Location: Spain; United Kingdom; Colombia; Germany; Austria; Portugal
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech.
Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for an ambitious, German-speaking Sales Development Representative to revolutionize how traditional industries—like manufacturing and logistics—approach sales. In this role, you will be the engine of the growth team, leveraging an AI-powered sales assistant platform to help B2B SMEs digitize their field sales efforts. You will play a critical role in expanding the footprint across the DACH region, turning cold prospects into high-value partnerships within a rapidly scaling tech environment.
Key Responsibilities
Pipeline Generation:
Own the top-of-funnel outbound strategy, aiming to book 20–40 qualified meetings per month with decision-makers at trade-fair-intensive industrial SMEs.
Multi-Channel Outreach:
Execute high-volume outreach including cold calling, personalized LinkedIn engagement, and managing Lemlist email sequences.
Lead Qualification:
Qualify inbound leads from major industry trade shows (e.g., AMB, EuroBLECH) and outbound prospects using BANT criteria to ensure high-quality handoffs.
CRM Excellence:
Maintain impeccable data integrity within HubSpot, ensuring every touchpoint, lead status, and context note is accurately logged.
Strategic Iteration:
Partner with the GTM team to test and refine messaging, positioning, and objection handling based on real-time market feedback.
Strategic Research:
Personalize outreach based on specific company signals, such as recent hires, tech stack, or trade show attendance, rather than relying on generic templates.
Requirements
Language Mastery: Native or professional fluency in both German and English (written and verbal).
Sales Experience: Proven track record in B2B SaaS sales, specifically selling to SMEs in traditional sectors like manufacturing, logistics, or construction.
Location & Availability: Must be based in the CEE region and able to provide consistent overlap with the Berlin timezone (08:30–15:00).
Persistence: High energy and resilience for daily cold calling and objection handling.
Tech Literacy: Ability to quickly adopt and utilize AI-powered sales tools and CRM workflow
Nice-to-Haves
Industry Expertise:
Prior experience within Manufacturing, Electronics, Logistics, or Supply Chain sectors
Tool Stack Mastery:
Familiarity with HubSpot, Apollo.io, Lemlist, Slack, and Claude
Sales Craft:
Advanced skills in outbound messaging, cold emailing, and full-cycle sales strategies
Benefits
💰 Competitive base salary with a clear commission structure
🚀 Work with high-growth international companies
📈 Clear career progression to Account Executive and beyond
🎯 Performance-based bonuses and incentives
🤝 Direct hire with global clients (not outsourced)
🧠 Ongoing training, mentorship, and sales development support
УдалённоSpain; United Kingdom; Colombia; Germany; Austria; Portugal; Location & Availability: Must be based in the CEE region and able to provide consistent overlap with the Berlin timezone (08:30–15:00)
Location: South Africa
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 sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle.
Job Type:
Full-time
About the company
Our client is a high-performing growth marketing agency helping SaaS, AI, subscription-based, and consumer technology companies scale customer acquisition and revenue.
With a track record of generating
over $200 million in attributable client revenue
and managing
more than $100 million in advertising spend
, the agency combines paid media, creative strategy, conversion rate optimization (CRO), and AI-powered marketing to deliver measurable growth.
Working with ambitious US-based brands, the agency takes a full-funnel approach to performance marketing, focusing on sustainable growth rather than just advertising metrics.
Job Summary
We're looking for an experienced, hands-on Director of Growth – Performance Marketing to lead growth strategy, campaign performance, and client relationships across multiple US-based accounts.
You'll oversee Google Ads and Meta Ads performance, drive full-funnel experimentation, manage marketing specialists, and work closely with the founder on client strategy and new business opportunities.
This role is ideal for a strategic growth leader with strong agency experience who can confidently manage senior client stakeholders, solve complex marketing challenges, and independently drive measurable results.
Key Responsibilities
Growth Strategy & Performance
Own client growth strategies across Google Ads, Meta Ads, landing pages, and conversion funnels.
Optimize key metrics including CAC, ROAS, SQLs, pipeline generation, and trial-to-paid conversions.
Launch and track 2–4 structured growth experiments per client monthly.
Identify performance issues, diagnose root causes, and proactively implement improvements.
Develop actionable growth roadmaps and performance recommendations.
Client Management & Leadership
Serve as the primary strategic contact for US-based founders, CMOs, and marketing teams.
Lead client strategy calls, communicate insights, and maintain strong client retention.
Coordinate media buyers, designers, and marketing specialists to ensure quality execution.
Manage campaign delivery, creative briefs, timelines, and quality assurance independently.
Provide the founder with concise updates on account performance and priorities.
New Business & Operations
Audit prospective clients' advertising accounts, analytics, and conversion funnels.
Build compelling 90-day growth roadmaps to support sales pitches.
Lead new client onboarding within the first two weeks.
Improve reporting, campaign workflows, and internal processes.
Leverage AI tools and automation to streamline research, reporting, creative ideation, and analysis.
Requirements
Must-Have Qualifications
Proven experience in a senior growth marketing or performance marketing leadership role.
Previous experience at a performance marketing or growth agency managing multiple US-based clients.
Advanced hands-on expertise in Google Ads and Meta Ads, including campaign optimization and performance analysis.
Strong understanding of full-funnel growth strategy, CAC, ROAS, conversion optimization, and lead generation.
Experience auditing prospect accounts, building 90-day growth roadmaps, and supporting sales pitches.
Proven ability to independently manage client relationships and communicate with founders and CMOs.
Experience leading or coordinating media buyers, designers, and marketing specialists.
Practical experience using ChatGPT, Claude, and AI-assisted workflows for marketing operations.
Excellent English communication skills, both written and verbal.
Strong analytical, problem-solving, and project management skills.
Availability to work during the required US Eastern Time overlap.
Nice-to-Have Qualifications
Experience with SaaS, AI/ML, e-commerce, retail, consumer goods, or entertainment and media clients.
Knowledge of GA4, CRM integrations, attribution, and conversion tracking.
Experience with landing page CRO, creative testing, and lifecycle marketing.
Familiarity with marketing automation and agency operational processes.
Benefits
🌎
Fully Remote:
Work remotely with a high-performing, US-focused growth marketing agency.
🚀
Leadership Opportunity:
Own growth strategy, client relationships, and campaign performance.
📈
Career Growth:
Play a key role in shaping the agency's continued expansion.
🎯
High-Impact Work:
Drive measurable growth for ambitious SaaS, AI, and technology companies.
🤝
Direct Client Placement:
Join the company as an integrated member of its team.
🧠
Modern Marketing Environment:
Work with advanced AI tools, automation, and data-driven growth strategies.
💼
Founder Collaboration:
Partner directly with agency leadership on strategic initiatives and business growth.
Location: Argentina; Colombia; Peru; Mexico; Ecuador
Join Our Team as a Local Support Specialist at RateHawk!
Are you passionate about travel and tech? Do you speak English and Spanish fluently? If so, we’d love to have you join our fast-growing international travel-tech company! At RateHawk, we pride ourselves on having a fantastic team, a vibrant culture, and plenty of opportunities for growth.
Requirements
What You'll Do:
Help Our Partners:
Take calls, provide initial advice and provide regular updates on ongoing cases to our B2B partners in Spanish and English.
Be Transparent & Customer-Centric:
Ensure clear, honest communication that reflects our commitment to outstanding partner satisfaction.
Handle Tickets & Escalations:
Manage incoming tickets, follow up on escalations, and proactively work on resolution and prevention.
Manage Bookings:
Handle booking modifications and relocations with attention to detail and urgency.
Team Collaboration:
Actively support and coordinate with other departments to ensure smooth workflows and excellent service delivery.
Manage Expectations:
Balance the needs and expectations of both partners and account managers to deliver satisfying outcomes.
Record Details:
Accurately document all work and partner interactions in our CRM system.
What We're Looking For:
Language Skills:
Advanced level of Spanish and English – you’ll need to speak and write fluently.
Industry Experience:
Experience in travel, concierge agencies, TMCs, DMCs, or tour operators is a big plus!
Proactive Mindset:
You don’t just solve problems – you prevent them. You anticipate partner needs and take initiative.
Cool Under Pressure:
Able to handle multiple tasks, stressful situations, and urgent issues with professionalism and calm.
Empathetic Communicator:
You understand and empathize with customer concerns while working toward the best solution.
Quick Learner:
Fast at picking up new tools, systems, and processes with a result-oriented mindset.
Benefits
What We Offer:
Remote Work:
Work from the comfort of your home!
Salary:
base payment + monthly bonus.
Dynamic Team:
Be part of a young and energetic group of specialists.
Growth Opportunities:
Tackle interesting and ambitious tasks that will elevate your professional skills.
Learning & Development:
We support your growth through seminars, trainings, and conferences.
Perks:
Take advantage of corporate discounts on hotels and other services.
The Process:
Application:
we will review your CV once you apply!
Meeting with HR:
A friendly chat with our HR team.
One minute Internet Speed Test:
Just to make sure you’re all set for remote work.
Meeting with Hiring Manager:
Another friendly chat.
Interview results and offer!
If this sounds like the perfect fit for you, we’d love to hear from you! Apply now and let’s create amazing travel experiences together!
Learn more about our data protection practices in our Privacy Policy:
https://emergingtravel.notion.site/recruitment-privacy-notice
Location: Mumbai, India
To process and analyze large datasets, prepare reports, and provide meaningful insights to support business decision-making and operational improvements.
Minimum Qualifications
Preferred major: bachelor degree in Management Information Systems (MIS).
Bachelor's degree from a reputable university; distance-learning and online degrees are not accepted.
8 - 10 years of relevant work experience.
Excellent English communication skills.
Key Responsibilities
Process and analyze large datasets using Microsoft Excel and professional PDF tools.
Extract information, interpret results, and provide conclusions to support decision-making.
Prepare reports and presentations using Microsoft Office applications.
Collaborate effectively with stakeholders and cross-functional teams.
Support reporting and data analysis activities, preferably within Learning & Development.
Required Skills
Advanced proficiency in Microsoft Excel, PowerPoint, and professional PDF tools.
Strong analytical, problem-solving, and communication skills.
Excellent teamwork, attention to detail, and reporting capabilities.
Preferred Certifications
HR-related certification.
Project Management Professional (PMP).
Location: Remote-Friendly, United States
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 building AI systems that will shape the trajectory of one of the most consequential technologies in human history. That work requires physical infrastructure at significant scale, and building that infrastructure the right way means being a real, long-term partner to the communities where we operate.
We are looking for a Community Engagement Manager in Indiana and Kentucky to join our Public Policy team and serve as Anthropic's on-the-ground presence in the communities where our data centers are sited, built, and operated. This is not a communications role or a government affairs role, though you will do elements of both. It is a relationship role: your job is to make Anthropic a trusted, visible, and valued neighbor, from the earliest stages of site selection through construction and long-term operations.
You will be the connective tissue between Anthropic's Policy and Infrastructure teams and the local officials, community organizations, economic development partners, and residents who have a stake in what we build. You will surface concerns before they escalate, translate our technical and operational plans into clear local benefits, and build the coalitions that allow us to move quickly and responsibly. Because Anthropic's infrastructure footprint is still early in its growth, you will also help write the playbook: the processes you build in your first markets are the ones we will use as we expand.
You will travel regularly within Indiana and Kentucky, up to 50% of the time, and occasionally to other Anthropic data center markets.
Key responsibilities
Build and maintain trusted, sustained relationships with county commissioners and councils, Kentucky fiscal courts and judge-executives, mayors and city councils, plan commissions and zoning boards, state and regional economic development organizations, community groups, civic leaders, educational institutions, and workforce partners in the Indiana and Kentucky data center markets you cover
Develop and execute a community engagement strategy for each of your markets, spanning site selection, pre-development, construction, and ongoing operations
Build external coalitions, host education and listening sessions, and design local solutions that deliver real benefits to the communities where we operate
Represent Anthropic in public forums, town halls, planning hearings, community events, and local media
Monitor community sentiment and local political dynamics, and advise internal teams on risks, opportunities, and the right pace and posture for engagement
Partner with the Real Estate and Infrastructure team to bring community input into how projects are planned, communicated, and delivered, not just how they are announced
Work with the Communications team to develop proactive, locally relevant messaging
Coordinate charitable giving, community investment, and economic development commitments in your markets, including managing nonprofit partner relationships
Partner with the Energy and Sustainability team to explain our approach to environmental stewardship and respond to questions about power, water, and land use, including how large electricity needs are served by local utilities and rural electric cooperatives
Build a community engagement playbook and repeatable processes that scale as Anthropic's infrastructure footprint grows
Minimum qualifications
Experience in community affairs, public affairs, economic development, government relations, local or state government, or a closely related field
Direct experience working for or engaging with county and municipal governments and a broad set of community stakeholders on behalf of large infrastructure, construction, energy, or technology projects, with a working understanding of how local politics and community dynamics actually play out
A skilled relationship and coalition builder who earns trust with a diverse group of stakeholders, and who maintains relationships through difficult conversations
The ability to represent a company credibly in public settings, including town halls, hearings, and press interviews
Strong written and verbal communication skills, including the ability to turn a complex operational plan into plain language that a local official or reporter can understand and respond to
The ability to work independently, get up to speed quickly on complex policy issues, and manage multiple concurrent engagements across different markets without losing track of any of them
Based in Indiana or Kentucky or willing to relocate to one of them, and prepared to travel regularly across both states
Preferred qualifications
7+ years of experience in community engagement specifically on data center, utility, energy, or large-scale industrial infrastructure projects, or in local government
Familiarity with land use, zoning, and permitting processes at the county and municipal level in Indiana and/or Kentucky, including local tax abatement and incentive approvals
Experience managing corporate social responsibility programs
Established relationships with economic development, workforce, or civic organizations in the markets this role covers
Experience working with real estate, legal, communications, and policy teams at the same time
A genuine interest in the communities where you work, not just the projects you are managing
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$265,000
—
$295,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
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.
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
Location: Tokyo, Japan
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
In this role, you'll lead a team of Account Executives driving the adoption of safe, frontier AI with top enterprises across Japan. This role is critical to Anthropic's Japan expansion.
You'll leverage your leadership expertise to propel revenue growth while developing a high-performing team. Working closely with Applied AI Engineering, Product, GTM, and Marketing teams, you'll help enterprise customers deploy AI solutions and refine our market positioning for Japan.
The ideal candidate will have a deep understanding of Japanese business culture, a passion for developing people, and the ability to navigate Japan's consensus-driven sales environment.
Responsibilities:
Build and lead a high-performing team of Account Executives, providing coaching, mentorship, and guidance to drive team success
Develop and implement sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed team revenue quotas
Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems
Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness, with focus on Japanese enterprise buying cycles and decision-making processes
Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales
Enable your team to have credible technical conversations about AI applications while maintaining appropriate guardrails
Build strong partnerships across the organization to drive strategic initiatives
Identify and execute on new market opportunities and use cases for Anthropic's AI solutions across enterprise segments
Help your team navigate complex enterprise stakeholder ecosystems including executives, IT departments, and procurement offices to build consensus
You may be a good fit if you have:
10 years of enterprise sales experience, preferably driving adoption of SaaS or emerging technologies
3+ years of sales leadership experience within the Enterprise segment
Proven track record of building and leading high-performing sales teams selling into large enterprises, with demonstrated success in coaching and developing AEs
Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations
Strong technical acumen with ability to enable credible AI conversations
Track record of successful partnership with technical teams throughout the customer journey
Deep understanding of enterprise buying cycles, procurement frameworks, and common pain points across industries
Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives
Experience managing complex enterprise sales cycles and helping AEs secure strategic deals
Excellent communication skills and ability to build relationships across all levels, from individual contributors to C-suite executives
Strategic approach to market analysis combined with tactical excellence in execution
Passion for AI technology and commitment to its safe, responsible development
Business-level Japanese required; English proficiency strongly preferred
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, United Arab Emirates; London, United Kingdom; Paris, France; Rome, Italy; Russia
AHS, is seeking a highly professional, discreet, and experienced
Close Protection Officer / Travelling Security
to provide personal security and protection for a high-profile principal during daily activities, private engagements, and international travel.
The successful candidate will be responsible for maintaining a secure environment, conducting proactive risk assessments, coordinating travel security arrangements, and ensuring the principal's safety, privacy, and comfort at all times. This role requires exceptional situational awareness, sound judgement, flexibility, and the ability to operate discreetly within a private, high-net-worth environment.
Responsibilities
Provide close protection and personal security for the principal during daily activities, private engagements, and international travel.
Conduct advance security assessments of destinations, venues, residences, hotels, and travel routes.
Plan and coordinate secure movements, transportation, and travel logistics.
Identify potential security threats and implement appropriate preventive measures.
Maintain continuous situational awareness and respond effectively to security incidents or emergencies.
Coordinate with local security teams, venue personnel, drivers, and relevant authorities when required.
Protect the principal's privacy and maintain strict confidentiality regarding personal, professional, and travel-related information.
Monitor changing security conditions and adapt protection arrangements accordingly.
Maintain professional conduct, readiness, and flexibility in line with the principal's schedule and operational requirements.
Prepare security briefings, incident reports, and relevant risk assessments as required.
Requirements
Proven experience in close protection, executive protection, travelling security, or a comparable personal security role.
Experience protecting high-net-worth individuals, senior executives, VIPs, or private principals is highly desirable.
Relevant close protection or security training and certifications.
Strong knowledge of threat assessment, advance planning, secure movement, and emergency response procedures.
Experience accompanying principals on international travel and operating in different security environments.
Excellent situational awareness, discretion, communication, and decision-making skills.
Physically fit, professionally presented, and capable of maintaining a high level of readiness.
Flexible and available to accommodate international travel and changing operational schedules.
High level of integrity, confidentiality, emotional control, and professionalism.
Valid driving licence and strong driving skills are an advantage.
First aid and emergency medical response training are preferred.
This position requires the highest standards of discretion and confidentiality when handling all matters relating to the principal, their family, residences, movements, and private affairs.
Personal Attributes
Discreet, trustworthy, and security-conscious.
Calm and composed under pressure.
Proactive, observant, and detail-oriented.
Adaptable to demanding schedules and international environments.
Able to work independently while coordinating effectively with the principal's wider support team.
Benefits
Why Join AHS?
Innovative Environment
: Be part of a forward-thinking company that embraces innovation and creativity in the luxury real estate market.
Career Advancement
: Enjoy opportunities for professional growth and development, with a clear path for career progression.
Exclusive Properties
: Work with a portfolio of some of the most prestigious and exclusive properties in the market.
Collaborative Culture
: Join a team-oriented environment where collaboration and mutual support are highly valued.
Client-Centric Approach
: Be part of a company that prioritizes exceptional customer service and client satisfaction.
Competitive Compensation
: Receive a competitive salary and benefits package that rewards your hard work and dedication.
Global Network
: Leverage a robust network of industry contacts and high-net-worth clients.
Cutting-Edge Technology
: Utilize the latest sales management software and CRM systems to enhance your efficiency and effectiveness.
Recognition and Rewards
: Benefit from a culture that recognizes and rewards outstanding performance and achievements.
Work-Life Balance
: Enjoy a supportive work environment that values work-life balance and employee well-being.
Please Note:
Due to the high volume of applications we receive, only shortlisted candidates will be contacted. We appreciate your understanding.
Location: Indianapolis, United States; Ohio City, United States; Chicago, United States
About us:
Shape the Future with AI, Ignite Your Potential
Xenon7 is an inferno where skill, dedication and passion run together.
About our client:
Global healthcare leader headquartered in Indianapolis, Indiana. The Cardiometabolic Research (CMR) Therapeutic Area of our client, focuses on the discovery of biologic, small molecule and genetic therapeutics for the treatment of cardiometabolic diseases and associated complications.
The Cloud and Connectivity organization is seeking an engineer in HPC platforms. This role will focus on enabling analytical, statistical, and scientific computing capabilities within high performance computing infrastructure. We are looking for an HPC Platform Engineer to help accelerate the next era of high performance computing innovation.
What You’ll Be Doing
You will be a leader the engineering and operations of design, build, and maintain scalable HPC platforms.
You will play a crucial role in enabling HPC infrastructure and experiences.
Collaborate with researchers and scientists to optimize performance and streamline workflows.
Leverage tooling and automation for orchestration, resource scheduling, data access, and reproducibility.
Evolve and operate public cloud and on-premises environments with a focus on availability and performance for HPC workloads.
Define and monitor infrastructure metrics, resource utilization, among others.
How You’ll Succeed
Be Bold
- You will bring a high learning agility and platform engineering skills to enable the Technology strategy, identifying opportunities to accelerate our HPC journey.
Be Fast
- You will advance initiatives to enable critical business projects.
Be Proactive
- You will have opportunities to leverage agile ways of working with a willingness to become an expert in deploying HPC solutions.
Be Your Best
- You will learn about new technologies in HPC.
Requirements
What You Should Bring
Hands-on experience in HPC platforms, including knowledge of accelerators (e.g., GPU), HPC schedulers (e.g., Altair Grid Engine, Slurm), Kubernetes platforms, and containers technologies (Docker, Apptainer).
Demonstrated experience in HPC workloads, infrastructure, and cluster architectures.
Expertise with the Linux command line, Linux troubleshooting, and HPC administration.
Experience with DevOps tools such as Github, Chef, Ansible, Terraform.
Experience with automating infrastructure and applications.
Passion for continual learning and staying informed of new technologies, infrastructure trends, and approaches in the HPC field.
Strong programming and scripting skills in languages such as Python or Bash.
Basic Requirements
Bachelor’s degree in computer science, Information Technology, or related technical field.
5+ years’ experience HPC Platform Engineer.
Demonstrated experience leading a global large-scale infrastructure project.
Benefits
Attractive, market-leading salary package.
Clear career advancement path with professional development opportunities.
Location: Dhahran, Saudi Arabia; Riyadh, Saudi Arabia; Lusail, Qatar; Dubai, United Arab Emirates
We are seeking an experienced Lead Digital Solutions Analyst to support advanced AI technology initiatives and contribute to the development of next-generation AI solutions. The successful candidate will work on AI modules, scalable data pipelines, backend infrastructure, and real-time data processing systems, supporting the development of Large Language Models (LLMs), Large Time-Series Models, and Large Vision Models.
Key Responsibilities
Develop and implement AI modules, pipelines, solutions, and services for advanced AI technologies.
Design and develop scalable backend infrastructure to support real-time data ingestion, AI model inference, and user access.
Build real-time data processing components using event-driven architecture.
Apply microservices and agentic AI architectures to support scalability and flexible system development.
Develop data pipelines for data preprocessing, normalization, labelling, transformation, feature engineering, and storage.
Support research and development initiatives for sovereign AI technologies, including Large Language Models, Large Time-Series Models, and Large Vision Models.
Collaborate with cross-functional teams to develop, integrate, and optimize AI-driven solutions.
Requirements
Bachelor's degree in Graphic Design or an equivalent qualification, as specified for the position.
Minimum 10 years of relevant professional experience in graphic design, data science, AI technologies, or a related field.
Experience in AI solution development, data pipelines, or AI technology implementation.
Knowledge of backend infrastructure, real-time data processing, and event-driven architectures.
Familiarity with microservices, agentic AI architectures, and scalable AI applications.
Understanding of data preprocessing, transformation, feature engineering, and data storage.
Exposure to Large Language Models, time-series models, or computer vision technologies is an advantage.
Strong analytical, problem-solving, and collaboration skills.
leadDhahran, Saudi Arabia; Riyadh, Saudi Arabia; Lusail, Qatar; Dubai, United Arab Emirates
🔎 Maqsad: Maqsad tajribamdan kelib chiqib real loyihalada ishlash, undagi muammolar, fintech hamda microservice loyihalarni qurish hamda bazi texnalogiyalarni qo'llashni o'rgataman. desing pattern larni real loyihalarda qo'llashni organamiz.
Who We Are:
At Yuno, we build payment infrastructure enabling companies to participate in the global market. Founded by experts from payments and tech industries, our technology provides access to leading payment capabilities, allowing companies to engage customers confidently and maintain global operations through seamless integrations. We empower teams at brands like InDrive, McDonald's, Rappi, and Viva Aerobus to integrate over 1,000 payment methods via a single API. Using advanced AI and latest technologies, we orchestrate smart routing and fraud prevention across 80+ countries.
About The Role:
We seek a Technical Account Manager to own and elevate Yuno's technical customer relationships across Latin America. This leadership role requires deep technical expertise, team inspiration, customer trust-building, and driving impactful outcomes. You will be the senior technical voice for strategic accounts in the region and set standards for technical partnership at Yuno. Daily, you will lead a team of TAMs while addressing complex customer challenges. LATAM is a fast-growing payment ecosystem with unique local nuances and high-stakes integrations, rewarding precision and resilience under pressure. This role is central to Yuno's cross-functional engine, collaborating closely with Product, Development, Sales, and Partnerships teams to translate customer insights into improvements and ensure internal teams have necessary context. You will define best practices, scale the TAM function, and ensure quality and reliability in integrations.
Your contribution will be:
— Serve as senior technical contact for strategic accounts, managing escalations and resolving complex integration challenges
— Lead high-level discussions with customer leadership on technical strategy, product trade-offs, incident management, and risk mitigation
— Define and implement best practices for technical onboarding, integration delivery, and account health monitoring
— Build deep knowledge of customers' business models, technical stacks, and operational needs to unlock value proactively
— Partner with developers and senior engineers to provide strategic technical guidance and support solution design
— Collaborate with Product and Development teams to customize platform capabilities and feed customer insights into the roadmap
— Work cross-functionally with Sales, Partnerships, and Finance to support account retention and regional growth
— Monitor integration progress and ramp-up milestones across the team, ensuring consistent and high-quality delivery
— Champion the LATAM customer base internally, bringing regional intelligence into Yuno's strategic conversations
Skills You Need:
Minimum Qualifications:
— Fluency in English and Portuguese is a plus; Spanish is a plus
— 5+ years experience in technical account management or integration engineering, preferably in fintech or payments
— Proven track record of leading or mentoring technical teams
— Strong understanding of RESTful APIs, SOAP, JSON, XML, and API management tools such as Postman, SoapUI, or Swagger
— Proficiency in web fundamentals: HTML, CSS, JavaScript, RESTful APIs, and modern frameworks
— Hands-on experience in at least one server-side language: Golang, Python, Node.js, or equivalent
— Familiarity with server and database technologies including Apache, Nginx, MySQL, Oracle, PostgreSQL, MongoDB, or similar
— Strong analytical, problem-solving, and project management skills
— Excellent organizational skills managing multiple accounts, team priorities, and concurrent projects
— Clear and compelling communication with technical and non-technical stakeholders at all seniority levels
— Experience with ticketing systems is a plus
What We Offer at Yuno:
— Competitive Compensation
— Remote Work – work from anywhere
— Home Office Bonus – one-time allowance for home office setup
— Work Equipment
— Stock Options
— Health Plan wherever you are
— Flexible Days Off
Own our detection coverage across Defender XDR, Entra ID, Sentinel, Microsoft Graph, Azure, and Microsoft 365 — from raw signal through to shipped, tuned detections. Build and maintain a living map of Microsoft security signal: what exists, known ingestion lag, where it lands, what gates it, how long it's kept, and how far you can trust it.
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.
As a
Manager, Customer Success
, you will lead a North America-based team that helps customers realize value from GitLab through strong adoption, measurable outcomes, and trusted partnership.
You will partner closely with both executive sponsors and day-to-day end users/practitioners to drive adoption and measurable outcomes.
Reporting to the
Director of Customer Success,
, you will coach Customer Success Managers and Customer Success Architects to support account health across onboarding, adoption stages, executive business reviews, and renewals, while also improving how the team works.
This is a people leadership role with broad scope: you will develop talent, strengthen customer relationships, and partner across Sales, Product, Engineering, and other teams so customers are supported through growth, change, and escalation.
What you'll do
Lead
a team of Customer Success Managers and Customer Success Architects focused on customer adoption, account health, customer satisfaction, and advocacy.
Coach
team members through regular feedback, development support, and career growth conversations to strengthen knowledge, communication, and execution.
Partner
with the Director of Customer Success to define team goals, clarify responsibilities, and align priorities with company direction.
Manage
resource assignments, staffing levels, and hiring activity to support team coverage and customer needs.
Develop
senior-level relationships with customers and support the team in building trusted advisor partnerships.
Collaborate
with Sales, Product Management, Engineering, Professional Services, and other internal teams to create a consistent customer experience.
Support
customers during escalations by working with other leaders to coordinate clear, effective responses.
Improve
the processes and tools used by the team and oversee initiatives tied to objectives and key results.
What you'll bring
Experience
leading customer-facing teams in software, technology, consulting, sales, or customer success environments.
Ability
to guide teams that drive software adoption and manage customer relationships across onboarding, adoption, business reviews, and renewals.
Knowledge
of software development lifecycle practices, related tools, and agile or DevOps ways of working.
Familiarity
with cloud or container technologies such as Kubernetes and Docker, application security concepts such as static application security testing (SAST) and dynamic application security testing (DAST), or cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure.
Skill
in translating strategy into clear initiatives, coordinating execution, and tracking delivery across competing priorities.
Capability
to lead distributed teams across regions, cultures, and lines of business, while working effectively with senior executives and external stakeholders.
Willingness
to travel occasionally for customer meetings and team events, as needed.
Strength
in communication, coaching, feedback, delegation, planning, and process improvement.
Warmth and care
in your leadership approach—able to coach with empathy and build trust on a human level.
Interest
in candidates with transferable experience who can connect technical concepts to business value and collaborate well across functions.
About the team
On the
Customer Success
team, we are accountable for customer adoption, measurable outcomes, customer satisfaction, and building customer advocacy across GitLab.
We also act as a key connection point between customers and the broader GitLab ecosystem, helping streamline collaboration with Product Management, Engineering, Sales, Professional Services, and other partners.
In this role, you will manage a team in
North America
while collaborating asynchronously with stakeholders across regions, with a focus on helping customers succeed at scale and improving how the organization supports them.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: San Francisco, CA | New York City, NY | 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
As an Integrity and Authenticity Policy Manager, you will be responsible for developing, refining, and maintaining policies that prevent the misuse of AI systems for deception, manipulation, and unauthorized monitoring at scale. You will serve as the policy owner for risks related to inauthentic behavior, influence activity, surveillance, and the profiling of individuals and groups, and you will help shape policy frameworks across several areas, including authenticity, information integrity, and privacy and surveillance.
Your initial focus will be on translating the Integrity and Authenticity risk framework into clear, enforceable policies, ensuring policy language addresses emerging threats identified by partner teams, and establishing guidelines that enable consistent enforcement decisions. Many of the most serious harms in this space begin with upstream steps that look routine on their own, such as compiling records about a person, automating account creation, or sorting users by inferred identity. Part of your work will be defining where those steps become prohibited. The role will expand as AI capabilities advance. Safety is core to our mission. You will help ensure our products cannot be used to deceive people at scale, monitor and profile people without their knowledge or consent, or sort and target populations based on sensitive characteristics.
Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature, as well as detailed descriptions of privacy violations, surveillance abuses, and deceptive campaigns targeting vulnerable people.
Key responsibilities
Develop and define policy boundaries for covert monitoring, tracking, and surveillance across different contexts, drawing the distinction between malicious behaviors and compliant dual-use scenarios
Write policy guidance on facial recognition, voice cloning, and geolocation inference, specifying which uses require consent and which are prohibited outright
Map the surveillance lifecycle, from target selection and data collection through analysis and covert deployment, and define the policy line at each stage so that interventions can occur early in the chain
Design and oversee evaluations that measure the model's capability to support social media monitoring, people-finding, predictive profiling, and the identification or tracking of specific people, to build, develop and improve safeguards with cross-functional partners to prevent malicious behaviors
Write and refine external-facing Usage Policy language and develop training guidelines, assessment rubrics, and evaluation protocols for enforcement teams, with emphasis on indicators of covert monitoring and population-level targeting
Validate enforcement decisions and automated assessments, provide policy guidance on complex edge cases such as investigative research into surveillance tools, coordinate with civil society, privacy experts, threat intelligence researchers, and academics, and serve as the escalation point for complex integrity and surveillance cases
Minimum qualifications
Working knowledge of how deceptive campaigns and covert monitoring operate in practice, including account networks, bot operations, data aggregation pipelines, and attribution methods
Familiarity with surveillance technologies and their misuse, including social media monitoring tools, people-search services, location tracking, spyware, facial recognition, and open-source intelligence techniques used against individuals
General knowledge of the global regulatory landscape around data protection, privacy, platform regulation, and digital services accountability
Strong policy writing skills, with the ability to translate complex threat frameworks into clear, enforceable guidelines
Experience designing policies and workflows that enable both clear human enforcement decision-making and technical implementation in ML classifiers and detection pipelines
Strong collaboration skills and extensive experience partnering with Engineering, Data Science, Legal, Threat Intelligence, and Policy teams on cross-functional initiatives
Excellent written and verbal communication skills, with the ability to explain deceptive tactics, surveillance methods, and policy rationales to diverse audiences, including non-specialists and policymakers
Preferred qualifications
5+ years of experience in policy development, trust and safety, threat intelligence, or platform integrity, with hands-on work on inauthentic behavior, surveillance-related abuse, or data misuse
Experience in privacy policy, privacy engineering, or data protection work, including familiarity with privacy impact assessments and data minimization principles
Experience in intelligence roles, state-aligned monitoring operations, or covert data collection campaigns
Experience investigating inauthentic networks, covert monitoring, or surveillance abuses at a platform, research organization, or government body
Background in digital forensics, open-source intelligence, or threat attribution
Knowledge of persuasion theory, cognitive biases, and deceptive communication techniques, including social engineering and pretexting methods
Familiarity with human rights and privacy frameworks as they apply to surveillance, including protections for journalists, activists, and marginalized communities
Experience with trust and safety operations involving content moderation evasion, bot detection, or platform scraping enforcement
Experience working with EU institutions, regulatory bodies, or policy organizations on AI governance or digital platform regulation
Experience conducting adversarial testing, red teaming, or vulnerability assessments for AI systems or platforms, particularly for misuse involving monitoring or profiling
Familiarity with generative AI capabilities and an understanding of how LLMs can be used for synthetic personas, social engineering, predictive profiling, or surveillance at 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:
$245,000
—
$285,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Join Anthropic's Customer Success team in a high-visibility & high-impact role driving AI adoption across a small number of enterprise accounts in our Enterprise Tech segment. As our dedicated Customer Success Manager for Enterprise Tech Customers you’ll be their partner and trusted advisor helping them harness the full potential of all our Claude capabilities - API, Claude Code, Cowork, and other surface areas.
You'll work with a book of global technology leaders to actively deploy AI and reshape the technology landscape. You’ll be working with key partners who are moving fast and pushing the boundaries of what's possible with LLM technology. Your role will entail developing genuine partnerships with the customer and key stakeholders, gaining a deep understanding of their multi-pronged business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us.
In partnership with the broader account team, you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage grows and evolves.
Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business.
Responsibilities:
Build trusting, strategic relationships with key customer decision makers in complex, matrixed organizations; understand their business and objectives and identify opportunities for optimization and expansion
Own customer operations across the lifecycle of each account, maintaining a structured operational assessment (customer readiness, operational health, strategic alignment, enablement strategy, adoption intelligence) that grounds comprehensive account and success plans and Executive Business Reviews
Become an expert in Anthropic's products across API, Claude Code and Cowork, understanding the technical nuances and best practices for each to guide customers to the right solutions
Leverage your deep knowledge of each customer, and the patterns you see across your other Tech accounts, to proactively drive consumption planning and the value story behind it, developing credible ROI hypotheses and quantifying outcomes that build the case for continued and expanded investment.
Monitor usage patterns and identify optimization opportunities across Claude surface areas (API, Claude Code, Cowork) to drive full value from contracted commitments
Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs
Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement
Ruthlessly prioritize across the account's many business units and workstreams, building programmatic, repeatable motions
You may be a good fit if you have:
6+ years of experience in Customer Success, Technical Account Management, Solutions Engineering, or Strategy Consulting
Experience working with F500 technology companies, SaaS platforms, or digital-first businesses at the exec level—ideally including high-growth and established tech companies.
You understand what it means to lead organization-wide change or adoption programs (multiple functions, hundreds of users) for a product that requires C-suite sponsorship
Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users
Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes — you can run multiple enterprise motions in parallel without letting any account go quiet.
Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs
Passion for AI and interest in responsible development of advanced systems. You have built with Claude Code, automating your own workflows with agents, skills, and tooling.
A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$200,000
—
$265,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: Remote, Brazil
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 an
Strategic Account Executive
, you’ll help expand GitLab’s presence across the Public Sector in Brazil by building trusted relationships with senior leaders at large organizations and guiding them through complex platform decisions. You’ll use a consultative sales approach to connect customer business needs with our AI-powered DevSecOps platform, helping teams improve developer productivity, reduce security and compliance risk, and move software delivery forward with more confidence. In this role, you’ll support strategic accounts across the full customer journey, from early conversations through adoption, while helping us position GitLab as a leading DevSecOps partner in the Brazilian market.
You’ll work across pre-sales, post-sales, partner, marketing, and support teams, and we’ll rely on you to bring strong account leadership, customer outcomes, and clear communication in
English and Portuguese
. Over your first year, your impact will come from building account plans for large organizations, developing new opportunities, and helping customers successfully adopt GitLab in ways that align to their business goals.
What you’ll do
Lead strategic account activity for prospects and customers across the Public Sector in Brazil, providing direction throughout pre-sales and post-sales engagements.
Develop opportunities within Public Sector accounts through prospecting, relationship building, and a consultative understanding of customer business needs.
Create account plans and customer proposals that clearly connect GitLab capabilities to organizational priorities and transformation goals.
Coordinate with pre-sales, post-sales, and support teams to support successful product rollout and customer adoption.
Generate qualified pipeline in partnership with strategic channel partners and support new customer development efforts.
Contribute customer feedback and product ideas to GitLab’s public issue tracker to represent the voice of the customer.
Prepare activity and forecast reports, and help analyze wins and losses to improve future sales execution.
Collaborate with marketing, account teams, product managers, and technical teams to share lessons learned and communicate customer needs clearly.
What you’ll bring
5+ years experience selling into large organizations and navigating complex Public Sector sales cycles with multiple stakeholders.
Ability to build and manage executive-level customer relationships with a high degree of ownership and follow-through.
Skill in consultative selling, including shaping proposals, presentations, and formal quotes around customer business needs.
Strength in negotiation, presentation, and closing conversations in a clear and effective way.
Comfort working independently on complex projects while coordinating with cross-functional teams.
Fluency in English and Portuguese for customer-facing and internal communication.
Familiarity with GitLab or related tools, including Git, software development tools, application lifecycle management, or security and application security tools.
Alignment with GitLab’s values, with openness to transferable experience from adjacent technical or software environments.
About the team
The team focuses on growing GitLab’s Public Sector business in Brazil by helping organizations adopt a single platform for software delivery, security, and collaboration. This role works closely with cross-functional partners across sales, solutions, support, marketing, and product, and contributes to an asynchronous, distributed way of working that values transparency, accountability, and shared customer insight. The team’s work sits at the intersection of strategic growth and customer transformation, with a focus on helping Public Sector organizations evaluate, adopt, and expand their use of GitLab across complex environments.
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
.