seniorCanada - Remote; Germany - Remote; United Kingdom - Remote; United States - Remote; We are unable to provide visa sponsorship or relocation for this role
Location: Espoo
Workplace: Hybrid
Role highlights:
- Smart Manufacturing Engineer, SW & Electronics
- Location: Espoo, Finland
- Department: Global Manufacturing Organization
- Reports to: Smart Manufacturing, Team Leader
- Employment type: Permanent
- Workplace model: Hybrid
- Employment is subject to applicable security screening (incl. SUPO, where required)
Why this role matters:
As a Smart Manufacturing Engineer, SW & Electronics, you will help ensure our satellites can be tested reliably and efficiently before they are launched to space. You will design and own Electrical Ground Support Equipment (EGSE) and satellite‑level test systems that combine electronics, embedded software and automation. Your work will directly support AIT and Production teams, keeping critical test setups running while building the next generation of EGSEs to scale ICEYE’s manufacturing.
Who We Are
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy – day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring (including oil-spill detection), and finance, contributing to global security and community resilience.
ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.
Your day-to-day responsibilities
- Support AIT and Production teams in running and troubleshooting RF, electronics and satellite‑level test setups, especially in your first months.
- Design, develop and maintain EGSE systems that combine electronics, embedded software and Python-based test automation.
- Capture requirements and define architectures for new test systems together with AIT Engineering, Production and other Engineering teams.
- Implement and debug embedded C/C++ code on ARM‑based MCUs (e.g. STM32, TI), including bring‑up, interface control and communication with instruments.
- Design or adapt electronics for EGSE (schematics, interfaces, power, measurement paths) and work with mechanical engineers on the overall solution.
- Use Python and tools like PyVISA to automate instruments, collect data and improve test workflows.
- Write clear, maintainable documentation and user guides so others can operate and maintain the systems you build.
- Contribute to improving existing legacy test setups, increasing reliability, repeatability and ease of use.
- Collaborate closely with other Smart Manufacturing engineers (mechanical, electronics, software) and share knowledge within the team.
What we’re looking for
Must haves:
- 5+ years of experience in electronics / embedded systems / test development, ideally in complex or high‑reliability products.
- Hands‑on experience with ARM‑based MCUs (e.g. STM32 or TI), including embedded C/C++ development and debugging.
- Practical experience designing or modifying electronics for test or control (schematics, interfaces, power, signal integrity basics).
- Strong Python skills for test automation, scripting and instrument control (e.g. PyVISA or similar).
- Familiarity with Altium Designer (or similar) for PCB design
- Comfortable using common lab and RF test equipment such as oscilloscopes, PSUs, multimeters, power loads, VNAs and spectrum analyzers.
- Ability to work onsite in Espoo in labs and production areas, including hands‑on support when issues arise.
- Strong communication and documentation skills, and a collaborative mindset
- Experience with satellite or spacecraft EGSE, nanosatellites or other space/aerospace test systems.
Nice to haves:
- Exposure to RF test setups (antennas, payloads, RF front‑ends) beyond the basic use of the instruments.
- Experience in automation, robotics or similar domains where HW+FW+SW test systems are common.
- Familiarity with KiCad, STM32CubeIDE, GCC/GDB or similar toolchains.
- Experience developing and standardizing test setups, including documentation and process improvements.
Application Process
- TA screen
- Hiring manager interview
- Technical interview + take‑home task
- Final onsite interviews
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us - we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: San Francisco, CA | 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 production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. Decisions in production training depend on knowing how the model is really behaving. Our team's mission is to have the best observability into production post-training runs at Anthropic: to be the clearest, most trusted view of model quality during training. We shape what gets measured, keep the signal trustworthy and timely, and get to the bottom of surprising results to inform post-training and release decisions.
In this role you will lead the science of how we evaluate production training runs. You'll work out which measurements tell us something real about the model, notice when they stop doing so, and find what we should be measuring but aren't. You'll partner with research teams across every RL domain, bringing their priorities into what we measure and setting the standard for what makes an eval trustworthy across post-training. You'll also be hands-on with the eval fleet day to day, because the best questions about measurement come from watching real results come in during a live run.
Responsibilities
Steer the eval strategy for production Claude models: study and optimize the eval mix so it gives the most accurate and complete assessment of model quality
Run and monitor the eval fleet live to understand how each Claude model is developing as it trains
Advise teams across post-training on eval methodology, and help eval authors bring new evals up to the bar for production
Investigate regressions in production runs and inform training interventions when appropriate
Build the dashboards, alerts, and reports that researchers and leadership use to track model quality
You may be a good fit if you
Have designed, run, and analyzed evaluations for ML models at scale
Care deeply about measurement quality, thinking twice before trusting a number
Can turn ambiguous results into clear recommendations, and are comfortable influencing direction across teams
Have strong Python skills and are comfortable working with production systems
Maintain clarity and rigor when debugging complex, time-sensitive issues
Thrive in controlled chaos and are energized, rather than overwhelmed, when juggling multiple urgent priorities during a live training run
Care about the societal impacts of your work and about shipping frontier models responsibly
Strong candidates may also have
Hands-on experience post-training large language models
Research experience in ML evaluation or benchmarking
Background in statistics and experimental design
Experience developing robust evaluation metrics for ML 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:
$500,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Hong Kong; Singapore; Dubai, United Arab Emirates
About Hex Trust
Hex Trust is a fully-licensed digital asset financial institution building the infrastructure institutions use to operate in crypto. Custody, staking, capital markets, investment solutions, payments, fiat ramping, RWAs, and tokenization — all on one regulated platform.
Founded in 2018, we're licensed across multiple jurisdictions (HK, SG, Dubai, SVG). As institutional capital moves into crypto and the RWA and payments narratives accelerate, we're one of the few players who can serve institutions as a fully-regulated, one-stop-shop partner. We serve 600+ institutional clients globally: funds, family offices, banks, foundations, token issuers, payment firms, OTC desks, and corporates.
We're well-capitalized, growing consistently, and built on a sustainable model. We operate 24/7 from hubs in Hong Kong, Singapore, Dubai, and Vietnam.
You'll work alongside a senior commercial team, own real institutional relationships, and get exposure to the most active parts of the market. We're scaling fast. If you want to sell into the institutional side of crypto at a firm that's actually licensed to do it, this is the place.
Position Summary
We offer an attractive, formula-based, uncapped bonus structure tied directly to originated revenue, paid quarterly.
We are looking for a VP / Director Custody/WaaS Sales professional with a strong network in the crypto institutional space. The ideal candidate has been part of a fast-growing crypto business, has consistently generated custody/WaaS revenues, and has converted relationships into recurring flow and assets under custody.
This is a pure origination role with high autonomy and direct impact on revenue from day one. You will own the commercial cycle end-to-end: prospecting, onboarding coordination, and ongoing client coverage.
The platform is proven, the licenses are real, and we have the right to win in many of the deals you'll work on. We expect the person in this seat to succeed.
Duties & Responsibilities
Own the full commercial cycle: prospecting, qualification, structuring, closing, and ongoing client coverage.
Identify and win new clients, business opportunities, and markets to grow custody volume, AUC, and revenue - this is a hunting role.
Translate Hex Safe's technical edge (sub-1s cold signing, API-first, DeFi connectivity, native staking, multi-account / multi-user / hyper-customizable approvals) into commercial wins.
Work with product team, client operations, compliance, legal to deliver smooth onboarding.
Feed product, marketing, and leadership with market intelligence and client signal that shapes the roadmap.
Requirements
7-10 years of institutional sales or BD experience.
At least 2-3 years in crypto, ideally selling Wallet-as-a-Service, custody, prime brokerage, or related institutional crypto infrastructure.
Deep understanding of the crypto custody landscape and infrastructure.
Proven track record of onboarding and growing institutional client accounts and exceeding sales targets.
Strong communication and interpersonal skills, with the ability to explain complex products clearly to senior stakeholders.
Fluent English is required. Mandarin is a strong plus for HK and Singapore-based candidates.
Highly organized and self-driven, comfortable in fast-paced, high-stakes environments.
Benefits
As one of the leading Web3 innovators,
Hex Trust
offers a front-row seat in the ever-changing blockchain & crypto industry. We genuinely believe that people are our greatest asset, and invest heavily so they’re best prepared to support our mission to unlock ownership in decentralized markets! You will be joining a company that is always committed to creating a supportive & inclusive environment that promotes personal and professional growth that furthers your success and drives innovation, collaboration, and passion in the blockchain space.
At Hex Trust, we are proud of our
H.E.X.
culture:
Heart
Empowerment
Xcellence
Join us at Hex Trust and not only can you look forward to working with blockchain professionals to build the decentralized future, but also:
Competitive Salaries & Bonuses
Generous Amounts of Paid Time Off (incl. leave for Birthdays, Work Anniversary, and Mental Health etc.)
Access to Corporate Discounts and exclusive Employer Perks
Medical & Retirement Plans
Professional Learning and Development Opportunities
Modern tools and technology to do your best work
Claude Enterprise access for all employees, with connectivity to all our internal tools and access to Claude Chat, Cowork, and Code
Fun & friendly office spaces in Hong Kong, Singapore, Dubai and Vietnam
Regular company & social events
Hex Trust is an equal-opportunity employer devoted to diversity and inclusion in the workplace. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.
Location: Hybrid - San Francisco
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
We are looking for a Head of Field Engineering Operations to join our Revenue Operations team. You'll be a strategic partner to the VP of Field Engineering and build the systems, processes, and team that help our Field Engineering organization scale.
You will build and lead a team while constantly asking how we can use better tooling, smarter automation, and tighter feedback loops to make the organization faster and sharper.
You will report to the VP of Revenue Operations. If you’re based within a pre-determined commuting distance of one of our offices (SF, NYC, or Austin), the role includes in-office anchor days on Monday, Tuesday, and Friday. For location-specific details, please connect with our recruiting team.
What you'll do
Design the processes, systems, and operating cadences that let Solutions Architects, Developer Success Engineers, Customer Success Engineers, Technical Account Managers, and Professional Services scale
Build and lead the Field Engineering Operations team, and set team structures, role definitions, and engagement models as Field Engineering grows
Run capacity planning, territory design, and resource allocation across the Americas, Europe, the Middle East and Africa (EMEA), and Asia-Pacific (APAC), in step with go-to-market (GTM) teams
Own the pre-sales to post-sales lifecycle framework, including technical win and onboarding forecasts, go-live tracking, and consumption ramp measurement
Define the Field Engineering metrics, dashboards, and health scoring models that show team performance, account engagement, and customer outcomes
What you need
8+ years in operations, strategy, or technical program leadership supporting field engineering, solutions, or customer-facing technical teams at high-growth SaaS companies, including 3+ years building and leading teams
Built operational frameworks for pre-sales and post-sales technical teams, including territory planning, capacity modeling, and compensation design, at companies with $100M+ annual recurring revenue (ARR)
Hands-on Salesforce administration and architecture, including custom objects, flows, reporting, and integrations with ecosystem applications
Partnered with VP-level technical leaders to turn org priorities into operational plans, delivered with Sales, Finance, Product, and Revenue Operations
Bonus if you
Built an operations function from the ground up within a Field Engineering or Solutions Architecture organization
Owned post-sales lifecycle management for a consumption-based pricing model, including onboarding funnels and customer health scoring
Wrote SQL for ad hoc analysis and shipped internal tools or automation, including AI-driven workflows, for a go-to-market team
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $260,000-$300,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
#LI-KS1
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: București, Romania
Workplace: hybrid
EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide.
But that's not all! We're not just about numbers, we're about people. With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're all united by our love for innovation and teamwork.
Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time.
We are looking for a highly driven and execution-focused Head of Operations to lead the day-to-day performance of our Live Casino business within PlayMatrix!
This role is responsible for running a tight, efficient, and scalable live casino operation—ensuring 24/7 delivery, optimizing costs, and maximizing studio revenues. You will own operational performance across studios, workforce, and service delivery, turning strategy into disciplined execution.
What You’ll Own:
Studio Efficiency & Cost Optimization
Optimize cost structures across studios, including staffing, scheduling, and resource allocation.
Closely monitor and improve key metrics such as:
Cost per table / per shift
Staffing ratios
Studio utilization
Identify inefficiencies and implement initiatives to reduce operational costs without impacting quality.
Maximize revenue generation from live casino studios through:
Table performance optimization
Capacity utilization
Market-specific adjustments
Operational Performance & Delivery
Drive operational discipline, consistency, and reliability in game delivery.
Ensure seamless 24/7 live casino operations across all studios and markets.
Lead incident management, escalation handling, and rapid resolution processes.
Maintain clear KPIs, SLAs, and performance tracking across all operational layers.
Compliance & Risk Management
Ensure full adherence to gaming regulations, licensing requirements, and internal policies.
Partner with Compliance and Legal teams on operational governance.
Maintain strong fraud prevention and risk control practices.
Scalability & Execution
Oversight of new studio launches and High level Technical understanding of what it takes to launch a new studio
Ensure operational readiness and smooth execution of growth initiatives.
What We’re Looking For:
8+ years of experience in operations, with strong exposure to high-volume, 24/7 environments.
Experience in live casino similar real-time operations is crucial.
Proven track record in cost optimization and operational efficiency.
Experience managing large, shift-based teams.
Strong operator mindset: structured, disciplined, and results-driven.
Highly analytical, with a focus on metrics, performance, and continuous improvement.
Ability to balance cost efficiency with quality and revenue outcomes.
Hands-on leader who can dive into operational details when needed.
Strong stakeholder management across Operations, Tech, Product, and Commercial teams.
Comfortable working in fast-paced, high-pressure environments.
Here's What We Offer:
Start with 22 days of annual leave, with 2 additional days added each year, up to 32 days by your fifth year with us.
Hybrid work schedule is available after the first three months of employment, with up to 50 days of work from home per year.
Benefit from two Free Fridays each year, limited to one per quarter.
3 sick leave days per year, no doctor's note required.
Daily catered lunch or monthly lunch allowance.
Private Medical Subscription.
Access online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training.
Access to an Employee Assistance Program through TELUS Health.
Our office perks include parking, on-site massages, and frequent team-building activities in various locations. And did we mention our amazing office space complete with its own pool and gym?
At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference!
EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.
Location: Athens
Workplace: Hybrid
About the company:
KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe.
About the role:
We are looking for an ML Team Lead to join Kiefer Tech and lead our ML Engineering team.
In this role, you will lead the development and continuous improvement of Sophea AI, our Greek-focused Large Language Model. You will work across LLM training, fine-tuning, ASR, inference optimization, model validation, and production-grade ML systems.
Beyond the model itself, you will help shape the ML Engineering function at Kiefer Tech: define clear ownership, strengthen team workflows, raise technical standards, and ensure complex ML initiatives are delivered with accountability, clarity, and strong execution.
What you will do:
- Lead the ML Engineering team working on Sophea AI and set a clear technical direction for its development
- Own delivery across core ML workstreams, including LLM training, fine-tuning, ASR, inference optimization, model validation, and production-grade ML systems
- Build a stronger operating model for the ML function: improve workflows, clarify ownership, strengthen decision-making, and remove execution blockers
- Turn the ML roadmap into clear priorities, accountable workstreams, and measurable outcomes aligned with product and business goals
- Mentor ML engineers, develop team capabilities, and bring stronger engineering practices, tools, and research-driven approaches into the team’s daily work
What you will need:
- Proven experience leading ML Engineering teams or complex ML workstreams in high-performance, fast-moving environments
- Deep technical background in LLMs, ASR, and production-grade ML systems, including pre-training, training from scratch, fine-tuning, reinforcement learning, model validation, and performance improvement
- Strong understanding of inference optimization, model quantization, and serving frameworks such as vLLM, SGLang, NVIDIA Triton, NVIDIA Dynamo, or similar tools
- Ability to bring structure into ambiguous environments: clarify ownership, improve workflows, and drive execution across several ML workstreams
- High autonomy, strong communication skills, and the ability to follow current AI research and translate relevant tools, methods, and trends into team practice
Nice to have:
- Experience with MLOps infrastructure, model serving pipelines, GPU workload management, and experiment tracking
- Contributions to open-source ML projects or published research in AI/ML
- Familiarity with real-time inference systems or event-driven ML architectures
What is there for you:
- Compensation: highly competitive package aligned with AI talent benchmarks across Europe and the US
- Ownership: high-impact leadership role with real influence on the ML Engineering function at Kiefer Tech
- Work format: remote work option, with relocation support available for candidates open to working from our Athens office
- AI-native environment: real challenges across LLMs, ASR, GPU workloads, and advanced AI product development
- NVIDIA ecosystem: access to related conferences, certifications, internal knowledge sharing, and advanced AI infrastructure through Kiefer’s strategic collaboration
- Culture: engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products
Location: Mexico; Colombia; Costa Rica; Argentina; Brazil; Chile
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech.
Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are hiring a Senior Sales Development Representative for a high-impact, revenue-focused role. This role goes beyond booking meetings and requires full ownership of the sales pipeline, contributing directly to closed deals.
You will be responsible for outbound prospecting, conducting discovery calls, nurturing leads, and closing high-ticket deals within the AI and automation space. This is ideal for experienced sales professionals who excel in both hunting and closing.
Key Responsibilities
Own the full sales cycle: prospecting, outreach, discovery, and closing
Execute high-volume outbound campaigns via cold calling, email, and LinkedIn
Identify and engage decision-makers across various industries
Conduct high-quality discovery calls to uncover client needs and position AI automation solutions
Manage and track pipeline using CRM tools and sales platforms
Consistently meet and exceed revenue and performance targets
Collaborate with leadership to refine outreach strategies and messaging
Utilize tools such as LinkedIn Sales Navigator, Apollo, and ZoomInfo for lead generation
Maintain strong client relationships and ensure a professional, consultative sales approach
Requirements
Minimum 3+ years of high-ticket sales experience (non-negotiable)
Proven track record in closing deals and driving revenue, not just setting appointments
Strong expertise in cold calling, objection handling, and discovery
Experience managing the full sales pipeline end-to-end
Background in selling services, preferably in tech, AI, or automation
Familiarity with CRM systems and sales engagement tools
Experience with lead generation platforms and outbound prospecting tools
Excellent communication and presentation skills; confident in client-facing interactions
Self-driven, target-oriented, and comfortable in a fast-paced startup environment
Benefits
🌎 Fully remote role with flexible working hours
🚀 Work with high-growth international companies
📈 Clear career progression to Account Executive and beyond
🎯 Performance-based bonuses and incentives
🤝 Direct hire with global clients (not outsourced)
🧠 Ongoing training, mentorship, and sales development support
Location: Europe
Workplace: Remote
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.
Linear is becoming a much broader product than people realize. With agents, mobile workflows, and new modalities, there’s a growing gap between what Linear can do and what people think it can do. This role exists to close that gap.
We’re looking for someone who will live inside the product, discover what’s possible, and show the world. That means figuring out the most compelling use cases for Linear’s AI agent, demonstrating real workflows that teams can adopt, and getting those stories out through whatever format works best, whether that’s a tweet, a video, a blog post, or a live demo at a conference. The goal is to help people understand what they can actually do with Linear and make that feel concrete and exciting.
Think of it as a product-obsessed marketer who is genuinely technical and knows how to communicate with depth.
Location & work mode
Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in the US and Europe. You can work from anywhere within those regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.
What you’ll do
- Deeply understand Linear’s product, especially our AI agent and newer capabilities, and continuously discover productive, real-world use cases that teams would care about
- Create content that demonstrates those use cases, whether that’s short-form social, blog posts, video walkthroughs, or live demos. Format follows the story, not the other way around
- Build relationships with engineering and product-focused creators and collaborate on content that feels authentic rather than sponsored
- Work with our video team to produce technical product content that comes across with genuine depth
- Partner with support, sales, and product on developer-facing documentation and educational content
- Stay plugged into the conversations happening on X, in newsletters, and at events, and make sure Linear has a voice in the ones that matter
What we’re looking for
- Someone technical. You get code, understand how software gets built, and can talk about it credibly
- Deep product intuition. You’re the kind of person who picks up a tool and immediately starts exploring what’s possible. You think in workflows and use cases rather than features
- Comfortable on camera and on stage. You can demo a product, record a walkthrough, or speak at a conference without it feeling forced.
- Twitter/X smart. You know how to use the platform, you understand what’s interesting to the people we’re trying to reach, and you can participate in the conversation with credibility
- Curious and self-directed. You’re already finding the next interesting thing to talk about on your own, already following the right people and noticing the opportunities
- Able to create video content end to end. You should be able to script, record, and edit a product walkthrough or demo without needing to hand it off to someone else
What we offer
We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:
- Competitive salary and equity
- Employee-friendly equity terms including early exercise in the US and extended exercise windows
- Daily meal and coffee stipend on every workday
- Paid co-working space or desk
- Health coverage (based on country requirements)
- 5 weeks paid vacation, plus local statutory holidays
- 4 months paid parental leave
- Paid month off after 4 years & every 2 years thereafter
- Regular team events and off-sites
- Remote-first with no required commute
Learn how we think and work
- A story about our mission: Read Me https://linear.app/readme
- Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear
- How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear
- Our CEO and co-founder, Karri at 20VC: How to Grow Capital Efficiently in a World of BS Growth https://www.youtube.com/watch?v=4vqDYkuzbSM
- Make an Org Chart You Want to Ship — Advice from Linear on How Heirloom Tomatoes Should Inspire Team Design https://review.firstround.com/make-an-org-chart-you-want-to-ship-advice-from-linear-on-how-heirloom-tomatoes-should-inspire-team-design/
- Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear
- A video series: Conversations on Quality https://linear.app/quality
- Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear
A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.
Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
Location: North America; Europe
Workplace: Remote
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.
Linear is becoming a much broader product than people realize. With agents, mobile workflows, and new modalities, there’s a growing gap between what Linear can do and what people think it can do. This role exists to close that gap.
We’re looking for someone who will live inside the product, discover what’s possible, and show the world. That means figuring out the most compelling use cases for Linear’s AI agent, demonstrating real workflows that teams can adopt, and getting those stories out through whatever format works best, whether that’s a tweet, a video, a blog post, or a live demo at a conference. The goal is to help people understand what they can actually do with Linear and make that feel concrete and exciting.
Think of it as a product-obsessed marketer who is genuinely technical and knows how to communicate with depth.
Location & work mode
Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in the US and Europe. You can work from anywhere within those regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.
What you’ll do
- Deeply understand Linear’s product, especially our AI agent and newer capabilities, and continuously discover productive, real-world use cases that teams would care about
- Create content that demonstrates those use cases, whether that’s short-form social, blog posts, video walkthroughs, or live demos. Format follows the story, not the other way around
- Build relationships with engineering and product-focused creators and collaborate on content that feels authentic rather than sponsored
- Work with our video team to produce technical product content that comes across with genuine depth
- Partner with support, sales, and product on developer-facing documentation and educational content
- Stay plugged into the conversations happening on X, in newsletters, and at events, and make sure Linear has a voice in the ones that matter
What we’re looking for
- Someone technical. You get code, understand how software gets built, and can talk about it credibly
- Deep product intuition. You’re the kind of person who picks up a tool and immediately starts exploring what’s possible. You think in workflows and use cases rather than features
- Comfortable on camera and on stage. You can demo a product, record a walkthrough, or speak at a conference without it feeling forced.
- Twitter/X smart. You know how to use the platform, you understand what’s interesting to the people we’re trying to reach, and you can participate in the conversation with credibility
- Curious and self-directed. You’re already finding the next interesting thing to talk about on your own, already following the right people and noticing the opportunities
- Able to create video content end to end. You should be able to script, record, and edit a product walkthrough or demo without needing to hand it off to someone else
What we offer
We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:
- Competitive salary and equity
- Employee-friendly equity terms including early exercise in the US and extended exercise windows
- Daily meal and coffee stipend on every workday
- Paid co-working space or desk
- Health coverage (based on country requirements)
- 5 weeks paid vacation, plus local statutory holidays
- 4 months paid parental leave
- Paid month off after 4 years & every 2 years thereafter
- Regular team events and off-sites
- Remote-first with no required commute
Learn how we think and work
- A story about our mission: Read Me https://linear.app/readme
- Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear
- How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear
- Our CEO and co-founder, Karri at 20VC: How to Grow Capital Efficiently in a World of BS Growth https://www.youtube.com/watch?v=4vqDYkuzbSM
- Make an Org Chart You Want to Ship — Advice from Linear on How Heirloom Tomatoes Should Inspire Team Design https://review.firstround.com/make-an-org-chart-you-want-to-ship-advice-from-linear-on-how-heirloom-tomatoes-should-inspire-team-design/
- Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear
- A video series: Conversations on Quality https://linear.app/quality
- Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear
A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.
Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
Location: London, UK; Ontario, CAN; Remote-Friendly, United States; 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.
Anthropic Fellows Program overview
The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience.
Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on project aligned with our research priorities, with the goal of producing a
public output
(e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers. We run multiple cohorts of Fellows each year and review applications on a rolling basis.
Submit your application to the Economics & Policy workstream at the bottom of this page.
We are accepting applications on a rolling basis for the next cohort expected to start in January 2027. In some circumstances, we can accommodate fellows starting outside the usual cohort timelines — please note in your application if the January 2027 start date doesn't work for you.
What to expect
4 months of full-time research
Direct mentorship from Anthropic researchers
Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)
Substantial funding for compute and other research expenses
Interview process
The interview process will include an initial application, assessments, and interviews. We may ask for references later in the process as well.
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.
Compensation
The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).
The Anthropic Institute Fellows (Economics & Policy)
Mentors, research areas, & past projects
Fellows will undergo a project selection & mentor matching process. Potential research areas and mentors include:
Economics
Maxim Massenkoff
Peter McCrory
Policy, Security, and Society
Jack Clark
Marina Favaro
Jim Baker
Projects in this workstream may include:
Designing and conducting empirical research on AI's economic effects, drawing on external data sources
Developing new methodological approaches for studying AI's impact on labor markets, the future of work, and society
Analysing the offense–defense balance for AI-enabled cyber and bio capabilities as models scale
Measuring the extent to which model performance increases with custom harnesses
Identifying market driven mechanisms that could improve societal resilience to anticipated threats from AI systems
Identifying which metrics relating to AI R&D could serve as early warning signals for recursive self-improvement
For past project examples, see:
How AI Impacts Skill Formation
: Judy Shen and Alex Tamkin
Stress-Testing Model Specs Reveals Character Differences among Language Models
: Jifan Zhang, Henry Sleight, Andi Peng, John Schulman, and Esin Durmus
Unique candidate criteria
You might be a particularly great fit for this workstream if you:
Have an interest in economics or policy research; prior experience in this area is a plus but not required
Are adaptable and collaborative, able to take direction and contribute to team priorities rather than needing to pursue a predetermined research agenda
Are skilled at writing up and communicating your results, even when they're null or unexpected
Are passionate about translating research insights into actionable recommendations for improving AI systems and informing policy
You may be a good fit if you:
Are motivated by making sure AI is safe and beneficial for society as a whole
Are excited to transition into AI research and would be interested in a full-time role at Anthropic
Strong track record of empirical research
Thrive in fast-paced, collaborative environments
Can implement ideas quickly and communicate clearly
Candidates must be:
Fluent in Python programming
Available to work full-time on the Fellows program
Logistics - Fellows Program
Submit your application to the Anthropic Institute Fellows at the bottom of this page.
Logistics Requirements:
To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.
Workspace Locations:
We have designated shared workspaces in SF.
We are also open to remote fellows in the UK, US, or Canada
.
Visa Sponsorship:
We are
not
currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada.
Program Duration:
The program runs for 4 months, full-time. If you can't commit to the full duration, please still apply and note your constraints in the application. We review these requests on a case-by-case basis.
The below are Anthropic's policies for full time roles. These do NOT apply to the Fellows Program.
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: North America
Workplace: Remote
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.
Quality is our competitive advantage. Every member of our fully remote team is a maker at heart, caring deeply about the quality and feel of our work. While the industry optimizes for speed and metrics alone, we believe that craft and quality have lasting value. Quality creates gravity — it pulls people toward our team and product rather than requiring us to push. This philosophy drives everything we do, from product decisions to hiring choices.
For this role, we expect robust design skills, sharp product thinking, and the ability to engage in technical discussions. We work in small, autonomous project teams, where engineers are paired tightly with designers to explore ideas, build prototypes, deploy internal builds, and ultimately ship to customers. You will be a key element of projects from beginning to end.
Location & work mode
Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.
What you'll do
- Pair closely with engineering and product to initiate and complete roadmap projects, no hand-offs
- Spot opportunities to redesign or refine key screens and flows, as well as smaller quality issues and “paper cuts” as you use Linear
- Create mockups, prototypes, and high-fidelity visuals to communicate ideas and describe their execution
- Guide and inspire fellow designers through collaborative critique of work-in-progress
- Use and improve our lightweight design system components
- Help with hiring new teammates that can elevate our team and product
What we’re looking for
- 7+ years experience designing software
- Courage to ask questions, experiment, and advocate for what you feel is right
- Humility to accept feedback, adapt your thinking, and iterate toward the best solution
- Experience with prototyping in Figma (and beyond with tools like AI, HTML/CSS, Origami)
- Ability to distill problems and feedback, then design clear, focused solutions
- Effective written and verbal communication skills — much of our work is async
What we offer
We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:
- Competitive salary and equity
- Employee-friendly equity terms including early exercise in the US and extended exercise windows
- Daily meal and coffee stipend on every workday
- Paid co-working space or desk
- Health coverage (based on country requirements)
- 5 weeks paid vacation, plus local statutory holidays
- 4 months paid parental leave
- Paid month off after 4 years & every 2 years thereafter
- Regular team events and off-sites
- Remote-first with no required commute
Compensation
For US-based candidates, the expected cash compensation range for this role is $220,000—$268,250. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear.
Learn how we think and work
- Part I https://linear.app/blog/a-design-reset and Part II https://linear.app/blog/how-we-redesigned-the-linear-ui of how we redesigned the Linear UI
- Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear
- Read me https://linear.app/readme a story about our mission
- Why and how we do work trials https://linear.app/blog/why-and-how-we-do-work-trials-at-linear Linear blog post
- How we use AI in design https://designerfund.substack.com/p/ai-design-linear feature of Linear's design team
- Crafting quality that endures https://www.youtube.com/watch?v=pCil7YNhNCU Config keynote by our Co-founder & CEO, Karri Saarinen
- Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear
A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.
Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run.
Responsibilities
Build and improve the RL training infrastructure that researchers depend on day-to-day
Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed
Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster
Own the reliability and performance of research runs end-to-end
Contribute to design decisions that shape how Anthropic does RL at scale
You may be a good fit if you
Have strong software engineering fundamentals and a track record of building performant, reliable systems
Have worked on ML infrastructure, distributed systems, or research tooling
Care about enabling other people's work and find leverage through platforms rather than individual experiments
Are comfortable operating across the stack, from low-level performance work to RL algorithms
Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego
Strong candidates may also have
Experience with large-scale distributed training (RL, pre-training, or post-training)
Familiarity with JAX, PyTorch, or similar ML frameworks
A track record of operating at the edge of research and infra in a fast-moving environment
Deadline to apply:
None. Applications will be reviewed 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:
£370,000
—
£630,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote-Friendly (Travel-Required) | 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
The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run.
Responsibilities
Build and improve the RL training infrastructure that researchers depend on day-to-day
Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed
Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster
Own the reliability and performance of research runs end-to-end
Contribute to design decisions that shape how Anthropic does RL at scale
You may be a good fit if you
Have strong software engineering fundamentals and a track record of building performant, reliable systems
Have worked on ML infrastructure, distributed systems, or research tooling
Care about enabling other people's work and find leverage through platforms rather than individual experiments
Are comfortable operating across the stack, from low-level performance work to RL algorithms
Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego
Strong candidates may also have
Experience with large-scale distributed training (RL, pre-training, or post-training)
Familiarity with JAX, PyTorch, or similar ML frameworks
A track record of operating at the edge of research and infra in a fast-moving environment
Deadline to apply:
None. Applications will be reviewed 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:
$500,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote; New York, NY; San Francisco, CA
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
*Preferable to have someone near one of our offices in NYC or San Francisco, but open to hiring around the US for the right candidate.
Join the frontier of shaping generative AI video and its legal landscape as an early lawyer at Runway. We are looking to hire a Commercial Counsel who has a strong background in B2B SaaS customer negotiations. Other nice-to-have experience includes: legal operations, privacy, and strategic IP-heavy partnerships, and product counseling. You are a self-starter who thrives at getting things done in fast-paced, unstructured environments. You have a passion for helping companies build and bringing scalable initiatives across our commercial and other legal workstreams.
While the role is in large part focused on the commercial legal function, you might also bring to the table generalist experience across domains such as data privacy, vendor negotiations, and compliance. You will serve as a strategic thought partner to cross-functional teams from sales to partnerships to marketing and to the Runway Executive Team. Comfort working within a highly technical, rapidly evolving area of the law is a must.
WHAT YOU’LL DO
- Lead negotiations with Runway’s customers and strategic partners. These include B2B SaaS customer contracts for our generative AI SaaS platform and APIs, DPAs, partnership agreements, and vendor agreements.
- Implement commercial processes, tools, and infrastructure to help us scale, including improving templates, playbooks, contract review automation, and our legal tech stack
- Empower the sales team with tools and knowledge to close deals quickly
- Dive into the technical aspects of our generative AI products to learn them inside and out, to inform your advice to the business
- Closely follow technical, legal, and policy developments in the generative AI space
WHAT YOU’LL NEED
- A J.D. and admission in good standing with at least one state bar
- 3+ years of negotiating complex technology transactions, including 1+ years negotiating B2B SAAS customer contracts on a commercial legal team at a fast-paced late stage private or mid-sized public B2B SaaS company
- In addition to B2B SaaS customer contract negotiations, experience with data privacy, legal operations, strategic IP-heavy partnerships and preferably B2C legal issues are nice-to-have
- Bias for action and a willingness to take ownership
- Growth mindset that prioritizes continuous operational improvement and service excellence
- Experience with scaling business processes globally and operating in environments that have achieved significant scale
- Excitement about generative AI and motivation to continuously learn more about the legal landscape governing a new and exciting industry
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: United Kingdom
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, and established brands across industries such as SaaS, MarTech, FinTech, and Beauty & Wellness. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team.
About the Company
Our client is a rapidly growing beauty and wellness brand focused on delivering premium products and services across the UK market. With a strong presence in the haircare, skincare, and self-care space, they are expanding their outbound sales team to drive partnerships with salons, retailers, and distributors.
Job Summary
We’re looking for a high-performing Sales Development Representative with proven experience in the beauty, haircare, or wellness industry. This is a fully remote sales role ideal for someone who understands the nuances of selling into salons, spas, and beauty retailers across the UK.
You’ll be responsible for outbound prospecting, lead generation, and booking qualified meetings for the senior sales team. This role requires strong relationship-building skills, industry knowledge, and a results-driven mindset.
Key Responsibilities
Conduct outbound prospecting via cold calls, email, and LinkedIn to UK-based beauty businesses (salons, clinics, retailers).
Identify and qualify leads within the beauty/hair/wellness space.
Book high-quality discovery calls and product demos for Account Executives.
Build and manage a consistent pipeline using CRM tools (e.g., HubSpot, Salesforce).
Research target accounts and personalise outreach strategies.
Collaborate closely with marketing and sales teams to refine messaging and campaigns.
Track outreach performance and optimise conversion rates.
Requirements
Must be UK-based with strong understanding of the local beauty/wellness market.
3+ years of SDR/BDR or outbound sales experience.
Proven experience selling into beauty, haircare, skincare, or wellness industries (essential).
Strong cold calling and outbound prospecting skills.
Experience using CRM platforms (HubSpot, Salesforce, or similar).
Excellent communication and relationship-building abilities.
Self-motivated, target-driven, and comfortable working remotely.
Experience engaging with salon owners, spa managers, or retail buyers is highly desirable.
Benefits
💰 Competitive salary performance-based commissions
🌎 Fully remote role with flexible work environment
🚀 Work with a fast-growing beauty & wellness brand scaling across the UK
🎯 Performance-driven incentives and bonus structure
🤝 Structured onboarding and ongoing sales training through Huzzle
🔒 Long-term opportunity with stability and growth potential
Location: Espoo; Berlin
Workplace: Hybrid
- Senior DevOps Engineer – Core Platform Engineering
- Location: Espoo, Finland / Berlin, Germany
- Department: Platform & Release Engineering - Engineering
- Reports to: Infrastructure Engineering Lead
- Employment type: Permanent
- Workplace model: Hybrid / Office
- Employment is subject to applicable security screening (incl. SUPO)
WHY THIS ROLE MATTERS:
As a Senior DevOps Engineer, you’ll design and operate the core platform foundations that power ICEYE’s products, enabling secure, scalable, and reliable services across cloud and on-prem environments.
WHO WE ARE
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience.
ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Design, operate, and evolve core platform components including Kubernetes, ingress, service mesh, and secrets management
- Build and maintain reusable infrastructure modules using Terraform across AWS and on-prem environments
- Define and implement observability standards, including metrics, logs, traces, dashboards, and alerting
- Partner with product teams to guide platform adoption and enable scalable, platform-aligned architectures
- Automate platform lifecycle processes including provisioning, upgrades, and scaling
- Improve platform reliability, performance, and security through continuous iteration
- Support and mentor engineers on best practices in Kubernetes, networking, identity, and observability
- Reduce operational overhead through tooling, automation, and improved platform abstractions
WHAT WE’RE LOOKING FOR
MUST HAVES:
- 5+ years of experience in DevOps, SRE, or Platform Engineering roles operating production systems
- Strong hands-on experience with Kubernetes, including cluster operations, networking, and lifecycle management
- Solid understanding of AWS fundamentals including networking, IAM, compute, and storage
- Experience with infrastructure as code using tools such as Terraform
- Practical experience with observability, including SLOs, metrics, logs, traces, and alerting
- Proficiency in at least one backend language such as Python or Go
- Strong Linux systems knowledge and troubleshooting skills
- Ability to collaborate across teams and communicate effectively in English
NICE TO HAVES:
- Experience with Rancher, Istio, External Secrets, or Vault
- Experience operating in restricted or air-gapped environments
- Experience with identity systems such as FusionAuth or SSO integrations
- Experience in regulated or mission-critical environments
- Experience with hybrid infrastructure across AWS and on-prem platforms
APPLICATION PROCESS
- Recruiter interview
- Hiring manager interview
- Task Assignment
- Technical interview
- Final interview
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help.
Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: New York City, NY; Remote-Friendly (Travel-Required) | San Francisco, CA | Washington, DC; 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 sits at the frontier of AI development, which makes us one of the most interesting targets in the world for nation-state and advanced criminal actors. The Threat Intelligence function within our Detection & Response team exists to make sure we see them coming. As a Threat Intelligence Engineer, you'll be a hands-on practitioner responsible for producing the actionable intelligence that drives our detections, hunts, and defensive priorities. You'll track the adversaries most likely to target a frontier AI lab, build the tooling and pipelines that turn raw indicators into operational defenses, and work shoulder-to-shoulder with detection engineers and incident responders to make sure intelligence actually changes outcomes. This is a builder's role on a small, high-leverage team — you'll have broad latitude to shape how threat intelligence is collected, analyzed, and operationalized at Anthropic.
Responsibilities:
Research, track, and report on threat actors and campaigns targeting AI labs, cloud infrastructure, and the broader technology sector — producing timely, actionable intelligence for Security Engineering stakeholders
Build and maintain tooling and automated pipelines to collect, enrich, correlate, and operationalize indicators of compromise into our detection and alerting stack
Develop and execute intelligence-driven threat hunts across endpoint, cloud, identity, and SaaS telemetry, and turn findings into durable detections
Perform technical analysis of malware, phishing infrastructure, and attacker tooling to extract indicators, TTPs, and attribution signals
Partner with Detection Engineering and Incident Response to translate intelligence into detection rules, hunting hypotheses, and incident context in near-real-time
Curate and triage inbound intelligence from commercial feeds, open source, government, and trusted peer relationships — prioritizing what matters for Anthropic's threat model
Contribute to threat models and risk assessments that inform security architecture and defensive investment across the enterprise
Build and maintain external intelligence-sharing relationships with peer companies, ISACs, and government partners
You may be a good fit if you:
Have 5+ years of hands-on experience in cyber threat intelligence, threat hunting, or intrusion analysis at an organization facing sophisticated adversaries
Have deep, demonstrable knowledge of specific nation-state or advanced criminal threat actors — their tooling, infrastructure patterns, tradecraft, and targeting
Are a strong engineer: you write production-quality Python (or similar), have built automation and data pipelines, and don't need to hand requirements to someone else to get tooling built
Are comfortable performing malware analysis, infrastructure analysis (passive DNS, certificate pivoting, netflow), and log analysis to develop and validate your own findings
Have experience authoring detection logic (YARA, Sigma, Snort/Suricata, or SIEM-native queries) and understand what makes a detection durable vs. brittle
Can write clearly and concisely — your intelligence products are read and acted on, not filed away
Have an existing network in the threat intelligence community and a track record of productive bidirectional sharing
Strong candidates may have:
Experience defending cloud-native and research-heavy environments (AWS/GCP, Kubernetes, ML infrastructure, developer tooling and supply chain)
Prior work operating in a threat intelligence role tracking sophisticated or state-sponsored adversaries, where your analysis directly informed detection, threat hunting, and incident response
Experience applying LLMs or other AI tooling to accelerate intelligence collection, enrichment, and analysis
Public research, conference talks, or open-source tooling contributions in the CTI space
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:
$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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
ГибридEspoo
San Francisco, CA | Seattle, WA
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