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.
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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.
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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.
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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.
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Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: 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: United States of America
What We Do:
Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.
Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.
Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.
Reports To: VP of Product
Location: Remote US
Compensation: $230,000 to $250,000
base plus bonus and equity
About the Role:
We are building a product management organization to own and drive our product strategy and are looking for an experienced product manager to join this growing team. As a Staff Product Manager at Huntress, you will assist the CTO in driving the success and expansion of our SIEM product launched in October 2024. We are not building yet another SIEM that intends to replicate what every other SIEM already does. We are building a SIEM that focuses on what really matters to our Small Enterprise and SMB partners. They don’t need a SIEM with all the advanced features and the costs that come with that; they need a SIEM that keeps the relevant data, reduces the noise, makes it easy to find what they need, doesn’t require full-time employees to manage, and works at a cost that fits their budget. This is an opportunity to upend the existing SIEM market for everyone who wants or needs a SIEM but whose current solutions don’t work.
This position offers the chance to help scale the vision of an already wildly successful company past $200M and beyond, sustaining and building on a remarkable existing growth rate. You will make an impact on the vision, goals, and, in partnership with other functions, execution of a SaaS offering (like other Huntress products) that keeps SMB and mid-market customers safe and secure with cutting-edge capabilities currently only found in the largest enterprises. You will work very closely with the company founders, product leaders, engineering leaders, support, sales, and marketing teams, as well as other Product Managers.
To be successful in this position, you must possess a combination of strong business acumen and technical skills to bridge customer business requirements with trends in the threat landscape. You’ll be asked to frequently interact with customers, prospects, and industry analysts to articulate our value proposition.
What You’ll Do:
Work with the Portfolio Leader and relevant stakeholders to assist in setting the SIEM product vision and strategy, and clearly articulate the business value so that everyone understands where we are headed
Analyze market trends and perform competitor analysis and research in order to drive strategy as well as pricing and the product roadmap
Demonstrate an ability to decipher and articulate potentially ambiguous client needs and mold them into successful, innovative solutions that surprise and delight the customer
Work with designers, engineers, and architects to create detailed business requirements, epics, and user stories that will be used to shape product specifications and architecture
Prioritize features by assessing their alignment with the broader product strategy and initiatives, as well as unmet market needs
Participate as a key contributor in all phases of product development, from discovery to launch
Drive and manage product roadmap and go-to-market strategy by working closely with marketing, sales, and executive leadership teams
Collaborate with marketing and other key stakeholders to drive and execute product launches to market
Derive feedback and insights from customers through face-to-face interaction and collaboration throughout the product development lifecycle
Serve as the intermediary between engineering and senior management and other non-technical stakeholders, with the ability to break down and translate highly technical information into layman's terms and vice versa
Drive high-level strategic initiatives and execution while possessing a willingness to dig into the weeds
Work with design and engineering teams to produce mockups, wireframes, and prototypes to assess the validity and strength of a new product or feature idea.
Manage and drive results from user experience testing and gain crucial insights into how customers use (or don’t use) the platform
In partnership with product operations, provide product metrics, including conversion rate, churn rate, and monthly recurring revenue, etc., to track and evaluate the success of the product strategy
What You Bring To The Team:
7+ years of experience in a product management role with past responsibility for SIEM products; bonus for SOAR Products
Demonstrated success driving longer-term vision and strategy that resulted in outperformance
Experience leading product innovation, feature ideation, delivery, and launch
Demonstrated experience designing and delivering products utilizing artificial intelligence tools and technologies, such as Claude or similar
Experience working in an agile development environment using agile development tools
Leverage excellent written and verbal communication skills to create epics and stories for engineering that align engineers with intended outcomes
Experience with products delivered from AWS or other cloud environments
Strong creative and critical thinking abilities
Experience building products for the SMB is a significant benefit
What We Offer:
100% remote work environment - since our founding in 2015
Generous paid time off policy, including vacation, sick time, and paid holidays
12 weeks of paid parental leave
Highly competitive and comprehensive medical, dental, and vision benefits plans
401(k) with a 5% contribution regardless of employee contribution
Life and Disability insurance plans
Stock options for
all
full-time employees
One-time $500 reimbursement for building/upgrading home office
Annual allowance for education and professional development assistance
$75 USD/month digital reimbursement
Access to the BetterUp platform for coaching, personal, and professional growth
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to
accommodations@huntresslabs.com
. Please note that non-accommodation requests to this inbox will not receive a response.
Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our
Candidate Privacy Notice
for more details on our practices and your data privacy rights.
#BI-Remote
Location: Yerevan, Armenia
Description
The MENA Region Partners Development Team Manager will be responsible for managing and driving a team of Partners Development Managers while ensuring operational excellence and strategic growth across the MENA region. This role involves managing people, ensuring efficient day-to-day operations, developing market strategies, and aligning regional goals with corporate objectives.
Responsibilities
Responsible for managing the Partners Development team, ensuring that the issues raised by team members are addressed and solved quickly
Initiate market research and ensure that there are no technical or procedural gaps in the company compared to the competitors, and initiate innovations that will put the company on better terms in the competition
Initiate product development requests once noticing product gaps, and be responsible for quickly solving the product-related gaps
Be the main contact person with Incident Management and Change Management teams and collaborate with the operators, internal teams, and Partners Development team to ensure that the issues are addressed and solved quickly
Be in touch with operators, get involved with issues raised by the operators about product and processes, and escalate them to the Head of MENA.
Initiate Casino and Sportsbook development plan for the entire region and initiate a strategy to develop partner numbers with targeted promotional activities
Be responsible for the collaboration of the Casino Success team of MENA, involved with all decisions about the promotional activities with Casino Success managers and the Partners Development team. Track the success of the promotional activities
Provide weekly and monthly reports to the Head of MENA about achievements, present issues, promotional activities, and matters that should be solved with the involvement of the Head of MENA.
Requirements
Proven experience (3+ years) in a partnership management, business development, or operational role within the iGaming or related tech industry
2-3 years in a leadership or team lead role
Experience in revenue growth, retention, and upselling strategies
Ability to manage a team of up to 12 managers.
Strong skills in: Performance management, Mentorship and coaching, Conflict resolution, Cross-team coordination
Excellent communication, negotiation, and relationship-building skills.
Ability to manage relationships with: C-level stakeholders, Product teams, Commercial teams, and Technical teams.
Ability to work under pressure and multitask.
Effective time management skills
Ability to pay attention to details at work and prioritize them
Advanced knowledge of the Armenian language and excellent knowledge of the English language.
Location: United Arab Emirates; South Africa; Philippines; Ethiopia; Egypt; Morocco
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 in 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.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We’re looking for a results-driven Meta & Google Ads Specialist to plan, execute, and optimize high-performing paid advertising campaigns across Meta Ads (Facebook & Instagram) and Google Ads. In this fully remote digital marketing role, you’ll manage campaign strategy, audience targeting, performance tracking, and budget optimization to maximize ROI and lead generation.
This role is ideal for professionals experienced in performance marketing, paid media buying, and data-driven campaign optimization who enjoy working in fast-paced international teams.
Key Responsibilities
Plan, launch, and manage paid advertising campaigns across Meta Ads (Facebook & Instagram) and Google Ads.
Conduct audience research, keyword research, and competitor analysis to improve campaign performance.
Optimize campaigns for lead generation, conversions, and return on ad spend (ROAS).
Monitor campaign performance and adjust bids, budgets, targeting, and creatives accordingly.
Analyze campaign metrics using tools like Google Analytics, Meta Ads Manager, and Google Tag Manager.
Collaborate with creative and marketing teams to develop high-performing ad creatives and landing pages.
Run A/B tests on ad creatives, copy, audiences, and landing pages.
Provide performance reports and strategic recommendations to improve results.
Manage advertising budgets and ensure campaigns stay within performance targets.
Requirements
Must-Have:
3+ years of experience managing Meta Ads and Google Ads campaigns.
Proven experience optimizing campaigns for lead generation, sales, or e-commerce conversions.
Strong understanding of conversion tracking, pixels, and analytics tools.
Experience with Google Analytics, Google Tag Manager, and reporting dashboards.
Ability to analyze data and translate insights into campaign improvements.
Strong communication and collaboration skills in remote environments.
Experience working with SaaS, e-commerce, marketing agencies, or B2B companies is a strong advantage.
Google Ads or Meta Blueprint certifications are a plus.
Benefits
💰 Competitive salary: Tailored based on skillset and experience
🌎 Fully remote: Work from anywhere with a flexible schedule.
🚀 Growth-oriented environment: Join a young, creative, and fast-scaling marketing team.
📈 Long-term potential: Opportunity to grow into a senior strategist role.
🎨 Creative freedom: Work on innovative campaigns for diverse clients.
🧠 Skill development: Exposure to advanced Meta strategies, GHL integrations, and tracking systems.
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:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: 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: 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).
Location: Mexico; Colombia; Argentina; Chile; Brazil
We are looking for a
Senior Electrical Engineer
with strong experience in
mission-critical power systems
to support the design and development of advanced infrastructure projects, including
data centers, generator plants, and battery energy storage systems (BESS)
.
This role involves working closely with U.S.-based engineering teams on the design and integration of complex electrical systems that ensure
high reliability, redundancy, and energy efficiency
.
Key Responsibilities
Design and support
electrical power systems for data center infrastructure
, including medium-voltage distribution, switchgear, transformers, and UPS systems.
Support the
integration of large generator plants
used for backup power in mission-critical environments.
Contribute to the design and implementation of
Battery Energy Storage Systems (BESS)
, including battery systems, inverters, and energy management systems.
Coordinate electrical system layouts and equipment integration with multidisciplinary engineering teams.
Review electrical drawings, specifications, and technical documentation to ensure compliance with project requirements and industry standards.
Participate in technical discussions, design reviews, and coordination meetings with U.S.-based teams.
Requirements
Electrical Engineering degree
8+ years of professional experience
Proven experience working on
data center electrical infrastructure
Experience with
backup power systems and generator integration
Exposure to
Battery Energy Storage Systems (BESS) or large-scale energy storage projects
Strong knowledge of
medium-voltage electrical systems, switchgear, transformers, and protection systems
Previous experience working on
U.S.-based engineering projects is highly valued
Fluent English communication skills
Nice to Have
Experience working with
hyperscale data center projects
Benefits
Work for the most exciting companies in the North American Market.
Flexible schedules.
Work from anywhere.
Highly competitive compensation.
УдалённоseniorMexico; Colombia; Argentina; Chile; Brazil
Location: Argentina; Mexico; Panama; Colombia; Costa Rica; Bolivia, Plurinational State of
About Huzzle
At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle.
Role Type: Full-time
Engagement: Independent Contractor
Key Responsibilities
Client Consultation & Strategic Advisory
Act as a trusted, consultative partner to multiple automotive and collision repair clients simultaneously.
Guide executive teams through strategic growth challenges and business expansion opportunities.
Deliver structured advisory sessions focused on revenue optimisation and market positioning.
Go-to-Market (GTM) Strategy Development
Develop, pitch, and oversee implementation of comprehensive GTM strategies.
Design revenue acceleration frameworks tailored to dealership groups and collision repair businesses.
Identify new market penetration opportunities and competitive positioning strategies.
Growth Roadmapping & Data Analysis
Analyse market trends, competitive landscapes, and performance data.
Build actionable, data-driven growth roadmaps aligned with client revenue targets.
Translate insights into clear execution plans across marketing, operations, and sales functions.
Project Management & Delivery
Manage end-to-end client engagements, ensuring deliverables are high quality, on time, and within scope.
Coordinate with internal marketing, sales, and operations teams to execute strategy.
Maintain structured documentation, timelines, and milestone tracking.
Performance Tracking & KPI Optimisation
Establish key performance indicators (KPIs) aligned with revenue growth goals.
Monitor, measure, and report on performance impact.
Continuously refine strategies based on data insights and client feedback.
Industry Expertise Leadership
Serve as the internal subject matter expert for automotive, dealership, and collision repair markets.
Stay ahead of industry trends, technology shifts, and competitive movements.
Provide thought leadership to strengthen the agency’s positioning in the automotive space.
Requirements
Proven experience in a consulting role (management consulting, growth consulting, or strategic agency environment).
Direct professional experience within the automotive, dealership, or collision repair industry (mandatory).
Demonstrated track record of driving measurable, significant revenue growth.
Strong understanding of GTM strategy, business expansion, and operational optimisation.
Advanced analytical and data interpretation skills.
Excellent client-facing communication and executive presentation abilities.
Ability to manage multiple high-impact projects simultaneously.
Strong commercial acumen and revenue-focused mindset.
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 | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's Safeguards team is responsible for enforcing our policies, protecting users, and ensuring our platform is not misused. As a Safeguards Enforcement Analyst focused on Safety Evaluations, you'll play a central role in ensuring our models meet safety and policy standards before and after launch. You'll run and monitor evaluations, drive mitigations when issues surface, coordinate the creation of new evals, and help build the processes and documentation that allow the team to scale this work over time.
This role requires someone who is detail-oriented, comfortable navigating ambiguity, and capable of coordinating across teams to break new ground and drive work to completion. This work is deeply cross-functional — you'll partner closely with policy experts, Safeguards engineering teams, and many other stakeholders throughout the organization to ensure our evaluations are comprehensive and current, and that findings translate into meaningful improvements to model behavior.
Responsibilities
Support model launch readiness by running evaluations, monitoring and interpreting results, and surfacing regressions or unexpected behavior changes to relevant stakeholders
Partner closely with policy and domain experts throughout the evaluation lifecycle — from identifying risks and scoping the right evaluation approach, to coordinating creation of new evals and ensuring existing ones remain current with evolving policies, threat vectors, and model capabilities
Work with cross-functional stakeholders to help manage evaluation outcomes, including interpreting results and driving mitigations where needed
Think strategically about eval quality to build processes and eval paradigms that keep evaluations unsaturated, high-signal, and insightful as models improve
Build out processes and frameworks for creating product-specific evaluations as Anthropic's product surface area expands
Help design and scope tooling improvements that accommodate evolving eval needs and expand self-serve eval creation and iteration for non-technical users
Write and maintain rigorous documentation for evaluation creation, execution, and interpretation as the team builds out eval tooling and processes
You may be a good fit if you:
Have experience in trust and safety, content operations, policy enforcement, or a related operational role at a technology company
Thrive in ambiguous, fast-moving environments — you're energized rather than frustrated when the path forward isn't clearly defined and you need to figure it out as you go
Have experience building processes, workflows, or programs from scratch (zero-to-one work), not just maintaining existing ones
Have strong program management instincts, naturally creating structure around complex, multi-stakeholder efforts by tracking timelines, dependencies, and deliverables to keep work on track
Are eager to expand your technical toolkit, including adopting internal tools and AI-assisted workflows (e.g., Claude Code) to accelerate your work
Can manage multiple concurrent workstreams across different domain areas without losing track of details — strong prioritization and context-switching are essential when deadlines and priorities shift quickly
Are a strong generalist comfortable moving fluidly across different types of work and switching contexts throughout the day
Are comfortable making judgment calls with incomplete information and escalating appropriately when needed
Communicate clearly and concisely, both in writing and cross-functionally
Strong candidates may also have:
Experience operating under tight, high-stakes timelines — such as product launch cycles, incident response, or regulatory deadlines — where information and priorities can shift with little notice
Experience coordinating across engineering, policy, and product teams to translate findings into concrete action
Experience building and maintaining SOPs, runbooks, and operational documentation in fast-changing environments
Proficiency with data tools (SQL, dashboards, spreadsheets) sufficient to maintain and improve workflows
Comfort working with sensitive content areas as part of eval creation or enforcement review responsibilities
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:
$230,000
—
$270,000 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.
New York, New York, United States
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