investigate beyond the immediate symptom, and drive issues to resolution.
Strong communication skills and the ability to work effectively with project managers, engineering teams, operations, and external vendors.
Comfortable working directly in data centers and traveling across EMEA when required.
It will be an added bonus if you have:
Linux troubleshooting skills and a solid understanding of modern server architecture.
Experience diagnosing hardware and infrastructure problems across components such as CPU, memory, NVMe, PCIe, NICs, BMC, BIOS, and firmware.
Experience deploying GPU or AI infrastructure at scale.
Experience with large server fleets or hyper-scale environments.
Experience working with ODMs or server vendors during production, deployment, or failure investigation.
Experience with automated hardware validation or fleet-level testing.
Experience building a deployment, infrastructure, SRE, hardware reliability, or similar engineering team.
What success looks like
You will not be measured by how many individual servers you personally troubleshoot or deploy.
Success means that Deployment Engineering operates as a reliable function: projects know when and how to engage the team, engineers are assigned to the right work, technical problems are driven to resolution, deployment risks are visible early, engineers are developing, and new infrastructure can move from delivery to operational readiness predictably.
You will be the person the Head of Hardware Delivery and Deployment can rely on to run the EMEA Deployment Engineering function day to day, while also continuously improving how the team operates and scales.
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: Boston; California; Pennsylvania; Florida; New York; Massachusetts; Virginia; Washington State; Colorado; New Jersey; Georgia; Texas
Workplace: Remote
The AI orchestration of your wildest imagination.
n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.
Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve:
- Cultivated a community of more than 650,000 active developers and builders
- Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects
- Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation
That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register.
We’re in a defining moment of an incredible journey. Come and build with us.
🎯 Your main goal will be to turn n8n’s most strategic enterprise deployments into production-ready success stories by embedding on-site, solving real customer problems, and building reusable automation patterns that shape our product.
To do so, you’ll work directly with customers, Deployment Strategists, and Product to make every engagement high-impact, scalable, and repeatable:
Drive high-impact enterprise deployments
Embed on-site with enterprise customers for focused 5-day deployment engagements, arriving with a hypothesis and leaving with production workflows in place.
Partner closely with Deployment Strategists to align technical execution with customer priorities, stakeholder needs, and adoption goals.
Build trust with technical and non-technical stakeholders by turning complex customer environments into clear, actionable solutions.
Build production-grade automation solutions
Design and build workflows, integrations, and custom nodes tailored to each customer’s environment and scalable beyond the initial use case.
Extend existing n8n nodes or add missing functionality where needed to unlock high-value enterprise use cases.
Translate ambiguous business problems into concrete automation designs that prioritize real customer value over technical complexity.
Work across industries and tech stacks, getting productive quickly in new environments.
Bridge customer needs with Product and Engineering
Identify when a bespoke customer requirement should become a reusable node improvement, product feature, or platform capability.
Create a clear feedback loop with Product and Engineering by documenting technical gaps, customer context, implementation learnings, and prioritization signals.
Contribute reusable learnings, workflows, custom nodes, and integration patterns to an internal playbook library.
Turn customer learnings into product and playbooks
Identify when a bespoke customer requirement should become a core product feature and document it clearly for Product.
Contribute reusable learnings, workflows, and patterns to an internal playbook library.
Help ensure every engagement makes the next one faster, stronger, and more productized.
Keep engagements focused and scalable
Deliver time-boxed customer engagements with clear outcomes, rather than open-ended professional services work.
Build solutions that customers can own and operate themselves.
Know when to build, when to simplify, and when to push back to avoid unnecessary complexity.
REQUIREMENTS
Must-haves
🧑💻 Strong engineering background: You have solid full-stack or backend engineering experience and have built integrations, APIs, or automation pipelines in production environments.
🧩 Integration-building expertise: You can create custom nodes, extend existing integrations, and work confidently with APIs, authentication patterns, data models, and event-driven systems.
🔧 Product-minded technical execution: You can distinguish between a one-off customer workaround, a reusable node improvement, and a product feature worth escalating.
🤝 Customer-facing confidence: You’re comfortable working directly in customer environments and can build trust with engineers, operators, and non-technical stakeholders.
🗺️ Solution design skills: You can take a messy operational problem and turn it into a clean, practical technical design.
⚖️ Strong technical judgment: You know when to build, when to push back, and how to avoid gold-plating solutions that should stay simple.
✈️ Willingness to travel: You’re open to travelling roughly 30-50% of the time for on-site engagements.
⚡ Speed to productive: You can quickly understand new industries, tech stacks, and customer environments without needing everything to be neatly defined.
Nice-to-haves
🔁 Workflow automation experience: You have familiarity with n8n or similar workflow automation tools.
🏢 Enterprise deployment experience: You’ve worked with strategic enterprise accounts in complex technical environments.
🧱 Node or connector development: You’ve built custom nodes, connectors, plugins, SDKs, or reusable integration frameworks.
🚀 Forward deployed experience: You’ve worked in a forward deployed, solutions engineering, or similar role at a product-led technical organization.
📣 Product feedback experience: You’ve helped turn customer learnings into clear product feedback, roadmap input, or engineering specifications.
Why join us?
At n8n, you’ll be the founding Forward Deployed Engineer, helping define how we turn our largest enterprise deployments into long-term, referenceable success stories. Your work won’t sit in a demo environment — you’ll build production workflows with real users, influence our product roadmap, and create the playbooks that shape how this function scales.
You’ll join one of Europe’s fastest-growing startups at a moment of huge momentum, working with a remote-first team that values autonomy, speed, experimentation, and direct customer impact.
Sound like a challenge you’re excited to take on?
Apply now — and help us build the future of automation.
n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.
We can sponsor visas to Germany; for any other country, you need to have existing right to work.
Our company language is English.
You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).
Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future.
BENEFITS
- Competitive compensation 💸 – We offer fair and attractive pay.
- Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.
- Work/life balance 🏖️ – We work hard but ensure you have time to recharge:
- Europe: 30 days of vacation, plus public holidays wherever you are.
- US: 20 vacation days, 8 sick days, plus public holidays wherever you are.
- Health & wellness 🩺 –
- Europe: We provide benefits according to local country norms.*
- US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage.
- Future planning 💰 –
- Europe: We provide pension contributions according to local country norms.*
- US: 401(k) retirement plan with a 4% employer match.
- Financial security 🛡️ –
- Europe: We provide benefits according to local country norms.*
- US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones.
- Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.
- A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!
- Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.
- Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.
- Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.
*Country and/or State specific details provided in your employment agreement.
Location: Hyderabad, India
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
Notion is looking for a Forward Deployed Engineer focused on migrations to join our growing team in India. You will help deliver complex, production-grade data migrations, integrations, and automations for customers across APAC.
This is initially an internally focused, hands-on engineering role. You will partner closely with regional Forward Deployed Engineers, who own customer discovery, solution architecture, stakeholder communication, risk management, and final customer validation. You will own the behind-the-scenes technical execution layer from feasibility assessment and implementation through testing, production rollout, QA, reconciliation, reporting, and operational handoff.
You will work across multiple customer environments and source systems, often with incomplete requirements, imperfect data, and real-world constraints. Success requires strong engineering fundamentals, sound judgment, careful validation, and the ability to turn one-off delivery work into reusable tools and repeatable playbooks.
As a founding engineer in India, you will help build a new regional engineering capability from the ground up. You will create migration infrastructure, standards, and reusable tooling used by FDEs across APAC, while establishing practices that can scale globally. The role offers an opportunity to become a technical authority for production migration delivery, shaping how Notion approaches reliability, validation, and operational quality across complex customer environments. As the team grows, the role may also expand toward customer-facing FDE work, technical leadership, or a deeper engineering path, depending on business needs and demonstrated capability.
WHAT YOU'LL ACHIEVE:
- Own the technical execution layer after customer requirements, scope, and solution architecture have been established with the regional FDE. Contribute to feasibility assessment, estimation, implementation planning, and risk identification while the regional FDE remains accountable for customer discovery, scope, architecture, stakeholder communication, and final acceptance.
- Apply a repeatable migration lifecycle covering source inventory and sampling, scope and pruning decisions, compatibility and degradation assessment, transformation design, pilot or dry run, user acceptance testing, production cutover, reconciliation, remediation, hypercare, and documented handoff.
- Translate approved customer and regional FDE requirements into clear technical designs, implementation plans, test strategies, runbooks, and delivery estimates.
- Build production-quality migration utilities, backend services, data pipelines, integrations, and automations using Python, SQL, APIs, databases, and cloud infrastructure.
- Investigate source-system behavior, data quality issues, permissions, rate limits, authentication constraints, and edge cases, then recommend practical solutions.
- Design and validate permissions, ownership, and inheritance mappings against the approved migration plan. Make unsupported or ambiguous access requirements explicit, obtain the required decision or approval, and preserve evidence of validation.
- Design migrations for reliability, scale, security, observability, idempotency, failure recovery, and safe reruns.
- Execute migrations only through approved environments, devices, accounts, and tooling. Follow least-privilege access, customer-specific security and data-residency requirements, and approved handling procedures. Do not store customer data in unmanaged local or external systems, and escalate privacy, security, or sovereignty concerns before execution.
- Build validation and reconciliation frameworks that provide clear evidence of migration completeness, accuracy, and exceptions.
- Debug failures across application code, infrastructure, customer data, third-party systems, and the Notion platform, then drive issues through resolution.
- Manage multiple implementation workstreams, dependencies, and priorities while communicating scope, progress, risks, and trade-offs clearly.
- Surface scope changes, unsupported requirements, timeline risks, and material effort increases early. Document assumptions and trade-offs, and escalate with options and a recommended path rather than silently absorbing additional work.
- Maintain an auditable record of scope, decisions, risks, approvals, validation evidence, and customer acceptance criteria in the agreed shared workspace or channel.
- Convert repeated delivery patterns into reusable components, automation, documentation, and playbooks that improve speed, quality, and cost over time.
- Bring field learnings back to Notion's Product and Engineering teams as actionable platform feedback and technical requirements.
SKILLS YOU'LL NEED TO BRING:
- 3 to 6 years of hands-on experience in backend engineering, data engineering, integration engineering, implementation engineering, technical consulting, solutions engineering, or a similar technical role.
- Strong hands-on Python development experience.
- Working experience with Node.js, JavaScript, or TypeScript.
- Strong SQL skills and a solid understanding of relational databases, data modeling, and data transformation.
- Experience working with REST APIs, JSON, authentication, webhooks, and system integrations.
- Experience owning a production migration, integration, or technical implementation through mapping, transformation, testing, rollout, validation, and handoff.
- Experience taking a technical problem from requirements and design through development, testing, deployment, and production operation.
- Experience with Git, code review, automated testing, release practices, and production deployment.
- Strong debugging, analytical, and problem-solving skills across code, data, infrastructure, and external systems.
- Evidence of working on production systems, not only prototypes or proof-of-concept projects.
- Clear written and verbal English communication, with the ability to explain technical decisions, constraints, and risks to technical and non-technical stakeholders.
- High agency and ownership. You are comfortable making progress with incomplete information, challenging assumptions, and escalating with options and a recommendation.
NICE TO HAVES:
- Experience with Docker, Kubernetes, CI/CD, job orchestration, or infrastructure automation.
- Experience with AWS, GCP, or Azure.
- Familiarity with message queues, event-driven systems, distributed-system patterns, retries, concurrency, and rate limits.
- Experience with monitoring, logging, alerting, or other observability tools.
- Experience with enterprise SaaS applications, professional services, or large-scale customer implementations.
- Experience migrating large volumes of content or structured data between enterprise platforms.
- Experience with AI or LLM applications, retrieval-augmented generation, evaluation frameworks, or agentic workflows.
- Familiarity with MCP, tool calling, Notion Workers, Custom Agents, or similar extensibility platforms.
- Experience working with distributed global or APAC teams.
WHAT SUCCESS LOOKS LIKE:
In your first 90 days, you will:
- Learn Notion's migration and implementation ecosystem, engineering standards, and APAC delivery model.
- Establish a productive working rhythm with regional FDE partners.
- Contribute to at least one migration or integration workstream through production delivery.
- Leave behind clear technical documentation, validation evidence, and an operational runbook.
Within your first six months, you will:
- Independently own production migration or integration workstreams from technical design through rollout and handoff.
- Deliver measurable improvements in migration turnaround time, validation quality, delivery cost, or regional FDE execution hours through reusable engineering.
- Help establish repeatable quality controls, code review practices, runbooks, and observability patterns for the India team.
- Demonstrate effective prioritization and communication across multiple concurrent APAC engagements.
- Turn at least one repeated delivery pattern into a reusable tool, component, or playbook that is adopted by a subsequent engagement.
LOCATION:
This role is based in Hyderabad, India. We work from our offices on Mondays, Tuesdays, and Thursdays, our Anchor Days, because we do our best thinking and building together in person. We're looking for someone who's excited to work alongside the team during those days.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: San Francisco, California
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What’s the opportunity?
The Research, Analytics & Data Science (RAD) team at Intercom uses data and insights to drive evidence-based decision-making. We're a team of data scientists and product researchers who use data - both big and small - to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers.
We’re now seeing strong demand for data scientists who can apply their expertise directly with our most strategic customers. As a Forward Deployed Data Scientist, you’ll embed with customers to build Enterprise-grade Fin deployments. You’ll play a pivotal role in transforming how our most strategic customers scale customer support — working closely with them and our go-to-market teams to design, build, and implement data-driven solutions that unlock measurable impact. You’ll also feed insights from these frontline deployments back into Intercom’s product and strategy — helping shape the future of AI customer service.
This is a high-ownership role for someone who thrives in ambiguous environments, is energized by solving complex, real-world problems with data, and is motivated by seeing their work translate into both customer impact and product evolution.
What will I be doing?
Drive the adoption of Fin by helping customers automate and scale their support operations.
Embed with strategic customers to understand their support workflows, data, and business challenges — to identify and implement opportunities where AI can deliver measurable impact.
Steer customers toward best practices in measurement and AI adoption to realize the full value of Fin.
Partner closely with Sales, Success, and Product to deliver seamless customer experiences and successful deployments, and to create feedback loops that shape product development.
Use AI to prototype, test, and scale data-driven solutions, building tools that make us faster and more effective in driving Fin adoption and customer impact.
What skills do I need?
Proven ability to apply data science in real-world business contexts to drive measurable outcomes.
Strong collaboration mindset; skilled at working across Sales, Success, Product, and Engineering.
High adaptability and ownership: able to shift between deep technical analysis and high-level strategic framing.
Excellent communication skills, both technical and non-technical.
Rapid prototyping with systems thinking: you know when a customer needs a fast, bespoke answer, and when to build something others will keep using.
Excellent SQL and production-aware Python, you write code other people can run, not just code that runs once and are experienced applying analytical and statistical methods to real business problems.
Experience with AI/ML evaluation, LLM-driven applications, or conversational AI.
Willing to travel and work on-site with customers to build deep relationships and uncover insights firsthand.
Bonus skills and attributes
Experience in technical consulting, customer-facing analytics, or SaaS product data science.
Experience reframing the problem, not just solving it, you've spotted when the question you were handed wasn't the right one, and changed what got worked on.
Experience applying AI to scale the data science workflow.
*Proof of eligibility to work in the United States is required.
The base salary range for candidates within the San Francisco Bay Area is $206,600- $229,000. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Paris
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
As an Applied Engineering Intern, you will work closely with our Applied AI Engineering team to facilitate the adoption of Mistral AI products among customers and collaborate with them to address complex technical challenges. This role is based in Paris, with an internship duration of 6 months. We are open to CIFRE programs as a continuation after the internship.
What you will do
• Contribute to the deployment of state-of-the-art GenAI applications, driving technological transformation with our customers.
• Collaborate with researchers, AI engineers, and product engineers on complex customer projects.
• Work with the product and science team to continuously improve our product and model capabilities based on customer feedback.
How We Work in Applied AI
- We care about people and outputs.
- What matters is what you ship, not the time you spend on it
- Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
- Always ask why. The best solutions come from deep understanding, not from copying what worked before
- We say what we mean. Feedback is direct, timely, and given because we care.
- No politics. Low ego, high standards.
- We embrace an unstructured environment and find joy in it.
About you
• You are currently pursuing a degree in AI, data science, or a related field from a tier 1 engineering school or university.
• You have strong programming skills in Python.
• You are familiar with machine learning algorithms and natural language processing techniques.
• You hold basic understanding of MLOps and deploying machine learning use cases.
• You have good communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
Ideally you have:
• Experience with deep learning frameworks such as PyTorch.
• Familiarity with version control systems (e.g., Git) and Linux shell environment.
• Experience working in HPC Environments
• Publication record in AI or a related field
Location & work authorization: This internship is available only in France. Please apply only if you have the required work authorization to complete the internship in the relevant country for its full duration.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: 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 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.
As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.
Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.
You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.
Responsibilities
Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.
Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.
Provide white glove deployment support for Anthropic products in enterprise environments.
Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.
Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.
Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.
Travel frequently (25-50%) to customer sites to build in person with customers.
Be a champion for Anthropic’s mission in the field.
You May Be a Good Fit If You Have
4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting or product experience. Former technical founders are also encouraged to apply.
Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications
High agency with an ability to navigate ambiguity present in complex organizations.
High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.
Passion for advancing safe, beneficial AI systems through creative technical applications.
Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.
A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus.
Experience with enterprise IT systems and/or AI deployment patterns is a plus.
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:
£225,000
—
£255,000 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.
Location: Almaty, Kazakhstan
Workplace: OnSite
Why work at Higgsfield AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
About the role
We're looking for a Forward Deployed Creative to sit between the product and our enterprise clients. You run product demos and create live work on the Higgsfield platform together with the client's team, show how the tools solve their production challenges, and translate the language of film and advertising into the language of the platform, and back.
You come from production. You know what a commercial, a music video or a feature takes in time, money and people, and you have already delivered finished work with generative tools. You know why a shot works, and you can get that out of the models.
What you'll do
- Run product demos for brands and agencies: live, on real briefs, on the Higgsfield platform.
- Create live work together with the client's creative team, from first reference to finished piece.
- Set up a working pipeline for the client's team within a few hours, so they keep producing after you leave the room.
- Run workshops, demos and calls with creative directors and production leads, and make complex things simple.
- Translate the client's production problems into platform workflows, and the platform's capabilities into language film and advertising people understand.
- Build case studies and portfolios of results for the client and for our sales team.
- Bring product feedback back to the team in language developers understand: what is missing, what breaks, what the client needs next.
Your must haves
- 7 to 10+ years of production experience as a director, creative producer or DOP (director of photography), with a real body of work: commercials, music videos, feature films.
- Understanding of the production process, budgets and timelines, and of how agencies and brands operate from the inside.
- Deep hands-on AI video expertise: finished pieces delivered with generative tools, not "tried it". You understand prompting, references, character consistency and model limitations, and know how to work around them.
- Taste. You know why a shot works (lensing, lighting, composition, pacing) and can get that out of generative models.
- Strong verbal communication in English. You can run a workshop, a demo or a call with the creative director of a US brand and make complex things simple.
- Ability to teach: you can set up a working pipeline for a client's team in a few hours, not just show a beautiful result.
- Self-driven: you work directly with clients without constant oversight, set your own priorities and see things through to the result.
This is not the role for you if
- You are an AI enthusiast without real production experience.
- You are a traditional director who has not yet delivered finished work with generative tools.
- You are a strong creator who would rather make the work than teach others to make it.
- You need a detailed brief before you can start, and prefer not to own the outcome.
Nice to have
- Experience working with major brands or agencies on the creative or production side.
- Understanding of the B2B cycle: pilot, adoption, scale.
- Experience building case studies or results portfolios for clients and sales teams.
- Product feedback: you can articulate what a tool is missing in language developers understand.
- Having lived or worked in an English-speaking environment.
The deal
- Competitive salary in USD.
- On-site role in our Almaty office.
- Relocation to Almaty from anywhere: we sponsor and process your work permit, cover your flights, and provide temporary housing while you settle in.
- Full-time position.
Location: San Francisco, CA | New York City, NY
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
As a Deployment Manager on the Beneficial Deployments team, you will guide customers from a signed contract into a live, governed, and adopted deployment so that customers achieve tangible impact rather than simply incremental improvement with Claude. You'll guide organizations from contract signature to production deployment across Claude for Enterprise, Claude Code, and our API products, fundamentally changing how they work and deliver on their missions.
You'll be the technical hands that switch Claude on. Before any organization can drive adoption, before any champion can ship their first workflow, someone has to connect Claude to the customer's identity provider, get the right people provisioned into the right workspaces, and walk their CISO through how it all comes together. That's your work. You turn "we've signed the contract" into "our employees can log in, with the right access, under the right policies, the way our security team expects."
This is a high-leverage role where you'll pioneer scalable activation methodologies that enable hundreds of nonprofit customers to unlock transformative use cases and realize measurable outcomes at unprecedented speed. You won't just follow playbooks. You'll design the frameworks and repeatable processes that can be deployed consistently across diverse customer environments, and you'll shape them into programs that reach customers we could never serve one at a time.
You'll operate at the intersection of technical deployment, enablement, and program design. Some days you'll be in the weeds with a customer's IT team debugging a SAML assertion; other days you'll be stepping back to ask how the last ten deployments should change the next hundred. Your systems-thinking approach will directly shape how we activate customers, and your strategic management will ensure every customer achieves meaningful outcomes within their first 90 days. By identifying patterns across activations, you'll build replicable approaches to organizational change while maintaining the agility to customize solutions for each customer's unique transformation journey.
Responsibilities:
Own the complete activation journey from contract signature to production deployment, orchestrating cross-functional resources and customer teams to ensure rapid time-to-value across Claude for Enterprise, Claude Code, and API products.
Deploy Claude inside customer environments. Configure and troubleshoot SSO (SAML), SCIM and JIT provisioning, MCP connectors, admin policy templates, and seat-assignment logic across Okta, Entra ID, Ping, and Google Workspace. Deliver informative transitions to Support for deeper issues that require investigation or engineering support.
Act as a trusted advisor to customer CISOs and CTOs on governance and enterprise setup. Bring a clear point of view on best practices, help security and IT leadership make the design decisions that determine whether a deployment holds up over time
Light up the capabilities that make Claude valuable. Enable and govern MCP connectors to the customer's systems, ensure Skills, Projects, and other capabilities are turned on and configured for their use cases, and work with their IT team on the approvals and OAuth consent this requires, so that day one feels ready
Design and scale activation frameworks by identifying patterns across deployments and building templated playbooks that balance standardization with customization for breakthrough outcomes.
Turn playbooks into programs. Package what works into repeatable, increasingly self-serve motions (deployment checklists, admin enablement sessions, onboarding cohorts, Claude-powered guidance) so that activation quality no longer depends on you being in the room.
Drive organizational transformation by developing change management strategies, rollout plans, and Train-the-Trainer programs that build internal AI champions and catalyze adoption across customer organizations.
Define and track success metrics across activation rate, time-to-value, customer satisfaction, and operational efficiency, using data to continuously optimize the motion.
Channel customer insights back to Product, Support, and Security teams, serving as voice of the customer so that repeat deployment blockers get solved once.
You may be a good fit if you have:
5+ years in customer-facing technical roles such as implementation management, technical account management, technical onboarding, solutions consulting, or customer success, with a track record of running multiple concurrent enterprise deployments with documented handoffs.
Experience serving nonprofits or mission-driven organizations. You've worked with (or inside) them and you understand how they differ from commercial enterprises.
Hands-on, sustained ownership of enterprise identity integration work. SAML, OIDC, SCIM v2, and JIT provisioning across at least two major identity providers (Okta, Entra ID, Ping, Google Workspace). You can debug a broken SAML assertion or a misconfigured SCIM attribute map without escalating, and you know when a Support handoff is the right call.
Experience advising CISOs, CTOs, or IT leadership on enterprise governance and setup for a SaaS or AI platform, with an informed point of view on org topology, access models, RBAC, and OAuth.
Working knowledge of security and compliance frameworks (SOC 2, ISO 27001, HIPAA, GDPR) sufficient to anticipate what a customer's security review will ask, and to know when to bring in our AI Security Specialist.
You've designed, shipped, and measured programs that serve many customers at once: onboarding cohorts, enablement series, admin academies, lifecycle or engagement motions. You naturally ask "how might we scale this?", turn 1:1 moments into 1:many programs, and instrument what you build so you know what's working.
Hands-on fluency with AI in your own workflow. You've prototyped, generated content, analyzed accounts, or replaced internal processes with LLMs, and you can talk concretely about what worked, what didn't, and what's next. You don't wait for AI tooling to arrive; you build it.
Organizational change and enablement experience including developing rollout strategies, navigating stakeholder resistance, building internal champions, and designing programs that drive adoption at scale.
Comfort building in ambiguity. This is a new role on the team, and what you build becomes the template. You'll thrive creating structure where none exists, adapting quickly as the business evolves, and learning continuously.
Data-driven and metrics-oriented. Experience setting and tracking success metrics from day one, using data to optimize approaches, and demonstrating impact to diverse stakeholders.
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
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.
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.
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:
$200,000
—
$265,000 USD
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.
Location: Middle East; Dubai; United Arab Emirates; Saudi Arabia; Riyadh
Workplace: Hybrid
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
ABOUT NORTH:
North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
WHY THIS ROLE?
This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS.
We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI.
IN THIS ROLE, YOU WILL:
- Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout.
- Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices.
- Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations
- Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards.
- Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime.
- Travel to customer premises between 20-40%
YOU MAY BE A GOOD FIT IF:
- You have experience with and enjoy working directly with customers
- You have experience deploying enterprise software in private/hybrid cloud environments
- You have proven experience administering large-scale production Kubernetes clusters and expertise with Helm
- Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control
- You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization
- You excel in fast-paced environments and can execute while priorities and objectives are a moving target
- You are fluent in Arabic and English
IT'S A BONUS IF YOU HAVE…
- Familiarity with GPU node orchestration & scheduling
- You understand the intersection of GPU infrastructure, inference systems, Kubernetes, distributed systems, and performance optimization.
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: Germany
Workplace: Hybrid
FORWARD DEPLOYED ENGINEER, (F/M/X) GERMANY - HYBRID
THE ROLE
As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world.
You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it.
You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results.
This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification.
WHAT YOU’LL DO
- Embed with customers to understand their workflows, constraints, and measures of success.
- Turn loosely defined operational problems into clear technical plans and production systems.
- Design and build AI agents that integrate with customer tools, data, and business processes.
- Own deployments from prototype through launch, monitoring, and continuous improvement.
- Test with real-world data, measure business outcomes, and iterate based on evidence.
- Make pragmatic tradeoffs across architecture, reliability, speed, and user experience.
- Partner closely with Wonderful’s Product and Engineering teams to improve the core platform.
- Turn lessons from individual deployments into reusable tools, patterns, and best practices.
WHAT WE’RE LOOKING FOR
- 5+ years of experience building software or solving complex technical problems.
- Fluent German (C2) and English
- Strong foundations in software architecture, system design, and production engineering.
- Experience working across APIs, integrations, data flows, and distributed systems.
- The ability to bring structure and momentum to ambiguous problems.
- Confidence working directly with customers, from operational teams to technical stakeholders.
- Clear communication, sound judgment, and a strong sense of ownership.
- Genuine curiosity about applied AI and its potential to transform how businesses operate.
NICE TO HAVE
- Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role.
- Experience building AI agents, workflow automation, or conversational systems.
- Familiarity with LLM evaluation, observability, and reliability in production.
- Experience deploying and improving systems in complex enterprise environments.
If this sounds like the kind of work you want to do, we should talk.
Apply here. Everyone will receive a response.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Sydney
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
ROLE SUMMARY
As a AI Deployment Strategist, you will bridge the gap between vision and execution, ensuring our customers not only see the potential of AI but realize its value in their operations. This role is a unique blend of strategic advisory and hands-on deployment leadership, spanning both presales and postsales phases. You will act as a trusted advisor to C-suite executives, architecting AI solutions that drive transformation and delivering measurable business outcomes.
You will be embedded in our most strategic accounts, diagnosing business challenges, designing AI-powered solutions, and leading their deployment from concept to full-scale adoption. This role demands a rare combination of executive presence, technical credibility, and commercial acumen, with a focus on both winning and delivering high-impact AI initiatives.
WHAT YOU WILL DO
Strategic Advisory & C-Suite Partnership
• Serve as the lead strategic advisor for a portfolio of high-value enterprise clients, building trusted relationships with executive leadership (CEO, CTO, CIO).
• Lead C-suite workshops to diagnose business drivers and co-create multi-year AI transformation roadmaps aligned with corporate strategy.
• Develop and present compelling business cases and proposals, articulating the ROI of AI adoption and the value of Mistral’s platform.
Presales: Shaping the Vision
• Partner with sales and product teams to identify and qualify opportunities, positioning Mistral’s solutions as the catalyst for enterprise transformation.
• Design tailored AI strategies and proof-of-concepts that address critical business challenges and demonstrate tangible value.
• Act as a subject matter expert in client engagements, ensuring our solutions are understood, trusted, and adopted.
Postsales: Driving Deployment & Adoption
• Own the end-to-end success of AI deployments, from strategic planning to operational integration, ensuring solutions are embedded into the customer’s core workflows.
• Lead cross-functional teams of engineers, data scientists, and product managers to execute deployment roadmaps and deliver measurable results.
• Navigate organizational complexity and drive change management to ensure seamless adoption and long-term success.
Commercial Growth & Thought Leadership
• Identify and cultivate expansion opportunities within accounts, connecting Mistral’s capabilities to new business challenges and driving commercial growth.
• Mentor junior strategists and contribute to the development of best practices, methodologies, and playbooks for customer engagement.
• Represent Mistral AI as a thought leader through speaking engagements, executive briefings, and industry contributions.
ABOUT YOU
• You have 8+ years of experience in technical management consulting, enterprise technology, or a customer-facing strategic role, with a focus on AI/ML, data architecture, or digital transformation.
• You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.)
• You possess a deep, practical expertise in AI/ML concepts, enterprise data architecture, and modern software development with hands-on development of AI solutions—enough to credibly engage with technical teams and executives alike.
• You have a proven track record of engaging and influencing C-suite executives, with the ability to navigate complex conversations and align AI strategies with business objectives.
• You excel at structuring ambiguous problems into actionable programs and thrive in fast-paced, high-stakes environments.
• You are equally comfortable in presales and postsales: shaping deals, designing solutions, and ensuring their successful deployment.
• You have experience managing high-value accounts, understanding deal mechanics, and building compelling cases for investment.
• You are a collaborative leader who can motivate cross-functional teams and drive results through influence, not authority.
• You are open to frequent travel as the role demands
We are looking for adaptable, low-ego team players who are passionate about turning AI vision into reality and delivering transformative impact for our customers.
HIRING PROCESS
• Talent Acquisition screening call
• 30min Hiring Manager Interview
• 45min Business Acumen Interview
• 60min Technical Deep Dive on LLMs
• Panel (Home Prep & Restitution)
• 30min Value Talk
• Reference check
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
ОфисSan Francisco, CA; New York, NY
ГибридNew York Office
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New York, New York, United States; For applicants from the European Union, please review
УдалённоRemote - Europe
leadAmsterdam, Netherlands
УдалённоBoston; California; Pennsylvania; Florida; New York; Massachusetts; Virginia; Washington State; Colorado; New Jersey; Georgia; Texas
ГибридHyderabad, India
San Francisco, California
СтажёрParis; Location & work authorization: This internship is available only in France; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
London, UK
ОфисAlmaty, Kazakhstan; Relocation to Almaty from anywhere: we sponsor and process your work permit, cover your flights, and provide temporary housing while you settle in
San Francisco, CA | New York City, NY
ГибридmiddleMiddle East; Dubai; United Arab Emirates; Saudi Arabia; Riyadh; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
ГибридGermany
Sydney; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
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