Location: United States; Los Angeles, United States
Salesperson / Hard Money Loan Closer
Who We Are
LBC Mortgage
is a direct private lender specializing in
Hard Money, Bridge, DSCR, and Rehab loans
across the U.S. We move fast, structure smart deals, and close when others can’t. Our reputation is built on execution, relationships, and results.
If you’re a
true closer
who knows Hard Money inside out — this role is for you.
Who You Are
You are not “learning” Hard Money.
You’ve
closed deals
, handled tough borrowers, structured creative solutions, and know how to move files from
lead → approval → funding
without babysitting.
You thrive on:
Fast timelines
Complex deals
High commissions
Clear accountability
What You’ll Do
Close Hard Money loans
from start to finish — no hand-holding
Work directly with
brokers, investors, and repeat clients
Structure deals creatively to get them funded
Drive volume through
follow-ups, urgency, and relationship management
Collaborate closely with
processing and underwriting
to push files to the finish line
Build a strong personal pipeline while growing LBC’s production
Maintain clean, professional communication and CRM records
What You Must Have
Proven experience closing Hard Money loans
(this is mandatory)
Strong understanding of
LTV, ARV, rehab budgets, and investor strategies
Confidence handling objections and tight timelines
Ability to manage multiple deals at once without losing momentum
Professional, polished communication with brokers and clients
What We Offer
Aggressive commission structure
(for real closers only)
Strong underwriting & processing support
Fast decisions, direct access to leadership
Remote position — work from anywhere
A high-performance culture that rewards results, not excuses
This Role Is NOT For You If:
You’ve never closed a Hard Money deal
You need heavy training or micromanagement
You’re uncomfortable with pressure, pace, or accountability
Ready to Close?
If you’re a
producer
, not a talker — and Hard Money is your comfort zone — we want to hear from you.
Location: San Francisco, CA | New York City, NY | Seattle, WA
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
AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths -- every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects.
Reliability here is an emergent phenomenon that transcends any single team's boundaries, so someone has to zoom out and look at the whole picture. That's us -- and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most.
Responsibilities:
Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity
Design and implement monitoring and observability systems across the token path
Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud provider
Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements
Support the reliability of safeguard model serving -- critical for both site reliability and Anthropic's safety commitments.
You may be a good fit if you:
Have strong distributed systems, infrastructure, or reliability backgrounds -- we're looking for reliability-minded software engineers and SREs
Are curious and brave -- comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don't have deep expertise yet
Think holistically about how systems compose and where the seams are
Can build lasting relationships across teams -- our engagement model depends on being welcomed as teammates, not outsiders with opinions
Care about users and feel ownership over outcomes, even for systems you don't own
Have excellent communication and collaboration skills -- you'll be partnering across the entire company
Bring diverse experience -- the team's strength comes from people who've built product stacks, scaled databases, run massive distributed systems, and everything in between.
Strong candidates may also:
Have been an SRE, Production Engineer, or in similar reliability-focused roles on large scale systems
Have experience operating large-scale model serving or training infrastructure (>1000 GPUs)
Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium)
Understand ML-specific networking optimizations like RDMA and InfiniBand
Have expertise in AI-specific observability tools and frameworks
Have experience with chaos engineering and systematic resilience testing
Have contributed to open-source infrastructure or ML tooling.
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:
$325,000
—
$485,000 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.
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: Anywhere in France
Workplace: Hybrid
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
⭐️ MEDICAL LEAD - TELEMEDICINE ⭐️
Our Health Professionals team embeds clinical expertise across Alan's integrated model to deliver innovative healthcare services with quality, efficiency, and compelling differentiation.
We're scaling Alan's telemedicine offering to become a cornerstone of our integrated model - teleconsultations, medical chat, and AI agents working together to deliver exceptional care.
You'll grow and lead our team of 50+ health -professionals - General Practitioners (GPs), medical specialists, nutritionists, midwives, physiotherapists - across multiple telemedicine offerings and geographies. You will define clinical practices that balance excellence with effectiveness for optimal patient experience, embedding value-based healthcare principles throughout. Day to day, you will collaborate with a dedicated Ops team to monitor and drive excellence of those health services.
THE CHALLENGES
Lead and develop the team
- Scale and lead a remote-first team - recruit, onboard, and manage 50+ health professionals (primarily GPs), across geographies, fostering engagement around shared outcomes and integrated care.
- Establish a feedback culture - shape a medical team where professionals embrace peer feedback and case reviews for continuous improvement, in a supportive and benevolent environment.
- Establish medical governance and ensure quality & safety - set up clinical committees, case reviews, and incident management. Develop protocols aligned with national guidelines and Alan member first mindset, define appropriate teleconsultation use cases, ensure compliance.
Monitor and improve clinical practice
- Define clinical practices for integrated care - create telemedicine guidelines that optimize medical quality, patient experience, and cost-effectiveness across the care pathway.
- Drive outcomes that matter - establish metrics beyond process indicators: health impact, member experience, cost-effectiveness, and specific clinical patterns and contribute to their monitoring and analysis.
Contribute to shaping tomorrow's care
- Shape AI-augmented practice - collaborate with product teams to integrate AI effectively into clinical workflows
- Inform care navigation development within Alan - bring clinical expertise to guide patients toward optimal prevention and care pathways across Alan Clinic and external providers
⭐️ If you have some of the following, you may be a great fit ⭐️
CORE REQUIREMENTS:
- Medical degree (GP or relevant specialty), registered with French Medical Council, 5+ years post-qualification experience. Public health or digital health training is a plus.
- Fluent English and French; third language is a plus
- Team leadership experience - you've managed medical teams and/or coordinated complex cross-functional projects.
- Corporate healthcare experience (health tech, insurers, digital health) or public health sector outside hospitals. You grasp business and organizational dynamics, and collaborate naturally with non-medical teams.
- Digital health & telemedicine experience (Qare, Livi, Doctolib, etc.) with genuine excitement about AI as an enabler of better care
- Value-based healthcare experience - you've designed care pathways that balance clinical quality, patient experience, GP engagement, and cost-effectiveness in real-world settings. You proactively discuss healthcare economics and resource allocation, seeing thoughtful resource use as essential to good medicine.
HOW YOU WORK:
- You are entrepreneurial with bias for action - you thrive in fast-moving environments, make decisions with incomplete information, and iterate quickly
- You are a strong communicator and change leader - you embrace and foster feedback culture, bringing physicians along on change through empathetic challenge
PLUS:
- Experience in integrated care models or health insurance medical operations
- Track record scaling medical teams in growth environments
- Familiar with French telemedicine regulatory framework and healthcare system
Experience level: We're looking for physicians with 5-10 years of post-qualification experience
🙌 PERKS & BENEFITS
At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
Therefore, we offer:
- Fair rewards. Generous equity packages complement your base salary.
- Flexible Office. Amazing office space at our HQ, sponsored co-working hubs or a full-remote experience with home office equipment sponsorship, we want you to live where you’re the happiest.
- All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and Bose noise-canceling headphones.
- Flexible vacation policy and flexible working hours. organize your time as you wish.
- Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only).
- Transport. Country-specific commuter benefits.
- Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises.
- Personal growth through coaching: At Alan, coaching isn't just a perk - ****it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching.
Parental leave. Extended parental leave for all new parents.
Location: New York, NY; San Francisco, CA
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.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU’LL DO
- Write the playbook for onboarding and educating customers onto Sierra – both the Agent SDK and Agent Studio, our no-code platform.
- Lead the creation and execution of developer training and enablement programs.
- Build content that scales — including technical documentation, educational videos, onboarding paths, and sample repositories for SDK adoption.
- Develop and deploy AI Agents as an Agent Software Engineer, building the knowledge to become a world-leading expert on agent development.
- Work with our marketing teams to publish developer case studies and success stories to inspire and connect our growing technical community.
- One important aspect of this role is presenting educational content to customers, both live and on video. If you have recordings of any presentations you've given in the past, add links to one or two of your favorites here.
WHAT YOU'LL BRING
- Passion for helping customers across small and large enterprises learn to build exceptional AI Agents.
- Degree in Computer Science or related field, or equivalent professional experience.
- 4+ years of experience in hands-on software development of highly technical products or developer relations roles.
- Excellent written and verbal communication skills and a desire to apply them in hands-on training sessions.
- Desire, excitement, and enthusiasm for building an in-person, global community around developing AI Agents.
- Strong technical skills and familiarity with modern software development — especially developer tooling, SDKs, and APIs.
- Demonstrated experience in designing and executing technical training, certification, or community initiatives.
EVEN BETTER...
- Previous experience developing agents using open source tools like LangGraph or interacting with MCP servers.
- Familiarity with agent platforms, developer communities, or early-stage developer product ecosystems.
- Proficiency with TypeScript, and comfort with writing code in collaboration with agents like Claude, Codex or Cursor
- Experience collaborating across product, engineering, and go-to-market teams to launch strategic initiatives.
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 through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- 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 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 even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia
At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
JetBrains is evolving beyond standalone developer tools toward a unified, AI-native platform for software development.
AI is no longer just an assistant inside the editor – it is becoming an active participant in how software is planned, built, reviewed, and operated across teams and organizations. This shift introduces new challenges that cannot be solved at the level of individual tools alone: governance, security, cost control, observability, and coordinated work between humans and autonomous agents.
Our goal is to build a platform that enables companies to adopt AI in software development in a structured, scalable, and economically efficient manner without locking them into closed ecosystems. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments.
We are looking for an experienced ML leader who has created products with an ML backbone, weaving together research, technical excellence, and strong product focus.
We are seeking a professional who excels in three key areas: technology, product vision, and business operations. This role involves extensive cooperation with products across the company – both AI-native and just integrating AI.
In this role, you will:
Identify, prioritize, and champion high-impact AI projects that align with JetBrains' product strategy and deliver measurable business value.
Lead a team of about 50 people across multiple AI initiatives, including hiring and developing team leads, ML engineers, and MLOps specialists.
Set the technical direction for JetBrains’ ML roadmap, translating cutting-edge AI advancements into practical product innovations.
Ensure projects deliver on commitments and create measurable value.
Set technical standards, architectural direction, and best practices for ML development.
We’ll be happy to have you on our team if you have:
The ability to balance long-term R&D with short-term product needs.
A track record of shipping production ML systems that users actually use.
Experience building business cases for technical projects.
A deep understanding of modern ML infrastructure, LLMs, and AI tooling.
Outstanding stakeholder management skills and are comfortable working with senior leaders.
The ability to thrive in a fast-paced environment, effectively managing multiple projects simultaneously.
Excellent management and communication skills.
Attention to detail in everything you do.
We’d be especially thrilled if you have experience with:
Distributed training of multi-billion parameter models.
CI systems, workflow automation, and experiment tracking.
The Kotlin programming language.
#LI-KP1 #LI-HYBRID
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the
Recruitment Privacy Policy.
Location: Remote-Friendly (Travel Required) | San Francisco, CA
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
Anthropic is seeking an experienced Datacenter Controls Engineer to join our Datacenter Infrastructure team. In this role, you will design, implement, and optimize control systems that support our global datacenter infrastructure, enabling the reliable operation of AI at scale.
You will work on cutting-edge control systems managing critical datacenter operations including liquid cooling systems (CDUs/CDMs), HVAC, electrical power monitoring systems, and building automation systems. This position requires both technical depth in industrial automation and the ability to collaborate across disciplines to deliver integrated solutions for high-density AI compute infrastructure.
Responsibilities
System Architecture & Integration
Design and implement multi-site controls architecture across Anthropic's global datacenter facilities
Define network topology, redundancy, and high-availability requirements for control nodes and servers
Develop and maintain standardized frameworks for BACnet, Modbus TCP/IP, OPC-UA, MQTT, and SNMP communication layers
Ensure integration between control systems and enterprise networks while maintaining security boundaries and compliance with cybersecurity frameworks for industrial control systems
Control System Design & Implementation
Define, design, develop, and implement control systems for datacenter mechanical, electrical, and building management systems with focus on AI compute environments
Develop SCADA/BMS applications using platforms including Ignition, Niagara/Tridium, or similar HMI/supervisory systems
Select and specify instrumentation including sensors, transmitters, actuators, and control valves for liquid cooling loops, power distribution, and environmental monitoring
Data Collection & Visualization
Architect and supervise deployment of centralized telemetry systems capable of storing high-resolution time-series data from power, thermal, and environmental sensors
Develop intuitive dashboards and visualization layers using Ignition SCADA, Grafana, or comparable frameworks for facilities, operations, and engineering teams
Leverage control systems to enable performance insights, fault detection, and predictive maintenance capabilities
Construction Integration & Documentation
Participate in new design and construction projects to ensure controls and BMS standards are embedded from design through commissioning
Define and review controls and instrumentation specifications in architectural and MEP packages
Create comprehensive technical documentation including P&IDs, control narratives, sequence of operations, and commissioning procedures
Validate installed systems during commissioning for proper network configuration, protocol compatibility, and data visibility
Minimum Qualifications
Bachelor's degree in Engineering (Electrical, Controls, Mechanical, Computer) or equivalent practical experience
7+ years of experience in control systems design and implementation for industrial automation, building automation, or datacenter systems
Deep familiarity with industrial communication protocols: BACnet, Modbus TCP/IP, OPC-UA, MQTT, SNMP, Ethernet-IP
Experience with instrumentation selection, control panel design, and control system integration
Working knowledge of network architecture including subnets, VLANs, firewall rules, and IP management
Strong documentation skills and ability to work effectively in cross-functional teams
Preferred Qualifications
10+ years in datacenter, critical facilities, or mission-critical infrastructure environments
Experience with liquid cooling systems including CDUs, CDMs, and cooling tower control systems
Background in high-density rack integration environments and AI/ML compute infrastructure
Experience designing or deploying BMS/SCADA systems such as Ignition, Niagara/Tridium, Wonderware, or similar
Strong background in database integration (SQL Server, InfluxDB, PostgreSQL, TimescaleDB) and data logging architecture
Proficiency in Python or scripting for automation/configuration within SCADA/BMS frameworks
Experience deploying multi-site redundant controls servers with high-availability requirements
Professional Engineering (PE) license or vendor certifications (Schneider, Rockwell, Siemens)
Knowledge of relevant codes and standards: ASHRAE, NFPA, IEEE, ISA
Familiarity with Grafana, Node-RED, Ignition Perspective, or equivalent visualization tools
Experience bridging cloud orchestration systems with facility-level power controls and load management (e.g., DCIM, BMS, EPMS)
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:
$320,000
—
$405,000 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.
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: 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
Anthropic is looking for a Senior Partner Account Manager (PAM) to own our relationship with one to two of the world's largest global systems integrators. This is a general-management role disguised as an alliance role: you will set the multi-year joint strategy with the partner's C-suite, negotiate the strategic agreement that underpins it, and then build the machine — go-to-market, solution co-development, delivery readiness, and enablement at a scale of tens of thousands of practitioners — that turns Claude into one of the partner's largest and fastest-growing practices.
You will be measured on the size and health of the joint business: progress against a $1B+ Claude practice plan, Anthropic ARR sourced and influenced through the partner, certified and delivery-ready practitioners (50,000+), co-developed solutions in market with reference-able customers, and the depth of executive alignment on both sides.
Key responsibilities
Own the joint business.
Build and run a multi-year joint business plan with each GSI covering services bookings, Anthropic ARR, priority industries and geographies, investment, and headcount. Report on it to Anthropic and partner executive leadership quarterly.
Lead at the C-suite.
Be the primary Anthropic relationship owner for the partner's Group CEO, service-line and industry CEOs, CTO/Chief AI Officer, and Chief Learning Officer. Map and activate Anthropic executive sponsors, run CEO-level QBRs, and shape the partner's public AI narrative (earnings calls, analyst days, flagship events) around Claude.
Negotiate the strategic agreement.
Structure and close multi-year strategic collaboration agreements spanning consumption and resale commitments, co-investment and market development funds, co-marketing, IP and solution terms, and enterprise-wide internal deployment of Claude across the partner's own workforce.
Co-develop solutions.
Partner with Anthropic Product, Applied AI, and the GSI's CTO office to co-build industry and horizontal offerings, agentic and Claude Code delivery accelerators, and reference architectures; take them to market with named launch customers and published references.
Build a 50,000+ practitioner practice.
Design and land a certification and delivery-readiness system inside the partner — embedded in their academy/L&D, train-the-trainer led, tied to Claude Partner Network tier requirements — and hold the partner accountable to capability they build themselves rather than capacity Anthropic supplies.
Drive global co-sell.
Stand up joint account planning and pursuit governance with Anthropic field leadership across NA, EMEA, and APAC; personally engage on the largest strategic pursuits; ensure clean attribution through deal registration and CRM discipline.
Run alliance governance.
Establish and chair a joint steering committee with named workstreams (GTM, solutions, delivery readiness, enablement, marketing), clear owners on both sides, and a published operating cadence.
Lead through others.
Orchestrate a global virtual team of partner solutions architects, partner marketing, enablement, regional PAMs, and sales leaders; mentor PAMs across the team; scope and make the case for dedicated resourcing as the business scales.
Shape the program.
Bring the voice of the largest GSIs into Anthropic's partner strategy, Elite-tier program design, and product roadmap.
Minimum qualifications
15+ years in alliances, partner sales, or consulting leadership, including 8+ years owning a top-tier GSI relationship (e.g., IBM, NTT Data, Capgemini) at a hyperscaler or category-defining enterprise software/AI company — or the mirror-image role leading a hyperscaler/AI alliance from inside a GSI.
A track record of personally building or scaling a partner practice to $500M–$1B+ and tens of thousands of trained practitioners, with the joint business plan, governance, and metrics to show for it.
Demonstrated C-suite presence: you have set agendas with GSI Group CEOs and service-line leaders, and you can hold a strategy conversation and a commercial negotiation in the same meeting.
Experience negotiating and closing multi-year strategic collaboration agreements with nine-figure commitments.
Fluency in GSI economics — utilization, pyramid, offering margin, industry P&Ls, delivery-center models — and how a new technology practice actually gets funded and staffed inside one.
A strongly commercial orientation: you are a business driver first and a relationship manager second, and you are comfortable pushing a partner to invest in its own capability.
Global operating experience across NA, EMEA, and APAC, including time with India-based delivery leadership.
Low ego, high curiosity, and a habit of making the people around you better; you put the mission ahead of personal credit.
Preferred qualifications
Experience launching co-developed partner solutions with a product/engineering organization, including agentic or developer-tooling offerings.
Prior ownership of a large-scale partner certification or academy program.
Hands-on familiarity with Claude, Claude Code, LLM application architectures, and enterprise AI deployment and governance.
Experience at a high-growth company where the program was being built while the plane was flying.
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:
$300,000
—
$365,000 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.
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: San Francisco, CA | New York City, NY | Seattle, WA
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
Anthropic's Infrastructure organization is the engine that powers our mission. Every breakthrough in AI safety research and every interaction users have with Claude depends on the systems we build and operate: massive clusters for training frontier models, production infrastructure serving millions of users reliably, and developer platforms that help engineers move fast without breaking things.
As a Technical Program Manager for Infrastructure, you’ll work across multiple infrastructure domains to coordinate complex programs that have broad organizational impact. You’ll be solving novel scaling challenges at the frontier of what's possible, all while maintaining the security and reliability our mission demands.
This role is ideal for someone who thrives in ambiguity and believes their job is to make everyone around them more effective. You’ll partner closely with engineering leadership to drive strategic initiatives while ensuring seamless coordination between research, engineering, and product teams.
What you’ll do:
Developer Productivity & Tooling
Drive cross-functional programs to improve developer environments, CI/CD infrastructure, and release processes that enable rapid innovation while maintaining high security standards
Coordinate large-scale migrations and platform modernization efforts across engineering teams
Partner with teams to measure and improve developer productivity metrics, identifying bottlenecks and driving systematic improvements
Lead initiatives to integrate AI tools into development workflows, helping Anthropic be at the forefront of AI-assisted research and engineering
Infrastructure Reliability & Operations
Drive programs to establish and achieve reliability targets across training infrastructure and production services
Coordinate incident response improvements, post-mortem processes, and on-call rotations that help teams operate effectively
Establish metrics and dashboards to track infrastructure health, capacity utilization, and operational excellence
Cross-functional Coordination
Serve as the critical bridge between infrastructure teams, research, and product, translating technical complexities into clear updates for a variety of audiences
Consult with stakeholders to deeply understand infrastructure, data, and compute needs, identifying solutions to support frontier research and product development
Drive alignment on priorities and timelines across teams with competing constraints
You May Be a Good Fit If You
Have 5+ years of technical program management experience, with a track record of successfully delivering complex infrastructure programs in ML/AI systems or large-scale distributed systems
Have deep technical understanding of infrastructure systems—enough to engage substantively with engineers, identify technical risks, and add value beyond project tracking
Excel at creating structure and processes in ambiguous environments, bringing clarity to complex cross-team initiatives
Have strong stakeholder management skills and can build trust with both technical and non-technical partners
Are comfortable navigating competing priorities and using data to drive technical decisions
Have experience with developer productivity initiatives, CI/CD systems, or infrastructure scaling
Thrive in fast-paced environments and can balance strategic planning with tactical execution
Are obsessed with reliability, scalability, security, and continuous improvement
Have a passion for supporting internal partners like research to understand their unique needs
Are passionate about AI infrastructure and understand the unique challenges of building and operating systems at frontier scale
Experience with Kubernetes, cloud platforms (AWS, GCP, Azure), and ML infrastructure (GPU/TPU/Trainium clusters)
Background working with research teams and translating their needs into concrete technical requirements
Experience driving adoption of AI tools to improve engineering productivity
Familiarity with observability tooling and practices
Deadline to Apply:
None, applications will be received on a rolling basis.
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:
$290,000
—
$365,000 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.
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: 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
Anthropic is building the Applied AI team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Forward Deployed Engineers embed directly with strategic customers to ship production AI applications that solve real business problems. As this practice grows, we need a founding leader to build and scale it.
As the first FDE Manager, you'll own the team that sits at the frontier of enterprise AI deployment. You'll hire and develop a high-performing team of FDEs, set the technical and operational bar for customer engagements, and build the playbooks that turn one-off successes into repeatable patterns. You'll work hand-in-hand with Engagement Managers who own delivery logistics and stakeholder management, while you ensure your team is shipping quality code, growing technically, and representing Anthropic at the highest level in customer environments.
This is a player-coach role with a strong bias toward leadership. You'll stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters — but your primary impact will come from the people you hire, the standards you set, and the culture you create. You'll partner cross-functionally with Sales, Product, and Engineering to shape how Anthropic serves its most strategic customers, and your team's field insights will directly influence product direction.
This role requires someone who thrives in ambiguity and is energized by building from zero to one. You'll be defining what good looks like for FDE management at Anthropic — there is no existing playbook to follow.
Responsibilities
Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set a high bar for technical talent and customer instincts.
Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member. Create an environment where FDEs do the best work of their careers.
Staff and oversee customer engagements across your team's portfolio, making resource allocation decisions that balance customer needs, team development, and business priorities.
Collaborate with account teams and Engagement Managers during the pre-sales process to qualify engagements, scope work, and inform statements of work.
Review technical architectures and code produced by your FDEs, ensuring the team ships high-quality, production-ready solutions that solve real customer problems.
Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex issues alongside your team when needed.
Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field.
Define team OKRs that tie to customer success outcomes and product adoption goals. Create operational cadences — standups, retros, engagement reviews — that keep the team aligned.
Partner with Product and Engineering to translate field insights into product improvements. Serve as the voice of the customer in internal planning.
Travel to customer sites as needed (25-50%), particularly during engagement kickoffs and for your team's highest-priority accounts.
You may be a good fit if you have
10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting.
2+ years of people management experience within a services/post-sales/FDE organization with a track record of hiring, developing, and retaining strong engineers.
Experience building organizations from 0->1, not just inheriting an existing one.
Experience working directly with enterprise customers on technical implementations, including comfort navigating complex organizational dynamics.
Executive presence with the ability to move fluidly between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers.
Strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences.
Genuine excitement about building something new and defining what great looks like for a team that doesn't yet exist.
Why this role matters
You'll be a founding leader of a team that defines how enterprises adopt and scale AI. Your work will directly influence Anthropic's product direction, create reusable patterns for the broader customer base, and establish Anthropic as the trusted partner for AI transformation — all while advancing the responsible development of frontier AI systems.
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:
$320,000
—
$405,000 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.
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: 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
We are seeking a Finance Lead to own and support various data center strategic initiatives.
In this role, you will be a key partner to our technical teams, providing financial expertise and guidance as we build out our data center footprint. You will manage large, complex, and cross-functional transactions, working with internal stakeholders and external partners to responsibly drive data center expansion and de-risk our capacity plans. You will also work closely with our Capital Markets & Corporate Development teams on a wide range of strategic projects and financing-related initiatives.
Responsibilities
Strategic Projects
Lead strategic initiatives to support datacenter expansion and identify new potential areas of focus
Negotiate complex transactions with external counterparties and drive internal cross-functional alignment
Manage data center pipeline, partnering closely with FP&A leads to track and benchmark economics across the portfolio
Partner with Capital Markets & Corporate Development on datacenter project financing across the capital structure
Datacenter Financial Planning & Analysis
Own FP&A related to these initiatives, largely tied to tracking and forecasting capex and cash flow driven by your projects
Build detailed financial models to support strategic decision-making
Run budget-vs-actual on datacenter developer spend and site build budgets, tracking expected eventual spend against approved commitments
Partner with Accounting on contract operationalization, lease accounting, and close
You may be a good fit if you have:
7+ years of experience in strategic finance, infrastructure investing, private equity, or investment banking, preferably with datacenter, energy, real estate, or other infrastructure experience
Executed investments or M&A transactions, preferably with a focus on technology or digital infrastructure
Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial models
Comfort managing both internal and external stakeholders, including deeply technical business partners
A bias towards action, strong work ethic, and experience driving operational outcomes under tight timelines
Strong relationship building, business judgment, process management, and communication skills
Passion for Anthropic's mission to build safe, transformative AI systems
Strong candidates may also have:
Direct experience executing large-scale data center or compute-related transactions
Background in AI, ML, or high-performance, large-scale computing infrastructure
Experience in both investing and operating, within digital infrastructure or technology more broadly
Proficiency with financial modeling tools and languages (SQL, Python, Excel)
MBA or other advanced degree in finance, economics, or business
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:
$240,000
—
$325,000 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.
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: Berlin, Remote; Barcelona
Workplace: remote
Our Implementation team plays a key role in onboarding seamlessly new customers: they are working cross departments (Sales, Product and Customer Success) to understand and document client use cases and requirements and then translate them into the set-up and configuration of the 360Learning platform.
You will manage all phases of the implementation lifecycle, from sales turnover and kick off to handover to support. You will drive project management, define 360Learning platform architecture for our clients, facilitate integrations (flat files, API’s) and 3rd party apps, guide and provide assistance in order to ensure the successful deployment of their platform.
In addition, you will follow your customers' portfolio along their contract to increase product adoption, as well as to deliver Solutions complementary to the Product like platform audits.
Within 1 month, you will:
Become a Trello expert through our onboarding process
Understand our product offering through training
Master our platform and be able to support clients on basic requests through ticketing
Within 3 months, you will:
Start to onboard your own new clients:
Drive project management in order to ensure successful platform deployment from kick-off meeting, regular touchpoints until handover to support
Host functional and technical workshops with clients to support them in their platform customization and structuring
Within 6 months, you will:
Ensure the smooth 360Learning platform deployment for new clients
Successfully implement integration (SSO, third-party tools), deliver technical expertise on how to integrate their learning platform into their technical environment & troubleshooting
Be able to pitch the value of the 360Learning platform
Develop repeatable and scalable processes to improve project quality and delivery
Within 12 months, you will:
Onboard another Solution Deployment Manager
Contribute to our knowledge base to share best practices and lessons learned
Work with our partner ecosystem to strengthen the services proposed to our clients
The Skills Set
Minimum 4 years professional consulting experience, preferably in a customer facing role (Technical consultant, Technical Account Manager, Technical Project Manager, Implementation Project manager or Pre-sales Consultant)
Previous deployment experience of SaaS products, ideally HR related
Project management skills
Understanding and experience working with APIs, SSO configuration & troubleshooting
Solution-oriented, client-first mindset in everything you do
Ability to adapt to your audience, flexibility in tackling a conversation with highly technical stakeholders, and reducing complexity to more common terms with less technical stakeholders
Organized, structured, rational, analytical, able to manage priorities across multiple customer implementations
Fluent German, very good English proficiency (level B2)
Enthusiasm for our culture:
https://bit.ly/Convexity360L
Interview Process
Phone Screen with our Talent Acquisition Manager
Discovery Meeting with Solution Deployment Manager Coach
Case Study with the Coach and a Solution Deployment Manager
Clarification Meeting with a future team colleague
Culture Fit Meeting with our Chief HR Officer
Offer !
⇾ Get ready using our Knowledge Base:
https://bit.ly/42H1ggC
What We Offer
Compensation:
Package includes base salary, a variable component and equity 📈
Benefits:
Work From Home perks, medical insurance, 1 month parental leave for the second parent.
Balance:
Flexible hours, Total work from home possible anywhere in Germany 🏠
Diversity, Equity, and Inclusion
: We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact
Corporate Social Responsibility
: Review our CSR Charter:
360learning.com/blog/corporate-social-responsibility-charter
🌎🌏🌍
Culture:
A framework that will help you make an impact - envision our way of working and our Convexity Culture:
https://bit.ly/Convexity360L
& find out more about the teams, product and processes
https://bit.ly/42H1ggC
🚀👩🏻💻🏆
#LI-JS
Who We Are
360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place.
360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA.
Learning Includes Everyone.
In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!
Location: Dublin, IE
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
Claude has your back. AIRE has Claude's. Help us keep Claude reliable for everyone who depends on it.
AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths -- every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects.
Reliability here is an emergent phenomenon that transcends any single team's boundaries, so someone has to zoom out and look at the whole picture. That's us -- and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most.
Responsibilities
Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity.
Design and implement monitoring and observability systems across the token path.
Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud providers
Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements.
Support the reliability of safeguard model serving -- critical for both site reliability and Anthropic's safety commitments.
You may be a good fit if you
Have strong distributed systems, infrastructure, or reliability backgrounds -- we're looking for reliability-minded software engineers and SREs.
Are curious and brave -- comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don't have deep expertise yet.
Think holistically about how systems compose and where the seams are.
Can build lasting relationships across teams -- our engagement model depends on being welcomed as teammates, not outsiders with opinions.
Care about users and feel ownership over outcomes, even for systems you don't own.
Have excellent communication and collaboration skills -- you'll be partnering across the entire company.
Bring diverse experience -- the team's strength comes from people who've built product stacks, scaled databases, run massive distributed systems, and everything in between.
Strong candidates may also
Have been an SRE, Production Engineer, or in similar reliability-focused roles on large scale systems
Have experience operating large-scale model serving or training infrastructure (>1000 GPUs).
Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium).
Understand ML-specific networking optimizations like RDMA and InfiniBand.
Have expertise in AI-specific observability tools and frameworks.
Have experience with chaos engineering and systematic resilience testing.
Have contributed to open-source infrastructure or ML tooling.
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:
€235.000
—
€295.000 EUR
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.
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: Los Angeles, United States
Mortgage Loan Officer Position!
LBC Mortgage
is looking for a licensed
Mortgage Loan Officer
to work remotely or on-site in the North Hollywood office.
If you are a superstar on the phone and know how to convert leads to loans, we could be a great fit for each other.
What we offer:
We provide leads;
Access to our
90+ lenders
(wholesale and direct lender channels);
In-house DIRECT
Hard Money Fund
that we manage.
BE A DIRECT HARD MONEY LENDER!!!
Team of professional in-house processors-they will help you
structure deals
; loan officer assistant;
In-house
marketing team
: Editor, copywriter, social media, targeting, SEO, PPC;
In-house
Video Recording Studio
- record reels, videos, podcasts to promote yourself;
Custom CRM & Custom
App for Agents;
Training provided if you need more experience in Hard money or Conventional/Non-QM loans;
Requirements:
NMLS License
required
;
Knowledge of Conventional, FHA, and Non-QM
loan products
;
Experience with Hard Money would be a plus;
DRE License would be a plus.
Responsibilities:
Present and communicate company loan products and services;
Assist clients in completing loan applications and all necessary paperwork;
Conduct thorough reviews of client financial information to ensure loan eligibility;
Follow up, Follow up, Follow up.
We specialize in Non-QM Loans, Hard Money, Conventional, Government loans, Bank Statements, P&L, VOE, DSCR, Foreign Citizen loans, and more. Our closing ratio is 99%, if we take a deal we make sure it will be closed on time. We have been doing loans for 20 years. We make sure that our loan officers get
deals closed!
Currently licensed in CA, FL, TX, WA, IL, and NC. Hard Money loans and DSCR loans nationwide!
Location: Los Angeles, United States; United States
Mortgage Loan Officer Position!
LBC Mortgage
is looking for a licensed
Mortgage Loan Officer
to work remotely or on-site in the North Hollywood office.
If you are a superstar on the phone and know how to convert leads to loans, we could be a great fit for each other.
What we offer:
We provide leads;
Access to our
90+ lenders
(wholesale and direct lender channels);
In-house DIRECT
Hard Money Fund
that we manage.
BE A DIRECT HARD MONEY LENDER!!!
Team of professional in-house processors-they will help you
structure deals
; loan officer assistant;
In-house
marketing team
: Editor, copywriter, social media, targeting, SEO, PPC;
In-house
Video Recording Studio
- record reels, videos, podcasts to promote yourself;
Custom CRM & Custom
App for Agents;
Training provided if you need more experience in Hard money or Conventional/Non-QM loans;
Requirements:
NMLS License
required
;
Knowledge of Conventional, FHA, and Non-QM
loan products
;
Experience with Hard Money would be a plus;
DRE License would be a plus.
Responsibilities:
Present and communicate company loan products and services;
Assist clients in completing loan applications and all necessary paperwork;
Conduct thorough reviews of client financial information to ensure loan eligibility;
Follow up, Follow up, Follow up.
We specialize in Non-QM Loans, Hard Money, Conventional, Government loans, Bank Statements, P&L, VOE, DSCR, Foreign Citizen loans, and more. Our closing ratio is 99%, if we take a deal we make sure it will be closed on time. We have been doing loans for 20 years. We make sure that our loan officers get
deals closed!
Currently licensed in CA, FL, TX, WA, IL, and NC. Hard Money loans and DSCR loans nationwide!
Location: San Francisco, CA | New York City, NY | Seattle, WA
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
Safeguards Engineering builds and operates the infrastructure that keeps Anthropic's AI systems safe in production — the classifiers, detection pipelines, evaluation platforms, and monitoring systems that sit between our models and the real world. That infrastructure needs to be not just correct, but
reliable
: when a safety-critical pipeline goes down or degrades, the consequences can be serious, and they can be invisible until someone looks closely.
As a Technical Program Manager for Safeguards Infrastructure and Evals, you'll own the operational health and forward momentum of this stack. Your primary responsibility is driving reliability — owning the incident-response and post-mortem process, ensuring SLOs are defined and met in partnership with various teams, and making sure that when things go wrong, the right people know, the right actions get taken, and those actions actually get closed out. Alongside that ongoing operational rhythm, you'll coordinate the larger platform investments: migrations, eval-platform improvements, and the cross-team dependencies that connect them.
This role sits at the intersection of operations and program management. It requires genuine technical depth — you need to understand how these systems work well enough to triage effectively, judge what's actually safety-critical versus what can wait, and have informed conversations with the engineers building and maintaining them. But the core of the job is keeping the machine running well and the work moving.
What You'll Do:
Own the Safeguards Engineering ops review -
Drive the recurring cadence that keeps the team informed and coordinated: surfacing recent incidents and failures, bringing visibility to reliability trends, and making sure the right people are in the room when decisions need to be made. This is the heartbeat of how Safeguards Eng stays ahead of operational risk.
Drive incident tracking and post-mortem execution -
When incidents happen — and in this space, they happen regularly — you'll make sure they get followed through properly. That means tracking incidents across the organization (including those owned by partner teams like Inference), ensuring post-mortems get written, and most critically, making sure the action items that come out of them actually get done. Closing the loop on post-mortem actions is one of the highest-leverage things this role does.
Establish and maintain SLOs with partner teams -
Work with Safeguards Engineering teams and key partners — particularly Inference and Cloud Inference — to define service-level objectives for safety-critical pipelines. Then build the tracking and reporting that makes it possible to tell whether those SLOs are being met, and surface it when they're not.
Maintain runbook quality and incident-ownership clarity -
Safety-critical systems need clear playbooks for when things go wrong. Partner with engineering leads to keep runbooks accurate, actionable, and up to date — and ensure that ownership of incidents is unambiguous so that nothing falls through the cracks during an active incident.
Drive platform migrations and infrastructure projects -
Own the program management for the larger infrastructure work on the roadmap: migrating the infra from one platform to the next, moving from one incident platform to the next and from one cloud system monitoring to another, and other migrations as they come. These are cross-team efforts with real dependencies — your job is to keep them sequenced, on track, and connected to the teams that need them.
Coordinate evals platform improvements -
Partner with the evals engineering team to drive improvements to the evaluation platform — including self-serve capabilities and the broader eval factory infrastructure. Help scope the work, track dependencies on other Safeguards systems, and make sure the evals platform is keeping pace with the team's needs.
You might be a good fit if you:
Have solid technical program management experience, particularly in operational or infrastructure-heavy environments — you're comfortable owning a mix of ongoing operational cadences and discrete project work simultaneously.
Understand how production ML systems work well enough to triage incidents intelligently and have substantive conversations with engineers about what's going wrong and why — you don't need to write the code, but you need to follow the technical thread.
Are energized by closing loops. Post-mortem action items that never get done, SLOs that no one checks, runbooks that go stale — these things bother you, and you know how to build the processes and follow-ups that fix them.
Can work effectively across team boundaries — comfortable coordinating with partner teams (like Inference) where you don't have direct authority, and skilled at keeping shared work moving through influence and clear communication.
Thrive in environments where the work shifts between "keep the lights on" and "build something new" — and can context-switch between incident follow-ups and longer-horizon platform projects without dropping either.
Have experience with or strong interest in AI safety — you understand why the reliability of a safety-critical pipeline is a different kind of problem than the reliability of a product feature, and that distinction motivates you.
Strong candidates may also:
Have experience with SRE practices, incident management frameworks, or on-call operations at scale.
Have worked on or with evaluation infrastructure for ML systems — understanding how evals get designed, run, and interpreted.
Have experience driving infrastructure migrations in complex, multi-team environments — particularly where the migration touches operational systems that can't go offline.
Be familiar with monitoring and alerting tooling (PagerDuty, Datadog, or equivalents) and the operational culture around them.
Deadline to apply:
None, applications will be received on a rolling basis.
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:
$290,000
—
$365,000 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.
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: Hong Kong or Remote
Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities.
Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore
Have Fun
and
Is Motion Gaming Back?
, as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations.
Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities.
Important Notice:
⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in
@nex.inc
. If you receive a suspicious email or message, please do not respond and report it immediately to us.
Team: Metaverse Cell
Location: Hong Kong or Remote (Preferred: UTC +6 to UTC +10 – works well with Hong Kong hours)
Reports to: Art Director
The Role
We’re looking for a full-time, onsite or remote
Senior Game Environment Artist
to join our team and help create compelling environments for our interactive experiences. In this role, you’ll collaborate closely with the art director, concept artist, tech artist, programmers, and fellow artists to take environments from early concept through final in-engine implementation, with a strong focus on visual quality, performance, and gameplay readability.
As a senior artist, you’ll balance hands-on production with creative problem-solving, help establish visual standards, improve workflows, and support the team in delivering high-quality environments that reinforce gameplay, storytelling, and technical constraints. You’ll play a key role in shaping how our worlds look, feel, and evolve throughout development.
This role is ideal for someone who can work independently when needed, communicates clearly across disciplines, and enjoys taking ownership of environment quality and art pipelines.
What You'll Do
Create
high-quality 3D environments
from concept through final in-engine implementation, including architecture, props, and set dressing
Build, optimize, and maintain assets for
real-time performance
while preserving strong visual quality
Assemble, light, and implement environments in
Unity
Collaborate with the art director, concept artist, and tech artist to define and maintain the visual direction
Work closely with programmers to ensure environments meet technical and performance requirements
Contribute to world-building through strong composition, lighting, materials, and mood
Maintain clean, well-organized assets and follow established pipelines and performance guidelines
Provide constructive feedback and act as a knowledge base and mentor for other artists
Help maintain production pipelines while meeting schedules and deadlines
Contribute to defining and improving environment art pipelines and best practices
Set and uphold visual benchmarks and quality bars
What We’re Looking For
3+ years
of professional experience as an Environment Artist in games, with at least one
shipped title
A strong portfolio demonstrating environment art skills, including modeling, texturing, composition, and in-engine implementation
Proficiency with major 3D content creation tools such as
3ds Max, Maya, or Blender
, along with experience using
ZBrush
and the
Adobe texturing suite
Strong understanding of environment art fundamentals, including scale, proportion, composition, lighting, color theory, and environmental storytelling
Solid knowledge of environment art workflows, including modular asset creation, optimization, and real-time constraints
Working knowledge of
physically based rendering (PBR)
workflows
Proven ability to create high-quality 3D assets, including
hero props
, with strong attention to detail
Ability to balance visual quality with technical constraints and performance requirements
Experience working with modern game engines, particularly
Unity
(Unreal experience considered transferable)
Strong communication skills, with professional proficiency in
spoken and written English
Experience collaborating effectively across disciplines in a team environment
Comfort working remotely, independently, and across multiple time zones
A genuine passion for games and interactive experiences
Pluses
Experience contributing to
AA or AAA game titles
Ability to communicate in
Cantonese and/or Mandarin Chinese
Experience working across a range of art styles, including
stylized, realistic, and anime-inspired
Experience and knowledge in hand-paint textures.
Interest in or familiarity with
sports-themed games or interactive experiences
Experience optimizing visual quality and performance for
low-power or constrained hardware
We Offer
Competitive compensation package.
Flexible working hours and vacation policy.
Product-driven culture that treasures talents and individual growth.
Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field
Nex is located in
San Jose, California, USA
and
Hong Kong
. Learn more about us at
https://www.nexplayground.com/about
.
We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms!
Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination.
We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.
Location: Winhöring, Germany; Raubling, Germany; Grainau, Germany; Friedrichshafen, Germany; Kempten, Germany; Ulm, Germany
Do you have a refined appreciation for high-end performance vehicles and the customer experience that surrounds them? Are you familiar with the standards, service, and atmosphere expected in luxury automotive environments? If so, this exclusive opportunity may be a great match for you.
Become a Luxury Automotive Experience Evaluator
As a Luxury Automotive Experience Evaluator, you’ll be invited to visit premium automotive showrooms and provide expert feedback on the customer journey. Your perspective, shaped by your familiarity with premium vehicles and elevated service expectations, helps global automotive brands refine and perfect their experience.
Why This Opportunity Is Ideal for Automotive Enthusiasts
Exclusive access:
Participate in highly selective showroom experiences designed for individuals who understand the nuances of premium automotive brands.
Engage with performance craftsmanship:
Step inside refined automotive environments and interact with brand specialists who showcase engineering, design, and innovation.
Use your experience to influence the industry:
Your expectations and insights as someone familiar with luxury products will directly contribute to enhancing the customer journey.
What You’ll Do
Choose assignments that fit you – Select missions aligned with your interests, preferences, and profile.
Experience the showroom journey – Interact with product experts, explore the space, and evaluate service with a trained eye for luxury.
Observe every detail – Assess the ambiance, level of service, digital and in-store interactions, follow-up communications, and the complete customer journey.
Share honest, professional feedback – Submit your observations through structured questionnaires on our platform.
How to Apply:
To become an evaluator with us, follow these simple steps:
Register on and receive an email with your credentials.
Log into our platform and tell us more about yourself. Once this is done, our team will verify your profile and contact you.
Check the ‘welcome package’ and pass the general certification.
You’re now ready! You are now available for assignments and can browse and apply for any opportunities that interest you.
About CXG
CXG partners with leading luxury brands in over 70 countries, supported by a global network of 80,000+ evaluators. With nearly two decades of expertise in luxury customer experience, we focus on elevating the standards of the world’s most prestigious brands.
Join us on
CXG Live
, our platform where you can access exclusive missions, complete certifications, and submit your insights.
Requirements
Must be 18 years of age or older.
Good understanding of the automobile industry.
Passionate about automobiles and improving customer service and retail environments.
Enjoy interacting with people.
Has a keen eye for discreetly observing and noting various aspects of your shopping experience.
Own a car and has a driving license.
Ability to provide unbiased, honest feedback without personal biases and be prompt in filling out online surveys.
Benefits
This is a
freelance
, project-based position
Flexible working hours
ГибридleadГеография найма не уточнена
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
seniorNex employees may be expected to collaborate with colleagues across different time zones; Location: Hong Kong or Remote (Preferred: UTC +6 to UTC +10 – works well with Hong Kong hours); Comfort working remotely, independently, and across multiple time zones
