Location: Kuala Lumpur, Malaysia
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
What You’ll Be Doing
Endpoint & End-User Support
Run the daily operation and maintenance of company laptops (macOS first, plus Windows), mobile devices (iOS and Android), IP phones and other desktop IT equipment.
Handle device imaging and setup, software and hardware installation, configuration, updates, maintenance, troubleshooting and issue resolution.
Create and maintain IT knowledge-sharing documents, SOPs and the service desk knowledge base, and keep improving employees' IT service experience and satisfaction.
Office IT & Infrastructure
Maintain office IT systems: IP phones, video conferencing and wireless presentation systems, printers, CCTV and access control.
Support server room operations, structured cabling, UPS systems, switches, access points and routine inspections.
Test and monitor office Wi-Fi, wired networks and VPN connections daily, troubleshoot network issues, and track infrastructure availability and performance through dashboards and alerts.
Regional Support & Vendors
Support regional offices with IT rollouts, new office setups and on-site project delivery, travelling when required.
Implement Global IT strategies, technical standards, guidelines and solutions.
Manage vendor relationships and coordinate equipment procurement, installation, maintenance and technical support with external service providers.
AI & Automation
Work with teams across the business to find valuable AI and automation opportunities, and deliver them end to end.
Build, test and maintain internal tools, AI agents, AI skills and MCP integrations against REST APIs.
Use AI to improve troubleshooting, ticket handling, documentation and reporting, and measure the impact.
Drive adoption through demos, training and hands-on support, especially for non-technical colleagues.
What We Look For In You
Bachelor's degree or above; computer science, software engineering, networking or related majors preferred.
3+ years in IT support, IT engineering or a similar hands-on technical role. Experience in large IT companies preferred.
Hands-on operation and maintenance experience across Windows, macOS, Wi-Fi, VPN and smart office systems.
Basic knowledge of servers, networking, audio-visual systems and electrical principles, including Windows Server or Linux, virtualisation, backup and restore, switches, VLANs, WiFi controllers, firewalls and VPN.
Software engineering ability: strong Python (or an equivalent language) plus PowerShell or Bash, comfortable with Git and code review, able to build, test, document and maintain internal tools and integrations against REST APIs. Please be ready to share a portfolio, GitHub profile or examples of tools you have built.
Hands-on AI practitioner: a daily user of AI assistants (e.g. Claude, ChatGPT) with effective prompting skills, plus practical experience building AI agents, AI skills or MCP integrations.
Comfortable working directly with business stakeholders to turn unclear requirements into practical solutions, and able to present and train non-technical users. Strong communication, presentation and facilitation skills.
Proactive problem-solver who works well independently and with others, with flexibility on working hours (including evenings and weekends when needed) and on travel to regional offices.
Fluent in spoken Malay, English and Mandarin.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Remote-Friendly, United States; 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 Team
The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do.
What You’ll Do:
Conduct red and purple team engagements simulating advanced threat actors across our cloud infrastructure, endpoints and bare metal deployments.
Penetration test specific, high value deployments.
Contribute to AI-assisted security testing tooling and workflows.
Work cross functionally with other security and engineering teams, particularly on AI-specific attack scenarios.
Document and present findings to technical and executive audiences, translating attack narratives into actionable risk insights that inform security roadmaps.
Who You Are:
5+ years of hands-on experience in red teaming and offensive security operations
Deep expertise in at least two of: macOS security, Linux Security, Cloud security (GCP/AWS/Azure), Kubernetes, CI/CD pipelines
Track record of discovering novel attack vectors and chaining vulnerabilities creatively
Experience conducting adversarial simulations against well-defended environments
Strong engineering skills (Python, Go, or similar)
Ability to write clear findings that drive action, helping teams understand risk and prioritize fixes
Collaborative approach, working in close collaboration with the blue team
Strong candidates may also have experience with:
Prior work at organizations with state actor threat models
Interest in AI safety and how security engineering contributes to responsible AI developments
Background testing AI/ML systems or agentic workflows
Familiarity with detection engineering and SIEM/EDR platforms from the defensive side
Experience with data center security or hardware-based attacks
Deadline to apply: None. Applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$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: Bangalore, India
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Senior Solutions Architect on GitLab's India team, you'll be a trusted advisor to prospects, customers, and partners across India. You'll help them understand how GitLab's AI-powered DevSecOps platform addresses technical requirements and business goals across the software development lifecycle. This role supports Commercial and Enterprise segments in India's Southern Region. Experience with Global Capability Centers (GCCs), Digital Native organizations, and startups is highly valued given the accounts you'll support.
You'll partner closely with Account Executives and cross-functional teams to own technical evaluations, including proofs of value and workshops, shape solution architectures, and bring customer feedback to Product Management. You'll also occasionally support regional go-to-market partners that provide Professional Services. Your work will help customers adopt GitLab successfully, support revenue growth through solution selling, and build long-term, trusted relationships.
What you’ll do
Lead technical discovery, demonstrations, and validation to show how GitLab's AI-powered DevSecOps platform meets customers' technical and business needs across the software development lifecycle.
Own the technical evaluation process, including solution design, proofs of concept or value, workshops, and technical contributions to tenders, audits, and value stream assessments.
Collaborate with Account Executives and regional sales teams across Commercial and Enterprise segments to shape account strategies for new customer acquisition and expansion, with a focus on GCC, Digital Native, and startup accounts.
Support regional go-to-market partners that provide Professional Services, helping them deliver consistent technical guidance and apply effective practices during partner-led engagements.
Represent GitLab at online and in-person marketing events, including webinars, industry events, presentations, roundtables, panels, demonstration days, and hackathons.
Build trusted relationships with technical practitioners and business leaders, guide GitLab-driven transformation, and help customers become GitLab advocates.
Advise customers on modern software development, continuous integration and continuous deployment (CI/CD), security, and cloud practices to improve their return on investment.
Share customer feedback, use cases, and competitive insights with Product Management, Engineering, Sales, and Marketing while continuing to build expertise and reusable guidance in GitLab, DevSecOps, AI, and cloud technologies.
What you’ll bring
Experience guiding Commercial and Enterprise customers through solution design and evaluation in technical presales, consulting, or a similar role.
Experience working with India's GCCs, Digital Native organizations, and startups is highly valued.
Knowledge of the end-to-end software development lifecycle, including modern DevSecOps practices and CI/CD workflows.
Hands-on experience with GitLab or comparable source control, CI/CD, and collaboration platforms, with the ability to connect platform capabilities to customer use cases.
Practical knowledge of cloud computing concepts and related technologies, including deployment, security, and operations options.
Ability to lead proofs of concept or value, contribute to tenders or audits, and design and run workshops or value stream assessments.
Clear technical communication and presentation skills, with the ability to adapt your message for practitioners and senior business and technical decision-makers.
Skill in building trusted relationships, listening with empathy, advocating for customers, collaborating with go-to-market or Professional Services partners, and continuously learning new technologies.
About the team
The Solutions Architect team is part of GitLab's Sales organization and serves as the technical counterpart to Account Executives. This role focuses on Commercial and Enterprise opportunities across India's Southern Region and works with Account Executives, the broader go-to-market team, and regional partners that provide Professional Services. The team advises on architecture, runs technical evaluations such as proofs of value, and guides customers through digital transformation. We collaborate asynchronously with Sales, Product Management, Engineering, and Marketing to share effective practices, create reusable technical resources, and represent the voice of the customer. Our focus is helping customers modernize software delivery, adopt GitLab at scale, and navigate a changing AI and DevSecOps landscape.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Remote, South Korea
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Senior Solutions Architect on GitLab's South Korea team, you'll be a trusted advisor to enterprise prospects, customers, and partners. You'll help them understand how GitLab's AI-powered DevSecOps platform addresses technical requirements and business objectives across the software development lifecycle. Experience working with Chaebol’s or other large conglomerate organizations is highly valued given the accounts you'll support. Using your technical expertise, knowledge of cloud and modern software development practices, and customer empathy, you'll guide organizations through digital transformation from planning through monitoring.
You'll partner closely with our Account Executives and cross-functional teams. You'll own technical evaluations, including proofs of value and workshops, shape solution architectures, and represent the voice of the customer to product management. You'll also support GitLab's South Korea go-to-market partners, who act as our regional professional services arm, by helping enable and guide their technical delivery. Your work will drive successful platform adoption, support revenue growth through solution selling, and build long-term, trust-based relationships that show GitLab's differentiated position in an AI-driven DevSecOps landscape.
What you’ll do
Lead technical discovery, demonstrations, and validation to show how GitLab's AI-powered DevSecOps platform meets customers' technical and business needs across the full software development lifecycle.
Own the technical evaluation process, including solution design, proofs of concept or proofs of value, workshops, and the technical components of tenders, audits, and value stream assessments.
Collaborate with Account Executives and regional sales teams across South Korea to shape and execute account strategies that support new customer acquisition and expansion, with a focus on enterprise accounts.
Support and enable GitLab's South Korea go-to-market partners, who operate as the region's professional services arm, to promote consistent technical delivery and best practices across partner-led engagements.
Represent GitLab at online and in-person marketing events, including webinars, industry events, booth sessions, presentations, roundtables, panels, demonstration days, and hackathons.
Build trusted relationships with technical practitioners and business leaders, guiding them through GitLab-supported transformation and helping them become GitLab advocates.
Advise customers on modern software development, continuous integration and continuous deployment, security, and cloud practices, challenging existing approaches to improve return on investment.
Serve as the voice of the customer across product management, engineering, sales, and marketing by sharing feedback, use cases, and competitive insights that inform the product roadmap and positioning.
What you’ll bring
Experience engaging with enterprise customers in technical presales, consulting, or similar roles and guiding them through solution design and evaluation.
Proficiency across the software development lifecycle, including modern DevSecOps practices, continuous integration and continuous deployment workflows, and GitLab or comparable source control and collaboration platforms.
Practical knowledge of cloud computing concepts and related technologies, with the ability to discuss deployment, security, and operations options with technical teams.
Ability to lead technical evaluations such as proofs of concept or proofs of value, contribute to tenders or audits, and design and run workshops or value stream assessments.
Clear technical communication, presentation, and relationship-building skills, with the ability to adapt messages for practitioners and senior business and technical decision-makers and represent customer perspectives across Product Management, Engineering, Sales, and Marketing.
Motivation to continue developing professionally by learning new technologies, deepening GitLab platform expertise, and applying transferable experience from related fields.
Fluency in Korean and English.
About the team
The Solutions Architect team is part of GitLab's Sales organization and serves as the technical counterpart to Account Executives. This role focuses on Enterprise opportunities across South Korea and works with Account Executives, the broader go-to-market team, and regional partners that provide Professional Services. The team advises on architecture, runs technical evaluations such as proofs of value, and guides customers through digital transformation. We collaborate asynchronously with Sales, Product Management, Engineering, and Marketing to share effective practices, create reusable technical resources, and represent the voice of the customer. Our focus is helping customers modernize software delivery, adopt GitLab at scale, and navigate a changing AI and DevSecOps landscape.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
As a Data Engineer on the Data Science & Analytics team, you will build the data foundation for Anthropic’s quote-to-cash lifecycle: the path a deal takes from opportunity through revenue. You will design the canonical data models so that Sales, Deal Desk, Order Management, Revenue Operations and Finance work from one governed, auditable definition of what was sold, on what terms, and where each deal stands. You will partner closely with DS&A and with GTM and Finance systems teams who own Salesforce, CPQ and billing to make quote-to-cash data reliable, well-modeled and self-serve as our business scales.
Responsibilities
Understand the data needs of Deal Desk, Order Management, Revenue Operations, Finance and Sales systems teams, and translate them into technical requirements
Design, build and own data models that transform raw Salesforce, CPQ, and billing data into canonical datasets
Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
Partner with Salesforce, CPQ and billing engineers on upstream schema changes, new fields and ingestion so the warehouse faithfully mirrors the systems of record
Build foundational data products, dashboards and tools to enable self-serve analytics to scale across GTM teams
Influence stakeholder roadmaps from a data perspective, and become the expert on Anthropic’s GTM data models and architecture
You might be a good fit if you have
5+ years of experience as a Data Engineer, Analytics Engineer or in a similar Data Science & Analytics role, ideally partnering with GTM, Revenue Operations or Finance teams.
A passion for the company's mission of building helpful, honest, and harmless AI.
Hands-on experience modeling Salesforce data and at least one adjacent quote-to-cash system: CPQ, contract lifecycle management, billing and invoicing, or ERP.
Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.
Expertise in SQL and Python to transform data into accurate, clean data models.
Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams.
A bias for action and urgency, not letting perfect be the enemy of the effective.
A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.
Experience building an Analytics Data Engineering (or similar) function at start-ups.
A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
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
As a Salesforce Developer at Anthropic, you will design, build, and maintain the Salesforce platform that powers our core customer motions and quote-to-cash business.: This includes automation throughout the Salesforce platform ranging from core sales automation to product catalog and pricing, quoting and approvals, order and contract management, and the handoff to billing and provisioning. You'll work both autonomously and collaboratively across RevOps, Order Management, Legal, Billing Engineering, Deal Desk, Finance and Accounting, and Product to translate pricing and packaging requirements into scalable Apex, Flow, and integration solutions, and to extend our capabilities with custom code where necessary. We are an AI-first systems team, and you'll be expected to use Claude and our in-house AI development tooling as a core part of how you write, review, and ship code, always against our house standards for flexibility, maintainability, and scale.
Where you might sit
We're hiring across more than one team. Placement depends on your background and where you can have the most impact.
GTM Systems:
Builds and runs the Salesforce platform and connected tools that Anthropic's sellers, sales leaders, and revenue operations teams rely on every day. You'd build the automation behind how deals move through the pipeline, how leads and accounts reach the right owner, and how information flows between our sales tools and the rest of the business. You'll work directly with the analysts and operators who define the process, and see the impact on the people who use what you ship.
QTC Experiences:
A vertically integrated team that spans quoting through to provisioning agreements, as well as customer billing experiences over the term of their agreement. You'd build the foundational systems for CPQ, order management, provisioning and billing experiences, envisioning how we make our sellers and ops teams orders of magnitude more efficient with Claude. You'll work cross-functionally with GTM, finance, accounting and other stakeholders. Your work will directly impact seller velocity and our GTM deal making capacity.
Key responsibilities
Develop and maintain Apex (triggers, services, selectors, batch/queueable), Lightning Web Components, and Flow automation following our house Apex standards and trigger framework
Design and build quote-to-cash infrastructure in Salesforce, including the product catalog and pricing data model, quote and order lifecycle, discount and approval automation, and amendment, renewal, and co-termination flows
Extend CPQ and expand into agentic selling with custom pricing and quote-calculation logic, quote and order user experiences, and code built against the package's APIs and data model
Build and own integrations between Salesforce and our billing, provisioning, and finance systems, such as Stripe, Metronome, and NetSuite, directly or via middleware
Support new product and pricing launches by modeling catalog, SKU, and pricing changes so they can be released quickly and reflected consistently in every downstream system
Use Claude and our internal AI development tooling as a first-class part of your build and code-review workflow
Partner with Business Systems analysts and Finance to ensure data-model decisions support downstream bookings, forecasting, and revenue reporting
Partner with DevOps on release management for your work: sandbox strategy, source control, peer review, and deployment via SFDX/metadata tooling
Ensure appropriate controls, test coverage, and documentation are in place for an effective control environment, particularly around pricing, discounting, and contract changes
Operate with ambiguity in a rapidly changing business, resolve problems independently, and propose solutions that scale
Minimum qualifications
Hands-on Salesforce development experience (Apex, SOQL, LWC, Flow) in a production org
Experience building or extending CPQ and quote-to-cash functionality in Salesforce (Salesforce CPQ, Revenue Cloud, Nue, or similar): product and pricing data models, quote and order lifecycle, approval automation, and amendments and renewals, including custom code written against the CPQ package rather than configuration alone
Experience integrating Salesforce with billing, ERP, or provisioning systems via REST/Bulk APIs, middleware (Workato, Mulesoft, or similar), or direct callouts
Fluency with SFDX, source-controlled metadata, and a sandbox-to-prod release process with peer review
Active use of AI-assisted development tools (Claude, Copilot, Cursor, or similar) as part of how you write and review code, and the ability to speak to how you steer and verify their output
Basic SQL skills and comfort working alongside a data warehouse
Effective communication with sales, deal desk, finance and accounting, product, and engineering stakeholders
Preferred qualifications
Salesforce Platform Developer I and II certifications
Advanced Administrator or Application/System Architect certification
Deep understanding of Salesforce platform constraints: governor limits, bulkification, sharing and visibility, recursion control, and how they surface in CPQ-specific situations such as large quotes, calculation performance, and bulk amendments
Experience implementing a CPQ solution end to end or re-platforming from one CPQ to another, not just maintaining an existing one
Experience with billing and finance platforms such as Stripe, Metronome, or Oracle, and with usage-based or consumption pricing models
Working understanding of how CPQ design decisions flow through to bookings, invoicing, and revenue recognition
Proven experience scaling Salesforce in a high-growth GTM environment
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:
$270,000
—
$315,000 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
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Join Anthropic as a Customer Success Manager for Life Sciences. You’ll be a strategic partner and trusted advisor to leading organizations working to accelerate scientific discovery, such as research institutes, academic medical centers, and scientific foundations. You’ll help these organizations harness the full potential of Claude through deep product expertise, use case discovery, and hands-on guidance.
You’ll be part of a Research and Life Sciences account team pod, working as one team with your Account Executive and Applied AI partners. Together you’ll shape account strategy with you taking the lead on adoption, change management, and value realization.
This role doesn’t follow a single playbook. You’ll run a range of Customer Success motions, from deep 1:1 strategic partnership to one-to-many programs like webinars, hackathons, and cohort-based enablement. You’ll choose the motion based on top account and customer priorities and the best way to solve for them.
The insights you gather will directly inform our research priorities, product development (including how Claude for Life Sciences evolves), and strategies for beneficial AI deployment. That makes you a key voice in how we build and deliver AI systems that accelerate science for the benefit of society.
Responsibilities
Build trusting, strategic relationships with research leaders, scientists, principal investigators, and program directors to understand their scientific priorities, organizational goals, and impact objectives
Partner closely with your Account Executive and Applied AI counterparts in the Research and Life Sciences pod on shared account plans, bringing in Product, Support, and other teams as needed
Run the right Customer Success motion for each account and customer priority, whether that’s dedicated 1:1 engagement, cohort-based onboarding, hackathons and build days, office hours, or researcher communities
Become an expert in Anthropic’s products, especially Claude for Science, guiding organizations and their researchers and scientists to the right solutions and most impactful use cases
Monitor usage patterns and proactively drive adoption, identifying optimization opportunities and new applications for Claude across your book of business
Develop and execute change management strategies suited to scientific and academic cultures, including Train the Trainer programs, Center of Excellence development, and enablement that respects partner capacity, governance requirements, and decision-making processes
Guide partners through the technical and governance foundation for launch, including SSO and provisioning, workspace configuration, and data handling considerations for research and health data (such as HIPAA, IRB, and institutional data policies)
Own account and success plans and run Quarterly Impact Reviews that document and quantify value realized, such as research productivity, time-to-insight, and cost savings, and partner with Marketing on success stories and reference accounts
Establish the repeatable playbooks, templates, and health metrics that define what “great” looks like for customer success in life sciences at Anthropic
You may be a good fit if you have
6+ years of experience in Customer Success, Technical Account Management, Solutions Engineering, or consulting
3+ years of experience in life sciences research, with exposure to new technologies as a catalyst for accelerating progress
Experience working directly with life sciences organizations, such as academic research institutions, research institutes, foundations, biotech, or pharma, and familiarity with how scientific research is conducted, funded, and governed
An understanding of the regulatory, risk, and compliance needs of the industry
Experience driving success across both consumption-based and seat-based business models, with an understanding of the expansion levers and success metrics for each
Experience managing dedicated strategic accounts and delivering one-to-many programs, with the judgment to choose the right motion for the customer priority at hand
Strong cross-functional collaboration skills, including working as part of an account team with Sales and technical partners and advocating effectively for customer needs
Technical fluency in AI/ML concepts, API integrations, and software implementation patterns, and the ability to explain them to audiences ranging from bench scientists and computational researchers to institutional leadership. Familiarity with scientific data types, research workflows, or bioinformatics tooling is a strong plus
A data-driven, AI-first way of working, using adoption signals to guide decisions and building Claude-powered workflows into how you engage partners
Passion for both AI and accelerating scientific progress, with a strong interest in ensuring frontier AI systems are developed safely, ethically, and deployed to benefit society
A knack for bringing order to chaos and an enthusiastic “roll up your sleeves” mentality. You are a true team player
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$200,000
—
$265,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Paphos, Cyprus
We are looking for a
Building Automation Systems Engineer
to work with building automation and engineering systems, including KNX, DALI, HVAC and VRF/VRV systems.
This is a hands-on role involving system configuration, commissioning, diagnostics and technical support on project sites.
Responsibilities
Operate, diagnose and provide technical support for building automation systems
Perform commissioning and start-up works on new project sites
Configure and program
KNX and DALI
systems
Integrate and configure
VRF/VRV, HVAC
and other building engineering systems
Troubleshoot equipment, communication buses and control systems
Inspect installation works, system connections and compliance with project documentation
Coordinate with other engineering teams and contractors
Participate in system handover and provide ongoing maintenance and technical support
Requirements
Hands-on experience with
building automation systems
Strong knowledge of
KNX
and good understanding of
DALI
Understanding of HVAC automation, including
VRF/VRV
systems
Good understanding of building engineering systems: power supply, lighting, ventilation, air conditioning and low-voltage systems
Ability to read electrical schematics, technical drawings and project documentation
Understanding of sensors, actuators, controllers, gateways and network interfaces
Ability to independently perform diagnostics, troubleshooting and commissioning works on site
Strong practical and problem-solving skills
Willingness to work regularly on project sites
Good English for professional communication and technical documentation
Knowledge of Russian would be a strong advantage
Experience with BMS, smart building systems, Modbus, BACnet or other building automation protocols would be an advantage.
We offer
Competitive salary
Professional international team
Opportunity for professional growth and development
21 days paid vacation per year
40 working hours paid sick leave per year
Public holidays in accordance with the Cyprus Public Holiday list
Interested candidates are requested to send their CV quoting the above job title to
hr_cyprus@inex-group.com
.
All applications will be treated in strict confidence and in compliance with GDPR and our privacy policy.
Location: Batumi, Georgia; Berlin, Germany; Munich, Germany; Lisbon, Portugal; Warsaw, Poland; Barcelona, Spain
The Vault is an MPC-based crypto custody platform for institutional and retail clients, running threshold signing across HSM and Ledger hardware. We're scaling toward Series A, launching our productized platform in 2026, and publishing original cryptographic research alongside the product.
We're hiring a Staff Engineer to design and ship the custody platform's hardest backend code. This is a hands-on IC role with real technical leadership — no people management — where you drive non-trivial initiatives through code, RFCs, and mentorship.
You'll shape architecture in your area of ownership; platform-wide decisions sit with technical leadership. We're AI-forward (Claude Code, Cursor, Codex), and we need engineers who can read AI-generated code critically and catch what it misses — not just prompt it.
You'll naturally gravitate toward either the security-critical core (MPC, threshold signing, HSM/Ledger integration, key lifecycle) or the faster-moving periphery (chain adapters, integrations, APIs/SDKs).
What you'll do
Design, write, and ship critical platform components: policy engine, signing orchestration, key lifecycle workflows, recovery flows, approvals, audit trails, multi-tenant wallet and account services.
Lead non-trivial cross-cutting initiatives in your area — through written RFCs, design reviews, and code, not through hierarchy.
Build high-load, multi-tenant SaaS systems: tenant isolation, quotas, rate limits, backpressure, concurrency control, predictable latency under spikes.
Distributed systems & reliability: idempotency, retries, outbox/inbox, event-driven workflows, sagas and state machines, replay, graceful degradation.
Security-by-design: least privilege, secret handling, mTLS/JWT, tamper-evident logs, audit-ready data models — designed for SOC 2, ISO 27001, and DORA scope from day one.
Performance & data: profiling, load testing, benchmarking, contention analysis, GC tuning; strong relational modelling (Postgres or equivalent), migrations, indexing, clear consistency boundaries.
AI-assisted development as a core competency: ship production code with Claude Code, Cursor, and Codex; build the prompt and agent patterns that work for your area; contribute to the company's AI engineering practices; know when to use AI heavily (periphery, integrations, tests, docs) and when not to (cryptographic core, signing paths) where blind generation is unsafe.
Set patterns and shared libraries for the services your area touches; raise the bar through code review and example.
Own features end-to-end: design notes / RFCs, code, tests, observability, rollout, on-call. No "throw it over the wall" handoffs.
Mentor senior engineers: your reviews and your written designs are the strongest signal to the rest of the team.
Requirements
Must-have experience
Strong CS fundamentals — our primary screening criterion. You can reason from first principles about concurrency, distributed systems, consistency models, networking, and OS behaviour. You know not just what locks and channels do, but why and when. You understand what's happening under the hood, not only at the API level.
Ownership mindset. You've owned non-trivial production systems end-to-end — design, ship, measure, improve, on-call. You don't wait to be told what to do, and you don't ship code you don't understand.
10+ years backend engineering, including 3+ years operating at Staff level (or equivalent senior IC scope). Strong production experience in a modern systems language — Go, Rust, Java, C++, or comparable. Hands-on Go experience, or genuine readiness to ramp on Go in the first month.
Track record of Staff-level technical leadership through code, RFCs, and influence — without formal authority over teams. You can point to RFCs you wrote that the team adopted, initiatives you drove without being the manager, patterns you set that outlasted you.
Proven track record building high-load, multi-tenant SaaS in production (HA, incident response, SLOs).
Hands-on with modern backend stacks: gRPC/HTTP, queues/streams, caching, relational databases, Kafka/NATS or equivalent.
Strong testing discipline: unit/integration/contract tests, testability-first design, deterministic CI.
Strong observability habits: structured logging, metrics, tracing, end-to-end production debugging.
REQUIRED: production-grade use of modern AI coding tools (Claude Code, Cursor, Codex, or comparable). You can point at what you've built with them. You read AI-generated code as a hostile reviewer, not a grateful recipient — you have instincts for what AI tends to get wrong, and you don't ship code you couldn't have written yourself.
Nice to have
Exposure to custody, wallets, or signing systems (MPC, HSM, TEE, key management, approvals).
Hardware wallet integration (Ledger).
Multiple blockchain ecosystems (EVM and Bitcoin minimum; Cosmos, Solana, others a plus).
Built custom agents, MCP integrations, or in-repo AI workflows that compounded a team's productivity.
Designed and run evals for AI-generated code (correctness, security, style).
Kubernetes and service mesh in production; SRE practices.
Regulated-environment experience (fintech, security audits, compliance-driven engineering).
Threat modelling and security review participation.
Familiarity with SOC 2, ISO 27001, and DORA — enough to design for them.
What this role is NOT
A people management role.
A pure architecture / whiteboard role. You write production code in this codebase every week, and platform-wide architectural ownership sits elsewhere.
A research-only cryptography role. You collaborate with our Cryptography Researcher; your focus is platform engineering, not protocol design.
Pure feature ticket execution. If you wait to be told what to do, this won't work.
Benefits
A Staff IC role with real technical leadership — no people management, no sprint mechanics gauntlet, no architecture-by-committee.
An AI-forward engineering culture with budget and autonomy for the tooling, models, and agents you need.
Direct peers in cryptography research, security architecture, product, and delivery — you're not the only senior voice in the room.
Fully remote, any time zone with reasonable overlap with EU/CIS hours.
Competitive comp at the Staff engineer band; equity participation; full benefits.
A product approaching Series A with paying institutional customers and a published cryptographic research line
Location: Pasir Gudang, Malaysia
Our Client
Our client is a Singapore-based multinational food and beverage company specializing in the production and distribution of instant beverages, particularly coffee mixes and non-dairy creamers. With a strong presence across Asia, Eastern Europe, and other emerging markets, the company focuses on delivering affordable, mass-market products while continuously optimizing cost efficiency and product formulations. Its operations are supported by manufacturing facilities, including in Malaysia, and it actively competes with Chinese producers by exploring innovations in ingredients and production processes to maintain competitiveness in pricing and quality.
Key Responsibilities
1. Purchasing & Sourcing
Develop purchasing plan based on production requirements
Source and evaluate new suppliers and alternative materials
Monitor market trends and raw material prices to support purchasing decisions
2. Supplier & Cost Management
Manage supplier relationships and evaluate supplier performance
Identify cost-saving opportunities
Ensure supply continuity and mange potential supply risks
Develop alternative suppliers for key materials
3. Monitor inventory levels and purchasing requirements
4. Ensure compliance with procurement SOPs and documentation requirements
5. Lead the procurement team to achieve departmental KPIs, cost-saving targets
and operational targets
6. Work closely with Planner, Production, QA, R&D, Finance and other departments
7. Prepare procurement reports and provide updates to Management
Requirements
Degree in Supply Chain Management, Procurement, Business or related discipline
Minimum 5-8 years of experience in procurement, supply chain, preferably in a manufacturing environment
At least 2-3 years of experience in a supervisory or managerial role
Good understanding of raw materials purchasing, inventory management, and supply planning
Strong analytical and problem-solving skills
Detail-oriented with good record-keeping and documentation skills
Good communication and cross-functional coordination skills
Good command of written and spoken English
Location: Philippines; South Africa; Pakistan; Morocco; Egypt; Brazil
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech.
Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are seeking a results-driven Sales Development Representative to spearhead our outbound growth strategy within the international education sector. In this role, you will be the primary engine for pipeline generation, engaging directly with senior school leadership teams to introduce innovative educational solutions. This is an ideal opportunity for a self-managed sales professional who understands the unique nuances of the EdTech landscape and thrives on building meaningful relationships with global educators.
Key Responsibilities
Build and maintain targeted lists of international schools, identifying key decision-makers including Principals, Deputy Heads, and Sustainability Leads.
Execute high-touch LinkedIn outreach campaigns featuring personalized, consultative messaging tailored specifically to educators.
Manage multi-channel cold email sequences and structured follow-ups to maximize response and engagement rates.
Conduct high-volume daily outreach, including 30–50 LinkedIn messages and 20–30 cold emails.
Consult with school leadership stakeholders to align our solutions with their institutional goals.
Book and coordinate 10–15 qualified meetings per month for the leadership team.
Maintain rigorous CRM hygiene, tracking lead progression and providing clear visibility into the sales pipeline.
Requirements
Proven experience in B2B outbound sales, specifically utilizing LinkedIn and email as primary channels
Direct experience selling into the education sector or EdTech space is a critical requirement for this role
Exceptional communication skills with the ability to engage and influence senior stakeholders and school leadership teams
Highly self-motivated and capable of maintaining consistent daily activity output without micro-management
Strong organizational skills and proficiency in CRM management and sales automation tools
A consultative approach to sales, focusing on value-driven conversations rather than aggressive pitching
Nice-to-Haves
Previous experience working within an international school environment or a deep understanding of global curriculum standards.
Familiarity with sustainability and climate education initiatives.
Experience in a startup or fast-paced growth environment.
Benefits
💰 Competitive monthly compensation
🌎 Fully remote work environment
🚀 Opportunity to shape the growth of a mission-driven organization
📈 Performance-based incentives for qualified meetings booked
🎯 Autonomy and ownership over your outreach strategy
🌟 Direct impact on global educational innovation
Location: Brazil; Mexico; Peru; Argentina; Colombia; Venezuela, Bolivarian Republic of
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for a high-energy, research-driven Account Executive to lead our growth within the middle market property management sector. In this role, you won't just be selling a platform; you’ll be helping regional and multi-state operators revolutionize how they manage resident engagement and retention. You will own a named territory of portfolios ranging from 5,000 to 50,000 units, navigating multi-threaded deals that involve VPs of Ops, Marketing Directors, and Ownership groups. If you thrive in a full-cycle environment where you build your own pipeline and execute a sophisticated land-and-expand strategy, this is the place for you.
Key Responsibilities
Own and map a named list of 150–250 middle market accounts, identifying key stakeholders and resident engagement stacks before initiating contact.
Execute a high-volume, high-quality outbound cadence (50–60 touches daily) across phone, email, and LinkedIn to build relationships with at least three stakeholders per account.
Lead 10–12 discovery calls and demos per month, moving beyond feature walkthroughs to diagnose business problems like resident turnover, onsite team burnout, and event spend.
Build compelling proposals that tie the platform to measurable ROI, including renewal lift and hours saved per community.
Structure and close pilot agreements with clear success criteria, working closely with Customer Success to trigger full portfolio rollouts.
Navigate procurement and legal to close deals typically ranging from 10–20 communities ($36K–$72K ARR) within a 45–90 day cycle.
Maintain meticulous records in HubSpot to ensure accurate weekly forecasting and territory planning.
Requirements
2–5 years of full-cycle B2B SaaS sales experience, including at least 1 year managing mid-market or multi-location accounts.
A proven track record of self-sourcing pipeline; you are comfortable with a daily goal of 30–40 dials and personalized sequencing.
Experience managing multi-stakeholder deals with a 45–90 day sales cycle.
Ability to lead deep-dive conversations that uncover pain points and quantify the cost of inaction.
Proven ability to build a business case and defend pricing based on value rather than discounts.
Exceptional written and verbal communication skills with the ability to influence executive-level decision-makers.
A metrics-first mindset with a commitment to accurate forecasting and CRM hygiene.
Nice-to-Haves
Experience in Multifamily real estate, PropTech, or resident services.
Familiarity with the NMHC Top 50 operators or regional property management structures.
Proficiency in HubSpot, LinkedIn Sales Navigator, Apollo, or ZoomInfo.
Experience using structured sales methodologies such as MEDDPICC or Command of the Message.
Previous success in a "land-and-expand" or "pilot-to-rollout" sales motion.
Benefits
💰 Competitive base salary and uncapped commission
🌎 Fully remote work environment
🚀 Career growth and leadership opportunities
📈 Long-term stability in a growing market
🎯 Performance-based incentives and bonuses
🏥 Comprehensive health and wellness coverage
📚 Professional development stipend
Location: South Africa; Brazil; Mexico; Venezuela, Bolivarian Republic of; Colombia
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team.
About the company
Our client is a fast-growing health and longevity-focused wellness company specializing in metabolic science and personalized medical optimization. Operating at the intersection of clinical care and performance wellness, the team provides a comprehensive suite of services including medically supervised weight loss, peptide therapy, hormone optimization, and advanced recovery treatments like hyperbaric oxygen and cryotherapy. They serve a diverse demographic of high-performing individuals, from executives to proactive professionals, through a membership-based model that prioritizes long-term outcomes over reactive medicine.
With a focus on bridging the gap between traditional healthcare and peak performance, this organization utilizes data-driven diagnostic testing and custom-compounded protocols to help clients age smarter and recover faster. The team is dedicated to an evidence-based, patient-centric culture that values innovation and measurable impact. As they continue to scale their presence both physically and virtually, they offer a collaborative and forward-thinking environment for those passionate about the future of functional medicine and aesthetic rejuvenation.
Job Type
Full-time
Job Summary
We are looking for a strategic and high-energy Lead Account Manager to spearhead our client success efforts. In this pivotal role, you will oversee a book of 140 businesses while managing a dedicated team of four account managers. Your mission is to elevate the client experience, ensure rapid response times, and drive measurable growth for our partners. If you are a natural leader who thrives in a fast-paced environment and is passionate about delivering world-class service, we want to hear from you.
Key Responsibilities
Lead, mentor, and manage a team of four account managers to ensure peak performance.
Oversee a diverse portfolio of 140 client accounts, maintaining high satisfaction and retention.
Monitor and optimize Service Level Agreement (SLA) response times to ensure excellence.
Analyze client feedback and surveys to implement service improvements and strategy shifts.
Identify and execute opportunities for account growth and expansion within the existing book of business.
Act as the primary point of escalation for client needs and team challenges.
Requirements
Minimum of 2 years of professional experience in Account Management.
Proven leadership experience or the demonstrated ability to manage and develop a team.
Ability to work EST-aligned hours with flexibility for core team overlap.
Exceptional communication skills and a results-oriented mindset.
Strong organizational skills to manage high-volume client portfolios effectively.
Nice-to-Haves
Proficiency in Google Workspace.
Advanced English language proficiency.
Benefits
💰 Competitive salary
🌎 Fully remote work environment
🚀 Rapid career growth and progression opportunities
📈 Salary raises and performance-based bonuses
🎯 Future incentive structures currently in development
🕒 Flexible working hours with core overlap
Location: 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 Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security and control commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward continuous assurance, to challenge and evidence the performance of controls continuously rather than through periodic audits.
As Anthropic scales to meet public-company standards, the Sarbanes-Oxley (SOX) control environment over our technology stack is one of the most consequential things this team owns. As part of Security GRC's technical controls assurance function, you will be the voice on what the IT general controls must achieve to support SOX 404 compliance. In partnership with Internal Audit, you will define control requirements and acceptance criteria for the in-scope engineering systems and infrastructure that underpin financial reporting. You will pair with engineering as they design and implement against those requirements, and validate that what ships actually meets the bar before Internal Audit and our external auditors test it. You are the product owner for control design methodology and continuous control monitoring, initially around ITGCs, but extending into other areas of security and compliance to drive visibility where and when we need it.
Key responsibilities
Define control requirements and acceptance criteria across the core ITGC domains of logical access, change management, computer operations, and program development for SOX in-scope systems, including home-built platforms where the control has to be designed into the system rather than bolted on.
Set the bar for in-scope systems from day one. As financially significant systems are built, migrated, or replaced, define what the system must provide (auditability, segregation of duties, change control, immutable logging, evidence retention) before go-live, so controls are not retrofitted after the fact.
Pressure-test changes for SOX impact during design. Review major infrastructure, system, and agent framework changes for control impact while decisions are still cheap, and maintain a clear view of which changes alter the SOX scope, key control population, or evidence requirements.
Own second-line control monitoring and evidence readiness. Stand up continuous controls monitoring and automated evidence collection for ITGCs (control testing, walkthrough preparation, population and completeness validation, and mapping to the common controls framework). Materially raise automated evidence coverage and cut audit prep time.
Drive control deficiency remediation with cross functional partners. Track and root-cause ITGC deficiencies surfaced by monitoring, Internal Audit, or external audit; partner with engineering owners on remediation design; and assess whether remediation actually closes the gap before re-testing.
Assess scope changes through a SOX lens. When new products, entities, systems, or integrations come into scope, provide technical and compliance assessment of their impact on control design, evidence requirements, and engineering effort before commitments are made.
Maintain alignment with the broader compliance portfolio. Where SOX ITGCs overlap with SOC 2, ISO 27001/42001, or other frameworks, ensure controls are designed once and evidenced once, and that changes made for one framework do not silently break another.
Minimum qualifications
Thrive at the pace of a hypergrowth company. You're comfortable making calls with incomplete information and reprioritizing as scope shifts.
Have led or been a senior contributor to an ITGC program through SOX 404 readiness and/or at a public company, with a working command of PCAOB AS 2201, COSO 2013, and how external auditors scope, test, and evaluate technology controls and deficiencies.
Have genuine engineering fluency, possibly from an earlier engineering career: you can read code and Terraform, follow a CI/CD pipeline end to end, and challenge a design on its technical merits.
Have programming skills in Python or at least one systems language such as Go, Rust, or C/C++.
Have deep familiarity with developer platform, release engineering, cloud infrastructure, or ERP/financial systems control domains.
Understand the role of the second line: you can advise and challenge engineering without taking ownership of their controls, and you know where the line sits between your monitoring and Internal Audit's independent testing.
Are a strong collaborator and communicator across Finance, Engineering, Internal Audit, and external auditors.
Use Claude and other LLMs as daily working tools, and have grounded, specific views on which SOX assurance workflows AI can run today and which it can't yet.
Translate SOX and framework language into acceptance criteria engineers can build against, and translate engineering reality back into assurance language auditors and leadership can rely on.
Default to getting the requirement designed into the system rather than papering over the gap with procedure.
Preferred qualifications
A combination of audit or advisory experience (Big 4 or equivalent, ideally IT audit) with in-house experience at an AI-forward tech company, in either order.
Taken a company through a first-year SOX 404(a) and 404(b) assessment, including a first external ITGC audit.
Defined or assessed controls over home-built financially significant systems, usage-based billing, or revenue metering pipelines.
Defined or assessed controls for AI/ML systems or agents acting in production environments.
Stood up continuous controls monitoring or automated evidence programs.
Experience with SOC 1 reliance, service organization control mapping, and complementary user entity controls.
CISSP, CISA, CPA, or equivalent certification.
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:
$410,000
—
$510,000 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
We launch new products, models and pricing often, and each launch has to work in our systems on day one. A seller needs to be able to quote it, Deal Desk needs to be able to approve it, billing needs to charge for it correctly, and Finance needs to report on it. This role owns how a launch gets into our quote-to-cash systems, from the first pricing conversation to the first invoice.
We are looking for someone who treats every launch as a change across many systems. You will join launch planning early, work out what has to change across catalog, quoting, contracts, billing, tax and reporting, and get all of it ready before the launch date. You will build a good part of the Salesforce work yourself and partner with our Salesforce developers and Billing Engineering on the rest. You will be the named owner of the NPI process for systems, and the person Product, Pricing and Finance call when they want to know what it takes to launch something.
We are an AI-first systems team. You will use Claude as a normal part of how you design, build, test and document, and you will look for ways to make launches faster and more repeatable with AI.
Key responsibilities
Own the systems side of new product and pricing launches, from the first pricing discussion through launch day and the first billing cycle
Turn a pricing and packaging decision into concrete system changes: SKUs, price books, bundles, discount and approval rules, contract terms, billing plans, tax codes and reporting
Build and run a repeatable NPI playbook: intake, a readiness checklist, sign-offs, a launch calendar and a post-launch review
Join launch planning early with Product and Pricing. Push back on pricing ideas that cannot be quoted, billed or reported cleanly, and offer options that can
Design how new pricing models work end to end, including usage-based, seat-based, tiered, committed and multi-year ramp pricing, and which system is the source of truth for each part
Plan the impact on existing customers: moving customers to new SKUs, grandfathering, amendments and co-termination, and how renewals will work
Own end-of-sale and retirement of products and prices, so old SKUs leave the catalog without breaking renewals, billing or reporting
Coordinate the changes across Salesforce, billing and our tax platform, working with the teams who own each system
Partner with Deal Desk, Sales, Finance, Accounting, Tax and Legal so each team signs off on what changes for them before launch
Make sure sellers and Deal Desk are ready on launch day, including quote templates, approval paths, guidance and enablement
Check every launch after it goes live: do quotes, orders, invoices and Finance reports match? Add the control or reconciliation that catches the gaps
Build and ship declarative solutions yourself where that is the right call, and write specs clear enough that developers can build the rest without several rounds of questions
Use AI to shorten launch cycles, for example generating catalog changes from a pricing spec, checking launch readiness, and testing quote and billing scenarios
Minimum qualifications
Experience in GTM or revenue systems as a Business Systems Analyst, Q2C Systems Lead or similar role, with hands-on ownership of product and pricing launches
Experience launching new products or pricing models at a fast-growing company, owning the change across catalog, quoting, contracts and billing
Hands-on experience with Salesforce CPQ, Revenue Cloud or a similar CPQ tool, especially product and pricing data models, price books, bundles and approval rules
Working understanding of how a pricing decision flows into bookings, invoicing, tax and revenue recognition
Experience running a cross-functional process with many sign-offs (Product, Finance, Legal, Sales) and getting to launch on a fixed date
Hands-on Salesforce admin skills (Flow, validation rules, page layouts, approval processes) and comfort building meaningful parts of your own solution
Clear communication across Product, sellers, Deal Desk, Finance, Legal and engineers, adjusting the level of detail for each
Preferred qualifications
Experience in GTM, revenue or finance systems roles
Experience with usage-based or consumption pricing, and with billing platforms such as Stripe, Metronome or Zuora
Experience moving existing customers onto new pricing, including migrations, grandfathering and amendments at scale
Experience with tax setup for new products (tax codes, tax engines such as Anrok or Avalara)
Experience with integrations between Salesforce and billing, ERP or provisioning systems, and comfort reading API payloads and integration logs
Basic SQL and comfort using a data warehouse to check launch data
Salesforce Administrator certification. CPQ Specialist, Advanced Administrator or Business Analyst certification is a plus
Hands-on use of AI tools (Claude or similar) in how you design, build or document systems, and the ability to explain how you check their output
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:
$270,000
—
$315,000 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: London Office
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
As a Premium Support Engineer at Replit, you’ll be the front line for our highest-value customers — delivering fast, expert, and reliable technical support when it matters most. You’ll handle complex product issues, guide customers through critical incidents, and ensure every interaction meets the highest standard of quality and speed.
Replit is at the forefront of AI-driven software development, and how we support customers is constantly evolving. You’ll play a critical role in shaping how Premium Support adapts to new products, new customer expectations, and AI-assisted workflows, operating effectively in ambiguity and driving clarity for your team.
You’ll combine deep technical troubleshooting with calm, confident communication to keep builders moving — whether it’s an enterprise team deploying at scale or a top-tier developer relying on Replit to power their business.
IN THIS ROLE YOU WILL:
- Serve as the trusted front-line contact for large enterprise customers, guiding them on AI prompting best practices, resolving bugs, and turning feedback into a better product experience, whilst adhering to strict SLAs.
- Diagnose, reproduce, and resolve complex technical issues across the Replit platform.
- Escalate and track high-impact issues with Product and Engineering, ensuring timely fixes and transparent communication.
- Lead customer-facing communications during outages or incidents.
- Analyse recurring issues and identify process and documentation improvements to reduce time-to-resolution
- Build and update internal tooling, automation, and documentation that improves team efficiency.
- Partner with Engineering, Product, Sales and other internal teams to ensure Premium customers receive a consistent, high-quality experience.
- Help onboard and mentor other support engineers, raising the team’s overall bar for responsiveness and quality.
REQUIRED SKILLS AND EXPERIENCE:
- 4+ years in technical support, developer support, or systems engineering.
- Experience managing and delivering against operational SLAs for enterprise accounts
- Strong hands-on debugging experience with JavaScript, Python, or similar languages, including the ability to read and reason through an unfamiliar codebase.
- Working knowledge of APIs, databases, and Git-based CI/CD workflows.
- Excellent written and verbal communication skills, able to convey technical concepts clearly to both technical and non-technical stakeholders.
- Familiarity with support tools like Zendesk, Linear, Slack, and internal debugging utilities.
- Proven ability to manage multiple high-priority issues simultaneously while maintaining accuracy and composure.
- A proactive, ownership-driven mindset and genuine empathy for customers building on Replit.
NICE TO HAVE:
- Has used Replit in the last 3 to 6 months.
- Experience working with IDEs, terminals, or other common developer tools.
- Experience with AI tools (Claude, ChatGPT, etc.).
- Exposure to cloud infrastructure (AWS, GCP, or similar).
WHAT WE VALUE:
- Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions
- Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams
- Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences
- Continuous learning: Passion for staying current with industry best practices and new technologies
- Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a GTM Strategy & Operations Business Partner supporting the
AMER Enterprise
Tech
organization, you will work closely with sales leadership to be a deep expert in a critical segment of our fastest-growing business. This role supports the AMER Enterprise Tech team, one of Anthropic's largest and most strategically significant commercial organizations, and will partner directly with executives to drive strategic analysis, operational efficiency, and growth initiatives while supporting critical global strategic initiatives.
This includes business performance analysis, facilitating operating cadences and powering business reviews, improving operational efficiency, driving strategic initiatives, and supporting the rapid evolution of our sales motions and organization.
We're building for a future where AI dramatically amplifies what strategy teams can accomplish. We're hiring people with the technical depth, business judgment, and executive potential to operate at that frontier — leveraging AI to eliminate routine work and redirect energy toward the strategic and creative challenges that move the business. This role will evolve rapidly, and we need someone with the ceiling and ambition to evolve with it.
Key responsibilities
Strategic Analysis, Operations & Planning
Partner with Sales leaders to analyze and refine segment-specific strategy including territory planning, resource allocation, performance to plan, and growth initiatives
Maintain excellence through business reviews and operating cadences to help achieve company revenue targets and strategic objectives
Be audible-ready about GTM efforts and a deep expert in your segment's book of business and trends with the ability to cut right to what matters for varying audiences from IC to executive
Data-Driven Decision Support
Analyze sales performance metrics and develop insights to optimize segment performance and improve efficiency using SQL, R, or Python to query, model, and visualize data at scale
Leverage Claude to its full capability
Partner to create, evolve and maintain reporting mechanisms, using data to go from "what" to "why"
Synthesize tangible, strategic recommendations based on go-to-market motions, deal outcomes, partner and customer feedback, and product opportunities
Build and maintain dashboards, models, and ad hoc analyses in spreadsheets and BI tools with mastery-level proficiency
Go-to-Market Execution
Develop and maintain use case frameworks to capture and standardize how customers derive value
Support multiple teams and executives in leveraging insights for new deals, expansions, and retention strategies
Partner with GTM teams to evolve and refine sales motions and best practices across segments and regions
Executive Stakeholder Management
Serve as a trusted strategic advisor to senior and executive stakeholders across the GTM organization, delivering insights and recommendations with clarity, conviction, and composure
Navigate high-stakes conversations with intense, demanding executives — maintaining poise under pressure while delivering candid, well-supported perspectives
Build deep credibility through consistent follow-through, proactive communication, and the ability to challenge assumptions respectfully when the data warrants it
Translate complex analyses into executive-ready narratives that drive decisions, managing up effectively across multiple senior leaders with competing priorities
Cross-Functional Collaboration
Work closely with Revenue Operations, Sales Enablement, Strategic Finance, and Product teams to drive initiatives and elevate excellence in course of business
Support coordination between AMER Enterprise sales segments and partnership teams
Help prepare materials for executive reviews and planning sessions
Minimum qualifications
Deep alignment to Anthropic’s mission
Experience in sales strategy, revenue operations, management consulting
Proficiency in SQL or R — you can independently write queries, build models, and extract insights from large datasets without relying on others
Mastery of spreadsheet tools and data (Google Sheets / Excel) — pivot tables, complex formulas, data modeling, and scenario analysis are second nature to you
Strong analytical skills with the ability to translate data into actionable insights and compelling executive narratives
Deep experience with GTM systems like Salesforce and business intelligence tools (Looker, Tableau, etc.)
Proven executive stakeholder management skills — you have a track record of presenting to and influencing C-suite and VP-level leaders in high-intensity environments.
An ability to pull signal through noise and an internal drive to create clarity. You strive for simplicity as the most elegant solution to complex situations.
A demonstrated ability to build trust with and influence a variety of stakeholders, including colleagues and other members of the GTM Strategy and Revenue Operations team
A healthy balance of idealism with pragmatism and the highest internal bar for excellence. You have been accountable for the results of your recommendations.
Track record of driving forward high-growth sales organizations
Disciplined project management and exceptional communication and interpersonal abilities
A desire and readiness to do the best work of your career
Bachelor's degree required; MBA or advanced degree preferred
Preferred qualifications
10+ years of experience in sales strategy, revenue operations, management consulting
Experience in both large Enterprises in technology, finance or professional services, in addition to fast-paced startup building
Experience with AI/ML companies and consumption business models
Prior experience building frameworks for sales use cases or value propositions
Background in scaling sales organizations through 2-3x+ growth periods
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:
$270,000
—
$310,000 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
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
As a Global Capacity Manager at Baseten, you will lead the "engine room" of the company, architecting, securing, and optimizing the global GPU fleet that powers our customers' AI workloads. You’ll own the end-to-end journey of capacity management, from securing multi-million dollar GPU clusters to building the automation that ensures 99.9% uptime across multi-cloud environments.
This role is a great fit for entrepreneurial engineers who want to bridge the gap between high-finance asset management and deep infrastructure engineering. You will act as the fleet orchestrator for the world's most advanced chips, ensuring Baseten never experiences a capacity outage while maintaining elite unit economics.
To be clear, this is a high-stakes engineering role. You will be hands-on with Kubernetes
orchestration while also leading specialized pods focused on the next generation of hardware, like NVIDIA’s Blackwell (B200) architecture.
EXAMPLE INITIATIVES
- The B200 Frontier: Architecting the infrastructure readiness and deployment strategy
for Baseten's first Blackwell GPU clusters.
Global Workload Orchestration: Building "Multi-cloud Capacity Management" systems
to move customer workloads seamlessly across regions to optimize cost and latency.
- Precision GPU Triage: Developing automated Go-based operators to identify, cordon,
and repair unhealthy H100 nodes in under an hour.
- The Supply Chain of Intelligence: Partnering with leadership to secure and reserve
dedicated capacity for Baseten’s largest enterprise customers.
RESPONSIBILITIES
- Lead Specialized Pods: Act as the lead for specific GPU pods (e.g., H100 or B200),
managing the full lifecycle of acquisition, air traffic control, and maintenance for those
assets.
- Advanced Orchestration: Execute complex workload migrations and "sticky"
deployment drains, ensuring deployment scheduling rules meet strict regional and
compliance requirements.
- Build for Scalability: Design and implement the "next version" of Baseten’s capacity
management system to handle a 10x increase in GPU volume.
Financial Modeling: Leverage your understanding of unit economics to build ROI
models for GPU spend, ensuring Baseten scales profitably.
- Cross-Team Collaboration: Partner with SRE, Infra, and FDE teams to take discrete
operational tasks off their plate and verify "last mile" follow-through on infrastructure
changes.
- Incident Response: Lead capacity-crunch response by rapidly untainting and re-
coordinating workloads during high-pressure outages.
REQUIREMENTS
- Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics,
or a related field
- 5+ years of professional work experience in a high-growth environment, preferably at a
hyperscaler (GCP, AWS, Azure) or a specialized GPU provider
- Deep expertise in Kubernetes, including hands-on experience with taints, cordons, node
draining, and custom operators
- Demonstrated experience with Go or Python in a production-level environment
Strong financial literacy and the ability to model complex trade-offs between capacity
reliability and cost
- High tenacity and collaborative mindset
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Remote-Friendly, United States; San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
seniorBangalore, India
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San Francisco, CA | New York City, NY | Seattle, WA
San Francisco, CA | New York City, NY
УдалённоBatumi, Georgia; Berlin, Germany; Munich, Germany; Lisbon, Portugal; Warsaw, Poland; Barcelona, Spain; Fully remote, any time zone with reasonable overlap with EU/CIS hours
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