Location: Ireland
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
THE OPPORTUNITY
- Support the Head of Compliance in approving assets, including ensuring the Asset Listing process is operating in line with regulatory requirements and that assets are listed correctly
- Manage the policies and procedures inventory
- Oversee the delivery of PGSL’s Compliance Monitoring Plan
- Manage the CBI correspondence log and associated reg scanning feeds
- Assist in preparing reports for Committee and Board meetings on compliance matters
- Assist in the delivery of the annual PGSL Training Plan
- Assist in the maintenance of PGSL’s AML/CFT Framework
- Collaborate with the Head of Compliance on horizon scanning and the implementation of new regulatory requirements as they arise
- Support ongoing compliance with all applicable regulatory requirements
- Assist in managing regulatory inquiries and exams, including document and data retrieval
- Continually seek out and implement efficiencies and process improvements
WHAT YOU BRING
- Significant experience of delivering Compliance and AML/CFT plans with precision & speed
- Demonstrated ability to effectively manage tight deadlines and key stakeholder relationships
- Practical knowledge of compliance and AML/CFT management techniques
- Experience and/or passion for crypto preferred
- Excellent communication skills, both verbal and written
- Strong attention to detail and strong organisational skills
- 5+ years of experience in Compliance related business functions
- Strong knowledge of regulations, domestic and international, particularly in crypto
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
УдалённоIreland; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
Location: Remote
Workplace: Remote
At Adapty, we make it easy for mobile apps to manage in-app purchases and paywalls. We power 20K+ apps, process $3B+ in subscriptions every year, and have been growing fast for the last four years. Our mission is simple: make apps rich.
We are a team of 210+ passionate, product-driven people who love solving big challenges. Backed by top investors like 500 Startups and Surface Ventures, we are building one of mobile's fastest-growing SaaS companies and aiming for number one worldwide.
What you'll do
- Build the French Adapty developer community from close to zero.
- Show up at French mobile and developer events, and speak when it makes sense.
- Run Adapty's own meetups, webinars and workshops in France.
- Create content for French developers.
- Build relationships with local communities, organisers and companies.
- Pass interested teams you meet at events to our Sales team.
About you
- You want to build a developer community and have the energy to do it.
- You've run or helped run a community, spoken at events, or you understand how developer communities work.
- You like being around developers.
- You're based in France and speak French and English.
- You don't need to know subscriptions or our product. We'll teach you.
Nice to have
- Google Developer Expert status
- Speaking experience at meetups or conferences
- Your own developer content: YouTube, blog, podcast
- A mobile development background
WHAT'S IN IT FOR YOU
- Strong product with industry-best metrics. Adapty is among the top 5% fastest-growing SaaS companies.
- Exceptional compensation directly tied to your results.
- Direct communication and ownership. No bureaucracy, no politics, just impact.
- Flexible remote work. Join us from anywhere or work onsite in our Belgrade or London offices.
- Professional support. Language learning, sports, health insurance, laptop coverage, and more.
Location: New York, NY (HQ)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
Ramp is hiring a People Business Partner to support managers and employees across Marketing, Finance, Legal, People, Talent, Workplace, and Executive Assistants. Reporting to the Lead People Business Partner for Business & G&A, you’ll be the primary People Business contact for these teams. This is a hands-on individual contributor role: one day you may coach an employee through a difficult conversation, and the next you may partner with a C-suite executive on a major reorganization. No task is too big or too small. You’ll build a sustainable network across employees, managers, and leaders so you deeply understand each team’s work, talent, and business goals. You’ll independently own the People Business agenda for this portfolio, including its most senior leaders: set priorities with them, shape consequential talent and organizational changes, and drive the work through implementation and results.
WHAT YOU'LL DO
- Own the People Business agenda for your portfolio. Build trusted relationships across employees, managers, and senior leaders; understand each team’s business goals, talent, and challenges; and set priorities that deliver results.
- Improve how managers manage. Coach managers through performance, feedback, development, retention, and difficult talent decisions. Help employees prepare for difficult conversations, and partner with senior leaders to strengthen management across their teams.
- Drive talent and organizational changes. Use firsthand context and people data to diagnose needs, align leaders on trade-offs, and lead work such as team redesign, leadership development or hiring, and new performance approaches through implementation and measurable results.
- Own sensitive people matters. Manage intake, communication, and follow-through for employee relations, leave, accommodations, investigations, and other cases, partnering with People Operations, Legal, Immigration, and other specialists.
- Lead performance, engagement, and compensation work. Guide teams through twice-yearly reviews and engagement cycles, including manager preparation, calibration, and follow-up. Advise leaders on cash and equity rewards through partnerships with the Compensation team.
- Make the wider People Business team more effective. Identify recurring gaps, build reusable processes, guidance, or tools, drive adoption, and measure improvements in quality, consistency, or capacity.
WHAT YOU NEED
- A strong record of improving how managers manage, including direct coaching on performance, development, retention, and difficult talent decisions. Relevant experience may come from People Business Partner work, consulting, leadership development, or substantial management experience.
- Sound talent judgment and independent ownership. You can earn senior-leader trust, set priorities across a broad portfolio, and drive consequential people and organizational changes through implementation with limited direction.
- Good judgment in sensitive situations. You act decisively with incomplete information, communicate clearly, maintain confidentiality and documentation, and know when to involve specialists or escalate with a recommendation.
- Strong analytical habits. You use people and business data alongside firsthand context to identify priorities, recommend practical action, and assess results.
- A hands-on IC mindset. You enjoy detailed casework and direct employee and manager coaching alongside senior-leader partnership. If your background is outside HR, you can learn People policies and case processes quickly with coaching.
NICE TO HAVE
- Prior People Business Partner experience, including employee relations, compensation, and recurring performance and engagement cycles.
- Experience in people consulting, performance coaching, or learning and development that includes direct work with managers and measurable talent outcomes.
- Experience creating reusable manager guidance, case templates, or responsible AI and automation workflows that improve a People team’s effectiveness.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Buenos Aires, Argentina
Workplace: hybrid
Are you ready to join our digital revolution journey?
At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.
Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.
With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career.
The Head of Sales will be responsible for one of the largest markets in the region, helping our clients in different industries grow their business using X.
You will be navigating complex business situations, helping clients solve their challenges and driving our commercial teams toward our revenue objectives with ad products.
You need to utilize your strategic and analytical business skills, along with talent management skills to cultivate and lead the team. An ideal candidate will have a strong digital media sales track record with team management experience, hands-on use of AI and a strong focus on metrics to achieve our revenue objectives.
Main Responsibilities
Lead and develop the X team by coaching, training and building its structure, including recruiting
Drive the commercial teams strongly toward sales, setting priorities by advertiser, vertical and product, and helping close strategic pitches and proposals with clients
Build a strong partnership with X's regional team and sustain close alignment on programs, product roadmap, incentives and targets for the Argentine market
Regularly consult and align with internal directors and leadership on strategy, performance and resources
Track and report the performance of the business (revenue, pacing, pipeline, campaign metrics and client trends) and turn it into actions
Establish managerial processes: annual planning, budget prioritization, impact measurement
Use AI to work faster and at a greater scale, and drive its adoption across the team and the commercial teams
Skills and Experience required:
Minimum qualification will be sales track record in digital media or understanding of branding and full funnel marketing
Minimum 6+ years of work experience in a media sales, partnerships or account management role with knowledge in digital performance marketing and ad metrics from tech-driven companies, agencies or media platforms
2+ years of team and people management experience
Leadership skills – strong point of view with the ability to navigate clients, partners and internal leadership, and to build and foster relationships in a matrix organization
Strong analytical skills to track KPIs and campaign performance and turn data into decisions
Advanced, hands-on use of AI in day-to-day work, with concrete examples of improved results
Proficient in Spanish and English with writing, communication and interpersonal skills
Why Join Us?
Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.
We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.
#ALEPH
Location: United States
Workplace: OnSite
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Why this role?
Are you energized by bridging the gap between frontier AI capability and complex customer reality? Do you want to architect high-performance, resilient machine learning systems directly inside strategic enterprise environments? We are looking for a Staff Forward Deployed Engineer (FDE) to join our team. The team is responsible for taking our large language models and making them work reliably, securely, and at peak performance within our customers' custom infrastructure and data perimeters.
In this role, you will act as the principal technical translation layer between our core engineering teams and our strategic partners. You will own the architecture for highly ambiguous, customer-specific inference challenges—ranging from multi-tenant model serving to multi-datacenter disaster recovery and custom hardware validation. You will lead technical adoption end-to-end, ensuring our models achieve exceptionally low latency, high throughput, and seamless resilience in the field.
As a Forward Deployed Engineer, you will:
• Embed directly with customer engineering teams to architect the "connective tissue" between our AI models and their live, complex production environments.
• Design advanced model serving topologies, implementing multi-tenant architectures, intelligent model routing, and cross-datacenter failover strategies for multi-cluster environments.
• Optimize "AI-in-a-box" and private deployments, balancing localized SRE constraints like Kubernetes multi-cluster scale with raw model performance.
• Conduct rigorous benchmarking and profiling of customer LLM workloads, root-causing performance degradation (e.g., slow generation) via metrics, dashboards, and distributed logs.
• Accelerate hardware validation, collaborating with clients to run and support Cohere models on next-generation accelerators (GPUs, TPUs, AMD, and custom ASICs).
• Translate complex field friction into platform upgrades, delivering prescriptive feedback and contributing directly back to core product features.
• Ensure Day-1 production reliability, assisting customers in establishing sound deployment patterns, SLOs, and observability frameworks.
You may be a good fit if you have:
• 8+ years of engineering experience running production infrastructure, designing large-scale distributed systems, or deploying enterprise software in complex environments.
• Deep technical depth in production Kubernetes, including orchestration across multi-cluster and hybrid/multi-cloud ecosystems (GCP, Azure, AWS, OCI).
• Strong understanding of LLM architecture and inference dynamics, specifically how attention mechanisms, compute-bound prefill, and memory-bound decode phases dictate live performance.
• Hands-on experience with modern inference engines and optimization stacks (e.g., vLLM, TensorRT-LLM, lmd, or Dynamo).
• Familiarity with distributed serving techniques, such as prefill/decode disaggregated serving, distributed KV caching, and multi-GPU workloads.
• Exceptional customer-facing technical leadership, with a proven track record of scoping highly ambiguous problems and steering executive technical stakeholders.
• The high agency, grit, and adaptability to write same-day production code while managing client-side deployment politics or blockers.
• Strong programming foundations in Python, Go, or C++, comfortable moving fluidly between backend data pipelines and infrastructure layer tuning.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: New York, NY (HQ); San Francisco, CA
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
As a Manager on the Commercial Account Management team, you will lead a team of Account Managers who serve as the dedicated, named partners for some of Ramp's fastest growing customers. Your team drives revenue through expansion, renewal and retention across a high-volume book of business, while delivering the white-glove experience of a trusted advisor. You will coach your team to uncover and close multi-product expansion opportunities and help sharpen a proven account management motion as the segment scales.
What You'll Do
- Lead, coach, and develop a team of Commercial Account Managers focused on expansion and retention across a scaled customer portfolio
- Own team-level pipeline, forecasting, and revenue targets — driving accountability through clear metrics and performance frameworks
- Develop and execute scalable upsell/cross-sell strategies and ensure the team maintains a robust, healthy expansion pipeline
- Build a deep understanding of Ramp customer personas and instill a consultative, trusted-advisor approach across your team
- Equip your team with sales methodologies to uncover customer needs and pain points effectively
- Stay close to changes in Ramp's product and go-to-market motion, and translate those shifts into how your team sells, prioritizes, and talks to customers
- Synthesize customer feedback from your team to inform Ramp's product roadmap and customer communication strategy
- Partner cross-functionally with Sales, Marketing, Product, and Operations to continuously improve efficiency and advocate for your customers
- Hire and onboard top talent as the team scales
What You'll Need
- Minimum 6 years of customer-facing or direct sales experience, with at least 2 years in a people management role
- Proven track record of leading high-performing teams in a high-velocity sales environment
- Experience with CRM tools (Salesforce preferred) and the ability to build and maintain team-level reporting and dashboards
- Background in outbound prospecting, product demonstrations, and hands-on experience with sales tools and processes
- Consultative sales mindset with strong analytical skills and the ability to coach others to engage with business challenges at a strategic level
- Comfort engaging with and enabling your team to sell to C-level executives, finance teams, and key decision makers
- Consistent track record of hitting or exceeding team-level sales targets with strong team distribution in a fast-paced, metrics-driven environment
- Strong operational rigor — data-driven approach to tracking team performance and identifying coaching opportunities
- Excellent verbal and written communication skills, with the ability to represent the team internally and externally
- Strong organizational and project management skills, with the ability to manage competing priorities across a growing team
- Entrepreneurial mindset: a self-starter who thrives in ambiguous, fast-moving environments and can build process where little exists
NICE TO HAVES
- Experience with financial services sales
- Experience at a high-growth startup
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | 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
Every change to Anthropic's software has to reach production somehow: new code, runtime configuration, feature flags, infrastructure changes. Our team builds the systems those changes travel through. Our mission is to give every team at Anthropic a fast, safe, and predictable path from change to production.
We sit within Anthropic's Infrastructure organization and own pipelines, staged rollouts, health-gated promotion, and rollback, along with runtime configuration, feature flags, and the systems that deliver code and artifacts to machines across a very large fleet. You'll own a meaningful part of this end to end, from design through operating it in production.
If you want your work to shape how fast and how safely Anthropic ships, this could be a great fit.
Key responsibilities
Set technical direction for major parts of the deployment platform and own them end to end: design, implementation, and operations
Build rollout safety into the platform, including progressive delivery, health-gated promotion, automatic pause and rollback, and deploy controls that teams manage themselves
Design APIs and abstractions that work equally well for engineers and for AI agents
Extend the platform to new workload types and runtimes, from Kubernetes to serverless and edge platforms
Build and operate runtime configuration and feature flag systems with validation, gradual rollout, and fast rollback
Build infrastructure-as-code workflows that many teams rely on for safe, routine changes
Scale artifact distribution so code and configuration reach machines quickly and efficiently
Partner with Security so that the path to production is secure by default, with verifiable builds, least-privilege access, and auditable changes
Work directly with teams across Anthropic to understand their deployment needs and bring their workloads onto the platform
Take part in on-call and incident response, and turn what you learn into guardrails that prevent the same problem from recurring
Minimum qualifications
Proficiency in at least one backend or systems programming language, such as Rust, Go, C++, or Java
Experience leading the design, building, and operation of distributed systems or infrastructure in production, including technical direction across teams
Experience with cloud infrastructure and containerized workloads, such as Kubernetes on AWS or GCP
Strong written and verbal communication skills
Preferred qualifications
Experience building deployment, release, or change management systems at large scale
Experience with production on-call and incident response
Experience with Rust in production
Experience with progressive delivery and GitOps tooling, such as Argo CD or Argo Rollouts
Deep knowledge of Kubernetes, including controllers and operators
Experience with Terraform or other infrastructure-as-code systems at scale, including state management and locking
Experience building feature flag, experimentation, or dynamic configuration systems
Experience with artifact or package distribution, such as OCI registries, Nix, or content-addressed storage
Experience with software supply chain security, such as signed build provenance
Experience building high-throughput workflow engines or control planes backed by relational databases
Experience building internal developer platforms and leading adoption across many teams
Experience using AI agents in your own engineering work, or building systems that agents operate
Representative projects
Build operator controls for progressive rollouts, including pause and resume that preserve rollout state
Design a deployment engine built on fine-grained targets and their dependencies, so each change rolls out exactly where it needs to
Build cluster-health-aware rollouts that steer around unhealthy clusters
Add a new workload type to the platform, including its rollout, verification, and rollback behavior
Design a deployment control plane that handles sharp bursts of agent-driven traffic
Design a distribution system that delivers configuration and artifacts to every machine in the fleet as demand grows
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:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote - US
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next Machine Learning Engineer, Customer Memory.
About the job
This position is needed to build and scale the pipelines that turn raw conversation data into structured, searchable customer memory, and the evaluation systems that keep that memory accurate as the product evolves.
You'll join the Conversation Memory team, which builds the memory layer behind Twilio's Conversational AI platform: the systems that extract what matters from millions of conversations, resolve it to the right customer, and retrieve it in milliseconds when an agent needs it. Memory that is wrong, stale, or crossed between customers is worse than no memory at all, so quality measurement is a first-class part of the work.
Responsibilities
In this role, you’ll:
Build the extraction pipeline that turns raw data into structured memory, tuning the LLM prompts and schemas that decide what an AI agent remembers about a customer and what it forgets.
Own the retrieval path that answers "what do we know about this person?" in milliseconds, working with embeddings, vector search, and ranking
Contribute to the eval systems that tell us whether memory is actually getting better, turning a fuzzy question of quality into benchmarks and regression gates that run before every change ships.
Diagnose production issues across the ingestion, extraction, and indexing path using logs, metrics, and traces.
Partner with Product and ML teams to translate customer problems into system changes and evaluation criteria.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Required:
Experience building backend services, and a demonstrated ability to pick up new languages, frameworks, and tools as the problem demands.
A curious approach to service management: ability to investigate how systems actually behave in production, and desire to continuously learn how to operate them with rigor and accountability.
Experience building or working with evaluation/quality-measurement systems, such as regression detection or quality metrics, or the desire to learn.
Solid grounding in observability practices: structured logging, metrics, and using them to debug distributed systems in production.
Fluency with AI-assisted dev tools (e.g. agents for code generation, review, debugging), applied with deliberate direction and critical thinking.
Desired:
Experience with Go and/or Python.
Experience with event-streaming systems (e.g. Kafka).
Experience building LLM-backed products.
Practical experience applying ML, e.g. building, evaluating, or productionizing models.
Location
This role will be remote, but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Compensation
*Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above.
The estimated pay ranges for this role are as follows:
Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $128,560 - $160,700
Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $136,000 - $170,000.
This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Application deadline information
Applications for this role are intended to be accepted until November 13, but may change based on business needs.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: Remote (United States | Canada)
Workplace: Remote
1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.
About 1Password
At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.
If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.
The Vice President of Platform Engineering reports to the CTO and leads the strategy, organization, and execution for 1Password’s core service and development platforms. The VP is accountable for building secure, reliable, and scalable foundations that enable teams across 1Password to deliver, operate, and own with autonomy, speed, and unambiguous accountability. The VP owns operations, drives delivery, and develops a high-performing team to achieve impactful results.
How we’re using AI today
Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers.
This is a remote opportunity within Canada and the US.
What we're looking for:
- Experience: 10+ years of experience in software engineering, with at least 7 years in a leadership role, preferably with experience building and operating at the intersections of IaaS, SaaS, and the cybersecurity industry.
- Education: Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, or related fields; or proven equivalent work experience.
- Proven track record establishing durable, full-lifecycle ownership for critical platforms and services, including adoption, customer experience, reliability, security, cost, incident response, and continued evolution.
- Proven ability delivering and operating cost-effective mission-critical infrastructure and platform systems serving internal- and consumer-facing software products, operational efficiency and market expansion.
- Strong business and technical acumen in systems and software engineering, proven ability to lead an organization and culture delivering best practices and innovation.
- Exceptional analytical and strategic thinking skills, with the ability to define, develop and execute strategic plans across a wide set of objectives, driving committed quantifiable results.
- Extensive experience in building, maintaining, and influencing operational excellence, including process and system optimization, scalability, and the development and management of performance metrics
- Demonstrated ability to collaborate effectively with C-suite leaders and cross-functional teams, aligning on strategic priorities to achieve shared objectives.
- Outstanding communication skills, with the ability to convey complex ideas clearly, build trust, inspire broadly, gaining alignment across diverse stakeholders.
- Proven expertise in leading and sustaining multi-year transformational initiatives in fast-paced, complex, and dynamic environments.
- Proven experience building, developing and scaling high-performing teams.
What you can expect:
- Leadership: Continuously evolve, develop and execute the Platform Engineering vision, strategy, objectives, and roadmaps, aligning and laddering it with the company strategy and customer needs. Proactively incorporate market and industry trends, competitive landscape, and customer insights to identify opportunities, informing strategic decision-making.
- Transformation: Lead multi-year changes to 1Password’s engineering architecture and operating model, building shared platforms, supported paths, and common practices that improve reliability, security, developer effectiveness, and the company’s ability to scale.
- Company Initiatives: Lead technology-adjacent strategic initiatives that facilitate delivering best-in-class engineering results, from inspiration and innovation, to implementation and iterative improvement.
- Operations: Design and evolve the organization, ownership model, and operating mechanisms needed to execute the strategy. Establish clear accountability for the platforms and services the organization operates directly, while creating governed, supported paths that enable other teams to own and operate their products independently.
- Engineering Systems and Practices: Advance how software is built and operated across 1Password through ubiquitous engineering standards, operational excellence, and safe, measurable Agentic Engineering practices. Establish the platforms, controls, and evidence needed for teams to adopt these practices while remaining accountable for their results.
- Performance: Establish clear, quantifiable outcomes across the organization and operating mechanisms that expose progress, quality, adoption, operational health, and business impact. Use evidence to make investment, prioritization, and organizational decisions, transparently providing actionable insights for the executive team and organizational leaders.
- Cross-functional Collaboration: Build strong relationships across the company to proactively identify needs, align strategies, and optimize your company-wide impact. Foster collaboration within and beyond the Technology organization to influence change. Apply critical feedback toward achieving strategic goals. Represent the technical organization in senior leadership meetings, providing updates on strategic initiatives, operational execution, and industry trends and their implications.
- Team Leadership: Build and lead a high-performing team by mentoring and coaching direct reports, evaluating organizational talent, and implementing plans to prepare talent for future business demands.
- Leadership Growth: Invest in the growth and development of the leaders within the technology organization across 1Password via direct mentorship, sponsorship, and participation at sibling organization events, as well as providing leadership alongside cross-functional partner teams, such as Product, Security, People/Talent, Operations and L&D.
- Culture and Org Health: Drive and evolve our high-performance culture, fostering psychological safety, inclusivity, ownership, and agility. Champion initiatives to enhance the employee experience organizationally- and company-wide.
- Financial Oversight: In partnership with Finance, own the organization’s investment and capacity strategy, balancing current operations, future-state transformation, and targeted growth. Ensure resources are allocated against the highest-value outcomes and adjust plans when evidence or business priorities change.
USA-based roles: The annual base salary for this role is between $302,000 USD and $483,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
Canada-based roles: The annual base salary for this role is between $278,000 CAD and $445,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.
This posting is for an existing vacancy.
Our culture
At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first.
You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.
How we work with AI
We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.
This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others.
Our approach to remote work
We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events.
What we offer
We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:
Health and wellbeing
👶 Maternity and parental leave top-up programs
🩺 Competitive health benefits
🏝 Generous PTO policy
Growth and future
📈 RSU program for most employees
💸 Retirement matching program
🔑 Free 1Password account
Community
🤝 Paid volunteer days
🏆 Peer-to-peer recognition through Bonusly
🌎 Remote-first work environment
*Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting.
You belong here.
1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.
Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.
Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.
Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.
1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.
Location: United States, Austin, TX
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Data Center Strategy & Commercial Management Specialist
Sony Interactive Entertainment is seeking a
Data Center Strategy & Commercial Management Specialist
to support the ongoing evolution of SIE’s global colocation footprint. This role sits within the Technical Operations department of the Global Developer Future Technology Group (GDFT), the organization responsible for building and operating the data center infrastructure that underpins PlayStation’s Cloud Gaming, Broadcast, and Developer Platform services worldwide. Our colocation environments host critical workloads ranging from real-time game streaming to content distribution, developer build systems, and testing environments.
The successful candidate will lead the strategic planning, commercial management, and capacity management of SIE’s global colocation estate, ensuring infrastructure availability aligns with business growth, resilience, performance, and cost objectives. This role is responsible for translating business growth forecasts into practical colocation capacity, power, and infrastructure strategies across existing and future sites. The role combines commercial leadership, provider management, infrastructure planning, and technical coordination across a complex global environment.
This is not a facilities operations role; however, the successful candidate must possess strong technical literacy in colocation infrastructure, including mechanical and electrical resiliency models, power and cooling constraints, and operational dependencies, in order to support informed commercial, contractual, and strategic decisions.
Responsibilities:
Colocation Strategy & Capacity Planning
– Translate business growth forecasts and platform requirements into short-, mid-, and long-term colocation capacity strategies across existing and future sites, accounting for scalability, resiliency, performance, and regional demand.
Commercial Management
– Own the commercial strategy and lifecycle of SIE’s global colocation footprint, including renewals, expansions, exits, commercial obligations, and strategic capacity planning across multiple providers and regions.
Commercial Negotiations
– Lead commercial negotiations with colocation providers for renewals, expansions, new capacity acquisitions, and related commercial agreements in partnership with internal legal and procurement teams.
Provider Relationship Management
– Develop and manage strategic relationships with colocation providers, ensuring effective oversight of contractual obligations, service delivery, commercial commitments, escalations, and operational performance.
Infrastructure Planning Coordination
– Partner with operations, engineering, product, and business intelligence teams to translate deployment forecasts into actionable power, space, and capacity requirements across the global estate.
Colocation Sourcing & Market Analysis
– Support colocation sourcing activities including market assessments, provider evaluations, regional capacity analysis, commercial benchmarking, and expansion planning.
Vendor & Contract Oversight
– Manage contract governance, service-level oversight, commercial risk, and compliance requirements across a diverse global provider ecosystem.
Commercial Analysis
– Support sourcing and capacity decisions through commercial analysis, provider benchmarking, market comparisons, and evaluation of colocation pricing, terms, and service offerings.
Lifecycle Governance
– Maintain oversight of key commercial and operational milestones, including lease events, capacity commitments, renewals, expansions, migrations, and decommissioning activities.
Performance & KPI Management
– Define, monitor, and report on operational and commercial KPIs to drive accountability, transparency, and continuous improvement across the colocation estate.
Executive Reporting & Governance
– Develop reporting and governance frameworks that provide clear visibility into capacity, commercial exposure, provider performance, risk, and strategic opportunities.
Market & Industry Awareness
– Maintain awareness of colocation market trends, regional supply dynamics, pricing movements, provider capabilities, and industry developments to support strategic decision-making.
Regulatory & Sustainability Alignment
– Ensure infrastructure planning and commercial decisions align with environmental, sustainability, regulatory, and compliance requirements across multiple global regions.
Decision-Making & Strategic Recommendations
– Operate effectively in environments with evolving or incomplete business forecasts, providing infrastructure and commercial recommendations that balance growth, risk, timing, and cost considerations.
What We’re Looking For:
7+ years of experience in colocation strategy, data center commercial management, infrastructure sourcing, capacity planning, or related disciplines within large-scale global environments.
Demonstrated experience leading commercial negotiations with colocation providers, including renewals, capacity expansions, pricing negotiations, SLAs, and contractual commitments.
Strong understanding of colocation commercial constructs, including leases, service orders, SLAs, power commitments, contractual obligations, and provider governance models.
Experience managing colocation provider relationships across multiple regions, with understanding of market dynamics, supplier capabilities, and commercial models.
Strong understanding of colocation infrastructure, including power, cooling, resiliency, and capacity constraints, with the ability to connect technical considerations to commercial and business outcomes.
Experience translating business or deployment forecasts into actionable infrastructure capacity, power, and space strategies.
Experience supporting colocation sourcing activities including provider evaluations, market analysis, commercial assessments, expansion planning, and capacity negotiations.
Experience evaluating colocation commercial proposals, pricing structures, service offerings, and contractual terms to support infrastructure and capacity decision-making.
Strong analytical and organizational skills, with the ability to manage complex datasets, contractual obligations, lifecycle milestones, and regional planning assumptions across a global footprint.
Experience developing governance processes, KPI frameworks, and executive-level reporting for infrastructure, commercial, or capacity management functions.
Excellent communication and stakeholder management skills, with the ability to influence technical, operational, financial, legal, procurement, and business stakeholders across multiple levels of the organization.
Self-motivated, detail-oriented, and comfortable operating within a fast-paced, globally distributed environment.
Ability to operate effectively at both strategic and tactical levels, balancing long-term infrastructure strategy with day-to-day commercial and operational priorities.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$184,500
—
$276,700 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Budapest, Hungary
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
About the role
We're looking for a Team Lead to oversee our People Associates in Budapest and Timișoara. You'll manage day-to-day HR operations, drive service quality, and help scale our Tier 1 HR function as Wolt expands globally.
What you'll do
Team leadership
Lead and mentor a team of ~10 People Associates
Set goals, monitor performance, and run regular evaluations
Ensure the team follows company policies and procedures
HR service delivery
Oversee handling of HR inquiries from employees across multiple countries
Act as the first escalation point for complex issues and ensure timely resolution
Knowledge transfer & launches
Partner with Tier 2 HR and the business to transition processes into Tier 1
Own process documentation and knowledge transfer milestones
Ensure coverage is in place for all country deliverables
O
perational excellence
Improve HR processes and systems for efficiency and accuracy
Drive adoption of manager and employee self-service tools
Support Workday onboarding and data accuracy
Collaborate with Payroll to ensure timely, accurate salary payments
Team development & continuous improvement
Create development opportunities that grow the team's skills
Identify process gaps and implement improvements based on team and employee feedback
What we're looking for
Based in Hungary, able to work from the Budapest office 3+ days/week
Curiosity about AI and automation in HR service delivery, with a track record of using new tools to improve efficiency and accuracy
Fluent English (written and spoken)
Bachelor's degree in HR, Business Administration, or related field
Proven people management experience with a focus on team development
Background in employee lifecycle processes and HR service delivery
Familiarity with HR metrics and ERP systems; Workday experience is a plus
Strong communication and stakeholder management skills
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
.
Location: Mexico City, Mexico
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next Supervisor, Billing Operations.
About the job
We are seeking an experienced Billing Supervisor to support end-to-end order processing, invoicing, and post-billing communications for sales teams and customers. In this role, you will work closely with Deal Operations, Revenue Accounting, Collections and Sales to ensure smooth contract execution and issue resolution.
You will directly lead and support an operational team based in Mexico while collaborating cross-functionally with global counterparts across the United States, Ireland, and India.
Responsibilities
In this role, you’ll:
Lead and supervise an international team of analysts and senior analysts handling post-billing communications, invoice portal processing, and issue remediation.
Oversee daily order management, billing, and communications to ensure timely invoicing, precise contract provisioning, and rapid issue remediation while holding the team accountable to key SLAs.
Serve as an escalation point for billing, collections, and order management inquiries, delivering timely resolutions for both internal stakeholders and external customers.
Review and validate customer contracts across multiple internal systems to maintain data integrity and accurate financial reporting.
Execute and own SOX-compliant month-end reconciliations for billing and provisioning, ensuring full data completeness and accuracy.
Coordinate and fulfill audit deliverables for internal/external auditors and tax consultants during quarterly and annual reviews.
Drive continuous operational improvements, participate in system enhancement initiatives, and lead new process implementations.
Onboard, train, and mentor team members to maintain high operational standards across the team.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
5+ years experience in a billing operations role
Experience with Salesforce
Experience with supporting team members from a supervisory standpoint
Excellent communication skills for internal and external stakeholders
Proficiency in Excel
Strong attention to detail
Ability to prioritize and multitask throughout high volume order processing
Ability to identify, analyze, and resolve issues independently
Collaborative working style and experience working cross-functionally
Ability to support flexible timezone meetings periodically
Excellent written, and verbal communication skills in English
Desired:
Experience working in the SaaS/technology industry
Experience working with an international team
Knowledge of and experience with SOX controls
Experience with Zuora
Location
This role will be remote, and based in Mexico City, Mexico.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 5% travel is anticipated to help you connect in-person in a meaningful way.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
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Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: San Francisco, California
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
We're looking for an experienced recruiter to join our Business Recruiting team and support hiring across Notion's Foundation (G&A) organization, including People, Legal, and Finance.
You'll be a trusted partner to hiring managers and leaders, owning searches end-to-end, developing creative strategies to find hard-to-reach talent, and helping teams make thoughtful hiring decisions. We're looking for someone who loves the craft of recruiting, thrives on solving complex hiring challenges, and brings a strong sense of ownership, curiosity, and resourcefulness to everything they do. You'll have the opportunity to make a meaningful impact while helping us raise the bar for how we hire at Notion.
This role is based San Francisco. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Own full-cycle recruiting across People, Legal, and Finance, independently driving searches from intake and sourcing through assessment, offer, and close.
- Build trusted hiring partnerships, developing a deep understanding of business needs, proactively communicating progress, and bringing solutions to hiring challenges.
- Develop creative sourcing and talent strategies for specialized roles, using market research, talent mapping, and targeted outreach to engage exceptional candidates.
- Deliver an exceptional candidate experience, building meaningful relationships and thoughtfully engaging candidates throughout the hiring journey.
- Embrace new ways of working, thoughtfully leveraging AI and modern recruiting tools to improve efficiency, quality, and outcomes.
SKILLS YOU'LL NEED TO BRING:
- 5+ years of full-cycle recruiting experience supporting specialized or niche roles in fast-paced, high-growth environments.
- Proven ability to independently source, assess, and close exceptional talent, including hard-to-find candidates.
- Strong hiring manager partnership skills, with the confidence to advise, navigate tough conversations, and influence hiring decisions.
- A proactive, solutions-oriented approach, using data, market insights, and sound judgment to overcome challenges and drive searches forward.
- Excellent communication, organization, and attention to detail, with the ability to prioritize, navigate ambiguity, and deliver an inclusive, high-touch experience.
- A collaborative, team-first mindset—we're all gardeners here—with curiosity and a willingness to experiment with AI and emerging tools to improve how we work.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $150,000 - $170,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: London, United Kingdom
Workplace: remote
NovaKid - Novakidschool (online-school for children 4 -12 years old, in which children remotely learn English language with natives from the US and the UK. Our customers come from more than 50 countries all over the world. We have 100K+ students and 4K+ teachers. Our international team is proud of 450+ developers / support managers and marketing gurus.
We are looking for the Leraning Content Editor.
Help turn lesson content into learning that works. We are looking for a Learning Content Editor who can recognise what makes a lesson clear, engaging and effective, whether it was created by a person, AI or a combination of both.
You will review lesson drafts and completed lessons, looking beyond correct language to the overall quality of the learning experience. You will work closely with content creators, project managers and proofreaders to make sure lessons achieve their intended outcomes.
What you will do
Check that activities teach, practise and assess the intended learning outcomes.
Assess logical flow, scaffolding, pacing and suitability for learners’ ages and levels.
Spot opportunities to make lessons more engaging and give learners more meaningful practice.
Review slides, instructions, teacher notes and interactions for clarity and intuitive use.
Identify English that sounds unnatural, awkward or overly formulaic, even when it is grammatically correct.
Provide specific suggested changes, explain why they matter and check the creator’s revisions.
Use AI and automation thoughtfully to support efficient, consistent editorial review.
You will recommend improvements, including sample wording or alternative activities where useful; creators implement all changes. The role focuses on educational editorial review, with detailed proofreading handled by proofreaders.
What you will bring
Experience reviewing or developing educational content and a strong understanding of how learners build skills.
Native-level English, with an excellent ear for natural phrasing, dialogue and age-appropriate language.
The ability to explain editorial decisions clearly and give constructive, practical feedback.
A collaborative approach, sound judgement and reliable organisation.
An open, critical approach to AI and an interest in useful automation.
Experience with English language learning materials and interactive digital lessons would be an advantage.
Qualifications and experience
A relevant bachelor’s degree, such as Education, English or Linguistics.
At least three years’ experience editing or developing educational content.
Native-level English and a sound understanding of what makes lessons effective and engaging.
Clear, constructive communication and confidence using AI tools.
Experience with English language learning materials would be an advantage.
We Offer
Fully remote work
A chance to shape the future of AI-driven education
A dynamic team that loves building innovative products
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a
professor in a quantitative discipline, a technical founder or a staff-level engineer
and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required.
What to expect
A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers
Access to Claude models and GPU compute
Connection to the broader AI safety and security research community
Interview process
The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check.
Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027.
You may be a good fit if you
Are motivated by making sure AI is safe and beneficial for society as a whole
Are excited to transition into working on empirical AI research full-time
Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer)
Thrive in fast-paced, collaborative environments
Can implement ideas quickly and communicate clearly
Strong candidates may also
Have experience authoring research papers in machine learning, NLP, or AI safety
Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases
Mentors and research areas
Potential Anthropic mentors include:
Sara Price
: leads the Alignment Training team; background in data science
Ethan Perez
: leads the Alignment Science team; background in machine learning
Evan Hubinger
: leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI)
Samuel Marks
: leads the Scalable Oversight team; background in mathematics
Elana Simon
: researches the interpretability of language models and biological models; background in biomedical informatics
Belinda Li
: researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT)
Jack Lindsey
: leads the Model Psychology team; background in theoretical neuroscience
Nicholas Carlini
: researches adversarial machine learning and AI security; previously at DeepMind and Google Brain
Jascha Sohl-Dickstein
: works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain
Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include:
AI safety & alignment
Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains.
Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.
Model Organisms: Creating
model organisms of misalignment
to improve our empirical understanding of how alignment failures might arise.
Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures.
Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment.
AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations.
AI security & frontier red-teaming
Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography.
ML systems & reinforcement learning
Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines.
For a fuller picture of the questions we care about, see our
Recommendations for Technical AI Safety Research Directions
and recent publications from our
Alignment
,
Interpretability
and
Frontier Red
teams.
Logistics
Duration:
Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception.
Location:
This application is for a remote UK position, with the option to work from our London office. However, we prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire.
Commitment:
Full-time role for the duration of the residency.
Compensation:
£265,000 to £375,000/year pro-rated for the duration of the residency + benefits
Visa sponsorship:
We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire.
Applicants may also be considered for the
Anthropic Fellows Program
.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£265,000
—
£375,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a
professor in a quantitative discipline, a technical founder or a staff-level engineer
and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required.
What to expect
A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers
Access to Claude models and GPU compute
Connection to the broader AI safety and security research community
Interview process
The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check.
Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027.
You may be a good fit if you
Are motivated by making sure AI is safe and beneficial for society as a whole
Are excited to transition into working on empirical AI research full-time
Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer)
Thrive in fast-paced, collaborative environments
Can implement ideas quickly and communicate clearly
Strong candidates may also
Have experience authoring research papers in machine learning, NLP, or AI safety
Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases
Mentors and research areas
Potential Anthropic mentors include:
Sara Price
: leads the Alignment Training team; background in data science
Ethan Perez
: leads the Alignment Science team; background in machine learning
Evan Hubinger
: leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI)
Samuel Marks
: leads the Scalable Oversight team; background in mathematics
Elana Simon
: researches the interpretability of language models and biological models; background in biomedical informatics
Belinda Li
: researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT)
Jack Lindsey
: leads the Model Psychology team; background in theoretical neuroscience
Nicholas Carlini
: researches adversarial machine learning and AI security; previously at DeepMind and Google Brain
Jascha Sohl-Dickstein
: works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain
Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include:
AI safety & alignment
Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains.
Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.
Model Organisms: Creating
model organisms of misalignment
to improve our empirical understanding of how alignment failures might arise.
Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures.
Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment.
AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations.
AI security & frontier red-teaming
Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography.
ML systems & reinforcement learning
Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines.
For a fuller picture of the questions we care about, see our
Recommendations for Technical AI Safety Research Directions
and recent publications from our
Alignment
,
Interpretability
and
Frontier Red
teams.
Logistics
Duration:
Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception.
Location:
We prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire.
Commitment:
Full-time role for the duration of the residency.
Compensation:
$350,000 to $500,000/year pro-rated for the duration of the residency + benefits
Visa sponsorship:
We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire.
Applicants may also be considered for the
Anthropic Fellows Program
.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$350,000
—
$500,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
ГибридNew York, NY (HQ); Relocation expense coverage to NYC or SF (if needed)
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
ОфисUnited States; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
Brazil - Remote
ГибридNew York, NY (HQ); San Francisco, CA; Relocation expense coverage to NYC or SF (if needed)
УдалённоГеография найма не уточнена
Brazil - Remote
УдалённоRemote - US; Compensation for candidates in other locations will be discussed during the hiring process
УдалённоRemote (United States | Canada)
United States, Austin, TX
leadBudapest, Hungary
Mexico City, Mexico; Ability to support flexible timezone meetings periodically
ГибридSan Francisco, California
УдалённоLondon, United Kingdom
Противоречивые условия: Most full-time research roles at Anthropic require relocation to San Francisco
San Francisco, CA | New York City, NY; Most full-time research roles at Anthropic require relocation to San Francisco