О ПРОЕКТЕ
EMCD — ведущий игрок на рынке Web3-инфраструктуры. Мы ищем финансового аналитика, который станет стратегическим партнером для бизнеса. Ваша задача — не просто вести учет, а влиять на развитие компании через глубокое моделирование, оценку инвестиционных проектов и поддержку принятия решений на уровне руководства.
ВАШИ КЛЮЧЕВЫЕ ЗАДАЧИ
— Planning & Budgeting: Ведение процессов бюджетирования, создание rolling-прогнозов и долгосрочных финансовых планов.
— Variance Analysis: План-фактный анализ, выявление драйверов отклонений и подготовка рекомендаций.
— Investment Appraisal: Оценка новых проектов (NPV, IRR, Payback) и сценарный анализ для инвестиционного комитета.
— Strategic Modeling: Разработка и поддержка сложных финансовых моделей для оценки бизнес-инициатив.
— Reporting: Подготовка управленческой отчетности и презентаций для топ-менеджмента.
— Process Improvement: Автоматизация процессов планирования и анализа данных.
ЧТО МЫ ЖДЕМ ОТ ВАС
— Опыт: 3–6+ лет в FP&A, корпоративных финансах, инвест-анализе или консалтинге.
— Technical Skills: Продвинутый уровень Excel/Google Sheets, владение методами оценки бизнеса и Unit-экономики.
— English: Свободный уровень владения (C1 и выше).
— Soft Skills: Умение переводить сложные цифры в понятные бизнес-инсайты и опыт защиты кейсов перед руководством.
УСЛОВИЯ И БЕНЕФИТЫ
— Work-Life Balance: Полностью гибкий график и 32 оплачиваемых выходных дня в году (20 отпускных + 12 бонусных).
— Education: Оплата уроков английского (iTalki) и поддержка профессионального обучения (курсы, сертификации).
— Perks: 100% оплата больничных, скидки на продукты EMCD и доступ к майнинг-инфраструктуре.
— Impact: Реальное влияние на развитие Fintech & Crypto продуктов международного уровня.
Location: London
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU’LL DO
- Act as a primary point of accountability for customer trust enablement, including participation in customer meetings, security reviews and AI governance.
- Contribute to AI Governance including building guardrails to align with AI regulations (EU AI Act, ISO 42001, NIST AI RMF and local EU laws).
- Partner closely with Legal and Privacy to interpret regulatory requirements and support complex, security-sensitive contractual discussions, escalating risks and tradeoffs appropriately.
- Collaborate with Engineering and Product to ensure expectations are reflected in system design and operational effectiveness.
- Translate regulatory and privacy expectations into scalable, region-aware technical controls across model governance, agent security and safety, and data handling.
- Own and evolve customer-facing trust materials and narratives related to AI, privacy, and security.
- Represent Sierra in customer audits and formal assessments, clearly explaining security posture, governance decisions, and risk management approaches.
- Support resilience and response expectations as part of broader governance, with an emphasis on learning and continuous improvement.
- Continuously improve trust by identifying opportunities to streamline workflows, increase automation, and improve signal quality, while maintaining a high bar for accuracy and quality.
WHO YOU’LL WORK WITH
You will act as a strategic partner to Platform, Security, Product, Agent Development, Legal, and GTM, ensuring security and compliance requirements are embedded into architecture decisions, product roadmaps, and go to market execution while supporting product velocity and technical complexity.
WHAT YOU’LL BRING
- 8+ years of experience in security compliance, privacy, or regulatory roles in SaaS, fintech, or AI companies.
- Deep experience with EU regulatory frameworks, including GDPR, DORA, EU AI Act and emerging AI regulations, paired with strong awareness of US and APAC regulatory norms.
- Demonstrated ability to operate globally understanding where requirements must diverge and where alignment is possible.
- Experience engaging directly with enterprise and regulated customers as a trusted representative of security, privacy, and compliance.
- Ability to translate abstract or evolving regulatory requirements into defensible, real-world practices.
- Comfort operating in ambiguity, making reasoned judgment calls, and clearly articulating rationale and tradeoffs.
- Strong written and verbal communication skills, including close collaboration with Legal and external stakeholders.
EVEN BETTER...
- Direct experience preparing for or operationalizing DORA, EU AI Act or ISO/IEC 42001.
- Experience working in and/or supporting fintech or AI companies globally
- Familiarity with AI governance frameworks such as NIST AI RMF or CSA AI controls.
- Experience navigating cross-border data transfer, residency, and localization consideration in a multi-cloud environment.
- Prior experience in customer-facing, sales-adjacent, or deal-support contexts.
- Experience automating global security and compliance workflows.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: Remote - India
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next Senior Network Engineer.
About the job
This position is needed to help build, operate, and maintain the global corporate network infrastructure, VPN, ZTNA, and connectivity to our cloud-based systems. As part of the Identity and Network Trust team, you will monitor network performance to proactively respond to incidents. You will need to possess the technical knowledge to troubleshoot and perform root cause analysis for escalated connectivity issues. You also will collaborate with the security team and other engineering teams to develop a secured global network infrastructure.
Responsibilities
Build, operate and support the global Twilio IT network infrastructure.
Keep track of network assets, including network hardware and software.
Monitor the network performance, availability, utilization, throughput and latency, providing measurable metrics to the IT leadership team.
Work closely with stakeholder teams to determine current and future network needs.
Prioritize projects and work based on business priorities using the Scale Agile Framework (SAFe).
Develop methods and tools to be used to test and implement new LAN/WAN systems.
Analyze the current network structure and collaborate on how to make the network more efficient, scalable and sustainable.
Formulate strategies to maintain and upgrade network systems efficiently.
Respond to incidents, engage in network troubleshooting activities to determine root cause and resolve network issues.
Create and maintain documentation for network design, IT network standards and process.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
7+ years of experience with building campus and/or data center network infrastructure, AWS cloud services and networking
5+ years of experience with Cisco LAN/WAN/Wifi and Palo Alto Networks firewalls
3+ years experience with AWS cloud services and networking
Advanced knowledge of IEEE 802 standards and core IETF networking protocols including 802.11 suite, TCP/IP, DNS, DHCP, routing and switching protocols
Hands on knowledge of network monitoring
Knowledge of network security to implement security policy for compliance
Proficient skill in WIndows, Mac, Linux client networking
Experience in troubleshooting network problems at different OSI model layer
University degree in computer science or equivalent experience
Excellent written and verbal communication skills
Desired:
Cisco CCNA/CCNP Certification
AWS certification
Zscaler Zero Trust Systems experience and/or certifications
Scripting language with API automation
Experience with infrastructure as code (IaC) using Terraform
Knowledge of ITIL framework and its application in a network environment
Project management skills
Location
This role will be Remote and based in India (Karnataka, Tamil Nadu, Telangana, Maharashtra, Delhi)
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 15% travel is anticipated to help you connect in-person in a meaningful way and perform job duties
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: New York, New York, United States
The Chief Risk Officer (CRO) is a newly created role, as we establish a formal second line of defense, bringing Regulatory & Compliance, Enterprise Risk & Governance and Safety, Resilience & Incident Management together under one risk structure. The successful candidate will be a key member of iCapital’s Performance and Risk Management team, accountable for the enterprise-wide risk management, regulatory compliance, and safety and resilience programs of the firm and the design, oversight, and effectiveness of the firm’s global AML, KYC, sanctions, anti-financial crime, and customer due diligence framework.
This leader will oversee the integration of regulatory and compliance functions with a comprehensive enterprise risk management framework, ensuring iCapital continues to operate with strong governance, disciplined risk oversight, financial crime risk management capabilities, and regulatory credibility as the business scales globally.
Reporting directly to the Chief Financial Officer, the CRO will partner closely with executive leadership, the Board, and Board‑level Audit & Risk Management Committee to proactively identify, assess, and manage risk across iCapital’s global platform. This role is critical to iCapital’s continued growth, requiring a seasoned executive with deep expertise in alternative investments, complex regulatory environments, and enterprise risk management.
As a senior leader at the firm, the CRO will help shape firm strategy, influence key business decisions, and provide independent challenge and oversight across all risk domains. The CRO will serve as the principal risk advisor to senior management and the Board, ensuring that risk, compliance, AML/KYC, financial crime, resilience, and governance considerations are embedded into strategic planning, product development, acquisitions, and geographic expansion initiatives.
Responsibilities:
Regulatory & Compliance Oversight and Execution
Global Regulatory Strategy: Oversee regulatory compliance across iCapital’s global footprint, including U.S., Canada, UK, Europe, and APAC jurisdictions, and support expansion into new regulated markets.
Alternatives & Structured Products: Provide leadership on regulatory requirements governing alternative investments, structured investments, annuities, and registered and private fund vehicles.
Licensing & Registrations: Oversee regulatory registrations, licensing, exemptions, and ongoing obligations with regulators including the SEC, FINRA, and international authorities.
Policies & Controls: Ensure the development and maintenance of scalable policies, procedures, training, and controls aligned with regulatory requirements and business strategy.
Regulatory Engagement: Serve as the senior executive representative for regulatory examinations, audits, and inquiries, maintaining strong, credible relationships with regulators and external advisors.
Financial Crime, AML & KYC Leadership: Ensure the design and effectiveness of controls for identifying, assessing, mitigating, and reporting money laundering, terrorist financing, sanctions, fraud, and other financial crime risks.
Enterprise Risk & Governance Leadership
Enterprise Risk Management (ERM): Design, evolve, and execute iCapital’s enterprise risk management framework, including risk appetite, governance, assessment, and reporting across all business lines and geographies.
Risk Governance: Provide oversight through established governance forums, including the Board‑level Audit & Risk Management Committee, Corporate Risk Management Committee, and operational risk working groups.
Risk Assessment & Monitoring: Maintain and enhance the enterprise risk register, integrating Risk Control Self‑Assessments (RCSAs), risk appetite metrics, and issue management into a consistent, scalable framework.
Executive & Board Engagement: Serve as the primary point of contact for senior management and the Board on risk‑related matters, delivering clear, actionable insights and recommendations.
Risk Controls, Assurance & Audits
Controls Framework: Partner with Finance, Technology, Legal, and Operations to strengthen internal controls, including IT General Controls (ITGCs), ICFR, and operational controls.
SOC 2 & Assurance: Oversee SOC 2 audits across business lines, managing auditor relationships, evidence collection, remediation, and ongoing control maturity.
Technology & Data Risk: Collaborate with Technology and Security teams to manage platform, data protection, and information security risk in a technology‑enabled business model.
Safety, Resilience & Incident Management
Business & Technology Resilience: Ensure the firm’s ability to continue delivering critical services through disruption by maintaining approved business continuity and disaster recovery plans, validated through regular testing.
Incident Management: Oversee a centralized enterprise incident management framework, including escalation protocols, response playbooks, and crisis communications.
Life Safety & Physical Security: Provide oversight of physical security, life safety, and emergency preparedness programs across offices, travel, and firm‑sponsored events.
Leadership & Team Development
People Leadership: Lead, mentor, and develop global teams across risk management and compliance functions, fostering a culture of accountability, partnership, and continuous improvement.
Cross‑Functional Collaboration: Work closely with Finance, Legal, Technology, Product, and Business leaders to embed risk awareness into decision‑making while enabling growth and innovation.
Culture of Risk Awareness: Promote a strong risk and compliance culture that balances commercial objectives with disciplined governance.
Qualifications:
15+ years of senior leadership experience in risk management, compliance, or governance within financial services, fintech, asset management, broker‑dealer, or investment advisory environments
Deep, hands‑on experience with alternative investments, including regulatory treatment, product structure, and distribution considerations
Demonstrated executive accountability for AML, KYC, sanctions, customer due diligence, financial crimes compliance, and broader regulatory compliance programs operating across multiple jurisdictions.
Proven ownership of regulatory compliance in highly regulated environments, including direct interaction with regulators and responsibility for examinations and audits
Demonstrated success designing and operating enterprise risk management frameworks in complex, multi‑jurisdictional organizations
Strong knowledge of U.S. securities regulation (SEC, FINRA, Advisers Act, Investment Company Act), AML and financial crimes requirements (Bank Secrecy Act, USA PATRIOT Act, OFAC), and familiar with international frameworks such as AIFMD and MiFID
Credible, confident leader with the judgment and independence to challenge constructively and advise senior leadership and the Board
Able to translate complex regulatory and risk concepts into practical, scalable solutions aligned with business strategy
Proven track record building and leading large, global teams and influencing outcomes across complex matrixed organizations.
Strong executive presence, strategic mindset, and demonstrated ability to balance risk management objectives with commercial growth priorities.
Bachelor’s degree required; advanced degree (JD, MBA, or equivalent) strongly preferred. Professional certifications (FRM, CRCMP, CFA, CPA, CAMS) a plus
Benefits:
The base salary range for this role is $350,000 to $400,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: Berlin, Germany
Workplace: hybrid
Berlin • Cybersecurity & AI Startup • Recently Funded
A newly funded cybersecurity startup in Berlin is looking for a
Backend Engineer(Go)
to join as a founding team member and help design the core security, identity, and enforcement foundations of a next-generation AI-powered security risk management platform.
We are an early-stage startup founded by experienced cybersecurity leaders with backgrounds in Israeli Intelligence units. We are looking for a hands-on
Founding Backend Engineer(Go)
for a hybrid role based in central of Berlin. If you are passionate about cybersecurity and AI tech, thrive in fast-paced startup environments, and enjoy building complex platforms from the ground up, this is an opportunity to make a real impact.
They’re building a next-generation cyber risk platform that helps enterprises understand, measure, and reduce identity risk at scale. Their goal is to turn complex identity and security data into clear, actionable risk insights that CISOs and CTOs can trust. You will work from scratch on core platform components from day one, shaping how modern enterprises manage and reason about risk using cloud-native systems, AI-driven analysis, and automated enforcement through AI agents.
Key Responsibilities
Develop and maintain
backend applications
using Go
Design and optimize cloud-based solutions using
AWS services
(EC2, Lambda, S3, SQS, SNS, etc.)
Design, use and manage
databases
, including PostgreSQL, Neo4J, Redis, and Elasticsearch
Develop, manage, and optimize
containerized applications
using Docker
Automate processes
using Bash/Python scripting
Optimize and maintain
RESTful APIs
, ensuring security and performance
Work closely with frontend engineers, DevOps, and product team
to deliver robust applications
Monitor, debug, and improve
backend performance
, reliability, and scalability
Implement
caching, messaging queues, and event-driven architectures
where needed
Build whole platform
from scratch
Must have skills
5+ years
of
GoLang
experience
Hands-on coding mentality;
can build things from scratch and familiar with different architectures
Hands-on experience with
Docker, Kubernetes
(EKS) and containerized workloads
Experience designing
RESTful
and
gRPC
APIs and using frameworks like
Gin
Hands-on experience with messaging systems (e.g.,
SQS
,
Kafka
)
Experience with
CI/CD pipelines
(GitHub Actions or similar)
Experience operating
PostgreSQL (RDS / Aurora), Neo4J(or similar)
Experience with
AI agents
, LLM-based systems, MCP, RAG, Prompts, Embeddings, Vector, etc
Experience with
AI stack
(AWS Bedrock, LangChain, pgvector or similar)
Experience with
Infrastructure as Code
(Terraform)
Experience with
monitoring, logging, observability
(Grafana, OpenTelemetry, Prometheus)
Ability to
troubleshoot
production issues end to end
Experience with
Coding CoPilots
(Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.)
Experience supporting
production SaaS platforms
Strong understanding of
SaaS integrations
and app-to-app permission flows
High ownership mentality, startup mindset, and ability to move quickly
Experience in
startup or scale-up environments
Low ego, high commitment, and a
true tech startup mentality
Strong
problem-solving skills
and ability to work in a collaborative environment
Excellent
English
communication skills
Nice-to-have requirements
Experience working with
Java
Ability to code in
Python
Experience with security architecture, identity security, or
security engineering
Familiarity with
compliance frameworks
(NIS2, DORA, ISO 27001, SOC 2)
Experience with
AWS
in production environments
Exposure to
graph-based modeling
(identity graph, access graph, risk graph)
Familiarity with
compliance frameworks
(NIS2, DORA, ISO 27001, SOC 2)
Understanding of
OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts
Familiarity with cloud identity and security controls (e.g.
IAM, CloudTrail, Azure Active Directory / Entra ID
)
Hands-on with SIEM platforms such as
Splunk, Microsoft Sentinel, or IBM QRadar
Experience designing
permission models, identity graphs, or access control frameworks
Knowledge of tokenization,
Zero Trust principles
, least privilege, and continuous verification
Experience with Security related to
AI/LLM systems, agent logic, or willingness to learn fast
Familiarity with
AI agent behavior
, LLM security, or agent sandboxing
Previous experience in
cybersecurity
, identity startups
You are a fan of
rock or metal
music
Excellent
German
communication skills
Benefits
Founding Team Member Equity
— ESOPs in a cybersecurity company
Competitive Compensation
— salary aligned with market, flexible early-stage arrangements possible
Founding Team Member Status
— shape the company from day one and own critical technical decisions
Fresh Funding Secured
— immediate runway to build, hire, and execute fast
Security Contribution
— contribute to security architecture across identity, AI agents, and enforcement
High Autonomy
— freedom to design and build without corporate overhead
Work with a Technical CEO and CPTO
— fast iteration, strong alignment, clear direction
Cutting-Edge Domain
— identity security, SaaS-to-SaaS access, AI agent governance
Massive Learning Curve
— quickly gain depth in cybersecurity, identity, and AI systems
Fast Career Path
— opportunity evolve into leadership as we scale the engineering team
Berlin Location
— top-tier tech environment with strong cybersecurity and AI ecosystems
Direct Impact
— your architecture and code become the foundation of the entire platform
Best Equipment and Tools
- High quality equipment and modern tools to help you do your best work from day one
Team Offsites -
Regular team offsites designed to build strong connections, alignment, and shared momentum
Location: San Francisco, CA; New York, NY
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU'LL DO
- Build enterprise-grade AI agents: As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day.
- Engage with customers: In the role, you will engage with all levels of our customers’ businesses:
- Discover and assess their requirements.
- Prepare and present demonstrations of Sierra’s agent.
- Address and overcome technical challenges in the business process by working with technical counterparts.
- Develop and improve Sierra virtual agents to fit and anticipate our customers’ needs and business processes.
- Become trusted advisors and drive strategic technical strategies for our customers.
- Shape the product roadmap: Work with Sierra’s engineering and product development teams to scope and implement new features essential to the success of your customers.
WHAT YOU'LL BRING
- 5-7+ years experience in product development of highly technical products.
- Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager.
- Experience crafting and tailoring a message for potential customers, including executives.
- Ability to communicate highly technical concepts to both non-technical and technically proficient audiences, including recent AI developments.
- Degree in a technical or related field, or equivalent professional experience.
EVEN BETTER...
- AI-related experience (experience with product development for AI agents a plus).
- Some coding experience with React, Typescript, and Go.
- MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles).
- Past roles that interface with end customers to influence software development.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: Hybrid - San Francisco
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
Vercel is hiring a Strategic Cloud Partnerships Lead to own and grow our relationships with the cloud and infrastructure companies that underpin our platform and help us reach enterprise customers.
This role sits at the intersection of infrastructure, product, and go-to-market. You will work with Vercel’s Product and Engineering teams to understand how we use our partners’ infrastructure today, identify where deeper technical collaboration could improve our platform or economics, and turn those opportunities into executable partnership strategies. At the same time, you will build joint go-to-market motions that create pipeline, accelerate enterprise deals, and make Vercel more strategic to our partners’ field organizations.
This is a hybrid position, based in San Francisco, with in-office anchor days on Monday, Tuesday, and Friday.
What you'll do
Own a named set of strategic cloud partners end to end, with accountability for the health, growth, and business impact of each relationship
Develop a clear strategy and joint business plan for each partner, covering technical priorities, commercial opportunities, go-to-market motions, investments, and measures of success
Build a detailed understanding of how Vercel uses each partner’s infrastructure today and identify opportunities to improve performance, reliability, geographic reach, product capabilities, or unit economics
Build the business case for new initiatives: size the opportunity, define the customer value, scope the technical investment, model the economics, and give leadership a clear recommendation
Develop and execute joint go-to-market motions, including co-selling, account mapping, marketplace programs, solution development, field enablement, demand generation, and executive engagement
Lead negotiations involving cloud consumption, commercial commitments, marketplace terms, co-sell investments, product integrations, and joint customer offerings
Lead cross-functional teams across Product, Engineering, Infrastructure, Sales, Marketing, Finance, and Legal to move initiatives from concept through agreement, launch, and growth
What you need
8+ years of experience in cloud partnerships, strategic alliances, business development, enterprise sales, or a related role at a cloud, infrastructure, developer tools, or platform company
A track record of building and growing strategic relationships with major cloud or infrastructure providers
Strong go-to-market experience, including developing joint value propositions, launching co-sell motions, creating pipeline, and helping close complex enterprise opportunities
Strong technical fluency across modern cloud infrastructure and application delivery. You do not need to be an engineer, but you can understand architectures, ask incisive technical questions, and earn credibility with product and engineering teams
Commercial judgment and experience negotiating complex agreements, including cloud commitments, marketplace terms, co-sell structures, or joint product initiatives
Strong agency and comfort with ambiguity. You identify what matters most, decide where to invest, and can defend the choice
Excellent written and verbal communication with executives, technical leaders, field teams, and customers
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA salary range for this role is $234,000-286,000 plus annual bonus. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: New York, New York, United States
About the Role
iCapital is seeking a Technology Program Manager to partner closely with Engineering and Technology leadership teams to deliver complex, high-impact initiatives across the firm’s most critical technology priorities. This role sits at the intersection of strategy and execution, bringing best-in-class program management practices to large-scale, cross-functional initiatives. The team operates in an internal consulting capacity, driving clarity, alignment, and disciplined execution across multi-team programs. This individual will engage across a diverse portfolio including greenfield software development, enterprise vendor implementations, cloud and infrastructure initiatives, data and analytics and machine learning efforts, and broader technology innovation programs.
As iCapital continues to scale, the company is increasingly leveraging AI-enabled tools and automation to enhance engineering productivity and program transparency. This role requires comfort operating in an AI-augmented environment, identifying opportunities to use emerging technologies to improve planning, reporting, decision-making, and cross-team coordination. This is a leadership and execution role focused on orchestration, visibility, and delivery excellence; it does not involve hands-on coding or testing.
Responsibilities
Lead end-to-end delivery of complex, cross-functional technology programs spanning multiple engineering teams.
Partner with the Engineering teams to define scope, roadmap, milestones, and measurable outcomes.
Establish clear governance, reporting, and risk management practices to ensure transparency and accountability.
Communicate program status, risks, dependencies, and mitigation strategies to senior stakeholders.
Collaborate with Technology leadership to shape forward-looking strategy and execution frameworks.
Drive continuous improvement initiatives to enhance delivery effectiveness across the broader Technology teams.
Bring structure and clarity to ambiguous or evolving initiatives.
Qualifications
5-10 years of relevant experience
Bachelor’s degree in engineering, computer science, business administration, or related field preferred
Experience in at least two of the following: technical program management, financial services industry, or technology or financial services consulting
Strong understanding of software development lifecycle (SDLC) methodologies
Familiar with relational database concepts and data modeling
Exposure to cloud technologies (i.e. AWS)
Experience with project management tools such as JIRA, Monday.com, or similar platforms
Able to influence stakeholders and build consensus across diverse viewpoints
Strategic thinker who can connect big-picture objectives to detailed execution plans
Comfortable navigating complexity and ambiguity
Exceptional verbal and written communication skills and organizational skills with attention to detail
Strong interpersonal skills with a collaborative, team-oriented mindset
Able to operate effectively both independently and within cross-functional teams
PMP certification is a plus
Benefits
The base salary range for this role is $100,000 to $120,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
As a Transformative AI Research Economist at Anthropic, you will build macroeconomic models of AI that could be genuinely transformative and develop the scenario-based forecasting tools that let us reason quantitatively about economic trajectories with no historical precedent. You will work on questions of aggregate growth, income distribution, and economic governance under scenarios that most of the profession has not yet modeled seriously.
You will ground projections in microeconomic signals from the
Anthropic Economic Index
— usage patterns across millions of real-world AI interactions, surfaced through privacy-preserving measurement — so that scenario forecasts are disciplined by what we actually observe about task transformation and productivity. You will use frontier methods in growth theory, computational macro, and structural estimation, and contribute to AI-powered tools that expand what economic research can do.
Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our
privacy-preserving measurement system
, we
analyze millions of real-world AI interactions
to understand how AI augments and automates work across different occupations and tasks.
Responsibilities
Build macroeconomic models of transformative AI spanning growth, labor markets, and income distribution
Develop and maintain scenario-based forecasting tools; publish forecasts for GDP, productivity, and unemployment under a range of AI-capability trajectories
Ground macroeconomic projections in microeconomic data from the Anthropic Economic Index, constraining theory with observed patterns of adoption and task transformation
Analyze questions of income distribution and economic governance under transformative-AI scenarios
Contribute to the development of AI-powered research tools for economics
Contribute to Economic Index Reports and publish Research Briefs on first-order questions as they arise
Build and maintain relationships with academic institutions, policy think tanks, and other research partners
Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders
You May Be a Good Fit If You Have
PhD in Economics, or an exceptional candidate close to completion
Background in macroeconomics, growth theory, or public finance ideally with exposure to task-based frameworks and labor economics
A research record that engages seriously with the possibility of transformative AI — you treat the scenarios in this posting as live questions worth modeling rigorously, not speculation to be hedged against
Relevant experience in some of:
Macroeconomic modeling and structural estimation
Scenario-based and time-series forecasting
Task-based approaches to technological change
Computational methods, agent-based modeling, or large-scale simulation
Income distribution and inequality
Using large language models in the research workflow
Technical skills including:
Proficiency in Python, Julia, or similar for computational economics
Facility with AI coding agents as part of a research workflow
Comfort learning new technical tools and frameworks
Demonstrated ability to:
Lead research projects from conception to publication
Ship on tight timelines and revise in public as new data arrives
Communicate technical findings to diverse audiences
Strong interest in ensuring AI development benefits humanity
Some Examples of Our Recent Work
Labor market impacts of AI: A new measure and early evidence
Anthropic Economic Index Report: Economic Primitives
Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption
Estimating AI productivity gains from Claude conversations
The Anthropic Economic Index
Additional Information
For this role, we're looking for candidates who combine rigorous macroeconomic theory with computational fluency, and who are willing to model economic scenarios that fall outside the profession's usual range. The ideal candidate works at the intersection of growth theory, forecasting, and frontier AI.
Deadline to apply: None. Applications are reviewed on a rolling basis
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is investing $50 billion in American computing infrastructure, including datacenters custom-built for our workloads, and this role sits at the heart of that effort. As a Staff Engineer on the Datacenter Server Lifecycle team, you will own the end-to-end operational journey of every machine in our datacenters – from initial provisioning and deployment, steady-state operation, maintenance, and repair.
This is greenfield work: you will help define the services, tooling, standards and processes that govern how we operate critical hardware at scale, powering frontier model development and serving. You will have the opportunity to define AI-native workflows for datacenter operations and to help drive innovations on efficiency, performance, and reliability.
A distinguishing aspect of this role is its deep intersection with security. The machines in our datacenter handle some of the most sensitive workloads in AI – training frontier models and serving millions of users interacting with Claude. Ensuring that every machine in the fleet is trusted, attested, and operating with a verified chain of integrity from the hardware up is a core part of the job, not an afterthought. You will partner closely with our Infrastructure Security team to define and enforce trusted compute standards across the lifecycle, from secure provisioning through end-of-life handling.
Key responsibilities
Build automation to support datacenter fleets at scale.
Define and own the end-to-end system lifecycle strategy – from provisioning and deployment through operation, maintenance, refresh, and decommissioning – and maintain automation and operational procedures for common lifecycle events (e.g., hardware failures, firmware upgrades, fleet rotations).
Partner closely with Infrastructure Security to design and enforce trusted compute standards across the server lifecycle.
Work closely with our Networking team to ensure end-to-end connectivity across all sites.
Build and maintain tooling to track machine health, configuration, and operational status across the full datacenter fleet.
Minimum qualifications
Hands-on experience with server hardware, including rack deployment, cabling, troubleshooting, and understanding failure modes at scale.
End-to-end understanding of hardware lifecycle management: asset tracking, provisioning workflows, maintenance scheduling, and decommissioning practices.
Proficiency in at least one programming language (e.g., Python, Rust, Go, or Java).
Working knowledge of modern cloud infrastructure, including Kubernetes and large scale cloud providers (e.g. AWS, Azure, GCP).
Ability to communicate clearly and build consensus with a wide range of stakeholders.
Comfort navigating ambiguity and making progress on complex, cross-functional problems.
Willingness to travel occasionally to datacenter sites across North America.
Preferred qualifications
8+ years of experience in datacenter infrastructure management, or a closely related discipline.
Hands-on experience with GPU or AI accelerator hardware (e.g., NVIDIA A100/H100, Google TPUs, or AWS Trainium) and an understanding of their operational demands.
Familiarity with modern provisioning and OS tooling such as LinuxBoot and NixOS
Experience building or contributing to datacenter automation or fleet management platforms.
Experience building and deploying server operating system distributions across large server fleets.
Background in large-scale capacity planning and hardware refresh strategy, ideally at a hyperscaler or large cloud provider.
Experience with trusted compute and hardware security concepts such as secure boot, TPM, hardware attestation, and firmware verification — or a strong desire to develop deep expertise in this area.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Dublin, IE
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.
The team has a dual mandate:
maximizing compute efficiency
to serve our explosive customer growth, while
enabling breakthrough research
by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.
As a Staff Software Engineer on our Inference team
, you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research. Strong candidates should have familiarity with performance optimization, distributed systems, large-scale service orchestration, and intelligent request routing. Familiarity with LLM inference optimization, batching strategies, and multi-accelerator deployments is highly encouraged but not strictly necessary.
Strong candidates may also have experience with:
High-performance, large-scale distributed systems
Implementing and deploying machine learning systems at scale
Load balancing, request routing, or traffic management systems
LLM inference optimization, batching, and caching strategies
Kubernetes and cloud infrastructure (AWS, GCP)
Python or Rust
You may be a good fit if you:
Have significant software engineering experience, particularly with distributed systems
Are results-oriented, with a bias towards flexibility and impact
Pick up slack, even if it goes outside your job description
Want to learn more about machine learning systems and infrastructure
Thrive in environments where technical excellence directly drives both business results and research breakthroughs
Care about the societal impacts of your work
Representative projects across the org:
Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
Building production-grade deployment pipelines for releasing new models to millions of users
Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
Contributing to new inference features (e.g., structured sampling, prompt caching)
Supporting inference for new model architectures
Analyzing observability data to tune performance based on real-world production workloads
Managing multi-region deployments and geographic routing for global customers
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
€295.000
—
€355.000 EUR
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Bogotá, Colombia; Buenos Aires, Argentina; Montevideo, Uruguay; Bangalore, India; Islamabad, Pakistan; Hanoi, Vietnam; London, United Kingdom; Lugano, Switzerland; Barcelona, Spain; Dubai, United Arab Emirates; Sofia, Bulgaria; Prague, Czechia; Belgrade, Serbia; Copenhagen, Denmark; Tallinn, Estonia; Helsinki, Finland; Athens, Greece; Zagreb, Croatia; Tbilisi, Georgia; United Kindom, United Kingdom; Dublin, Ireland; Milano, Italy; Oslo, Norway; Amsterdam, Netherlands; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Stockholm, Sweden; Brussels, Belgium; Tel Aviv, Israel
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
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USDT
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Tether Power:
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Tether Data:
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KEET
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: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the role:
You will own the inference backbone behind QVAC's local AI stack: the C++ systems layer that makes models run fast, reliably, and predictably on real user hardware. The role is centered on engineering quality at runtime level, including startup behavior, memory pressure, throughput/latency balance, and long-session stability. You will define and evolve the core abstractions that inference features depend on, so new capabilities can be added without sacrificing performance or maintainability. This is a role for someone who enjoys low-level problem solving, clear technical ownership, and building infrastructure that other teams trust in production. Your work directly enables private, on-device AI experiences and helps set the technical foundation for QVAC's next generation of peer-to-peer AI products.
About the job
You'll work on the C++ layer that powers local AI, porting and enhancing inference engines like llama.cpp or similar, to run efficiently on edge devices. Your focus is on the runtime: making models load faster, run leaner, and perform well across different hardware. You'll ensure that the inference layer is stable, optimized, and ready for integration with the rest of the stack.
This role is for engineers who want to work close to the metal, enabling private and fast on-device AI without relying on cloud infrastructure.
Responsibilities
Work on deploying machine learning models to edge devices using the frameworks: llama.cpp, ggml
Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments
Integrate AI features into existing products, enriching them with the latest advancements in machine learning
Strong programming skills in C++
Strong experience with Llama.cpp and ggml inference engines, which facilitates the deployment of models to specific GPU architectures
Experience with any GPU framework between Cuda, Vulkan, Metal, OpenCL
Good understanding of deep learning concepts and model architectures
Experience with transformers, LLMs, Diffusion models
Demonstrated ability to rapidly assimilate new technologies and techniques
A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI R&D
Bonus points if:
You know how to train/fine-tune a LLM
You have productionized models
You have research experience in new model architectures
You have experience with distributed systems
Javascript experience
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Tallinn, Estonia
Are you looking for the next professional opportunity, that will challenge you and advance your career?
Join our team now!
Tickmill is looking to hire a
AI Automation Engineer
to join our rapidly expanding team.
Join a high-caliber team and contribute to its success with your passion, hard work and positive attitude.
About Tickmill.
Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options).
Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide.
Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
Join the Tigers!
About the Role
We’re looking for an experienced
AI Automation Engineer
to design, implement, and optimize AI-driven workflows across the organization. You’ll act as an internal consultant — understanding business challenges, proposing intelligent automation solutions, and deploying AI agents that improve efficiency, accuracy, and scalability.
This role blends technical expertise in AI and automation with strategic thinking and business understanding. It requires a high degree of autonomy and initiative. You will be expected to work independently, proactively identify opportunities, and drive solutions end‑to‑end with minimal supervision while collaborating with stakeholders as needed.
What does the role look like?
Partner with business departments to identify process inefficiencies and automation opportunities.
Design and prototype AI agentic workflows using modern frameworks and LLM-based tools.
Develop, integrate, and deploy AI agents capable of handling varied business tasks (e.g., reporting, customer communication, data processing, or internal operations).
Evaluate and benchmark AI models, frameworks, and tools to select optimal solutions.
Establish best practices for prompt engineering, context management, and workflow orchestration.
Work closely with engineering teams to ensure robust system integration, data privacy, and compliance.
Create technical documentation, user training, and playbooks for deployed AI automations.
Monitor system performance and continuously refine agent behaviors and models.
What do you need to succeed in this role?
Proven experience in building or integrating AI systems, intelligent agents, or automation frameworks.
Experience with Forex / FinTech or other similar companies supporting Sales, Marketing and Finance teams with AI.
Strong understanding of LLMs, vector databases, and agent architecture (e.g., LangChain, AutoGen, CrewAI, or custom agentic frameworks).
Programming skills in Python and familiarity with REST APIs, webhooks, and automation tools.
Ability to translate business needs into technical solutions and communicate them clearly.
Familiarity with cloud environments (AWS, Azure) and enterprise integrations in general.
Experience with RAG (Retrieval-Augmented Generation), chains, and memory management in AI systems.
Excellent problem-solving, analytical, and stakeholder communication skills.
Will be considered as a plus:
Background in machine learning, NLP, or process automation.
Experience with tools such as CLAW to support Data teams
Experience deploying production-level agentic systems or AI copilots.
Exposure to enterprise workflow automation tools (Jira, HubSpot, etc).
Understanding of data governance, model evaluation, and prompt engineering patterns.
By joining us, you can expect:
A Unique Opportunity for a career in a global, fast-growing company.
Attractive
remuneration package
based on qualifications and experience.
Opportunities to learn and grow through our “
Employee Training & Development program”.
Stebby Sports Compensation or Confido Health Compensation.
Multiple
events
to bond with the team and the group.
Birthday and Loyalty
benefits
.
Make your next Career step and apply NOW!
*Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.
Location: Limassol, Cyprus
Are you looking for the next professional
opportunity,
that will challenge you and advance your career?
Join our team now!
Tickmill
is looking to hire a
AI Automation Engineer
to join our rapidly expanding team.
Join a high-caliber team and contribute to its success with your passion,
hard
work
and
positive attitude.
We’re looking for an experienced
AI Automation Engineer
to design, implement, and optimize AI-driven workflows across the organization. You’ll act as an internal consultant — understanding business challenges, proposing intelligent automation solutions, and deploying AI agents that improve efficiency, accuracy, and scalability.
This role blends technical expertise in AI and automation with strategic thinking and business understanding.
About
Tic
kmill
.
Tickmill
is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures &
Options).
Founded in 2014, the
Tickmill
Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia,
Seychelles
and several other locations worldwide.
Our culture is built on trust, transparency, and
high standards
. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
Join the Tigers!
What does the role look like?
The
AI Automation Engineer
will have the chance to:
Partner with business departments to
identify
process inefficiencies and automation opportunities.
Design and prototype AI agentic workflows using modern frameworks and LLM-based tools.
Develop, integrate, and deploy AI agents capable of handling varied business tasks (e.g., reporting, customer communication, data processing, or internal operations).
Evaluate and benchmark AI models, frameworks, and tools to select
optimal
solutions.
Establish best practices for prompt engineering, context management, and workflow orchestration.
Work closely with engineering teams to ensure robust system integration, data privacy, and compliance.
Create technical documentation, user training, and playbooks for deployed AI
automation
s
.
Monitor system performance and continuously refine agent behaviors and models.
What do you need to succeed in this role?
Proven experience in building or integrating AI systems, intelligent agents, or automation frameworks.
Experience
with Forex /
FinTech
or other similar companies supporting Sales, Marketing and Finance teams
wi
th AI
.
Strong understanding of LLMs, vector databases, and agent architecture (e.g.,
LangChain
,
AutoGen
,
CrewAI
, or custom agentic frameworks).
Programming skills in Python and familiarity with REST APIs, webhooks, and automation tools.
Ability to translate business needs into technical solutions and communicate them clearly.
Familiarity with cloud environments (AWS, Azure) and enterprise integration
s in general
.
Experience with RAG (Retrieval-Augmented Generation), chains, and memory management in AI systems.
Excellent problem-solving, analytical, and stakeholder communication skills.
Will be considered as a plus:
Background in machine
learning
, NLP, or process automation.
Experience with tools such as CLAW to support Data teams
Experience deploying production-level agentic systems or AI copilots.
Exposure to
enterprise workflow automation tools (Jira, HubSpot,
etc
).
Understanding of
data governance, model evaluation, and prompt engineering patterns.
By joining us, you can expect:
Unique Opportunity for a career in a global, fast-growing company.
Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance).
Opportunities to learn and grow through our “Employee Training & Development program”.
Medical Insurance Cover, which includes Outpatient, Inpatient, and Dental Care.
Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company.
Participation in our welfare investment and savings plan through our Provident Fund Scheme.
Birthday and Loyalty benefits.
Collaboration with SportBenefit.
Make your next Career step and apply NOW!
*
Due to the
great number
of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.
Location: Argentina; Brazil; Mexico; Colombia; Costa Rica
Overview
We are seeking a
Senior Mechanical Engineer
to support the design and development of
Battery Energy Storage Systems (BESS)
. This role focuses on the mechanical design of equipment enclosures and integrated platforms that house batteries, inverters, transformers, and other power infrastructure.
The ideal candidate has strong experience in
mechanical product design using SolidWorks
, with exposure to
sheet metal, structural assemblies, and thermal management of electrical equipment
.
Key Responsibilities
• Design
mechanical enclosures and structural platforms
for battery energy storage systems.
• Develop
equipment layouts and mechanical assemblies
supporting service access, ventilation, and cable routing.
• Create
3D models and detailed drawings in SolidWorks
, including sheet metal and weldments.
• Perform
structural and thermal analysis
to support battery cooling and system safety.
• Coordinate closely with
electrical and manufacturing teams
to ensure proper equipment integration.
• Support
prototype builds, testing, and product development phases
.
Requirements
• Bachelor’s degree in
Mechanical Engineering
.
•
7+ years of experience
in mechanical design for industrial equipment or energy systems.
• Strong experience with
SolidWorks (sheet metal, weldments, large assemblies)
.
• Experience with
structural design and thermal management
for electrical or power equipment.
• Familiarity with
engineering documentation, BOMs, and manufacturing processes
.
• Strong
English communication skills
.
Benefits
Work for the most exciting companies in the North American Market.
Flexible schedules.
Work from anywhere.
Highly competitive compensation.
УдалённоseniorArgentina; Brazil; Mexico; Colombia; Costa Rica
Location: United States; Canada; United Kingdom
About Huzzle
At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms across industries such as SaaS, MarTech, FinTech, and EdTech.
Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. This means you work closely with internal teams, contribute to meaningful projects, and have real opportunities for career growth.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
Our client is a fast-growing AI-first B2B growth agency that helps high-growth tech companies scale revenue through AI-powered Revenue Operations, automated outbound systems, and growth infrastructure.
They work with venture-backed startups and scaling B2B SaaS companies, implementing end-to-end GTM systems, sales automation, and data-driven outbound strategies.
Since launching, the company has grown from $0 to $2M ARR in under a year while working with some of the fastest-growing startups backed by leading venture capital firms and accelerators.
We are looking for a GTM Engineer to help design and implement scalable Revenue Operations systems, outbound infrastructure, and automation workflows for high-growth B2B SaaS companies.
In this role, you will work at the intersection of RevOps, outbound growth, data infrastructure, and AI-powered automation. You will collaborate with founders, sales leaders, and RevOps teams to design and execute modern go-to-market strategies.
Key Responsibilities
GTM Strategy & Play Design
Recommend and implement
outbound GTM plays
tailored to each client’s ICP and growth stage
Advise clients on
sales tech stack selection and automation tools
Build
lead allocation systems
to distribute prospects across sales teams efficiently
TAM Mapping & Data Infrastructure
Build ICP models using firmographic, technographic, and behavioral signals
Map Total Addressable Markets (TAM) and prioritize high-value accounts
Implement signal tracking systems using first-party and third-party data sources
Identify decision-makers and buying committee members within target accounts
Clay & Data Enrichment
Build advanced Clay workflows for data enrichment and account research
Implement AI-driven enrichment pipelines to automate manual research
Create automation workflows using tools such as Clay, APIs, and workflow automation platforms
Develop account scoring systems to prioritize high-intent prospects
Outbound Campaign Development
Build personalized multi-channel outbound campaigns across email and LinkedIn
Create scalable outbound sequences while maintaining personalization
Analyze campaign performance and iterate based on results and client feedback
Client Communication & Collaboration
Participate in weekly client calls to discuss strategy and performance
Collaborate internally using Notion, Slack, and documentation tools
Contribute to internal GTM playbooks and process documentation
Deliver performance reports and growth recommendations
Requirements
Must Have
2 - 4+ years of experience in Sales, RevOps, Sales Operations, BizOps, or GTM Engineering
Experience working in B2B SaaS, startups, or agencies
Strong working knowledge of Clay
Curiosity about AI tools, automation, and growth experimentation
Strong problem-solving mindset and ability to learn quickly
Fluent English communication skills
Nice to Have
Experience with HubSpot or Salesforce CRM systems
Experience with workflow automation tools such as n8n
Experience working with sales automation or outbound tooling
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue — and every dollar of it runs through Billing Platform. We build and operate the infrastructure that turns product usage into revenue across everything Anthropic ships:
Claude.ai
, the Developer Platform, Claude Code, and whatever comes next. The faster we can price it, charge for it, and account for it correctly, the faster Anthropic can fund the mission.
We’re looking for a software engineer to join Billing. Depending on where you land, you might be building the integration contracts product teams plug into so they can launch a paid SKU without becoming billing experts, automating the quote-to-cash lifecycle so enterprise deals don’t bottleneck on manual ops, or building the reconciliation and data foundations that keep every revenue number trustworthy at audit time. This is production-critical infrastructure where correctness is non-negotiable — a rounding error here is a revenue discrepancy somewhere else — and you’ll work closely with Finance, Product, Sales, and Accounting to build systems that scale with the business.
What you’ll do
Design and ship billing capabilities end to end — pricing primitives, payment flows, contract and entitlement models, revenue data pipelines — depending on the surface area you own.
Build for correctness first. Billing data is financial data; you’ll develop the instincts for where idempotency, reconciliation, and audit trails matter and where they don’t.
Own the interfaces. Whether it’s the billing API a product team integrates against or the revenue dataset Finance closes the books on, you’ll design contracts that hide the complexity and hold up under change.
Make build-vs-buy calls. We lean heavily on third-party billing, payment, and tax platforms, and you’ll decide where to extend them and where to build our own primitives around them.
Own the payments stack. Authorization rates and retry logic so a good card doesn’t silently decline, processing cost as a real number you drive down, automated dispute response, and fraud controls that stop bad actors without blocking real customers.
Drive down the manual work. Enterprise contract amendments, pricing config changes, billing support escalations — a lot of it is still human-in-the-loop, and closing that gap is a direct line to scale.
Operate what you ship. You’ll own SLOs on customer-facing flows, instrument the revenue pipeline so discrepancies surface before month-end close, and be on the hook when it pages.
Partner across the company. Growth wants promotional mechanics, Sales wants quote flexibility, Finance wants GAAP-clean data, product teams want it yesterday — you’ll help thread that needle.
You may be a good fit if you
Have 8+ years building backend or platform systems in production, 3+ years leading large scale, complex projects or teams as an engineer or tech lead
Have a track record of shipping in fast-moving environments where the requirements shift under you and you still land something correct and maintainable.
Care about correctness and data integrity as first-class design concerns, not afterthoughts — and know how to build systems that are easy to reason about when money is on the line.
Enjoy cross-functional work. Billing sits between Product, Finance, Sales, and Legal, and a lot of the job is translating between those worlds.
Strong candidates may also have
Built billing, payments, subscription, or fintech systems before — and know firsthand how a small pricing change ripples through the whole stack.
Direct experience integrating or extending third-party billing and payment platforms, and opinions on where they fall short.
Worked on revenue reconciliation, financial reporting pipelines, or systems that had to survive an audit.
Experience with enterprise commerce — CPQ, quote-to-cash, contract management, or the operational side of B2B billing.
Owned payments optimization in a self-serve or PLG environment — authorization rates, payment cost, fraud, chargebacks — and know what it takes to move those numbers without breaking the good customers.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Philippines
Workplace: remote
Contract Type: Freelance
Language: English (Philippines)
About the Role
We are seeking a detail-oriented AI Data Quality & Annotation Specialist to help develop and evaluate large language models (LLMs). Your role will involve reviewing English language content to assess sentiment accuracy, factual consistency, and reasoning quality using structured guidelines. This position is ideal for individuals with sharp analytical skills, attention to detail, and the ability to consistently apply labeling standards.
What You Will Do:
- Review and label content for sentiment, factual accuracy, and reasoning issues.
- Evaluate model outputs across quality dimensions using scoring frameworks.
- Validate automated assessments and identify discrepancies or errors.
Requirements:
Advanced English proficiency (reading and writing) with professional-level fluency.
Strong comprehension and articulation skills, with the ability to provide clear and well-reasoned written justifications.
Previous experience in data annotation, AI training, or related projects.
Preferred experience in analytical fields such as linguistics, journalism, research, or similar domains.
Exceptional attention to detail and accuracy.
Proven analytical reasoning and critical thinking abilities.
Consistency in decision-making across high volumes of tasks.
Familiarity with AI systems, large language models (LLMs), or evaluation processes (preferred but not required).
УдалённоPhilippines
УдалённоseniorRemote - India
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