Location: Chișinău, Chișinău Municipality, Moldova
About Alvys
Alvys is on a mission to revolutionize transportation logistics. Combining hands-on industry experience with a world-class technical team from Wonder, Jet, and ServiceTitan, we’re building the preferred supply chain operating system, starting with the $800B US freight industry.
Alvys’ all-in-one solution is designed to help Carriers, Brokers, and Hybrid Operators book and move more freight with more automation and lower costs.
About the Role
As an EDI Growth Specialist at Alvys, you will own EDI integrations from kickoff through go-live. You'll work directly with our customers and their trading partners (shippers, 3PLs, VANs, and payment processors) to gather requirements, build mappings, establish connectivity, and run testing until each integration is certified and live in production. This role is critical to scaling our EDI capabilities, and it suits someone who is as comfortable chasing down a trading partner for a spec guide as they are working through an X12 file segment by segment.
What you’ll do
Partner and customer communication
- Own communication with trading partners and Alvys customers for every integration you manage, from kickoff to go-live
- Gather requirements, including spec guides, sample files, ISA/GS identifiers, connection details, and the transaction sets in scope
- Follow up consistently on open items, keep projects moving, and escalate when a partner or customer stalls
- Coordinate go-live timing, cutover, and sign-off with all parties
Mapping
- Build and maintain decoder and encoder mappings between X12 transactions (204, 990, 214, 210, 997) and the Alvys platform data model
- Interpret partner spec guides and sample files, and identify where a partner's actual data differs from their documentation
- Work with APIs and JSON payloads to make sure mappings are technically correct and fit our backend systems
- Apply and contribute to our mapping templates and standards
Connectivity
- Set up and troubleshoot AS2, SFTP, and VAN connections, including identifiers, MDNs, directories, and test vs. production environments
- Configure customer integration profiles in the platform
Testing and go-live
- Run end-to-end testing across the full transaction cycle: inbound tender, 990 response, 214 status updates, and 210 invoicing
- Exchange test files with trading partners, interpret 997 rejections and partner feedback, and iterate until the integration is certified
- Validate integrations against the customer's real day-to-day workflow, not just the test cases
- Confirm production readiness, verify the first production transactions at go-live, and hand off to Support with complete documentation
Project management and documentation
- Manage several concurrent integrations, keeping ticket status, due dates, and notes accurate and current
- Document mapping logic, partner-specific quirks, assumptions, and edge cases so another team member could pick up any integration you own
- Contribute to continuous improvement of our onboarding process, testing standards, and internal best practices
What you need
- 2–4 years of hands-on EDI experience, including X12 transaction sets (204, 214, 990, 210, 997 strongly preferred)
- Background in transportation and logistics, ideally with a carrier, broker, 3PL, or TMS provider
- Hands-on experience with EDI connectivity (AS2 and/or SFTP); VAN familiarity is a plus
- Hands-on experience with data mapping between different systems and formats
- Proficiency reading and manipulating JSON, and experience working with APIs (reading documentation, understanding requests and responses)
- Strong troubleshooting skills, including diagnosing problems from raw files, logs, and data
- Excellent written communication with external enterprise partners, with the persistence to follow up without damaging the relationship
- Proven ability to manage multiple projects at once and prioritize independently
- Basic SQL is a plus
Location: New York City
Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks.
As
Director of IT & Infrastructure
, you’ll lead the team, systems, and infrastructure that keep our employees connected and our operations moving. Your scope will span global IT support, enterprise applications, identity and access, corporate networks, and the setup of facilities for new transit service launches.
This role combines excellent people leadership with hands-on technical expertise. Balancing an entrepreneurial spirit with a pragmatic approach to problem-solving, you will serve as a key stakeholder in building the reliable services our teams and partners depend on. From improving employee support through automation and AI to getting a new operational site ready for launch, you’ll turn complex requirements into well-run systems and repeatable processes.
What You’ll Do:
Lead our global IT team.
Develop and support the team, establish clear ownership and service expectations, and translate business priorities into an actionable IT roadmap. Balance daily operations with infrastructure improvements and longer-term projects.
Own the employee IT experience.
Oversee support across offices, remote teams, and operational sites. Lead the administration and continuous improvement of
Freshservice
, including ticketing, the service catalog, approvals, inventory, knowledge management, and automated workflows.
Manage identity and access.
Oversee
Okta
, SSO, application provisioning, and employee onboarding, transfers, and offboarding. Maintain reliable access approval and provisioning workflows between Freshservice, Okta, and connected applications.
Run dependable infrastructure.
Oversee corporate networks, Wi-Fi, internet connectivity, remote access, and IT-managed infrastructure. Use platforms such as
Cisco Meraki
to monitor sites, address outages, and improve reliability. Manage relevant DNS, domain, and certificate requirements, including work with
Cloudflare, AWS, GCP
.
Deliver Network TaaS launch readiness.
Own facility setup and IT readiness for new launches, from sourcing telecommunications providers and infrastructure contractors to overseeing onsite installations, security cameras, and physical access control systems. Ensure access to company applications reflects each launch’s staffing and operational requirements.
Manage the endpoint and asset lifecycle.
Establish hardware standards and oversee device deployment, management, support, inventory, purchasing, logistics, replacement, and secure disposal for a
Keep enterprise applications working together.
Oversee platforms including
Google Workspace, Slack, Jira, and Confluence, Freshservice, Iru and more
, and partner with business owners on departmental systems. Lead implementations, migrations, and consolidation projects with clear support and administrative ownership.
Build better workflows through automation and AI.
Expand integrations across Freshservice, Okta, Slack, Confluence, and other services. Develop and maintain bots and AI agents that answer employee questions, use company knowledge, and handle service requests, with appropriate monitoring and controls.
Support practical AI adoption.
Manage the rollout and administration of tools such as
Claude and Cursor
, including employee access, licensing, usage allocations, spending visibility, and support.
Manage technology spending and suppliers.
Own IT budget planning and tracking, vendor relationships, commercial negotiations, renewals, and license optimization. Lead technical assessments within
ZIP
procurement workflows alongside Procurement, Finance, Legal, and Information Security.
Strengthen security and operational continuity.
Partner with Information Security to implement controls across IT-managed systems, support audits and access reviews, and address control gaps. Maintain recovery procedures, system documentation, and backup ownership for critical services.
Who You Are:
An experienced IT leader with
10+ years in corporate IT or infrastructure
, including
4+ years managing teams
, ideally in a global technology company.
A hands-on technical leader who can move comfortably between coaching a team, planning a deployment, troubleshooting an integration, and managing a vendor escalation.
Experienced in identity and access management, SaaS administration, endpoint management, networking, and IT service delivery. Familiarity with
Okta, Google Workspace, Cisco Meraki, and Freshservice
, or comparable platforms, will help you succeed.
Comfortable delivering technology infrastructure for new offices or operational sites, including coordinating connectivity providers, contractors, and installation schedules.
Skilled at improving processes through APIs, integrations, and automation, with practical experience applying AI to internal support or employee workflows.
Commercially minded, with experience managing budgets, negotiating with suppliers, and improving software and hardware spending.
A clear communicator who builds strong working relationships across Operations, Engineering, Information Security, People, Finance, and other business teams.
Organized, resourceful, and comfortable managing competing priorities in a fast-moving environment. You follow problems through to resolution and build processes that help prevent them from recurring.
Compensation and Benefits
Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable
Salary Range: $190,000-$230,000
Comprehensive health coverage, with low-cost dental and vision plans
A 401(k) with a generous company match and vesting
Fully paid parental leave for new parents, with extended leave options
Additional benefits (mental health, pet insurance, and other wellness perks)
20 days of paid time off (PTO) annually
Via is an equal opportunity employer.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist who combines deep chemistry knowledge with machine learning expertise to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be a computational chemist who knows reactions, synthesis, and medicinal chemistry in depth and has hands-on experience training and evaluating machine learning models. Above all, you'll build the reinforcement learning environments, datasets, and evaluations that teach Claude chemistry. Working alongside our bench chemists and AI researchers, you'll turn real chemistry problems and experimental data into training tasks and measure whether the models get better at them.
This role is fully on-site in the San Francisco Bay Area.
Key responsibilities
Design and build reinforcement learning environments for chemistry end to end, including task design, data curation, automated grading, and checks against shortcuts and data leakage
Design and source new experimental datasets, environments, and evaluations with our bench chemists, and external research and academic partners
Develop evaluations that measure model performance on real chemistry tasks, such as reaction outcome prediction, synthesis planning, structure elucidation, and compound design, and feed results back to research teams
Run and analyze training experiments with AI research teams, diagnose where models fail at chemistry, and prioritize what to build next
Ensure datasets and environments are high quality and well documented, including sources, train and test splits, and failure modes
Communicate findings clearly to chemistry, AI research, and life sciences audiences
Minimum qualifications
PhD in chemistry, computational chemistry, or a related field
Deep knowledge of organic and medicinal chemistry, including reactions, synthesis, and SAR, with experimental data as your ground truth
Strong Python skills and solid machine learning fundamentals, with hands-on experience training and evaluating models
Comfort navigating ambiguity and defining problems in a rapidly evolving research environment
Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills
Preferred qualifications
Experience with reinforcement learning, large language models, or building evaluations and benchmarks
Track record of supporting drug discovery programs alongside medicinal and synthetic chemists
Experience curating chemistry datasets from the literature, patents, or lab notebooks, including reaction, ADMET, and spectroscopic data
Cheminformatics and molecular modeling skills, for example RDKit, docking, free energy calculations, or quantum chemistry
Hands-on synthetic or medicinal chemistry experience at the bench
Publications, patents, or open-source software demonstrating scientific impact
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$300,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Chicago, IL
In a nutshell:
IDEO Chicago is seeking an
Experience Specialist
to support the success of design teams and our studio’s internal community from both an operational and cultural perspective. You’ll use your insight and curiosity about needs and challenges to stay a few steps ahead and elevate the bar for how we execute on the client and community experience.
It’s not enough for our values* and belief in design excellence to surface only in the work we do with clients. We expect that the look and feel of our workplace, and the experiences we host at IDEO, will reflect our brand authentically as well. Our Experience Team treats large and small “moments” with equal potential to inspire people. Sometimes this means planning ahead for formal events in order to deliver signature interactions. Sometimes it means shifts in furniture or protocols that refresh our state of mind on a daily basis. Our Experience Team has a “no task too big or small” attitude with a natural inclination to pitch in and get our hands dirty (sometimes literally).
We expect the Experience Specialist to have a “no task too big, no task too small” attitude with a natural inclination to get their hands dirty (sometimes literally).
Once you are here you will:
Contribute to the day-to-day running of the office (calendaring, hospitality, logistics, supplies, studio environment), in a hands-on manner, in collaboration with the Experience Team and others.
Be present in the studio to ensure timely preparation, set-up, and coordination of meetings and events (sometimes past normal working hours).
Help prioritize requests for meetings, rooms, and catering and resolve conflicts when necessary.
Help design and coordinate on-brand, hospitality-focused experiences for clients, guests, and colleagues.
Build relationships and a local network especially with caterers, local restaurants, and other food vendors to grow resources for outstanding experiences.
Welcome clients and visitors by helping to coordinate their travel and logistics.
Relevant experience:
At least 2-3 years of experience in a related role.
Experience in hospitality, theatre or stage production or a “concierge” type of role in a design studio, creative consultancy or corporate environment.
Excellent coordination, time management and organizational skills.
Natural ability to prioritize tasks.
Success at managing a high-volume of responsibility in a fast-paced environment.
A “no job too small” mentality.
Enthusiasm for collaborating with a variety of personalities and work styles.
Proficient with standard cloud based applications (Google Apps).
Helpful and empathetic, able to think and react on your feet.
Calmness and resilience, comfortable with handling tasks and meeting deadlines in a fast-paced environment.
Interest in working in a creative environment.
*IDEO Values are: Be Optimistic, Collaborate, Take Ownership, Embrace Ambiguity, Talk Less, Do More, Learn from Failure, and Make Others Successful.
What does IDEO offer you?
IDEO is a place where you can solve diverse, complex challenges for our clients and their organizations, alongside thoughtful, intelligent individuals who lead with curiosity, empathy, and humility. We intentionally craft moments that allow our community to pause, create, and connect. We encourage our community to bring their whole selves to work, respect the need for work-life balance, and allow for autonomy in the design process and your career.
Payscale & Benefits
IDEO is committed to paying its employees, contractors & vendors equitably, regardless of gender identity or race/ethnicity/cultural identity.
The role is in-person
Monday - Friday 10am to 2pm daily
. The hourly range for this role is based on candidate experience, location, and other factors. If this role converts into a full-time position, this role is eligible for employee benefits.
Application instructions:
If you identify with our values and would love to contribute to our office, please submit your resume and cover letter.
Location: Boston, MA; San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and society as a whole. As an Enforcement Analyst focused on Agentic Alignment, you will play a crucial role in identifying and investigating harmful and unexpected behavior by models, and make enforcement decisions accordingly. You'll work closely with a suite of cross-functional teams, within and outside of Safeguards, including: Policy, Threat Intel, Engineering, Research, and Transparency. Your work will be essential in maintaining Anthropic's commitment to safe and beneficial AI as Claude takes on more autonomous work.
Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams.
Key responsibilities
Review and investigate potential instances of Agentic Misalignment, working from transcripts, tool-use traces, and code
Triage cases by severity and urgency and share through the appropriate channels
Help operationalize review pipelines for agentic cases, translating leads from detection outputs and investigations into structured review workflows that scale
Make enforcement decisions under the Usage Policy, applying it consistently to novel agentic scenarios and across surfaces, and documenting the reasoning behind each decision
Assess cyber-related agentic activity, such as scanning, exploitation attempts, credential misuse or malicious code to determine its real-world harm potential
Write clear, well-evidenced case write-ups for audiences ranging from enforcement peers to senior leadership
Identify patterns and trends across cases, and close the loop between enforcement outcomes and upstream improvements by feeding findings back to policy, detection and research teams to improve policies, classifiers and model behavior
Maintain rigorous documentation of enforcement decisions, review logic and precedents to build institutional knowledge
Collaborate with Threat Intelligence, Research, Engineering and Policy partners so that detection coverage keeps pace with how agentic misuse and misaligned behavior evolve
Use AI systems, including Claude, to accelerate your own investigations: summarizing long transcripts, analyzing code, querying data and building lightweight tooling
Contribute to regular reports on agentic harm trends and enforcement outcomes
Minimum qualifications
Can read and understand code (for example Python, JavaScript or shell scripts) well enough to follow what happened and why it matters
Have a background in security, cyber threat intelligence, or a similar technical field that lets you understand how cyber harm happens and judge its severity
Have experience in trust and safety, enforcement, investigations or a related field, translating ambiguous policy questions and facts into defensible enforcement decisions and clear written findings
Have conducted structured investigations, building a case from first signal to final finding and knowing when the evidence is strong enough to act on
Have supported or contributed to formal enforcement actions, including case documentation, evidence packaging and escalation coordination
Write clearly and concisely, and can present complex findings to stakeholders across Legal, Policy and Engineering, including non-technical audiences
Have sound judgment about when a case needs escalation, and the resilience to work with difficult content
Preferred qualifications
Have demonstrated use of AI systems to accelerate your own work, and are excited to keep finding new ways to do so
Are comfortable working with large volumes of data, from long transcripts, logs and traces to complex, multi-table datasets, and surfacing the behavioral patterns that matter
Are curious about how AI agents behave, and enjoy investigating behavior no one has categorized before, building approaches where established playbooks don’t exist
Have familiarity with AI safety and alignment, and current debates about the risks of increasingly autonomous AI systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$245,000
—
$285,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Singapore
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking an Enterprise Account Executive, Industries – Manufacturing to lead Anthropic’s go-to-market in Taiwan from our Singapore hub. You will bring Claude to Taiwan’s leading high-tech manufacturers in semiconductors, electronics, and the AI hardware supply chain, helping them apply AI across engineering, operations, supply chain, and corporate functions. You will own the full sales cycle with C-suite and senior technical stakeholders, working with Product, Engineering, Applied AI, and Partnerships to shape solutions that fit the market. As one of Anthropic’s first commercial presences covering Taiwan, you will also help define our regional strategy and build the foundation for long-term growth, in a way that reflects Anthropic’s mission to ensure the world safely makes the transition through transformative AI.
Key responsibilities
Meet and exceed revenue targets by winning new enterprise accounts and expanding existing ones, while landing flagship references across Taiwan’s semiconductor, electronics, and broader manufacturing sectors
Build and execute a territory plan that reflects Taiwan’s manufacturing landscape, including its buying behavior, regulatory environment, and data residency expectations
Lead consultative sales with C-suite and senior technical leaders, positioning AI as a driver of business transformation
Translate Claude’s technical capabilities into clear business value for manufacturing use cases
Run technical discovery with engineering leaders and speak credibly about security, IP protection, and deployment options with customers whose designs and process data are their most sensitive assets
Partner with Product, Engineering, Applied AI, and Partnerships to design tailored solutions and support complex deals
Build co-sell motions with hyperscaler and system integrator partners, including joint customer engagements and marketplace procurement, to extend reach across the territory
Identify new use cases and feed customer and market insights back into the product roadmap
Represent Anthropic with customers, partners, and industry stakeholders in Taiwan, including conversations about the safe and responsible use of AI
Minimum qualifications
10+ years in enterprise sales, business development, or account management, including selling to semiconductor, electronics, or other manufacturing customers in Taiwan
Deep understanding of Taiwan’s high-tech manufacturing ecosystem, including how leading companies organize engineering, manufacturing, and supply chain functions, and where AI creates measurable value
Track record of closing complex, multi-stakeholder enterprise deals
Existing commercial network among Taiwan-based enterprises
Fluency in Mandarin and English, with strong written and verbal communication and presentation skills
Strong commercial judgment and the ability to work independently in a fast-moving, early-stage market
Based in or willing to relocate to Singapore, with eligibility to work there and willingness to travel frequently to Taiwan
Bachelor’s degree in a related field or equivalent experience
Preferred qualifications
Experience selling AI/ML, cloud, data platforms, or enterprise SaaS into manufacturing, semiconductor, electronics, or industrial sectors
Experience co-selling with hyperscaler, channel, or SI partners
Familiarity with regional data residency, AI governance, IP protection, and enterprise procurement requirements
Interest in or experience with advanced AI systems and their safe development
Understanding of Taiwan’s competitive and sovereign AI market, including hyperscaler presence, government-backed local models, and manufacturers building their own models
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As Product Counsel, you will be a hands-on legal partner to the teams building Claude for consumers and businesses. You'll work across Claude's apps, subscriptions, growth programs and enterprise offerings, moving to wherever the need is greatest. You'll learn from experienced product lawyers, get close to the product quickly, and take on more ownership as you go. This is a generalist role for someone who wants range, likes a fast pace, and is ready to do the routine work and the novel work with the same care.
Key responsibilities
Partner with Product, Engineering, Design and other cross-functional teams to give clear, practical legal guidance from early ideas through launch
Review product launches across Claude's consumer and enterprise offerings, spotting issues early and helping teams find a path forward
Advise on subscriptions, pricing, promotions, billing and other growth programs, including consumer protection and marketing rules
Support enterprise and regulated-industry products on topics such as admin controls, customer commitments and enterprise readiness
Draft and review user-facing terms, disclosures, in-product copy and marketing claims
Pull in privacy, commercial, IP, safety and other specialists, then return one integrated answer to your product partners
Build guides, templates and AI-powered workflows so routine questions get answered quickly and the team can focus on novel ones
Pick up new areas as priorities shift, and help with incidents and escalations when they come up
Minimum qualifications
Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based
At least 4 years of relevant legal experience, with exposure to technology, consumer or regulated products
Experience advising business or product teams directly, not only other lawyers
Working knowledge of at least two of: consumer protection, privacy, advertising and marketing law, technology transactions, IP, or regulated industries
Curiosity about how AI products work, and the ability to pick up technical concepts quickly
A habit of making a clear recommendation, even with incomplete information
Comfort moving between assignments as priorities change, with no job too big or too small
Clear, concise writing that non-lawyers can act on
Openness to feedback and a track record of improving quickly
Experience using AI tools in your legal work, or a strong interest in learning to do so
Empathy and a service orientation, with a real commitment to Anthropic's mission
Preferred qualifications
In-house product counsel experience, or a secondment with a product team
Experience with subscription businesses, promotions, or consumer billing
Experience supporting enterprise SaaS or regulated customers such as healthcare or financial services
Experience building playbooks, self-serve guidance or legal automation
Role-specific policy:
For this role, we expect all staff to be able to work from our San Francisco office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.
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
—
$335,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Boston, MA; San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Safeguards team plays a critical role in ensuring our AI systems are deployed safely, responsibly, and in line with our values.
As an Incident Manager, you will manage Safeguards incidents involving our AI systems from declaration through closure. You will assess severity, bring in the right people from Legal, Communications, Policy, Threat Intelligence, Security, Engineering, and research teams, keep leadership informed, and see follow-up work through. You will also oversee the Safeguards Enforcement on-call queue on a rotating basis, and help build and scale the incident response program, including runbooks, post-incident reviews, and automation of routine work.
Important context for this role: in this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, sexual, or psychologically disturbing nature. This role also includes after-hours and weekend incident coverage on a rotating basis.
Key responsibilities
Serve as incident commander for Safeguards incidents from declaration through closure
Assess what qualifies as an incident, propose severity, and coordinate responders across Legal, Communications, Policy, Threat Intelligence, Security, Engineering, and research teams
Keep everyone working from the same facts by tracking input from each team, establishing what is known, what has changed, and what is still open, and sending regular updates that executives and partner teams rely on
Make sure Legal, Communications, and Public Policy are consulted before decisions that need them, and coordinate any external notifications
Run post-incident reviews, assign action items to named owners, and track them through closure
Oversee the on-call queue during your rotation as the first responder for urgent requests and escalations to Safeguards Enforcement
Triage each request, resolve what you can, route the rest to the owning team, and recognize when a request is the start of an incident
Take part in after-hours and weekend incident coverage on a rotating basis
Scope and deliver projects that improve the incident response program, such as on-call automation, incident readiness, and post-incident reviews and metrics
Draft and maintain runbooks and standard operating procedures
Work with Safeguards engineers to automate or reroute requests by writing the decision rules and testing the result
Maintain the incident record and the metrics that show leadership how the program is performing
Minimum qualifications
Experience running incidents or urgent escalations from start to finish in trust and safety, security, platform integrity, crisis management, or a comparable field, and readiness to lead high-severity incidents with support
Hands-on experience with incidents where someone was abusing or misusing a product or platform, such as account compromise, fraud, or coordinated malicious activity
Ability to make clear decisions under time pressure, record your reasoning, and recognize when a decision belongs to Legal, Policy, or leadership
Ability to write short, accurate updates that an executive can act on and that hold up to legal and external scrutiny
Experience coordinating people across many functions who do not report to you, securing their commitments, and following through on them
Experience improving an operational process on your own initiative, and the ability to tell which steps need a person and which can be automated
Willingness to do hands-on queue work as a regular part of the job, and to treat it as a source of information about what is breaking
Ability to participate in after-hours and weekend incident coverage on a rotating basis
Preferred qualifications
Experience joining an incident response function early and helping write runbooks and review processes
Experience with incidents involving AI systems
Experience with the enforcement steps that follow an incident, such as account actions, law enforcement referrals, or user and customer notifications
Experience working with threat intelligence or security investigation teams during an incident
Experience with regulatory or external incident reporting and disclosure
Experience running an on-call rotation or support escalation queue, including setting and measuring response targets
Experience using AI tools to automate triage, summaries, or routine decisions, with checks on quality
Working knowledge of SQL or similar tools for analyzing incident and queue data
Experience designing and facilitating tabletop exercises
Genuine interest in AI safety and responsible technology development
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:
$245,000
—
$285,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is looking for a Communications Lead to own external communications for the Claude Platform, our API. The Claude Platform is how many of our customers put Claude to work, and this role shapes how that work is understood beyond Anthropic: from flagship product launches to the steady cadence of capability releases and developer-facing news.
You'll sit on the Product Communications team and work day to day with the Platform product and engineering teams, Product Marketing, and Developer Relations.
You should understand how developers and enterprises actually build with APIs and be comfortable engaging with developer tools and hold a clear point of view on what makes a product land.
Key responsibilities
Own communications for the Claude Platform end to end: capability releases, product updates, and the steady cadence of developer-facing news
Build and maintain strong relationships with the journalists, newsletter writers, and creators covering AI platforms, enterprise software, and the API economy
Prepare Platform leaders to be effective spokespeople for press, podcasts, panels, and the smaller moments in between
Partner with Product and Engineering to align external narratives with how these products are sold and supported, and surface customer feedback back to the teams who can act on it
Work across press, social, owned, and community channels, with the judgment to know which one carries a given moment and when to coordinate more than one at once
Minimum qualifications
Experience in communications, PR, or product marketing, including meaningful time on platform, API, developer, or enterprise products
An understanding of both developer culture and enterprise buying, and the judgment to read timing and tone when the conversation around AI gets noisy
Strong instincts for which product moments deserve the spotlight and which don't, and genuine curiosity about what makes a launch land
A demonstrated ability to operate with high agency and low ego, with a bias to action
Preferred qualifications
8-10 years of experience in communications, PR, or product marketing
Communications experience at a developer platform, API-first, or enterprise software company
Existing relationships with reporters and analysts covering AI platforms, enterprise tech, or the developer ecosystem
Experience managing communications for AI or ML products
Are very online: you follow the right channels, know what's moving through Hacker News and developer social chatter, and catch things early
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
—
$295,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: United States
Workplace: Remote
Coder's Revenue Enablement team is building out onboarding and ramp for every customer-facing function — SDR, AE, SE, CSM, and FDE. We're looking for a Sales Onboarding Program Manager who can own that curriculum end to end: designing, running, and continuously improving how new hires ramp from day one to full productivity.
This isn't a single-audience onboarding role. You'll build ramp programs that flex across distinct functions with different skill requirements — commercial, technical, and delivery — while keeping a consistent bar for what "ready" looks like across all of them. You'll work closely with our technical enablement and sales performance functions to make sure ramp content stays current with product, methodology, and process as the company scales.
WHAT YOU'LL DO
- Design and own the onboarding curriculum and certification framework for new hires across AE, SE, CSM, and FDE roles
- Build structured ramp timelines (30/60/90-day plans) with clear milestones, checkpoints, and certification gates for each function
- Partner with technical enablement, sales performance, and functional leaders to keep ramp content aligned with current product, methodology (e.g., MEDDPIC, deal qualification frameworks), and sales/delivery process
- Track and report on ramp metrics — time-to-productivity, certification completion, early performance indicators — and use that data to iterate on the program
- Coordinate logistics and scheduling for cohort-based onboarding (live sessions, shadowing, certification exercises)
- Build and maintain a scalable content/documentation system so onboarding materials stay current as the team grows and product evolves
- Gather feedback from new hires and their managers to continuously refine the program
- Serve as the primary point of contact for new hires during their ramp period
WHAT WE’RE LOOKING FOR
- 4+ years in program management, enablement, or L&D, ideally in a B2B SaaS or technical sales environment
- Demonstrated ability to build structured, repeatable programs from scratch — not just run existing ones
- Strong project management instincts: you default to milestones, checklists, and metrics rather than ad hoc coordination
- Comfort designing curriculum for both commercial and technical audiences, or a fast learner's willingness to get conversant in technical sales motions
- Excellent written communication — you'll be creating a lot of the source material new hires learn from
- Experience partnering cross-functionally with sales, product, and marketing
ABOUT CODER
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
INTERVIEW PROCESS
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI USE DURING THE INTERVIEW PROCESS
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
OUR USE OF AI IN HIRING
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
Location: New York, US [Hybrid]
Workplace: OnSite
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.
We are looking for a Data Centre Operations Engineer to join our expanding Infrastructure Operations team. Data Centre Operations is a ‘hands-on’ role that is critical to the continuing success of Kraken; you will join a highly motivated team that is responsible for managing the entire network and compute infrastructure for one of the world’s leading Cryptocurrency exchanges. We are looking for a dynamic and innovative self-starter with the ability to think “outside of the box” to solve complex problems in a sustainable way.
This role requires onsite work in New York/New Jersey area.
THE OPPORTUNITY
- Performs expert preventive and corrective on-site maintenance on critical exchange infrastructure
- Installs and configures complex server and networking systems
- Provides comprehensive on-site facility support, including installation, decommissioning, and break/fix work
- Manages contractors, subcontractors, and vendors to ensure compliance with site procedures
- Responsible for maintaining site-level asset accuracy, documentation, and ITAM, NetBox (IPAM, DCIM) updates. Ensuring all documentation and rack layouts remain accurate, audit-ready, and traceable
- Supports financial and capacity planning through cost projections and renewal tracking
- Leads or assists in capacity planning to maintain adequate spare capacity and plan timely backfills
- Assume on-call responsibilities and duties per the schedule & travel as needed to support physical data centre and office locations
- Monitors, maintains, and troubleshoots physical infrastructure, including on-call and travel duties as required
WHAT YOU BRING
- 3 + years experience of data centre operations in a highly security focused environment
- 3 + years experience working in a large-scale data centre environment
- Experience with power, cooling and airflow management of physical devices.
- Basic knowledge of IP addressing and subnets/gateway configuration.
- Demonstrated accountability for site or system ownership in a large-scale environment.
- Physical network work: precise cabling and patching to a port map, choosing the right optics and cables, and ordering and removing cross-connects with colocation providers.
- Change and access control: raising change tickets and working within maintenance windows. Site-access tickets, escorting visitors, and badge and door-controller faults.
- Logistics: inbound shipment tickets, loading-bay handoffs, and shipping kit between sites.
- New-site build-out: planning and executing new site installs, including rack layouts, patching and power plans, quote checks, and incident reports. This is project work as well as operations.
- Multi-region work: collaboration across the US, EU, UK and APAC.
- Strong documentation discipline and ability to maintain a single source of truth for assets, capacity, and dependencies.
- Understanding of financial planning or forecasting in an operational context.
- Ability to collaborate across teams and regions with transparency and professionalism.
- Ability to perform under pressure with high attention to detail.
- Physical labour skill, able to lift more than 25 kgs
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 X 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
Location: London
Workplace: onsite
THE OPPORTUNITY
We are building Watcher, a coding agent security product. Watcher is deployed in production and monitors billions of agent tokens per month across engineering teams at agent-building scale-ups and multinational enterprises.
We are hiring our founding Account Executive. You will own the sales cycle from qualified interest to signed contracts and build the playbook the rest of the GTM team runs on.
Our deals start with a security champion: a principal security engineer or director of product security who has seen what coding agents do inside their org and wants Watcher. Deals are won by taking that champion's interest and moving it through the rest of their organisation to a committed evaluation: the platform team that thinks it could build this itself, the CISO who has to sponsor it, the procurement and legal functions that have to let it in. That handoff, including the build-vs-buy conversation, is where deals stall today. Running it well is the core of this job.
We are hiring forward-deployed engineers (FDEs) who run the technical evaluation with you. You own the commercial thread: who needs to say yes, what the evaluation has to prove, and how it converts. You'd work closely with our GTM lead and GTM associate who owns the top of the funnel.
KEY RESPONSIBILITIES
Convert a champion into an evaluation
Find the champion in each qualified account, arm them with what they need to sell internally, and map who else has to say yes.
Run the build-vs-buy conversation with platform and security engineering teams on its merits: what they would have to build, maintain and be on the hook for, against what Watcher already does.
Secure an executive sponsor and convert interest into a scoped proof of value (POV) with success criteria agreed up front.
Run evaluations to a decision, with FDEs
Partner with FDEs on technical evaluations. They run the technical work; you keep the evaluation pointed at the decision: momentum, stakeholder coverage, and the commercial case.
Build the commercial and ROI case that secures executive-level investment.
Own commercial negotiation, security review, procurement and close in multi-stakeholder cycles involving security, engineering, procurement, legal and executive decision-makers.
Create the way in
Identify warm introductions paths via investors, advisors, clients, partners and networks. Brief connectors and draft the messaging that makes the introduction land.
Capitalise on high-value engagement opportunities: speaking panels, hosted roundtables, buyer communities and embedded partners.
Work with the GTM team on targeted outbound into segments where we have something specific to offer.
Build the playbook and hire the team
Write down what works: qualification criteria, discovery questions, the build-vs-buy argument, POV structure, pricing guidance, objection handling, security questionnaire answers.
Report on pipeline health, stage conversion and what is working well enough to double down on.
Product and market insights
Bring honest signals back about why deals progress or stall, and what buyers compare us against when they consider building it themselves.
Work with the product team on positioning, pricing, and the collateral enterprise buyers actually ask for.
REPRESENTATIVE PROJECTS
Turn a champion into a buyer.
Take an account where a principal security engineer loves the product and nothing has moved for two months. Map who else needs to say yes, run the build-vs-buy conversation with the platform team, get an executive sponsor, and convert it into a scoped evaluation with success criteria and a date.
Compress the cycle.
Enterprise evaluations in this market routinely take longer than they need to. Take the process apart with the FDEs, work out where the time actually goes, and rebuild it so an evaluation reaches a decision faster.
Land a lighthouse enterprise
. Take a large, slow, security-conscious organisation from first conversation through technical evaluation, security review and procurement to a production contract, and turn the process into a documented path the next one can follow.
Write the playbook.
By the time we add the next two people to this team, the thing that gets them productive in a month rather than six should be something you wrote.
JOB REQUIREMENTS
Must-haves
5+ years in GTM
, with a track record of closing five- and six-figure ACV technical deals as an AE into engineering or security organisations. You have personally taken a technical champion's interest through the rest of their org to a signed contract, and you have won the build-vs-buy argument more than once. Proven success selling a technical product to technical buyers matters more to us than total AE tenure.
Early-stage experience.
You have sold at an early-stage company before it had a machine.You have 2+ years in a startup without mature marketing, no SDR team, no brand recognition doing the work for you. You generated your own pipeline, decided what to work on, and wrote down what worked.
Technical credibility with a technical buyer
. Our buyers are directors of product security, principal security engineers and engineering leaders. You can run discovery with them, understand the architecture well enough to be useful and know when to bring in an FDE.
Strong nice-to-haves
You have closed into large, slow organisations. Our pipeline includes banks, quant funds and enterprise technology companies. You have run deals through security review, architecture review and procurement, and have a realistic sense of how long that takes and how to compress it.
You have sold security, developer tools, or infrastructure.
Non-linear background. Former founder, operator, or a hybrid role that combined selling with product or strategy.
Explicitly not required
Formal AI safety background. We need an excellent seller who can learn the AI safety context, and we will teach you what you need to know.
Management experience. This starts as an individual contributor role.
BENEFITS
This role offers market competitive salary, equity, and competitive benefits.
Base Salary:
£85,000 - £129,000;
Variable: performance incentives against ARR targets
Everyone at Apollo effectively has an unlimited token budget. If a better result costs more compute, use it.
Flexible work hours and schedule
Unlimited vacation
Unlimited sick leave
Up to 6 months of paid parental leave
Comprehensive health, dental and vision insurance
Retirement savings with competitive employer matching
Lunch, dinner, and snacks are provided for all employees on workdays
Paid work trips, including staff retreats, business trips, and relevant conferences
A yearly $1,000 (USD) professional development budget
Relocation support and visa fees (if applicable)
LOGISTICS
Time Allocation:
Full-time
Location:
This is an in-person role working out of our London office, with regular travel to conferences and customer sites. We offer flexible working hours and some wfh arrangements.
Visa sponsorship:
We sponsor visas in the UK. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route.
ABOUT THE TEAM
You will work directly with Kyle Dai, our GTM lead and GTM associate on the pipeline, as well as the FDEs we're hiring to run the technical evaluations alongside you. Marius Hobbhahn (CEO) advises the team. You will also interact with our other SWEs and researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here.
ABOUT APOLLO RESEARCH
The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight.
We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here.
We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively.
Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation.
HOW TO APPLY
Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples, including anything you have written.
About the interview process: Our multi-stage process includes a screening interview, a take-home exercise (2-3 hours), 2-3 technical interviews, and a final interview with Marius (CEO). If you want to prepare, we suggest using a coding agent heavily for a week and forming your own view on who should be buying something like Watcher, and why.
Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. All resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.
Location: London
Workplace: onsite
THE OPPORTUNITY
We are building Watcher, a coding agent security product. Watcher is deployed in production and monitors billions of agent tokens per month across engineering teams at agent-building scale-ups and multinational enterprises.
We are looking for our first Go-To-Market Associate to build Watcher's pipeline engine and bring a qualified pipeline to the Founding Account Executive.
Think of the role as a BDR / GTM engineer hybrid. Half the work is finding and reaching the right people inside the right companies. The other half is building the systems that make that repeatable: signal detection, enrichment, sequencing, reporting. A good chunk of this job should be automating the previous version of this job.
There is no marketing function for Watcher today. Until there is, you own the parts of marketing that produce the pipeline: events, target personas, and getting our research in front of the people who should read it. Our ideal customer profile and target market are set together with product and the GTM lead. Within those accounts, you decide who we reach, how we reach them, and which experiments we run to find out which segments are real.
You will work directly with our GTM lead. As we grow, this role can develop toward owning deals as an account executive, GTM engineering and operations, or partnerships, depending on where your strengths are.
KEY RESPONSIBILITIES
Build the pipeline engine
Work out which companies are deploying coding agents at scale, who inside them feels the problem, and which of them we should spend time on.
Research accounts and people. Work out whether we have something useful for this person and what it is.
Personalize the outreach. Short, specific, honest messages that a busy security engineer will reply to.
Run outbound as a set of experiments rather than a volume target: test segments, messages, and channels against each other, read the results honestly, and kill what is not working.
Hand qualified conversations to the AE and GTM lead with the context they need to run them well.
Pipeline operations and tooling
Turn repeated manual work into tooling: signal detection for who has started deployment agents, enrichment, sequencing, CRM automation, and the reporting that shows what top of funnel is actually producing.
Maintain best-in-class CRM hygiene: accurate notes, activity logging, dispositions, and next actions. Everyone has visibility where every live opportunity stands and what it is waiting on.
Events and conferences
Own the conference motion end to end. Decide which events are worth attending. Attendee research and prioritisation, pre-show outreach, booked meetings before the doors open, logistics on the day, and follow-up out within 48 hours.
Make the team effective in the room: briefs on who is coming, what they care about, and what we want out of each conversation.
REPRESENTATIVE PROJECTS
Build the signal engine.
Write the thing that tells us which companies started deploying coding agents at scale this month, from job posts, engineering blogs, change logs, conference talks and hiring patterns. Score them, attach the right persona, and drop them into the CRM ready to work.
Own a conference end to end.
Take a sponsored conference: work the attendee list, research and rank who is worth our time, run the pre-show outreach, land a target number of booked meetings before day one, and have every follow-up sent within 48 hours of the close. Write up the parts worth repeating.
Make how we approach a new account repeatable.
Turn the way we research and open a company into something anyone here could run, and then into something that mostly runs itself.
JOB REQUIREMENTS
Must-haves
Around 2+ years in a role
where you had to find and open conversations with people who did not know you, and nobody handed you a list: early-stage BDR or SDR, founder's associate, consulting where you were involved in business development or building a practice, solutions or customer-facing engineering, or running your own thing. You do not need to be a formally trained salesperson. If you've built pipeline from scratch in another context, we'd love to hear about it.
You have a track record of building:
You can show us something you built to avoid doing a task twice e.g. a scraper, an enrichment flow, a CRM automation, a vibe-coded internal tool.
High agency and ownership.
You see what needs doing and do it. When something stalls, you find out why and move it, rather than reporting that it is stalled. You want the responsibility of deciding where our effort goes, not just executing a list.
Startup pace.
Excited by a fast-moving environment, comfortable with ambiguity and changing priorities, and willing to grind when it matters.
Technically curious.
You need to get interested in how coding agents work and how they fail, well enough to hold a credible conversation with a security engineer and know when to hand off to someone deeper.
Strong nice-to-haves
Background in cyber security, developer tools, or AI/ML
Comfortable leveraging AI heavily
for tooling, research, drafting and operations, while holding the output to a high standard.
Experience in founder-led sales.
You have supported a founder or a first GTM hire directly and understand how that relationship works.
Comfort with GTM tooling and light scripting.
CRM, enrichment, outbound tooling, or anything you have built yourself to avoid doing something twice.
Explicitly not required
Formal AI safety background.
We need an excellent operator who can learn the AI safety context, and we will teach you what you need to know.
A sales title.
BENEFITS
This role offers market competitive salary, equity, and competitive benefits.
Base Salary:
£72,000 - £98,000;
Variable: performance incentives against ARR/qualified pipeline targets.
Everyone at Apollo effectively has an unlimited token budget. If a better result costs more compute, use it.
Flexible work hours and schedule
Unlimited vacation
Unlimited sick leave
Up to 6 months of paid parental leave
Comprehensive health, dental and vision insurance
Retirement savings with competitive employer matching
Lunch, dinner, and snacks are provided for all employees on workdays
Paid work trips, including staff retreats, business trips, and relevant conferences
A yearly $1,000 (USD) professional development budget
Relocation support and visa fees (if applicable)
LOGISTICS
Time Allocation:
Full-time
Location:
This is an in-person role working out of our London office, with regular travel to conferences and occasional travel to customer sites. We offer flexible working hours and some WFH arrangements.
Visa sponsorship:
We sponsor visas in the UK. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route.
ABOUT THE TEAM
You will work directly with Kyle Dai, our GTM lead, and alongside the our founding Account Executive who runs the deals your pipeline feeds. Marius Hobbhahn (CEO) advises the team. You will also interact with our other SWEs and researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here.
ABOUT APOLLO RESEARCH
The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight.
We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here.
We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively.
Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation.
HOW TO APPLY
Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples, including anything you have written.
About the interview process: Our multi-stage process includes a screening interview, a take-home exercise (2-3 hours), 2-3 technical interviews, and a final interview with Marius (CEO). If you want to prepare, we suggest using a coding agent heavily for a week and forming your own view on who should be buying something like Watcher, and why.
Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. All resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Our Strategic Deals team originates, structures, negotiates, and closes the deals that secure the compute Anthropic uses to train and serve frontier AI systems. We work closely with engineering, infrastructure, finance, legal, product, and go-to-market teams to expand Anthropic's access to cloud capacity, silicon, networking, and the financing behind them.
We are hiring several Strategic Deals Leads focused on compute and infrastructure. In this role, you will source opportunities, design partnerships, and negotiate high-value agreements with some of the world's largest technology companies, and you will connect deal terms to structured finance solutions. Your work will directly shape how quickly and reliably Anthropic can bring new compute online.
Each hire will bring deep expertise in one or more of these areas while working across the broader infrastructure stack:
Cloud compute:
building and running a pipeline of capacity across established and emerging cloud providers, and structuring the financing that connects capacity commitments to their economics.
Compute infrastructure:
going deep into the silicon supply chain, structuring co-development and early-access deals with semiconductor and emerging hardware companies, and securing networking, backbone, and memory supply.
Compute partnerships:
owning multi-year partnerships with the largest cloud providers, where compute commitments, financing structures, model availability on partner platforms, marketplace and co-sell arrangements, and pricing and revenue-share constructs are negotiated together.
Key responsibilities
Own deals end to end in your focus area, from opportunity identification and term sheet development through diligence, negotiation, internal approval, close, and post-close execution
Lead negotiations for complex, high-value agreements with hyperscalers and other cloud providers, semiconductor and hardware suppliers, networking and memory vendors, data center operators, and emerging infrastructure companies
Bring capital markets and financing thinking to every transaction, including vendor financing, equipment leasing, capacity prepayments, project finance, and credit and residual value guarantees
Build financial models, term analyses, and commercial frameworks that compare supply options and give leadership a clear view of value, tradeoffs, and risk-adjusted outcomes
Partner with engineering and infrastructure teams to understand future workload requirements and translate them into long-term supply strategies and commercially viable deal terms
Build and own senior relationships with commercial, finance, product, and legal counterparts across the AI infrastructure ecosystem
Drive internal alignment with legal, finance, engineering, product, and go-to-market teams on deal terms, risk parameters, and the approval path for large commitments
Track market, technology, competitive, and financing developments across AI infrastructure, including supply constraints, and turn them into clear recommendations for senior leadership
Represent Anthropic externally with corporate executives, investment banks, and infrastructure investors involved in our transactions
Minimum qualifications
A track record of originating, structuring, negotiating, and closing complex, high-value technology, infrastructure, or capacity transactions as the principal and lead negotiator (not in a supporting or advisory capacity) and the ability to operate independently from day one
Transactional experience in at least one focus area: cloud capacity or data center transactions, semiconductor and hardware supply (accelerators, CPU, memory, or networking, including backbone), or hyperscaler and cloud partnerships
Working knowledge of how large infrastructure commitments are financed, such as vendor financing, take-or-pay obligations, equipment leasing, or project finance, and the ability to shape financing terms alongside commercial terms
Financial modeling skills to build and pressure-test the economics of large infrastructure transactions
Experience developing term sheets and negotiating definitive agreements alongside legal counsel
Ability to work with technical teams and translate engineering requirements into deal structures, contract terms, and strategic business recommendations
Experience negotiating agreements that combine infrastructure or capacity terms with commercial, product, or go-to-market terms, and an understanding of how those components interact
Experience building partnerships and influencing senior stakeholders across internal and external organizations, including executive leadership
Preferred qualifications
8–10+ years of experience in strategic deals, corporate development, partnerships, investment banking, or business development at technology companies, hyperscalers, cloud providers, or financial institutions, with direct transactional ownership
Direct experience working with or inside a hyperscaler on AI or cloud partnerships, including familiarity with model gardens, marketplaces, co-sell programs, and partner economics
Experience managing multiple high-value transactions simultaneously at different stages of maturity and commercial development
Comfort operating in fast-moving, ambiguous environments where market structures, provider economics, and partnership norms are still evolving
A genuine interest in the future of AI infrastructure and in Anthropic's mission of building safe, beneficial AI
We're hiring for several roles on this team.
Apply once, and we'll match you to the focus area that best fits your background.
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
—
$325,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Deliveroo; London, United Kingdom
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
The Team
The Enterprise restaurant team is responsible for the strategic vision, acquisition, management and growth of our partnerships with the world’s largest restaurant groups. In the UK & Ireland, this means the local arms of our largest global brands. Given the scale of these partners, this team is a critical piece of Deliveroo’s growth and success.
3 days in our London HQ is required.
The Role
As a Client Partner, you will lead the relationship, strategy, project planning and account management for one or more of our largest global restaurant partners in the UK & Ireland. You will own the past and future of those relationships: building the annual joint business plan, leading contract negotiations and renewals, and working cross-functionally with marketing, finance, legal, analytics, operations and product to deliver it. You will also work with the partner’s EMEA and global counterparts, and partner closely with the DoorDash and Wolt EMEA and Global team to bring world-class technology and best practices to your accounts.
What you'll be doing
● Own the overall off-premise strategy for your partners across every phase of the relationship (piloting, rollout, support and growth)
● Lead contract negotiations and renewals, agreeing terms that unlock mutual value and grow like-for-like sales and take rate
● Use data and insights (SQL, dashboards and analysis) to find growth opportunities, build the business case for recommendations and sell Deliveroo’s suite of products and services into strategic clients
● Oversee partner-specific needs such as POS integrations, customised reporting, menu optimisation, merchant marketing and operational improvements
● Lead business reviews and present to partner executives and Deliveroo senior leadership, handling challenging questions with confidence
● Work cross-functionally and serve as a working team lead across marketing, finance, legal, analytics, operations, product and support
● Help raise the analytical capability of the team by sharing best practice, and contribute to the hiring and development of the Enterprise team as it grows
Requirements
Requiring a high level of commercial skills, you will demonstrate excellence in selling, negotiation and account management, combined with the passion and drive to shape the culture of an inclusive, sustainable and successful team.
You have 5+ years of experience in management consulting, business strategy and analytics, strategy and operations, investment banking, account management, business development or other analytically-intensive and client-facing roles
You have strong SQL skills: you can pull, read and manipulate large data sets yourself and turn them into insight (other forms of data experience can be considered)
You have a track record of end-to-end problem solving: spotting a problem, ideating a solution and taking it all the way to a measurable, high-value outcome with cross-functional teams
You are an excellent data storyteller who can build a clear narrative from data and present it, and defend it, to senior executives
You have proven success working in cross-functional teams to build creative solutions, with strong project management, organisation and presentation skills
You are a problem solver at core with a strong bias for action, you like rolling up your sleeves as much as you like the big picture, and you are comfortable with a fast pace and several moving parts
You know how to take very broad challenges or opportunities and turn them into actionable projects with clear milestones and goals, with minimal guidance
You have well-developed negotiation skills and the ability to flex your style to all levels and situations
You are comfortable using AI tools day to day to work faster and smarter
Nice to have: experience with global or US brands, tech or startup exposure, marketplace, logistics or unit economics knowledge, and prior people leadership or hiring experience.
Why Join Us?
At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to:
🔧
Make a visible impact every day
Your work directly improves experiences for customers, partners and riders.
🌱
Learn fast in an entrepreneurial environment
Work close to the market with autonomy, pace and real responsibility.
🧠
Build a career, not just a role
Stretch yourself, develop new skills and grow as the business evolves.
🌎
Deliver together in an inclusive culture
Collaborative, values-driven teams that support how you work best.
We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire
here
.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Location: Austin
Workplace: OnSite
LIFE AT UIPATH
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
YOUR MISSION
We're looking for a Senior Executive Assistant who operates as a true business partner — not just to the executives they support, but to the organizations those executives lead.
This person will support three senior members of GTM leadership, each with distinct priorities, cadences, and stakeholder ecosystems:
This is a role for someone who wants to sit close to the business, not just close to the calendar. The ideal candidate thinks several steps ahead, represents their executives' priorities and voice in rooms they aren't in, and uses modern tools, including AI, to work faster, smarter, and with better judgment than a traditional EA function typically allows.
WHAT YOU'LL DO AT UIPATH
We are seeking a strategic thinker who can synthesize context across three different functions teams, anticipate what senior leaders need before they ask, and bring structure to ambiguity. Someone comfortable being a force multiplier — solving problems that don't have an obvious owner and running point on things that matter to the business, not just to the executive's day.
Strategic Partnership
- Act as a true thought partner to the leaders this person supports: understanding their priorities well enough to make judgment calls on their behalf, flag what matters, and filter what doesn't.
- Represent the executives' voice and priorities in cross-functional settings: build enough trust and context to speak for them when needed. Good at asking clarifying questions regularly to stay in sync in a fast-paced environment.
- Anticipate needs across three distinct leadership agendas and proactively manage competing priorities without losing sight of any of them.
Cross-Functional Execution
- Partner closely with the executives and their respective teams to keep initiatives, operational rhythms, and communications moving. Track action items and accountability so important follow-ups don’t fall through the cracks.
- Serve as a connective layer across the organizations: surfacing issues, coordinating stakeholders, and driving alignment on behalf of the executives.
- Own complex, high-visibility logistics: leadership offsites, all-hands, org-wide events, and cross-functional gatherings that reflect well on the business.
- Hold people accountable across all levels of the org, including senior leaders — using judgment to know when to nudge, when to wait, and when to escalate to keep things moving.
AI-Enabled Efficiency
- Actively use AI tools to streamline scheduling, communications, research, and prep work.
- Build lightweight systems and templates (using AI where useful) that improve how the exec team and broader org operate.
- Model modern ways of working for the broader EA community.
Executive Support
- Manage complex, high-stakes calendars for three senior executives with different working styles and global stakeholders.
- Coordinate domestic and international travel with a high bar for judgment and discretion.
- Oversee expenses, budgets, and purchasing in a way that reflects business priorities, not just process compliance.
Team & Culture
- Partner with the broader EA community to ensure consistency and strong coverage across senior leaders.
- Act as a mentor or informal resource to more junior EAs, sharing best practices and modern tools.
- Serve as a senior, trusted presence for the Bellevue location and teams: someone new hires and cross-functional partners naturally turn to.
WHAT YOU WILL BRING TO THE TEAM
- 5+ years supporting senior executives (VP+), ideally across more than one function or business unit.
- Demonstrated experience acting as a strategic partner — not just a scheduler — to senior leadership.
- Experience using AI tools (e.g., Claude, ChatGPT, Copilot) to improve personal and team productivity.
- Experience supporting global teams and comfort working early hours to overlap with India and/or Europe.
- Exceptional judgment, discretion, and business acumen; able to represent executives credibly with minimal oversight.
- Proven experience planning and executing high-visibility events, offsites, and leadership meetings.
- Ability to context-switch fluidly across three different functions and leadership styles.
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.
Location: Warsaw, Poland
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.
At Wolt, you can grow your sales career with a fun and fast-scaling global business. Part of the DoorDash team, we’re building a global logistics platform that can deliver (almost) everything in your city, to your door in minutes. Today, our products are used by 55+ million registered users who can now order from 200,000+ restaurants and retail stores across 30+ countries around the world.
Our Sales teams create and build our relationships with merchants. Together, we’ve helped big brands, local stores and neighborhood restaurants do over €15 billion’s worth of business through our platform. We’re constantly launching new cities and products, so there are always new opportunities to expand your skills and progress your career.
What you’ll be doing
Your role will be to build up our restaurant and retail portfolio in new and existing cities, by managing a pipeline of partners to target, nurture and close. This requires a good understanding of how to prioritise what merchants to target across different verticals, as well as strong communication and negotiation skills to get merchants to sign up to Wolt.
Day-to-day in this role you’ll:
Identify and target potential restaurant and retail SMB partners that will give our customers market leading breadth and depth of selection
Systematically hunt and farm a rich pipeline of potential partnerships, building strong relationships with existing and potential partners in your markets
Own the sales process from beginning to end, using a consultative sales approach and tailoring the pitch to position Wolt as a the preferred partner for each merchant
Visit your assigned markets regularly to build and maintain relationships
Use data to understand potential venue performance to set profitable business terms and conduct negotiations that create value for both parties
Make sound business decisions by supporting intuition with data
Collaborate with our Onboarding and Account Management team to set up the new partners in the app and ensure they perform to their best potential when they go live
Our humble expectations
You’ll do well at Wolt if you:
Have 1–2 years of B2B sales experience, executing day-to-day independently and seeking guidance on complex deals.
Have the charm, empathy and honesty to build strong relationships.
Are used to high-performance, high-expectation cultures.
Take a hands-on, proactive approach to getting stuff done and seeing things through.
Have fluent and persuasive written and spoken communication skills in
English and Polish
Are entrepreneurial, innovative, and good at solving problems.
Can adapt quickly in a rapidly changing market.
You plan ahead and have structure to your work - you develop strategies for how to succeed in your markets and go hunting with purpose and planning.
Why you’ll love it
🚀Global and growing fast:
Be part of a fast-moving scaleup
🤩Ride of a lifetime:
Accelerate your career and build your sales skills
💪Instant impact:
Take ownership and make a difference
💙Big hearts and small egos:
Surround yourself with smart, friendly people
Next steps
If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply, make sure to add your CV and get the conversation going!
We will be reviewing applications on an on-going basis. If this sounds like an opportunity you want to pursue, apply today! 💙
After one of our Talent Acquisition Partners reviews your application and finds that you meet the required criteria, you will be invited to take part in the following process:
Introduction meeting (You to Wolt and Wolt to you)
Meeting with your potential Manager
Show us why you’re the best candidate for the role! (Assignment stage)
#LI-WM1
Compensation
The successful candidate's starting total target compensation (On-Target Earnings) for this role will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. This compensation is composed of a percentage based split between base salary and variable pay (where the base salary represents a percentage of the total range below. Eligible employees may earn variable compensation if they meet 100% of their performance targets. Actual earnings may be higher if targets are exceeded or lower if targets are not fully met.
Pay Range:
8 684 zł
—
10 855 zł PLN
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: Poland
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.
At Wolt, you can grow your sales career with a fun and fast-scaling global business. Part of the DoorDash team, we’re building a global logistics platform that can deliver (almost) everything in your city, to your door in minutes. Today, our products are used by 55+ million registered users who can now order from 200,000+ restaurants and retail stores across 30+ countries around the world.
Our Sales teams create and build our relationships with merchants. Together, we’ve helped big brands, local stores and neighborhood restaurants do over €15 billion’s worth of business through our platform. We’re constantly launching new cities and products, so there are always new opportunities to expand your skills and progress your career.
What you’ll be doing
Wolt has been growing rapidly in Poland ever since we entered the market in 2018. We’re now in 26 cities and continue to expand fast - with even more exciting growth ahead.
As we strengthen our presence in Poland, we’re looking for an experienced and driven
Sales Manager based in the Silesia Area (Katowice, Chorzów, Bytom)
to take the lead in driving restaurant and retail acquisition and growth in the region. This is a key commercial role, where you’ll not only drive new partnerships with top-tier Merchants but also shape Wolt’s overall acquisition strategy in Poland.
You’ll work closely with our Account Management team to ensure we’re building a high-quality, scalable Merchant base while maintaining Wolt’s signature focus on quality and service.
Day-to-day in this role you’ll:
Leading the end-to-end sales process for high-potential and strategic restaurant and retail partners - from prospecting to closing.
Identifying new business opportunities, market trends, and categories that can accelerate Wolt’s growth.
Managing and optimizing the sales pipeline, ensuring strong forecasting accuracy and data-driven decision-making.
Negotiating partnership terms with key stakeholders and ensuring long-term, profitable collaborations.
Partnering with cross-functional teams (Mx Services, Account Management and Marketing) to ensure smooth onboarding and lasting partner success.
Using insights from data to refine acquisition strategies and continuously improve sales effectiveness.
Our humble expectations
Proven experience in B2B sales, business development, or partnerships, ideally within the food delivery, hospitality, or FMCG industries.
Strong track record of closing high-value deals and managing strategic partnerships.
A strategic thinker who can translate insights into actionable business plans and execute with excellence.
Strong negotiation, analytical, and communication skills, with the ability to influence at all levels.
A passion for great food and a deep understanding of the local restaurant and retail landscape.
Fluent in Polish and English.
Why you’ll love it
🚀Global and growing fast:
Be part of a fast-moving scaleup
🤩Ride of a lifetime:
Accelerate your career and build your sales skills
💪Instant impact:
Take ownership and make a difference
💙Big hearts and small egos:
Surround yourself with smart, friendly people
Next steps
If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply, make sure to add your CV and get the conversation going!
We will be reviewing applications on an on-going basis. If this sounds like an opportunity you want to pursue, apply today! 💙
After one of our Talent Acquisition Partners reviews your application and finds that you meet the required criteria, you will be invited to take part in the following process:
Introduction meeting (You to Wolt and Wolt to you)
Meeting with your potential Manager
Show us why you’re the best candidate for the role! (Assignment stage)
#LI-WM1
Compensation
The successful candidate's starting total target compensation (On-Target Earnings) for this role will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. This compensation is composed of a percentage based split between base salary and variable pay (where the base salary represents a percentage of the total range below. Eligible employees may earn variable compensation if they meet 100% of their performance targets. Actual earnings may be higher if targets are exceeded or lower if targets are not fully met.
Pay Range:
10 180 zł
—
12 725 zł PLN
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
.
New York City
San Francisco, CA
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.
Chicago, IL; It’s not enough for our values* and belief in design excellence to surface only in the work we do with clients
Boston, MA; San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
Singapore
San Francisco, CA
Boston, MA; San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
San Francisco, CA | New York City, NY | Seattle, WA
УдалённоUnited States
ОфисWe 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
ОфисLondon; Relocation support and visa fees (if applicable)
ОфисLondon; Relocation support and visa fees (if applicable)
leadSan Francisco, CA
leadDeliveroo; London, United Kingdom; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief