Location: Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Strategic Account Executive for the Northeast region, you'll drive GitLab's enterprise growth by helping some of the area's most influential organizations adopt, implement, and expand their use of our AI-powered DevSecOps platform. You'll focus on strategic enterprise accounts, guiding customers through complex digital and DevSecOps transformations and driving pipeline generation that translates into measurable Net ARR and long-term expansion. In this role, you'll act as a key connector between customer stakeholders and GitLab's field organization so GitLab is seen as a trusted, long-term partner across the full sales cycle. In your first year, you'll be expected to build a strong enterprise portfolio across your territory, create repeatable sales motions, and consistently forecast and report on deal progress and account health.
What you'll do
Drive strategic growth by leading GitLab's enterprise accounts across the Northeast, serving as a trusted technology advisor to industry leaders in your territory.
Orchestrate winning sales strategies by bringing together Solutions Architects, Customer Success experts, Sales Development, Channel & Alliances, and other technical specialists to deliver transformative, AI-powered DevSecOps solutions.
Shape the future of software development by crafting innovative solutions that align GitLab's platform with customers' long-term vision, compliance needs, and business objectives.
Build deep, strategic partnerships by mastering your customers' industry landscape, success metrics, and growth trajectories so you can position GitLab as their indispensable technology ally.
Design and execute strategic account plans, including opportunity mapping, stakeholder alignment, and multi-threaded engagement, to expand GitLab usage within new and existing major accounts.
Lead end-to-end customer journeys from initial discovery through evaluation, negotiation, and successful implementation, ensuring a consistent, high-quality experience at every stage of the sales cycle.
Champion continuous improvement by contributing to forecasting and pipeline reviews, conducting sophisticated win/loss analyses, and sharing strategic insights that refine our go-to-market approach.
Prepare and deliver compelling customer-facing and internal presentations, proposals, and recommendations that clearly communicate value, business outcomes, and the path to long-term partnership with GitLab.
What you'll bring
Experience driving complex B2B software sales cycles with enterprise customers, ideally in DevSecOps, software development tools, or adjacent SaaS solutions.
Background selling into large, strategic enterprise accounts in the Northeast United States, with the ability to build trusted C-level and senior stakeholder relationships across business and technical teams.
Knowledge of the Northeast enterprise market, including key industries, buying centers, and decision-making dynamics, with the ability to build and nurture a relevant professional network.
Ability to drive new business acquisition and expansion within enterprise accounts through consultative, multi-stakeholder sales motions that lead to sustainable, long-term customer partnerships.
Experience collaborating with channel and strategic partners to generate pipeline, co-sell, and support successful customer adoption.
Effective communication and interpersonal skills, with the ability to lead account strategy, influence internal and external stakeholders, and remain calm under pressure.
Ability to work in line with GitLab's values, use GitLab and Salesforce in your daily work, and travel as needed while following company travel policies.
About the team
The Enterprise Sales team is responsible for driving growth, adoption, and long-term value for GitLab's AI-powered DevSecOps platform with our largest and most strategic customers. As a Strategic Account Executive focused on the Northeast, you'll be part of a distributed, all-remote team that works asynchronously across regions and partners closely with GitLab's sales engineering, marketing, and customer success teams. We value transparency, collaboration, and a consultative approach, and we support one another through shared account planning, regular deal reviews, and knowledge sharing focused on enterprise customers across the Northeast region.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$110,800
—
$186,600 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
УдалённоRemote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
Location: 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 manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute.
As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend.
You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment.
This is a pipeline role feeding four areas.
Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap:
Data platform
Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need.
Planning
Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other.
Efficiency
Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number.
Attribution and forecasting
Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO.
Key responsibilities
Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs.
Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale.
Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline.
Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration.
Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable.
Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company.
What you bring
A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor.
Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable.
Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations
Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on.
Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction.
Preferred qualifications
Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here.
Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads.
Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements.
Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers.
Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level.
Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed.
Storage efficiency, retention, and lifecycle program experience at exabyte scale.
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
—
$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: New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute.
As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend.
You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment.
This is a pipeline role feeding four areas.
Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap:
Data platform
Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need.
Planning
Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other.
Efficiency
Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number.
Attribution and forecasting
Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO.
Key responsibilities
Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs.
Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale.
Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline.
Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration.
Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable.
Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company.
What you bring
A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor.
Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable.
Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations
Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on.
Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction.
Preferred qualifications
Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here.
Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads.
Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements.
Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers.
Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level.
Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed.
Storage efficiency, retention, and lifecycle program experience at exabyte scale.
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
—
$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: Mexico City, Cuauhtémoc, Mexico
Working at Bitso
We are a diverse team that takes pride in understanding the perspectives of others. We fully embrace working remotely and we are eager to act, improve and drive rapid progress inside and outside of our organization.
To drive revolutionary changes in society and make crypto useful, we delight our customers with world-class products, deep care, and intentional empathy.
Your Purpose
As an Onboarding Operations Analyst, you will be responsible for supporting the customers registration and onboarding process within Bitso Business. You will actively manage the workflow for account registration, ensuring efficiency and compliance while contributing to strategic improvements that enhance scalability. Your insights will play a key role in enabling Bitso Business accounts to become fully operational. Collaborating cross-functionally, you will optimize workflows, streamline processes, and ensure the seamless execution of daily operations. Your role will be essential in identifying bottlenecks, improving system performance, and driving continuous enhancements across our platform.
Also, you are going to be responsible to give support to customers with issues related with access to their accounts, 2FA reset, data updates and so on.
Location
Mexico City
Reports To
Business Operations Manager
What You Will Do
Review and process customer applications for Bitso Business accounts, ensuring all required documents are submitted and validated.
Identify inefficiencies in the onboarding process and suggest improvements.
Work with tech teams to automate manual processes for faster customer activation.
Coordinate with KYB, Compliance, Legal, Fraud, and Tech teams to resolve onboarding issues.
Ensure seamless communication between internal teams to accelerate approvals.
Assist customers with onboarding-related questions and troubleshoot registration issues.
Provide guidance on documentation requirements and eligibility criteria.
Track key onboarding metrics such as approval rates, processing times, and bottlenecks.
Provide insights to improve efficiency and enhance customer experience.
Proactively identify areas for enhancement and contribute to operational strategies.
Give support after the account onboarding, with issues related to the accounts access, the activation of new products, data updates…
Qualifications
2+ years of experience in an Operations Analyst or similar role.
Strong analytical skills and experience with ticket service tools (e.g., Jira, Zendesk).
Ability to identify inefficiencies and propose effective solutions to improve processes.
Experience tracking threads and customer requests via Slack or email
Capability and great communications skills to manage support meetings with customers when necessary.
Experience in working with cross-functional teams and managing multiple stakeholders.
Knowledge of the cryptocurrency or fintech industry is a
plus
.
Excellent organizational, communication, and time management skills.
Ability to adapt in a fast-paced environment and work with evolving priorities.
Who We Are
With over 10 million users, Bitso is the leading cryptocurrency platform in Latin America. We are developing the cryptocurrency ecosystem in the region and enabling financial inclusion. We believe crypto is the future of finance, and we’re committed to making it useful by providing equal access to safe and intuitive financial products.
We are here to make a lasting impact on our customer’s lives and we do so by embracing our core values:
Be Human:
we delight our customers through great products, deep care and true empathy. We are humble and we take pride in understanding the views of others to help us see the full picture.
Drive Change:
we're fearless pioneers committed to unlocking the crypto revolution for humanity. We move fast, take risks and work together to drive lasting impact.
Choose Bold Honesty:
we seek the truth, especially when it’s uncomfortable, in our teams, products and business reality because that will uncover where we need to focus.
Be an Owner:
our sense of urgency makes us have a bias towards action, where we prioritize exceptionally and are wise in allocating our time to ensure we always deliver creative and innovative results.
Learn more about our
culture and values
.
Compensation & Benefits
At Bitso, you are taking the front seat on the edge of crypto innovation, creating the next generation of crypto-powered products.
So for those willing to commit, adapt and pioneer the most important change of the century we offer:
Me Time program
, including unlimited paid time off.
Employee Stock Option
program.
Extended
Family Leave
policy: all birthing parents, non-birthing parents and adopting parents are eligible for a 4-months leave.
Premium health, dental and life
Wellness
platform.
Want to leave an undoubtedly legacy with us? Fasten your seatbelt and join this spaceship, where you will find exponential growth and the opportunity to thrive!
Location: Philippines
Role Summary
We are seeking experienced, detail-oriented
Referral & Authorization Coordinators
to join our growing Cardiology practice. Unlike a general front desk position, this is a dedicated specialist role that owns the complete lifecycle of office visit referrals and prior authorizations—from initial intake to final scheduling and resolution.
Working independently within
Epic EMR
, you will verify patient insurance eligibility, navigate HMO/PPO authorization rules, coordinate directly with referring provider networks, and keep patients informed throughout the clearance process.
Requirements
Key Responsibilities
Full Lifecycle Referral Management:
Receive, triage, and manage high-volume cardiology referral intakes; track requests from initial receipt through authorization approval and closure.
Prior Authorization Processing:
Submit, track, and secure prior authorizations specifically required for cardiology office visits and specialist consultations in accordance with payer guidelines.
Insurance Verification & Eligibility:
Conduct comprehensive insurance eligibility, copay, coinsurance, and network benefit verifications across Medicare, Medicaid, and commercial carriers (HMO, PPO, POS).
Provider & Patient Coordination:
Communicate efficiently with referring physician offices to obtain missing clinical documentation; reach out directly to patients to outline coverage details and next steps.
Epic EHR Workqueue Navigation:
Maintain daily management of referral workqueues in Epic, ensuring accurate data entry, precise status updates, and meticulous clinical documentation.
Payer Escalations & Denial Follow-Up:
Proactively contact insurance representatives to resolve authorization delays, clarifying medical necessity documentation to prevent service delays.
Highly Preferred Qualifications
Epic EMR Expertise:
Direct hands-on experience using Epic (specifically Referral and Authorization Workqueues).
Enterprise Background:
Experience operating within a large medical group, health system, or enterprise clinical setting.
Language Skills:
Bilingual English/Spanish
(required for 2 of the 4 available openings).
Specialty Experience:
Prior experience in a Cardiology practice or multi-specialty group.
Payer Diversity:
Exposure to Medicare Advantage, state Medicaid programs, and major commercial payers.
Location: Limassol, Cyprus
Freedom24 is a trusted online broker with expertise in the US, European, and Asian stock markets, registered in Cyprus, and offers a broad range of services in the financial markets.
Freedom Team is a union of highly qualified professionals on the market, bursting with vibrant energy and pioneer ideas. All of us are goal-oriented with a strong belief in teamwork power built on the strength of each of us. We work in a fast-paced environment and within cross-functional teams. We are dedicated to achieving the best possible result, and no one thinks he doesn’t make a change.
If you feel like you’re a good fit for us and we are a good fit for you, go ahead and check this position out.
About the Role
We are looking for a Head of Budget & Cost Control to lead our budgeting and cost control function. Reporting to the CFO, you will manage the company-wide budgeting process, track how budgets are spent and drive cost efficiency across the business. You will lead the budgeting and cost control team and give management accurate, timely financial insight.
1. Budget Planning & Management
Implement and improve budgeting methods for operational, investment (CAPEX) and financial budgets in line with the company's financial policies.
Prepare and consolidate the company-wide budget, including forecasts, scenario analysis and investment models.
Run the full planning cycle: set tasks, define timelines and make sure deadlines are met.
Develop, update and maintain internal policies and procedures for budgeting and cost control.
2. Budget Control
Run monthly variance analysis (actual vs. plan), find the root causes and recommend specific actions.
Monitor budget limits and escalate overspends.
Support the automation and digitalization of budgeting and cost control processes using ERP and BI tools.
3. Cost Control & Optimization
Carry out regular cost reviews and efficiency assessments for departments, projects and products.
Identify and propose initiatives that improve efficiency and reduce operating costs.
Implement cost-reduction initiatives and track and report the savings achieved.
Monitor compliance with budget and financial policies and procedures.
4. Financial Analysis & Reporting
Prepare management reports for senior management.
Build financial models and assess the profitability of projects and capital investments.
Provide analysis to support the company's long-term financial strategy.
5. Team Leadership
Lead and develop the budgeting and cost control team.
Mentor team members, assign responsibilities and evaluate performance.
Requirements
Must-have
Degree in Economics, Finance, Accounting or a related field.
More than 5 years of experience in budgeting, controlling, FP&A or financial management (an audit background is welcome); 2–3 years managing a team.
Strong hands-on budgeting experience: operating budget, CAPEX/OPEX and cash flow.
Solid management accounting and variance analysis skills.
Strong financial modeling skills and advanced Excel.
Experience with a major ERP system (e.g. SAP, Oracle or 1C), invoice management systems (e.g. SAP Concur, Coupa or Emburse) and a BI tool (Power BI or Tableau).
Clear communicator, confident presenting to senior management.
Highly organized, with strong attention to detail.
Nice-to-have
ACCA, CIMA or CPA (completed or in progress).
Experience in financial services companies (e.g. investment firms, asset managers, banking, payments or fintech).
Experience with 1C and SAP Concur specifically.
Knowledge of ABC/ABM or driver-based budgeting.
Knowledge of IFRS.
Experience setting up budgeting processes from scratch.
Benefits
Work in a modern office in the center of Limassol with an open-minded and professional team;
Relocation package, including reimbursement for flights and accommodation for 1 month;
Visa sponsorship for the employee and their family members;
The company covers 50% of the annual cost of the health plan, which the employee can choose with any insurance company;
Company-provided life insurance;
21 working days of paid vacation;
12 additional days off per year, provided by the company;
Paid sick leave;
Team-building activities, corporate events, football and volleyball clubs, sports events, and challenges.
Location: Pakistan; United Kingdom; Canada; United States; Philippines
About Huzzle
At Huzzle, we connect talented B2B sales professionals with leading companies across the UK, US, Canada, Europe, and Australia. Our clients range from fast-growing startups and digital agencies to tech-driven businesses in industries such as SaaS, MarTech, FinTech, and EdTech. We match top sales talent with full-time, remote opportunities where they work directly as part of client teams, with ongoing support from Huzzle throughout their journey.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for a proactive, detail-oriented Account Manager to oversee a diverse and growing portfolio of clients. In this role, you will focus on strengthening client relationships, improving customer retention, driving product adoption, and building long-term partnerships. This is a dynamic, fast-paced opportunity for a strong communicator who can effectively manage multiple accounts while delivering an exceptional client experience. You will play a key role in the team’s success by understanding client needs, aligning them with our solutions, and ensuring ongoing value and satisfaction.
Key Responsibilities
Manage and strengthen relationships across a high-volume portfolio of client accounts, driving long-term satisfaction and retention.
Serve as the primary point of contact for assigned clients, addressing queries and resolving issues promptly and effectively.
Identify opportunities to expand accounts and drive growth through proactive engagement and strategic recommendations.
Track account health indicators, identify potential churn risks, and implement proactive retention strategies.
Lead the onboarding of new clients, ensuring a smooth transition and helping them realize value from the product or service as quickly as possible.
Work closely with internal product and support teams to communicate client feedback, address concerns, and contribute to product and service improvements.
Keep client interactions, account updates, and pipeline activity accurately documented in the CRM.
Requirements
At least 3 years of experience in Account Management, Customer Success, or a related client-facing role.
Proven ability to manage a large portfolio of clients while maintaining high service standards and strong relationships.
Excellent organizational and time-management skills, with the ability to prioritize competing demands in a fast-paced environment.
Strong communication and interpersonal abilities, with a knack for building trust and rapport with clients.
A demonstrated track record of achieving or exceeding client retention, satisfaction, and account growth targets.
Strong analytical skills, with the ability to interpret data, identify trends, and communicate meaningful insights to stakeholders.
Benefits
💻
Work Remotely:
Collaborate with international teams from wherever you are
🚀
Career Development:
Explore opportunities with leading companies in SaaS, MarTech, and B2B services
🤝
Professional Network:
Connect with a community of talented, high-performing sales professionals
🧭
Continued Support:
Benefit from guidance and support from Huzzle throughout your placement journey
💰
Flexible Compensation:
Explore salary opportunities aligned with your experience, preferences, and career goals
Location: Dubai, United Arab Emirates; Doha, Qatar; Muscat, Oman; Riyadh, Saudi Arabia; Abu Dhabi, United Arab Emirates; Ras Al-Khaimah, United Arab Emirates
Apt Resources is currently recruiting enthusiastic and dedicated individuals for the position of Waiter/Waitress at an upmarket casual dining restaurant. This vibrant establishment is known for its exceptional service, inviting atmosphere, and a menu that showcases innovative dishes made from high-quality ingredients.
As a Waiter/Waitress, you will be responsible for providing a delightful dining experience for our guests. You will greet customers, take their orders, serve food and beverages, and ensure that their needs are met throughout their visit. Your role is critical in creating a warm and welcoming environment, ensuring that every guest leaves with a memorable experience.
Responsibilities
Welcome and greet guests promptly upon arrival
Present menus and provide detailed information about menu items, specials, and recommendations
Take accurate food and drink orders using the restaurant's ordering system
Serve orders promptly and monitor guest satisfaction throughout the meal
Prepare tables by setting up linens, utensils, and glassware
Collaborate with kitchen staff to ensure timely and accurate delivery of meals
Address customer inquiries or concerns with professionalism and positivity
Maintain cleanliness and organization of dining areas
Process payments accurately and efficiently
Upsell menu items and promote special offers when appropriate
Requirements
Proven experience as a Waiter/Waitress in a casual dining environment, preferably in an upmarket setting
Excellent customer service skills and a friendly, approachable demeanor
Strong communication skills and the ability to work well in a team
Knowledge of food and beverage menus and pairing options
Ability to multitask and manage time effectively in a fast-paced environment
Attention to detail and commitment to maintaining high service standards
Availability to work flexible hours, including evenings and weekends
High school diploma or equivalent; relevant training or certifications are a plus
Benefits
The salary is AED 1700 - 2400 + AED 400 Food allowance + AED 250 to 450 (Service charge Avg) +AED 1200 Credit card tips + Cash tips + free Accommodation + Transport + uniforms + Health insurance + air ticket ( once every two years) + Paid leave as per UAE laws
Dubai, United Arab Emirates; Doha, Qatar; Muscat, Oman; Riyadh, Saudi Arabia; Abu Dhabi, United Arab Emirates; Ras Al-Khaimah, United Arab Emirates
Location: Jeddah, Saudi Arabia
Eram Talent, a division of ERAM Group, is seeking a skilled Architect to join our team in the Oil & Energy industry. As an independent Talent Acquisition Consultancy, Eram Talent is dedicated to providing outstanding recruitment solutions that satisfy the needs of our clients. With a global reach and network, we specialize in attracting high-potential professionals with sophisticated skills from various industries, including Oil & Gas, Petroleum, Infrastructure, Energy, Water, Transportation, Science & Technology, and Health Care.
Responsible for designing architectural works in accordance with the project requirements and international standards in projects. Prepare layout and interior designs for new construction projects, alterations, and redevelopments. They use their specialist construction knowledge and high-level drawing skills to design buildings that are functional, safe, and sustainable.
Requirements
Bachelor's degree in Architecture
Minimum of 5 years of relevant professional experience.
Experience in residential projects and high-end finishes
Local market and supply chain
Proficient in AutoCAD and presentation tools.
Strong design, visualization, and detailing skills.
Good understanding of construction methods and materials.
Excellent coordination and communication skills.
Ability to manage multiple tasks and deadlines
Excellent communication skills
A strong imagination and the ability to think and create new ideas and dimensions
Sound analytical skills, accuracy, and attention to detail
Good design and drawing skills
Location: Ta' Xbiex, Malta
Neo Group
is a Malta-based startup offering
B2B
services in Marketing, Tech, Data Analytics, Customer Support, HR, and Compliance. Established in 2024, it is built on over 15 years of veteran experience in the iGaming industry. Despite our startup spirit, our team brings a wealth of expertise gained through years of collaboration with industry leaders. With a
network
of 1,400 talented professionals across 10+ countries, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace.
Role Overview
The VIP Account Manager builds and maintains strong relationships with high-value customers, ensuring exceptional service and personalized support. They proactively engage with VIPs to understand their preferences and deliver tailored experiences that drive satisfaction and loyalty. Collaborating with cross-functional teams, they curate exclusive events, promotions, and rewards. Through data analysis and strategic insight, they enhance engagement and retention across the VIP portfolio.
What We Expect From You:
Build and nurture strong relationships with VIP customers, ensuring exceptional service and support.
Proactively engage with VIP customers to understand their needs, preferences, and goals.
Provide tailored recommendations and personalized offers to VIP customers to maximize their satisfaction and loyalty.
Act as the main point of contact for VIP customers, addressing their inquiries and resolving any issues they may face.
Collaborate with cross-functional teams to deliver VIP experiences, including event invitations, special promotions, and bespoke rewards.
Monitor and analyze VIP customer activity and behavior to identify opportunities for engagement and retention.
Work closely with the VIP team to develop and execute strategies for VIP customer acquisition and retention.
Stay up-to-date with industry trends and best practices in VIP account management.
The duties and responsibilities described in this job description are not a comprehensive list and as such additional tasks may be assigned to the employee from time to time; The scope of the job may also be subject to change as necessitated by business demand.
Requirements
Fluent in both Portuguese and English, both written and spoken
Previous experience in VIP account management or a similar customer-facing role
Strong relationship-building and communication skills
Customer-centric mindset with a passion for delivering exceptional service
Excellent problem-solving and conflict resolution skills
Ability to multitask and work efficiently in a fast-paced environment
Strong analytical skills, with the ability to interpret data and drive insights
Experience in the iGaming or related industry is a plus
Benefits
Join us on an exciting journey to shape and revolutionize a new brand in the market
Get ready to enjoy a comprehensive compensation and benefits package designed to enrich your work-life balance and well-being. This package includes a competitive salary, health insurance coverage, access to our on-site gym for a healthy lifestyle, complimentary breakfast and lunch to fuel your day, and a range of diverse social events to foster team spirit, belonging and collaboration
Experience an international work environment with a passionate, motivated and professional team
Be a part of our modern office space in Ta’Xbiex, conveniently located close to all amenities and one of Malta's sought-after marinas
Being part of Neo Group means more than just a job. It's about being a part of a vibrant community with over 40 nationalities across 8 global locations. As we embrace a thrilling phase of hyper-growth and scale-up, our success is fueled by the diversity and talent of our team—potentially including you!
Explore Neo Group Further:
For more details about life and careers at Neo Group, visit our
Career Website
connect with us on
Instagram
, and engage with us on
LinkedIn
.
Ready to redefine the future of iGaming with us? Apply today and become a part of something truly spectacular!
Location: Yerevan, Armenia
Sperasoft is seeking a Material Artist to integrate with our art team. You will partner with art and design teams to develop compelling materials. Your role involves creating materials that meet our technical specifications and adapting stock textures, such as from Megascans, to fit our production pipelines.
If you excel at materials creation, delivering production-ready assets, and adhere to strict technical requirements, this is the perfect opportunity for you.
Responsibilities
Develop high-quality benchmark materials utilizing Substance Designer, Substance Painter, ZBrush, or other preferred DCC tools.
Ensure all materials maintain compatibility and interchangeability within the project.
Collaborate closely with Level Artists to create user-friendly and convenient materials for level construction.
Work with the Lead to verify materials are correctly integrated and function as intended with project-specific shaders, including features like tinting and height blends.
Uphold the integrity and uniformity of the material library.
Independently research, evaluate, and implement the latest industry trends and material creation techniques.
Demonstrate the ability to select the most appropriate software for any given task, without a strict focus on Substance Designer.
Be prepared to pivot to simple prop modeling tasks when material creation assignments are not immediately available.
Requirements
Essential Skills & Experience:
Deep and highly proficient knowledge of Substance Designer.
Knowledge of PBR (Physically Based Rendering) material standards.
Experience in creating textures for complex semi-procedural shaders.
Understanding of material blending systems and material optimization for real-time engines.
Proven ability to produce materials in a wide variety of styles and themes, with a good eye for appropriate stylization and detail.
At least one shipped title within the CG industry.
Proficiency with Maya or a similar Digital Content Creation (DCC) tool is a plus.
Soft Skills & Communication:
Autonomy and independence.
Good communication skills.
Intermediate English level or higher
Benefits
Working with an international team of world-class professionals on exciting and challenging projects;
Learning & Development opportunities – mentoring, lectures, participation at industry conferences and events;
Medical Care package;
Sensibly flexible working hours;
Breakfasts, snacks and fruits available during the day, tea and coffee machines;
Additional benefits – care bonus to cover health, educational and safety needs.
Responsibilities Design web and digital experiences from initial concept through final UI and developer handoff. Translate brand concepts and creative direction into engaging and usable digital interfaces.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute.
As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend.
You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment.
This is a pipeline role feeding four areas.
Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap:
Data platform
Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need.
Planning
Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other.
Efficiency
Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number.
Attribution and forecasting
Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO.
Key responsibilities
Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs.
Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale.
Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline.
Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration.
Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable.
Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company.
What you bring
A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor.
Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable.
Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations
Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on.
Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction.
Preferred qualifications
Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here.
Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads.
Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements.
Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers.
Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level.
Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed.
Storage efficiency, retention, and lifecycle program experience at exabyte scale.
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
—
$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: Dubai; London, England, United Kingdom
Workplace: hybrid
We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.
We are looking for a
Senior Product Owner
to build how Capital.com detects and prevents fraud and money laundering as we expand into new financial products and markets.
You will own the roadmap for fraud prevention and transaction monitoring. That covers the rules, models and systems that flag risky activity, and the tools teams use to review it. You’ll use AI to clear routine alerts automatically, so people can focus on the cases that need a person. You’ll work closely with Compliance, Operations, Data, Engineering and the Financial Investigation Unit. Because this is a new capability, you’ll shape it from the ground up and, over time, build the team that runs it.
Responsibilities:
Own and prioritize the product roadmap for fraud prevention and transaction monitoring within the agreed financial crime strategy.
Translate fraud threats, money-laundering risk scenarios and control requirements into clear product requirements, detection logic and acceptance criteria.
Lead the development of rules, models and preventive controls with Engineering, Data, Operations and Compliance. Apply AI and machine learning where they demonstrably improve detection, prevention and case handling.
Establish reliable, timely data inputs for detection. Identify gaps in data quality, availability or coverage and prioritise their resolution.
Evaluate proposed controls using historical data and realistic test scenarios. Assess detection coverage, missed activity, false positives and the impact on legitimate customers.
Deliver changes through the agreed approval process, with clear testing, staged rollout, monitoring and rollback plans.
Measure performance after release, including fraud losses, detection effectiveness and customer friction. Use the findings to improve controls without treating fewer alerts as proof of success.
Adapt fraud prevention and transaction monitoring capabilities to emerging threats, new products, markets and transaction types. Make readiness requirements and unresolved coverage gaps visible before launch.
Coordinate delivery across product teams and control owners, making priorities, dependencies and trade-offs clear and escalating decisions that require accountable leadership.
Requirements:
5+ years in product ownership or product management, including end-to-end ownership of a product roadmap at a senior level.
Strong financial crime experience covering both fraud and money laundering, gained in fintech, banking, payments or another regulated business.
Hands-on experience building detection capabilities such as rules, models or transaction monitoring systems.
Experience using AI or automation to reduce manual alert review, for example automated customer outreach, while keeping people on complex cases.
Strong data skills: you understand where data comes from and how reliable it is, and you can evaluate detection using historical data, coverage and false-positive analysis.
Experience releasing changes to live controls safely, with testing, staged rollout, monitoring and rollback.
Excellent stakeholder management, including working with Compliance and control owners through approval processes.
Experience building or growing a product team is desirable.
What you will get in return:
Competitive Salary:
We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated.
Work-Life Harmony:
Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid
Generous Time Off:
Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
Employee Referral Program:
Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
Comprehensive Health & Pension Benefits:
From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
Workation Wonderland:
Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
Volunteer Days:
Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.
Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.
Location: Dubai; London, England, United Kingdom
Workplace: hybrid
We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.
We are looking for a
Senior Product Owner
to build the products behind our new Financial Investigation Unit as we expand into new financial products and markets.
You will own the roadmap for investigation case management and customer offboarding. You’ll use AI to give investigators a complete picture of each case faster, and turn approved decisions into workflows that run reliably. You’ll work closely with investigators, Compliance, Operations and Engineering. Because this is a new capability, you’ll shape it from the ground up and, over time, build the team that runs it.
Responsibilities:
Own and prioritise the product roadmap for financial investigation case management and customer offboarding, focusing on investigation quality, timely decisions and reliable execution.
Translate investigator needs into clear product requirements and acceptance criteria. Design workflows that make case ownership, status, next actions and escalation routes clear.
Lead the development of AI and automation to assemble evidence, support analysis and reduce manual investigation work. Ensure outputs are traceable and subject to appropriate human review and approval.
Bring relevant information together across systems, with clear sources and appropriate access controls. Enable complete, auditable case records that preserve evidence and reasoning through reviews and handovers.
Translate approved offboarding procedures into reliable workflows with operational and control owners. Define approvals, dependencies, sequencing and exception handling, with clear confirmation that required actions have been completed.
Deliver changes with Engineering through testing, staged rollout and monitoring. Test interrupted processes, duplicate requests and unavailable dependencies, with recovery routes and records of completed and outstanding actions.
Measure investigation quality, case rework, avoidable delays and offboarding failures alongside user feedback. Use the findings to improve performance without treating faster case closure as proof of quality.
Prepare Operations and Compliance for product changes, support adoption and resolve issues after launch. Feed quality reviews, audit findings and recurring operational problems into the roadmap.
Requirements:
5+ years in product ownership or product management, including end-to-end ownership of a product roadmap at a senior level.
Strong financial crime experience across investigations, AML, fraud or customer offboarding, gained in fintech, banking or another regulated business.
A track record of building workflow or case-management products for operational users.
Experience shipping AI or automation that cut manual work while keeping people in charge of key decisions.
Ability to write precise requirements and work closely with engineers on complex, failure-tolerant workflows.
Strong analytical skills, with experience defining metrics and using data to set priorities.
Excellent stakeholder management, including working with Compliance and control owners on regulatory requirements.
Experience building or growing a product team is desirable.
What you will get in return:
Competitive Salary:
We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated.
Work-Life Harmony:
Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid
Generous Time Off:
Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
Employee Referral Program:
Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
Comprehensive Health & Pension Benefits:
From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
Workation Wonderland:
Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
Volunteer Days:
Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.
Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.
Role Overview
The Strategic WFM Analyst sits in the Core Workforce Management (WFM) Planning & Operations Strategy team and is responsible for owning centralized forecasting, capacity planning, workforce cost optimization, and strategic headcount trade-offs across all lines of business (LOBs).
This role is a high-judgment governance function that moves beyond traditional scheduling and intraday monitoring.
It translates complex demand forecasts into defensible FTE, BPO, and overtime spend strategies, models capacity risks, and aligns executive stakeholders across Finance, Product, and Operations.
You should be exceptionally strong in WFM maths and financial analytics, exhibit deep strategic curiosity, navigate messy raw data effortlessly, and communicate recommendations with executive-level clarity.
What You'll Do:
— Translate multi-LOB demand forecasts into monthly and quarterly capacity, headcount, and budget requirements.
— Model workforce and financial trade-offs across internal FTEs, BPO partners, overtime spend, bonus hours, productivity shifts, and shrinkage.
— Analyze demand-funnel changes (e.g., product feature rollouts, AI bot deflection shifts) and quantify their exact capacity and dollar impact.
— Partner directly with Finance, Product, and Operations to validate baseline assumptions, enforce input SLAs, and align on staffing commitments.
— Draft concise, decision-ready executive memos and Weekly Business Reviews (WBRs) for Directors and leadership.
— Conduct deep-dive root-cause analyses whenever operational actuals deviate from capacity plans, and establish corrective action paths.
— Standardize capacity planning frameworks, modeling templates, and operating standards across LOBs.
— Maintain deep forecasting competency to audit models, challenge underlying assumptions, and provide seamless coverage across the broader central WFM engine.
What We're Looking For:
— Strategic WFM Maths: Exceptionally strong quantitative background with deep expertise in WFM fundamentals (capacity modelling, Erlang, shrinkage, AHT, SLA/ASA trade-offs) and advanced proficiency in Google Sheets, SQL, or Python.
— Business & Financial Judgement: Demonstrated ability to connect operational queue dynamics directly to dollar exposure, hiring velocity, BPO costs, and SLA risk.
— Executive Communication: Superior strategic writing skills with a natural instinct to distil complex, multi-variable workforce analytics into scannable, 1-2 page decision memos.
— Cross-Functional Influence: Proven ability to establish governance frameworks, challenge bad assumptions with back-tested data, and align Finance, Product, and Operations leadership without formal authority.
— Blank-Page Ownership: High comfort operating in ambiguous environments with incomplete data, isolating what materially matters without requiring step-by-step direction.
WFM Analyst Profile:
Strong core WFM domain expertise with a strategic/Ops spike.
This is not a generalist role and not a passive, traditional scheduler role.
Hiring Process:
Application
Diagnostic Case Study
Case Study Interview - Technical & Capacity
Executive Judgement & Strategic Interview
Culture Interview (People Ops)
Offer
This leader owns customer enablement across Alloy. It is a role that builds and runs the program behind enablement: capturing knowledge continuously, packaging it for the right audience at the right moment, running hands-on customer training sessions, and measuring what works.
Location: Austin, TX
Workplace: Hybrid
1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.
About 1Password
At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.
If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.
As Senior Manager, Business Development, you’ll lead a North American Business Development Representative (BDR) team within Sales, balancing inbound lead qualification with proactive outbound prospecting. You’ll coach individual contributors, strengthen pipeline-generation practices, and help build a scalable talent engine that supports 1Password’s mission. Reporting to the Director, Business Development, this role is based onsite in Austin, Texas, with occasional travel.
How we’re using AI today
Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here.
Expectations of this role
This is a hybrid role. You will be expected to work from 1Password's Austin office 3 days per week, with the flexibility to work from the office up to 5 days based on business needs.
Note: All go-to market roles will have an in-person onboarding in Toronto.
What we're looking for:
• Significant experience in business development or sales, including at least two years managing Business Development Representative (BDR) or Sales Development Representative (SDR) teams and delivering measurable performance and talent-development outcomes.
• A track record of leading both inbound and outbound motions, with particular strength in designing and improving outbound campaigns, pipeline generation, lead qualification, and forecasting.
• Experience coaching teams through ambiguity, adapting priorities as needs change, and contributing directly to team performance when hands-on support is needed.
• Strong communication and collaboration skills, with the ability to build trust, provide clear feedback, and work effectively with Sales, Marketing, Operations, Enablement, and Channel partners.
• Working proficiency with Salesforce, Outreach, and LinkedIn Sales Navigator, along with the ability to evaluate Artificial Intelligence (AI)-enabled tools and workflows thoughtfully.
• A practical, team-first leadership approach that prioritizes shared outcomes, collaboration, and accountability.
What you can expect:
• Lead, coach, and develop BDRs across inbound and outbound activities, helping the team consistently build qualified pipeline.
• Inspect activity, conversion, pipeline, and forecast signals to identify opportunities, remove barriers, and improve performance.
• Design and scale outbound campaigns while improving lead routing, outreach, follow-up, qualification, and handoff processes.
• Build a strong talent pipeline by identifying development opportunities and preparing BDRs for future roles across Sales.
• Serve as a senior, visible leader in the Austin office by encouraging collaboration, supporting team connection, and helping address shared office needs.
• Partner with Sales, Marketing, Operations, Enablement, and Channel teams to improve messaging, processes, and Ideal Customer Profile (ICP) insights.
• Use sales technology and AI-enabled workflows to improve productivity, strengthen decision-making, and help the team adapt as the business evolves.
USA-based roles only: The annual base salary for this role is between $121,000 USD and $175,000 USD, and is commission-eligible. This role is also eligible for immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.
This posting is for an existing vacancy.
Our culture
At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first.
You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.
How we work with AI
We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.
This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others.
Our approach to work
We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement.
For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average.
Note: All go-to market roles will have an in-person onboarding in Toronto.
What we offer
We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:
Health and wellbeing
👶 Maternity and parental leave top-up programs
🩺 Competitive health benefits
🏝 Generous PTO policy
Growth and future
📈 RSU program for most employees
💸 Retirement matching program
🔑 Free 1Password account
Community
🤝 Paid volunteer days
🏆 Peer-to-peer recognition through Bonusly
🌎 Remote-first work environment
*Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting.
You belong here.
1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.
Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.
Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.
Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.
1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.
Seattle, WA
New York City, NY
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