Location: Vilnius
500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating.
Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down.
With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better.
The job
As a Growth Product Manager – Core Monetisation at Flo, you’ll own the strategy and execution of initiatives that directly maximise user lifetime value. Your focus will be on pricing, paywall experience, and offer segmentation and personalisation, the core levers driving Flo’s revenue growth.
You’ll collaborate cross-functionally with analysts, designers, researchers, and engineers to design and optimise how users convert to Premium. This role has significant strategic visibility and you’ll work closely with the company product leadership to shape Flo’s monetisation roadmap and ensure our pricing and paywall strategy continues to set the benchmark in the health and wellness space.
This role is pivotal to reinforcing Flo’s position as a global leader in health and fitness, and as the world’s first fully digital female health unicorn.
Your Experience
Must have:
Proven experience developing pricing and subscription plan segmentation strategies to maximise LTV.
Strong track record of designing high-converting paywall experiences and personalising monetisation flows based on user segments.
Hands-on experience leveraging offers, discounts, add-ons, and subscription tiers to drive revenue growth and optimise monetisation performance.
Experience coordinating paywall campaigns, experiments, and launches across the app in close collaboration with cross-functional teams.
Deep expertise in A/B testing and experimentation, validating assumptions, and translating results into actionable monetisation improvements.
Experience working cross-functionally with engineering, design, analytics, and marketing teams to deliver measurable business impact.
Excellent analytical and problem-solving skills, with the ability to translate data into insights and make informed, evidence-based decisions.
Comfort working in a fast-paced, high-experiment environment with shifting priorities and multiple competing demands. You thrive in dynamic settings and are energised by experimentation at scale.
Nice to have:
Experience managing monetisation for a B2C app.
Experience with monetisation automation and machine learning techniques.
What you'll be doing
You'll be responsible for:
Analysing and identifying opportunities to optimise paywalls and pricing across regions, segments, and platforms to maximise user lifetime value and profitability.
Defining and implementing pricing strategies and tactics for subscriptions, complementary products, and add-ons, ensuring alignment with Flo’s business goals and market dynamics.
Designing and optimising paywall experiences and other monetisation mechanics to maximise conversion rates and deliver a seamless, high-performing upgrade journey.
Developing and executing targeted pricing and offer strategies for lifecycle moments and seasonal campaigns to unlock incremental revenue during key periods.
Partnering closely with engineering, design, analytics, and finance teams to enhance Flo’s monetisation systems, experimentation capabilities, and reporting accuracy.
Overseeing the management of App Store Connect and Google Play Console configurations related to pricing, SKUs, and subscriptions.
Acting as Flo’s subject-matter expert in monetisation, advising product teams on best practices, experimentation frameworks, and growth strategies that drive LTV.
#LI-Hybrid #LI-AJ1
Salary Range - gross per month (ranges may vary based on skills and experience)
€4.600
—
€6.500 EUR
How we work
We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar.
You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it.
What you'll get
We support impact with meaningful reward. Here’s what that looks like:
Competitive salary and annual reviews
Opportunity to participate in Flo’s performance incentive scheme
Paid holiday, sick leave, and female health leave
Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents
Accelerated professional growth through world-changing work and learning support
In-person collaboration and work in a hybrid model, with 3 days per week spent in the office
5-week fully paid sabbatical at 5-year Floversary
Flo Premium for friends & family, plus more health, pension and wellbeing perks
Diversity, equity and inclusion
Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our
privacy notice for job applicants
.
Vilnius; We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities
Location: London
500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating.
Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down.
With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better.
The job
As a Growth Product Manager – Core Monetisation at Flo, you’ll own the strategy and execution of initiatives that directly maximise user lifetime value. Your focus will be on pricing, paywall experience, and offer segmentation and personalisation, the core levers driving Flo’s revenue growth.
You’ll collaborate cross-functionally with analysts, designers, researchers, and engineers to design and optimise how users convert to Premium. This role has significant strategic visibility and you’ll work closely with the company product leadership to shape Flo’s monetisation roadmap and ensure our pricing and paywall strategy continues to set the benchmark in the health and wellness space.
This role is pivotal to reinforcing Flo’s position as a global leader in health and fitness, and as the world’s first fully digital female health unicorn.
Your Experience
Must have:
Proven experience developing pricing and subscription plan segmentation strategies to maximise LTV.
Strong track record of designing high-converting paywall experiences and personalising monetisation flows based on user segments.
Hands-on experience leveraging offers, discounts, add-ons, and subscription tiers to drive revenue growth and optimise monetisation performance.
Experience coordinating paywall campaigns, experiments, and launches across the app in close collaboration with cross-functional teams.
Deep expertise in A/B testing and experimentation, validating assumptions, and translating results into actionable monetisation improvements.
Experience working cross-functionally with engineering, design, analytics, and marketing teams to deliver measurable business impact.
Excellent analytical and problem-solving skills, with the ability to translate data into insights and make informed, evidence-based decisions.
Comfort working in a fast-paced, high-experiment environment with shifting priorities and multiple competing demands. You thrive in dynamic settings and are energised by experimentation at scale.
Nice to have:
Experience managing monetisation for a B2C app.
Experience with monetisation automation and machine learning techniques.
What you'll be doing
You'll be responsible for:
Analysing and identifying opportunities to optimise paywalls and pricing across regions, segments, and platforms to maximise user lifetime value and profitability.
Defining and implementing pricing strategies and tactics for subscriptions, complementary products, and add-ons, ensuring alignment with Flo’s business goals and market dynamics.
Designing and optimising paywall experiences and other monetisation mechanics to maximise conversion rates and deliver a seamless, high-performing upgrade journey.
Developing and executing targeted pricing and offer strategies for lifecycle moments and seasonal campaigns to unlock incremental revenue during key periods.
Partnering closely with engineering, design, analytics, and finance teams to enhance Flo’s monetisation systems, experimentation capabilities, and reporting accuracy.
Overseeing the management of App Store Connect and Google Play Console configurations related to pricing, SKUs, and subscriptions.
Acting as Flo’s subject-matter expert in monetisation, advising product teams on best practices, experimentation frameworks, and growth strategies that drive LTV.
#LI-Hybrid #LI-AJ1
Annual Salary Range (ranges may vary based on skills and experience)
£78,000
—
£90,000 GBP
How we work
We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar.
You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it.
What you'll get
We support impact with meaningful reward. Here’s what that looks like:
Competitive salary and annual reviews
Opportunity to participate in Flo’s performance incentive scheme
Paid holiday, sick leave, and female health leave
Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents
Accelerated professional growth through world-changing work and learning support
In-person collaboration and work in a hybrid model, with 3 days per week spent in the office
5-week fully paid sabbatical at 5-year Floversary
Flo Premium for friends & family, plus more health, pension and wellbeing perks
Diversity, equity and inclusion
Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our
privacy notice for job applicants
.
Location: Vilnius
500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating.
Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down.
With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better.
The job
As Flo continues to scale globally, we're looking for an ambitious and commercially minded Product Manager – Web Onboarding to help accelerate our growth by building and optimising high-performing web acquisition funnels. This is an opportunity to work at the intersection of Product, Growth Marketing and Monetisation, shaping how millions of potential users discover Flo, understand its value and become paying subscribers.
You'll take ownership of developing new web onboarding experiences from the ground up, while continuously optimising existing funnels to maximise conversion, revenue and customer lifetime value. From user journeys and personalisation to pricing, paywalls and experimentation, you'll have the autonomy to identify growth opportunities and turn them into measurable business results. Working closely with User Acquisition, Design, Engineering and Analytics, you'll play a critical role in unlocking new opportunities to scale paid marketing channels, including Meta, Google and TikTok. This is a unique opportunity to combine the speed and experimentation culture of a high-growth business with the scale and impact of one of the world's most successful consumer health platforms.
Your Experience
Must have:
Proven experience in B2C product management, ideally within a high-growth consumer subscription, e-commerce or digital product business.
Hands-on experience building and optimising web acquisition or onboarding funnels, with a track record of improving conversion rates and delivering measurable business impact.
Strong understanding of product growth and monetisation, including conversion optimisation, pricing, paywalls, subscriptions and customer lifetime value.
Experience developing new funnel experiences from scratch, from identifying opportunities and defining hypotheses to launching, measuring and iterating on new products.
Strong understanding of paid user acquisition, including how channels such as Meta, Google and TikTok interact with landing pages, onboarding experiences and conversion performance.
Highly analytical and data-driven mindset, with hands-on experience in A/B testing, funnel analytics, experimentation and interpreting performance metrics to make product decisions.
Strong commercial acumen, with an understanding of acquisition economics, revenue optimisation, customer acquisition costs and lifetime value.
Excellent prioritisation and problem-solving skills, with the ability to identify high-impact opportunities, make decisions under uncertainty and balance multiple competing initiatives.
Strong cross-functional collaboration skills, with experience working closely with Engineering, Design, Analytics and Marketing to deliver impactful product improvements.
A proactive, entrepreneurial mindset, with a strong sense of ownership, curiosity and a willingness to challenge assumptions and move quickly.
What you'll be doing
You'll be responsible for:
Build and scale high-performing web funnels
Own the product roadmap for Flo's web onboarding funnels, driving improvements in conversion, revenue and customer lifetime value.
Develop and launch new web funnel experiences from scratch, identifying opportunities to engage new audiences, communicate Flo's value proposition and convert visitors into paying subscribers.
Continuously optimise existing funnels through experimentation, improving every step of the user journey, from landing pages and onboarding questions to paywalls and checkout.
Explore new approaches to funnel design, personalisation and user segmentation to create compelling experiences tailored to different audiences and acquisition channels.
Drive monetisation and commercial performance
Own the monetisation strategy for your funnels, including pricing, subscription plans, paywall experiences, promotional offers and other conversion levers.
Identify and prioritise opportunities to maximise revenue, revenue per visitor and customer lifetime value while maintaining a strong customer experience.
Develop and execute a high-velocity experimentation roadmap, using A/B testing, customer insights and performance data to deliver measurable growth.
Take accountability for funnel performance, continuously monitoring key metrics and translating insights into clear product priorities.
Partner with User Acquisition to unlock scalable growth
Work closely with User Acquisition and Growth Marketing teams to develop funnel experiences that maximise the performance and scalability of paid acquisition campaigns across Meta, Google, TikTok and other channels.
Collaborate on new audience segments, messaging, value propositions and acquisition strategies, ensuring alignment between advertising campaigns and the user experience.
Identify opportunities to improve acquisition economics through higher conversion rates, stronger monetisation and better customer lifetime value.
Partner with Marketing to test new growth hypotheses and unlock additional opportunities for profitable customer acquisition.
Lead execution and drive business impact
Lead a cross-functional product squad, working closely with Design, Engineering and Analytics to turn growth opportunities into high-quality product experiences.
Use quantitative and qualitative insights to understand user behaviour, identify friction points and develop effective solutions.
Balance rapid experimentation with strategic thinking, ensuring short-term optimisation efforts contribute to long-term sustainable growth.
Collaborate with other Product, Payments, Marketing and Legal teams to ensure seamless customer journeys and commercially effective, compliant experiences.
#LI-Hybrid #LI-AJ1
Salary Range - gross per month (ranges may vary based on skills and experience)
€4.600
—
€6.500 EUR
How we work
We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar.
You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it.
What you'll get
We support impact with meaningful reward. Here’s what that looks like:
Competitive salary and annual reviews
Opportunity to participate in Flo’s performance incentive scheme
Paid holiday, sick leave, and female health leave
Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents
Accelerated professional growth through world-changing work and learning support
In-person collaboration and work in a hybrid model, with 3 days per week spent in the office
5-week fully paid sabbatical at 5-year Floversary
Flo Premium for friends & family, plus more health, pension and wellbeing perks
Diversity, equity and inclusion
Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our
privacy notice for job applicants
.
Location: London
500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating.
Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down.
With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better.
The job
As Flo continues to scale globally, we're looking for an ambitious and commercially minded Product Manager – Web Onboarding to help accelerate our growth by building and optimising high-performing web acquisition funnels. This is an opportunity to work at the intersection of Product, Growth Marketing and Monetisation, shaping how millions of potential users discover Flo, understand its value and become paying subscribers.
You'll take ownership of developing new web onboarding experiences from the ground up, while continuously optimising existing funnels to maximise conversion, revenue and customer lifetime value. From user journeys and personalisation to pricing, paywalls and experimentation, you'll have the autonomy to identify growth opportunities and turn them into measurable business results. Working closely with User Acquisition, Design, Engineering and Analytics, you'll play a critical role in unlocking new opportunities to scale paid marketing channels, including Meta, Google and TikTok. This is a unique opportunity to combine the speed and experimentation culture of a high-growth business with the scale and impact of one of the world's most successful consumer health platforms.
Your Experience
Must have:
Proven experience in B2C product management, ideally within a high-growth consumer subscription, e-commerce or digital product business.
Hands-on experience building and optimising web acquisition or onboarding funnels, with a track record of improving conversion rates and delivering measurable business impact.
Strong understanding of product growth and monetisation, including conversion optimisation, pricing, paywalls, subscriptions and customer lifetime value.
Experience developing new funnel experiences from scratch, from identifying opportunities and defining hypotheses to launching, measuring and iterating on new products.
Strong understanding of paid user acquisition, including how channels such as Meta, Google and TikTok interact with landing pages, onboarding experiences and conversion performance.
Highly analytical and data-driven mindset, with hands-on experience in A/B testing, funnel analytics, experimentation and interpreting performance metrics to make product decisions.
Strong commercial acumen, with an understanding of acquisition economics, revenue optimisation, customer acquisition costs and lifetime value.
Excellent prioritisation and problem-solving skills, with the ability to identify high-impact opportunities, make decisions under uncertainty and balance multiple competing initiatives.
Strong cross-functional collaboration skills, with experience working closely with Engineering, Design, Analytics and Marketing to deliver impactful product improvements.
A proactive, entrepreneurial mindset, with a strong sense of ownership, curiosity and a willingness to challenge assumptions and move quickly.
What you'll be doing
You'll be responsible for:
Build and scale high-performing web funnels
Own the product roadmap for Flo's web onboarding funnels, driving improvements in conversion, revenue and customer lifetime value.
Develop and launch new web funnel experiences from scratch, identifying opportunities to engage new audiences, communicate Flo's value proposition and convert visitors into paying subscribers.
Continuously optimise existing funnels through experimentation, improving every step of the user journey, from landing pages and onboarding questions to paywalls and checkout.
Explore new approaches to funnel design, personalisation and user segmentation to create compelling experiences tailored to different audiences and acquisition channels.
Drive monetisation and commercial performance
Own the monetisation strategy for your funnels, including pricing, subscription plans, paywall experiences, promotional offers and other conversion levers.
Identify and prioritise opportunities to maximise revenue, revenue per visitor and customer lifetime value while maintaining a strong customer experience.
Develop and execute a high-velocity experimentation roadmap, using A/B testing, customer insights and performance data to deliver measurable growth.
Take accountability for funnel performance, continuously monitoring key metrics and translating insights into clear product priorities.
Partner with User Acquisition to unlock scalable growth
Work closely with User Acquisition and Growth Marketing teams to develop funnel experiences that maximise the performance and scalability of paid acquisition campaigns across Meta, Google, TikTok and other channels.
Collaborate on new audience segments, messaging, value propositions and acquisition strategies, ensuring alignment between advertising campaigns and the user experience.
Identify opportunities to improve acquisition economics through higher conversion rates, stronger monetisation and better customer lifetime value.
Partner with Marketing to test new growth hypotheses and unlock additional opportunities for profitable customer acquisition.
Lead execution and drive business impact
Lead a cross-functional product squad, working closely with Design, Engineering and Analytics to turn growth opportunities into high-quality product experiences.
Use quantitative and qualitative insights to understand user behaviour, identify friction points and develop effective solutions.
Balance rapid experimentation with strategic thinking, ensuring short-term optimisation efforts contribute to long-term sustainable growth.
Collaborate with other Product, Payments, Marketing and Legal teams to ensure seamless customer journeys and commercially effective, compliant experiences.
#LI-Hybrid #LI-AJ1
Annual Salary Range (ranges may vary based on skills and experience)
£78,000
—
£90,000 GBP
How we work
We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar.
You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it.
What you'll get
We support impact with meaningful reward. Here’s what that looks like:
Competitive salary and annual reviews
Opportunity to participate in Flo’s performance incentive scheme
Paid holiday, sick leave, and female health leave
Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents
Accelerated professional growth through world-changing work and learning support
In-person collaboration and work in a hybrid model, with 3 days per week spent in the office
5-week fully paid sabbatical at 5-year Floversary
Flo Premium for friends & family, plus more health, pension and wellbeing perks
Diversity, equity and inclusion
Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our
privacy notice for job applicants
.
Location: Dublin, IE
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking an International Finance Program Manager to join our International Accounting team in Dublin at Anthropic. In this role, you will drive execution excellence across a diverse portfolio of international expansion initiatives, standing up new go-to-market and infrastructure entities. You will partner closely with the Accounting, Tax, Treasury, Payroll and Finance Systems leads, functional business owners, and cross-functional teams to ensure initiatives are well-governed, on track, and delivering measurable business value.
This role requires someone who can context-switch across multiple finance domains, establish lightweight but effective program management practices, and thrive in a fast-paced environment where priorities evolve quickly. You will be instrumental in helping Anthropic scale its international footprint so that every new entity is ready to operate and meet its obligations from day one.
Responsibilities
Program Management:
Manage a portfolio of international entity set-ups, ensuring clear prioritization, resource alignment, and delivery accountability across the Finance teams that own the deliverables
Governance & Process Design:
Establish and maintain lightweight governance frameworks appropriate for a fast-paced, engineering-centric culture, including standardized project intake, status reporting, risk management, and decision escalation processes
Status Tracking & Reporting:
Provide clear, consistent visibility into project health, milestones, dependencies, and risks through structured reporting to the Head of International Accounting, functional leads, and Finance leadership, and maintain the inventory of entities and the infrastructure expansion pipeline
Cross-Functional Coordination:
Lead cross-functional coordination across Finance Operations, Accounting, Tax, Treasury, Payroll, Finance Systems, Legal and People Operations teams to drive alignment and remove blockers
Entity Set-up and Go-live Readiness:
Track the finance set-up of each new entity (bank accounts, tax registrations, intercompany agreements, bank mandates, payroll, Workday and the accounting systems) and its go-live readiness, through the first payroll, first month-end close and first payroll tax or VAT filing, in support of the finance owner
Compliance Coordination:
Partner with the Tax, Payroll and Accounting teams and local advisers to support the registrations, filings and compliance calendar of each new entity
Change Management:
Drive user adoption for new entity processes and controls through structured change management, including training, communication plans, and post-go-live support
Vendor Management:
Track and manage vendor delivery timelines, SOW commitments, and partner accountability across the banks and the payroll, tax and accounting providers in each country
AI Initiative Tracking:
Coordinate AI automation initiatives within the international expansion portfolio, tracking progress on Claude-powered use cases and ensuring integration with broader Finance roadmap
Minimum Qualifications
Have 10+ years of experience in program management, project management, or PMO roles, with at least 3 years working in finance or accounting
Have hands-on experience managing complex entity set-ups, international expansion programs or multi-country roll-outs
Can manage multiple concurrent workstreams across different finance domains without losing sight of the details or the big picture
Are skilled at building trusted relationships with diverse stakeholders across Finance, Accounting, Tax, Treasury, Legal and People Operations teams
Have experience designing and implementing governance frameworks that provide accountability without excessive overhead, particularly in fast-paced, agile environments
Possess strong analytical skills and can synthesize complex project data into clear, executive-ready reporting
Are proficient with modern project management tools (Asana, Jira, or similar) and entity management tools and can quickly establish portfolio-level visibility and dashboards
Have excellent communication and presentation skills, with the ability to convey complex project information to both technical and non-technical audiences
Demonstrate strong problem-solving abilities and can navigate ambiguity while maintaining focus on delivery and deadlines
Are passionate about building scalable processes that support rapid organizational growth
Preferred Qualifications
Background in finance operations, accounting, or FP&A with understanding of month-end close, financial reporting, and compliance workflows
Experience with change management frameworks and methodologies
Experience working in high-growth technology companies
A professional accounting qualification (ACA, ACCA, CPA or equivalent)
A project management qualification
Interest in or experience with AI-powered automation and its application to finance processes
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:
€170.000
—
€220.000 EUR
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: NZ: Wellington: Xero One (19-23 Taranaki St)
Workplace: Hybrid
The role & impact
As our Affiliates Manager, you’ll own the strategy and day-to-day management of Xero’s global affiliate channel, across both the Xero and Melio brands. You’ll look after publisher relationships end to end and shape campaigns that bring new customers to our websites, optimising them towards lifetime value and first-time payers. Working across Impact and PartnerStack, you’ll manage a multi-million dollar channel and be accountable for clear, measurable returns.
This is a rare chance to help build an affiliate channel that sets the standard for SaaS, at a global, publicly listed company. You’ll help us move from doing acquisition well to doing it at scale, building tools and workflows (many powered by AI) that make growth repeatable. You’ll be the person who can sit down with an engineer or applied scientist to work through tracking, attribution and incrementality, then turn those insights into plans that publishers, partners and stakeholders get behind.
The team & how they connect
You’ll join our affiliates team, part of Xero’s wider performance marketing function, working alongside a fellow Affiliates Manager in Sydney who specialises in publisher relationships. The two of you will share ownership of the channel, with your measurement and technical know-how complementing their partner expertise. You’ll Make it together with product, data science, engineering, brand and our external affiliate agency to bring every campaign to life.
Initially, the role will focus on
➔ Getting hands-on with our affiliate platforms, Impact for Xero and PartnerStack for Melio, and the tracking and reporting behind them.
➔ Reviewing performance and attribution data across both programmes, and closing any tracking gaps quickly.
➔ Growing and nurturing high-quality publisher partnerships across our core markets of Australia, the UK and the US.
➔ Shaping the channel’s roadmap, including AI-powered tools and automation that help us scale acquisition.
Where and how you can work
This role can be based anywhere in Australia or New Zealand, near one of our offices. We work in a hybrid way, mixing time with your team in the office with time working from home, and our offices host regular boost days that make catching up in person easy.
Here are some of the things we are looking for
➔ You’ll bring hands-on affiliate marketing experience at scale, whether from an affiliate network, platform, agency or the client side.
➔ Experience running programmes on platforms such as Impact or PartnerStack, from partner recruitment through to optimisation and reporting, is something you bring.
➔ A strong grasp of tracking, attribution, measurement and incrementality means you enjoy getting into the detail with engineers and data scientists.
➔ Building trusted relationships comes naturally to you, from publishers and partners to technical and business stakeholders.
➔ Owning budgets and commercial targets feels familiar, and you can turn data into clear insights that show the value of the channel.
➔ Curiosity about AI is part of how you work, and you Make it happen by finding, testing and rolling out new tools that help the channel scale.
Apply even if your experience isn’t a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Location: NZ: Auckland: Xero 4 (96 St Georges Bay Rd, Level 2 & 3)
Workplace: Hybrid
The role & impact
As our Affiliates Manager, you’ll own the strategy and day-to-day management of Xero’s global affiliate channel, across both the Xero and Melio brands. You’ll look after publisher relationships end to end and shape campaigns that bring new customers to our websites, optimising them towards lifetime value and first-time payers. Working across Impact and PartnerStack, you’ll manage a multi-million dollar channel and be accountable for clear, measurable returns.
This is a rare chance to help build an affiliate channel that sets the standard for SaaS, at a global, publicly listed company. You’ll help us move from doing acquisition well to doing it at scale, building tools and workflows (many powered by AI) that make growth repeatable. You’ll be the person who can sit down with an engineer or applied scientist to work through tracking, attribution and incrementality, then turn those insights into plans that publishers, partners and stakeholders get behind.
The team & how they connect
You’ll join our affiliates team, part of Xero’s wider performance marketing function, working alongside a fellow Affiliates Manager in Sydney who specialises in publisher relationships. The two of you will share ownership of the channel, with your measurement and technical know-how complementing their partner expertise. You’ll Make it together with product, data science, engineering, brand and our external affiliate agency to bring every campaign to life.
Initially, the role will focus on
➔ Getting hands-on with our affiliate platforms, Impact for Xero and PartnerStack for Melio, and the tracking and reporting behind them.
➔ Reviewing performance and attribution data across both programmes, and closing any tracking gaps quickly.
➔ Growing and nurturing high-quality publisher partnerships across our core markets of Australia, the UK and the US.
➔ Shaping the channel’s roadmap, including AI-powered tools and automation that help us scale acquisition.
Where and how you can work
This role can be based anywhere in Australia or New Zealand, near one of our offices. We work in a hybrid way, mixing time with your team in the office with time working from home, and our offices host regular boost days that make catching up in person easy.
Here are some of the things we are looking for
➔ You’ll bring hands-on affiliate marketing experience at scale, whether from an affiliate network, platform, agency or the client side.
➔ Experience running programmes on platforms such as Impact or PartnerStack, from partner recruitment through to optimisation and reporting, is something you bring.
➔ A strong grasp of tracking, attribution, measurement and incrementality means you enjoy getting into the detail with engineers and data scientists.
➔ Building trusted relationships comes naturally to you, from publishers and partners to technical and business stakeholders.
➔ Owning budgets and commercial targets feels familiar, and you can turn data into clear insights that show the value of the channel.
➔ Curiosity about AI is part of how you work, and you Make it happen by finding, testing and rolling out new tools that help the channel scale.
Apply even if your experience isn’t a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Location: AU: Brisbane (243 Edward St)
Workplace: Hybrid
The role & impact
As our Affiliates Manager, you’ll own the strategy and day-to-day management of Xero’s global affiliate channel, across both the Xero and Melio brands. You’ll look after publisher relationships end to end and shape campaigns that bring new customers to our websites, optimising them towards lifetime value and first-time payers. Working across Impact and PartnerStack, you’ll manage a multi-million dollar channel and be accountable for clear, measurable returns.
This is a rare chance to help build an affiliate channel that sets the standard for SaaS, at a global, publicly listed company. You’ll help us move from doing acquisition well to doing it at scale, building tools and workflows (many powered by AI) that make growth repeatable. You’ll be the person who can sit down with an engineer or applied scientist to work through tracking, attribution and incrementality, then turn those insights into plans that publishers, partners and stakeholders get behind.
The team & how they connect
You’ll join our affiliates team, part of Xero’s wider performance marketing function, working alongside a fellow Affiliates Manager in Sydney who specialises in publisher relationships. The two of you will share ownership of the channel, with your measurement and technical know-how complementing their partner expertise. You’ll Make it together with product, data science, engineering, brand and our external affiliate agency to bring every campaign to life.
Initially, the role will focus on
➔ Getting hands-on with our affiliate platforms, Impact for Xero and PartnerStack for Melio, and the tracking and reporting behind them.
➔ Reviewing performance and attribution data across both programmes, and closing any tracking gaps quickly.
➔ Growing and nurturing high-quality publisher partnerships across our core markets of Australia, the UK and the US.
➔ Shaping the channel’s roadmap, including AI-powered tools and automation that help us scale acquisition.
Where and how you can work
This role can be based anywhere in Australia or New Zealand, near one of our offices. We work in a hybrid way, mixing time with your team in the office with time working from home, and our offices host regular boost days that make catching up in person easy.
Here are some of the things we are looking for
➔ You’ll bring hands-on affiliate marketing experience at scale, whether from an affiliate network, platform, agency or the client side.
➔ Experience running programmes on platforms such as Impact or PartnerStack, from partner recruitment through to optimisation and reporting, is something you bring.
➔ A strong grasp of tracking, attribution, measurement and incrementality means you enjoy getting into the detail with engineers and data scientists.
➔ Building trusted relationships comes naturally to you, from publishers and partners to technical and business stakeholders.
➔ Owning budgets and commercial targets feels familiar, and you can turn data into clear insights that show the value of the channel.
➔ Curiosity about AI is part of how you work, and you Make it happen by finding, testing and rolling out new tools that help the channel scale.
Apply even if your experience isn’t a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Location: AU: Sydney (45 Clarence St)
Workplace: Hybrid
The role & impact
As our Affiliates Manager, you’ll own the strategy and day-to-day management of Xero’s global affiliate channel, across both the Xero and Melio brands. You’ll look after publisher relationships end to end and shape campaigns that bring new customers to our websites, optimising them towards lifetime value and first-time payers. Working across Impact and PartnerStack, you’ll manage a multi-million dollar channel and be accountable for clear, measurable returns.
This is a rare chance to help build an affiliate channel that sets the standard for SaaS, at a global, publicly listed company. You’ll help us move from doing acquisition well to doing it at scale, building tools and workflows (many powered by AI) that make growth repeatable. You’ll be the person who can sit down with an engineer or applied scientist to work through tracking, attribution and incrementality, then turn those insights into plans that publishers, partners and stakeholders get behind.
The team & how they connect
You’ll join our affiliates team, part of Xero’s wider performance marketing function, working alongside a fellow Affiliates Manager in Sydney who specialises in publisher relationships. The two of you will share ownership of the channel, with your measurement and technical know-how complementing their partner expertise. You’ll Make it together with product, data science, engineering, brand and our external affiliate agency to bring every campaign to life.
Initially, the role will focus on
➔ Getting hands-on with our affiliate platforms, Impact for Xero and PartnerStack for Melio, and the tracking and reporting behind them.
➔ Reviewing performance and attribution data across both programmes, and closing any tracking gaps quickly.
➔ Growing and nurturing high-quality publisher partnerships across our core markets of Australia, the UK and the US.
➔ Shaping the channel’s roadmap, including AI-powered tools and automation that help us scale acquisition.
Where and how you can work
This role can be based anywhere in Australia or New Zealand, near one of our offices. We work in a hybrid way, mixing time with your team in the office with time working from home, and our offices host regular boost days that make catching up in person easy.
Here are some of the things we are looking for
➔ You’ll bring hands-on affiliate marketing experience at scale, whether from an affiliate network, platform, agency or the client side.
➔ Experience running programmes on platforms such as Impact or PartnerStack, from partner recruitment through to optimisation and reporting, is something you bring.
➔ A strong grasp of tracking, attribution, measurement and incrementality means you enjoy getting into the detail with engineers and data scientists.
➔ Building trusted relationships comes naturally to you, from publishers and partners to technical and business stakeholders.
➔ Owning budgets and commercial targets feels familiar, and you can turn data into clear insights that show the value of the channel.
➔ Curiosity about AI is part of how you work, and you Make it happen by finding, testing and rolling out new tools that help the channel scale.
Apply even if your experience isn’t a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Location: United States
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
We're looking for a Sr. Data Analyst, Compliance to join our team remotely! The primary goal of this role is to elevate decision-making by uncovering emerging trends and root causes, and by driving insights and actions that provide full visibility into business performance and operational efficiency.
Beyond technical expertise, success in this role depends on being a true business partner who combines data-driven insights with strategic thinking to deliver actionable recommendations, guide decision-making, and drive measurable impact across the organization.
In this role, you'll own end-to-end data management, from building and maintaining datasets and pipelines to designing dashboards and delivering insights for the Compliance team. A core part of this role is owning the logic and rule-setting behind transaction monitoring across deposits and withdrawals. You'll also contribute to experimentation infrastructure, laying the groundwork for future ML and intelligence initiatives.
THE OPPORTUNITY
- Own the logic and rule-setting behind transaction monitoring across deposits and withdrawals, partnering closely with Compliance to study patterns and refine detection logic
- Translate compliance requirements into production detection logic, preserving correctness across alert eligibility, thresholds, customer segmentation, date windows, and deduplication
- Develop and maintain Python and SQL pipelines for transaction data preparation, feature engineering, and detection workflows
- Evaluate detection rules and analytical models across coverage, alert quality, threshold sensitivity, and the impact of proposed changes
- Design reproducible evaluations on historical data that account for limited labels, class imbalance, and shifts in customer behaviour over time
- Own testing, deployment, scheduling, monitoring, and operational support for detection workflows, including investigating data quality issues, pipeline failures, and unexpected changes in detection results
- Execute historical backfills with clear validation and traceability, and maintain reliable downstream alert delivery and integrations with compliance systems
- Be at the forefront of data innovation by experimenting, testing hypotheses, and translating insights into action, while incorporating software engineering best practices into pipelines and dashboards.
WHAT YOU BRING
- 7+ years of experience in data analysis, data science, and data management within the fintech, crypto, financial services, or gambling industry, gained in a fast-paced, high-growth environment
- Experience working with compliance, fraud, funding, finance, and customer support teams and analyzing large datasets, engineering features, and applying statistical methods to practical business problems
- Strong Python and SQL skills, with experience building and supporting production data or analytical systems
- Hands-on experience using dbt or similar tooling to model and organize high-fidelity data for reporting and decision-making
- Experience setting up and managing data pipelines with a strong understanding of workflow orchestration, plus strong software engineering practices including version control, automated testing, code review, and CI/CD
- Solid statistical foundation; ML exposure is a strong plus
- Proficiency with BI and data visualization tools (e.g., Hex, Tableau, Power BI, or similar) to build executive-facing dashboards
- Ability to investigate production issues independently and communicate technical findings and uncertainty to non-technical stakeholders
- You believe wholeheartedly in the values outlined in Kraken's Tentaclements document
- A degree in a field emphasizing analytical rigor, such as analytics, software engineering, statistics, or economics
- Based in Canada, the US, or Brazil, and fluent in English
NICE TO HAVES
- Fraud detection, AML, anomaly detection, or other risk applications
- Experience with Athena, Trino, Kafka, and Kubernetes alongside the core Airflow/dbt/S3 stack
- Transaction pattern analysis, customer segmentation, and detection threshold tuning
- Developing or productionising machine learning models, including experiment tracking and performance monitoring
- Working with sparse or delayed feedback from investigations to evaluate and improve detection
- Explainability, auditability, and change control in regulated environments
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: Canada; Brazil
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
We're looking for a Sr. Data Analyst, Compliance to join our team remotely! The primary goal of this role is to elevate decision-making by uncovering emerging trends and root causes, and by driving insights and actions that provide full visibility into business performance and operational efficiency.
Beyond technical expertise, success in this role depends on being a true business partner who combines data-driven insights with strategic thinking to deliver actionable recommendations, guide decision-making, and drive measurable impact across the organization.
In this role, you'll own end-to-end data management, from building and maintaining datasets and pipelines to designing dashboards and delivering insights for the Compliance team. A core part of this role is owning the logic and rule-setting behind transaction monitoring across deposits and withdrawals. You'll also contribute to experimentation infrastructure, laying the groundwork for future ML and intelligence initiatives.
THE OPPORTUNITY
- Own the logic and rule-setting behind transaction monitoring across deposits and withdrawals, partnering closely with Compliance to study patterns and refine detection logic
- Translate compliance requirements into production detection logic, preserving correctness across alert eligibility, thresholds, customer segmentation, date windows, and deduplication
- Develop and maintain Python and SQL pipelines for transaction data preparation, feature engineering, and detection workflows
- Evaluate detection rules and analytical models across coverage, alert quality, threshold sensitivity, and the impact of proposed changes
- Design reproducible evaluations on historical data that account for limited labels, class imbalance, and shifts in customer behaviour over time
- Own testing, deployment, scheduling, monitoring, and operational support for detection workflows, including investigating data quality issues, pipeline failures, and unexpected changes in detection results
- Execute historical backfills with clear validation and traceability, and maintain reliable downstream alert delivery and integrations with compliance systems
- Be at the forefront of data innovation by experimenting, testing hypotheses, and translating insights into action, while incorporating software engineering best practices into pipelines and dashboards.
WHAT YOU BRING
- 7+ years of experience in data analysis, data science, and data management within the fintech, crypto, financial services, or gambling industry, gained in a fast-paced, high-growth environment
- Experience working with compliance, fraud, funding, finance, and customer support teams and analyzing large datasets, engineering features, and applying statistical methods to practical business problems
- Strong Python and SQL skills, with experience building and supporting production data or analytical systems
- Hands-on experience using dbt or similar tooling to model and organize high-fidelity data for reporting and decision-making
- Experience setting up and managing data pipelines with a strong understanding of workflow orchestration, plus strong software engineering practices including version control, automated testing, code review, and CI/CD
- Solid statistical foundation; ML exposure is a strong plus
- Proficiency with BI and data visualization tools (e.g., Hex, Tableau, Power BI, or similar) to build executive-facing dashboards
- Ability to investigate production issues independently and communicate technical findings and uncertainty to non-technical stakeholders
- You believe wholeheartedly in the values outlined in Kraken's Tentaclements document
- A degree in a field emphasizing analytical rigor, such as analytics, software engineering, statistics, or economics
- Based in Canada, the US, or Brazil, and fluent in English
NICE TO HAVES
- Fraud detection, AML, anomaly detection, or other risk applications
- Experience with Athena, Trino, Kafka, and Kubernetes alongside the core Airflow/dbt/S3 stack
- Transaction pattern analysis, customer segmentation, and detection threshold tuning
- Developing or productionising machine learning models, including experiment tracking and performance monitoring
- Working with sparse or delayed feedback from investigations to evaluate and improve detection
- Explainability, auditability, and change control in regulated environments
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
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
Anthropic's sales organization is growing quickly across segments, industries, and geographies, and how we sell has to mature as fast as the team does. We are looking for a Head of Sales Excellence & Methodology to own the substance of sales enablement at Anthropic: the sales methodology itself, the standard for what excellent selling looks like here, and the change management that makes it stick in the field.
You will define a common way of selling that holds up across very different customers, from startups to the largest global enterprises, and then lead the organization through adopting it. That means earning sponsorship from senior sales leadership, equipping frontline managers to coach to the methodology instead of only inspecting for it, and building alongside sellers so the result reflects how deals are really won.
This is a leadership role for someone who has taken a sales organization through real transformation and can show that it changed behavior and results. You will set direction, [build and lead a team], and stay close enough to the field to know when something is not working.
Key responsibilities:
Define, document, and evolve Anthropic's sales methodology and process standards, including discovery, qualification, deal strategy, and deal review, so that sellers in every segment and region share a common language
Design and run the rollout and reinforcement of methodology changes across the sales organization, securing executive sponsorship and making clear what is expected of each level of sales leadership
Equip frontline managers to coach to the methodology in pipeline reviews, deal reviews, and forecasting, so that it becomes part of the operating rhythm
Sequence and deliver complex, multi-audience programs across geographies, segments, industries, and roles that scale globally while adapting where local or segment differences matter
Develop content, frameworks, and standards together with sellers and sales leaders, testing them on live deals before scaling
Define the leading and lagging indicators that show whether the methodology is changing seller behavior and outcomes, and act on what the data shows
Partner with Sales Leadership, Revenue Operations, Product, Marketing, and the wider Sales Enablement team so the methodology is reflected in systems, messaging, and day-to-day workflows
Apply Claude and internal tooling to personalize coaching and reinforcement, so that quality does not depend on headcount
Minimum qualifications:
Practitioner-level expertise in sales methodology and sales process design, including discovery, qualification, deal strategy, deal review, and forecasting
Have led a methodology or sales process change across a sales organization, and can show how seller behavior and results changed as a result
Have run enablement or sales excellence programs spanning multiple geographies, segments, industries, or roles
Have worked directly with senior sales leaders and frontline managers to secure sponsorship for change, including holding a position constructively when they disagreed
Have built programs with sellers and sales leaders, testing them on live deals, instead of handing down finished programs
Have defined and tracked adoption and impact measures that go beyond completion and satisfaction scores
Communicate clearly, in writing and in conversation, with executive audiences
Preferred qualifications:
Experience building and leading a team of senior enablement or sales excellence professionals
A clear, experience-based view of where common sales methodologies break down in practice
Prior experience carrying a quota or leading a sales team
Experience at an AI company or an enterprise technology company during a period of rapid sales team scaling
Hands-on experience using Claude or similar AI tools to automate or personalize coaching and reinforcement
Experience selling, or enabling the sale of, complex technical products to both technical and business buyers
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:
$310,000
—
$360,000 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: Hong Kong or Remote
Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities.
Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore
Have Fun
and
Is Motion Gaming Back?
, as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations.
Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities.
Important Notice:
⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in
@nex.inc
. If you receive a suspicious email or message, please do not respond and report it immediately to us.
Location: Hong Kong or Remote
Type: Full Time
The Role
As a ML Researcher at Nex, you will develop new machine learning models and algorithms that push the boundaries of computational perception and interaction on Nex Playground. You will join a small, deeply technical team that combines research and engineering to solve complex problems in sensing, understanding, and multimodal interaction.
The ML Research role emphasizes rapid experimentation, exploring new ideas and methods to expand what our platform can sense, understand, and respond to. You will work within the ML Research group, collaborating closely with ML Engineers who build the infrastructure that accelerates your research.
This role is ideal for researchers who want to see their work directly impact product capabilities while maintaining a focus on cutting-edge innovation.
The Mindset
You are driven by curiosity and technical discovery. You see research as a systematic process of exploration and validation, not just theoretical work. You balance scientific rigor with practical impact, knowing that the best research solves real problems. You thrive in a team that values experimentation velocity and measurable technical improvement.
What You’ll Do
Develop novel ML models and algorithms for computational perception and interaction
Design and execute rapid experiments to validate new ideas and methods
Explore advancements in computer vision, audio processing, sensor fusion, or related domains
Collaborate with ML Engineers to integrate research outcomes into training pipelines and production systems
Measure and track experimentation velocity, the number and quality of validated experiments per quarter
Contribute to research planning and help define the technical roadmap alongside the Engineering Manager and Tech Lead
Document research findings and communicate technical progress to the broader team
Must Have
2+ years of hands-on ML research experience in industry, academia, or research labs
Demonstrable track record of designing and conducting ML experiments from hypothesis to validation
Proficiency in Python for ML research and experimentation
Deep expertise with PyTorch or TensorFlow for model development
Experience training and evaluating ML models on real datasets
Understanding of model evaluation metrics, experimental design, and statistical validation
Familiarity with data preprocessing, augmentation, and management for ML workflows
Experience presenting research findings to technical audiences
Nice To Have
Expertise in real-time inference, model optimization, or efficient architectures
Experience with self-supervised learning, few-shot learning, or foundation models
Background in multimodal learning combining vision, audio, and sensor data
Contributions to open-source ML projects or released research code
Experience collaborating with engineers to productionize research outcomes
Familiarity with ML Engineering practices: training pipelines, experiment tracking, MLOps
Background in edge computing, on-device ML, or resource-constrained environments
Experience with sensing technologies: cameras, microphones, IMUs, or haptic systems
Knowledge of privacy-preserving ML, federated learning, or on-device data processing
We Offer
Competitive compensation package.
Flexible working hours and vacation policy.
Product-driven culture that treasures talents and individual growth.
Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field
Nex is located in
San Jose, California, USA
and
Hong Kong
. Learn more about us at
https://www.nexplayground.com/about
.
We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms!
Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination.
We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping state and local government agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
Support customers building with Claude Code, the Claude API, and Claude for Enterprise
Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel frequently to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
You may be a good fit if you have:
Must have prior experience working with US federal, state, and/or local agencies
5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
Experience navigating complex buying cycles involving multiple stakeholders
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Familiar with Python
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
About the role:
As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping federal civilian agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
Support customers building with Claude Code, the Claude API, and Claude for Enterprise
Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel frequently to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
You may be a good fit if you have:
Security clearance not required, but a plus
Must have prior experience working with US federal agencies
5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
Experience navigating complex buying cycles involving multiple stakeholders
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Familiar with Python
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
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:
$275,000
—
$315,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: 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 Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping systems integrators, startups, and other GovTech companies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
Support customers building with Claude Code, the Claude API, and Claude for Enterprise
Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel frequently to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
You may be a good fit if you have:
US Secret Clearance preferred for working with defense tech customers
Prior work in government, government contracting, or government tech preferred
5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
Experience navigating complex buying cycles involving multiple stakeholders
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Familiar with Python
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
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:
$275,000
—
$315,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: Portugal
Paired is a global recruiting agency that pairs remote work with top-tier talent. We help individuals from around the world connect with great companies that are looking for their specific skill set. Our mission is to provide great jobs to talented people, no matter where they are located.
About Our Clients
Our client is the founder of a Dubai-based agency operating in a fast-paced international environment. The founder moves fast, communicates directly, and has very high standards. The right person for this role genuinely enjoys operating in high-responsibility environments and takes pride in making chaos look effortless.
This role is for someone who is naturally proactive, highly organized under pressure, emotionally steady, and extremely responsive. You will be managing personal logistics, travel, scheduling, household coordination, and lifestyle operations with minimal oversight.
If you need step-by-step instructions, frequent check-ins, or structured corporate environments,
this role will not be a fit.
Responsibilities
Coordinate personal travel arrangements including flights, accommodations, transportation, restaurant reservations, and itineraries
Manage personal scheduling including medical appointments, fitness sessions, grooming, and other lifestyle commitments
Handle visa renewals, residency documentation, licenses, and other personal administrative requirements proactively
Coordinate household-related operations including vendors, maintenance, deliveries, installations, repairs, and property-related communication
Manage personal errands, sourcing requests, returns, exchanges, and gift procurement
Communicate with external stakeholders including accountants, lawyers, building management, concierge services, and vendors
Handle time-sensitive and last-minute logistical requests efficiently
Maintain accurate calendar management across different time zones
Anticipate problems before they arise and execute solutions independently
Ensure a high level of confidentiality, professionalism, and discretion at all times
High-Level Execution
Proactively identify and resolve challenges before they arise
Work autonomously and make confident, well-informed decisions swiftly
Communicate with clarity, precision, and professionalism
Uphold the highest standards of discretion and confidentiality consistently
Remain composed and effective in high-pressure situations
Exude natural assertiveness with a calm and measured approach
Bring extensive experience working remotely over multiple years
Possess in-depth knowledge of the hospitality, luxury, and travel industries
Efficiently coordinate and manage international vendors independently
Requirements
At least 2 years of experience supporting a founder, executive, entrepreneur, or C-level professional
Availability across Dubai and European time zones required
Strong experience working remotely across multiple time zones
Polished, presentable and professional appearance
Socially sophisticated, boasting high emotional intelligence
Proven track record in affluent and high-achieving settings
Must be highly responsive, detail-oriented, and reliable
Excellent spoken and written English with strong communication skills
Strong organizational skills with the ability to manage multiple priorities simultaneously
Highly proactive, resourceful, and capable of operating independently without constant supervision
Comfortable working in a high-responsibility environment with changing schedules and urgent requests
Strong internet research and problem-solving skills
Able to maintain professionalism and composure under pressure
Experience coordinating international travel and lifestyle logistics is highly preferred
Candidates with only junior VA or entry-level administrative experience may not be considered
This Role Is NOT a Fit For:
Junior VAs looking for training
Candidates who require constant direction
People who struggle with urgency or changing priorities
Candidates who prefer highly structured corporate environments
Candidates unavailable outside rigid working hours
Applicants without prior executive/founder support experience
Benefits
Competitive salary.
Work with
fast-scaling, premium brands
Fully remote role
with a dynamic, growth-driven team
Clear opportunities for
career growth and advancement
Location: Colombia; Brazil; Peru
The
Data Center Capacity & Inventory Engineer
owns a single, accurate, and always-current view of the organization's entire data center estate worldwide. The role exists because the biggest infrastructure decisions — where to place workloads, when to expand or consolidate, and how to plan a move — are only as reliable as the underlying data on power, cooling, racks, and space.
That information is typically fragmented across sites, spreadsheets, and providers. This role consolidates it into one authoritative source of truth, keeps it current, and turns it into capacity forecasts, utilization reporting, and move/migration analysis the business depends on. It is accountable for the inventory and operational data of every facility the organization uses — owned, colocation, and edge.
Scope & Context
Global portfolio:
every data center facility across all regions — company-owned and on-premises sites, colocation and wholesale space, and edge or remote equipment rooms.
Physical assets:
racks and cabinets; power (utility feeds, UPS, generators, PDUs, circuits); cooling (CRAC/CRAH, containment, chilled water); floor, cage, and suite space; structured cabling; and environmental monitoring.
Data domains:
inventory, capacity and utilization, contracts and commitments (colo agreements, power and space reservations), and a history of physical changes.
Organizational placement:
reports into infrastructure/IT leadership and partners with networking, cloud, security, procurement, and finance.
Key stakeholders:
site and facilities teams, colocation providers, infrastructure engineering, capacity planning, finance (cost allocation), and the business units requesting space or moves.
Key Responsibilities
Define and enforce how every site records and reports its power, cooling, rack, and space configuration, so data is comparable across the portfolio.
Participate in the the space, power, and cooling analysis behind data center moves, migrations, and consolidations: what fits where, target-site readiness, and the sequencing of each move.
Supply the accurate capacity and utilization data that drives resourcing and planning decisions
Manage capacity risk proactively: identify sites approaching power, cooling, or space limits before they constrain the business.
Uphold resilience, safety, and compliance standards across facilities, including redundancy targets (for example N+1) and disaster-recovery posture.
Inventory, Data & Capacity Management (Core Mandate)
This is the primary purpose of the role: a single, trusted, global source of truth for every data center, kept accurate and current.
Maintain the global inventory and data for all facilities
A complete register of every data center and equipment room, with location, provider, and contracted commitments.
Space:
floor area, cage and suite allocation, rack and cabinet counts, rack-unit (RU) inventory and occupancy, and remaining white space.
Power:
utility feeds and redundancy, UPS and generator capacity, PDU and circuit inventory, provisioned vs. actual draw (kW) per rack, row, and room, and PUE where measured.
Cooling:
cooling capacity and type, containment, redundancy (N, N+1), temperature and humidity envelopes, and thermal headroom.
Racks & assets:
rack elevations, cabinet layouts, and the physical assets each contains, mapped to their power and connectivity.
Turn that data into decisions
Track utilization and remaining headroom for space, power, and cooling at rack, row, room, and site level.
Forecast capacity, flag sites approaching their limits, and recommend expansion, consolidation, or reallocation.
Provide the analysis behind every move and migration — what a target site can support and how a move should be staged.
Produce regular reporting and dashboards for leadership, finance, and planning.
Own the tooling and data quality
Define data standards, naming conventions, and an audit cadence that keep the inventory accurate.
Run periodic physical audits and reconciliations against the recorded data.
Requirements
Proven experience managing data center infrastructure at multi-site or global scale, ideally across a mix of owned and colocation facilities.
Deep, practical understanding of data center power, cooling, and physical space — circuits, PDUs, UPS and generators, redundancy concepts (N, N+1, 2N), cooling systems, and containment.
A demonstrated track record of keeping accurate inventory and capacity data current across many sites.
Experience planning and executing data center moves, migrations, consolidations, or build-outs.
Colocation and vendor management experience — contracts, SLAs, capacity commitments, and cost control.
Strong data and reporting skills: able to turn raw facility data into clear capacity forecasts and dashboards, with advanced spreadsheet skills and comfort using BI or reporting tools.
Experience coordinating work across multiple regions, time zones, and stakeholder groups.
Preferred Qualifications & Certifications
Data center certifications such as Uptime Institute (ATD/ATS), BICSI DCDC, or EPI CDCP/CDCS/CDCE.
Familiarity with specific DCIM platforms (for example Nlyte, Sunbird, Device42, or Hyperview).
Knowledge of relevant standards — Uptime Institute Tier topology, ANSI/TIA-942, and ASHRAE thermal guidelines.
Exposure to hybrid environments (on-premises, colocation, edge, and public cloud) and how physical capacity relates to workload placement.
Awareness of data center sustainability and energy-efficiency practice, including PUE and power reporting.
Benefits
Full Remote
Comfortable working on EST time zone
Contractor
Working equipment provided by the company
Equal Opportunity Employer
PartnerOne is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.
This recruitment process may use automated or artificial intelligence to screen or assess applicants.
This job posting is for an existing vacancy.
Location: Warsaw, Poland; Madrid, Spain; Tbilisi, Georgia; Sofia, Bulgaria; Yerevan, Armenia; Podgorica, Montenegro
CloudLinux
is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful.
Check out our website for more information:
https://cloudlinux.com/
Imunify360
is CloudLinux's security suite for Linux web servers: real-time and background malware scanning, automated cleanup, a WAF, runtime PHP protection (Proactive Defense), a database malware scanner, and IP reputation. It runs on hosting providers' shared, VPS, and dedicated servers, so new web-malware campaigns land on our fleet early.
We sit on one of the largest labeled corpora of live web-server malware in the industry: files, verdicts, cleanup outcomes, and analyst decisions collected from production hosting servers every day. It already drives our signatures, heuristics, and ML models, and there is far more to get out of it. We are looking for a
Senior ML Engineer
who will turn that data into detection that ships — classifiers, LLM-assisted triage and generated signatures — and keep exploring new ML/LLM methods against it, measured by the product's false-negative and false-positive rates, not by notebook accuracy.
Our dataset focuses on web malware — PHP, JavaScript, HTML phishing kits, infected WordPress and Joomla plugins and themes, database injections — with the context around each file.
What you'll work with:
Malware samples from production servers, with verdicts and analyst decisions
Years of signatures and detection rules
Customer-reported false negatives and false positives
Runtime behavior of code on live sites
Web-attack traffic
File metadata and how files spread across servers
Cleanup outcomes, including what came back
What you will do:
The goal is 10x more malware detected at the same or lower false-positive rate. Hand-written rules and faster pipelines will not get there; models trained on our data might.
Decide which files on a server deserve a closer look, within tight CPU and memory budgets
Tell malicious code from benign at fleet scale and a sensible cost per file
Generate detection signatures automatically from new campaigns
Catch malware that only looks malicious in context, such as phishing pages and script injections
Route each file to the right detection engine
Make cleanup precise so sites stay clean afterwards
Prove each model improves detection before it ships
How we work:
You get an experimentation track, GPUs, and a direct line to leadership; in return, you bring numbers, not opinions.
Remote-first, async
across UTC−5 to UTC+8. Decisions are written down (ADR-Lite) and public by default.
Hardware follows evidence:
Each training direction starts with dedicated GPUs on our own bare metal; leadership has committed to fund more when the case is made with data.
Agentic engineering:
Claude and Codex are the default tools, wired to GitLab, Jenkins, Redash, Jira, and Slite through MCP servers. We look at how engineers work with agents — context, specificity, review quality — not only at output.
Close to ground truth:
You work daily with malware analysts, detection and infrastructure engineers, and the rest of our ML team.
Ship gates:
No model or build goes out if it raises false positives or false negatives on our past-error sets. Blameless post-mortems within 24 hours.
What you'll deliver:
You own the path from raw samples to a model in production, and the numbers that prove it helped.
First month:
A first model trained on production data and measured against today's engines — suspicious-file triage or a metadata model. The evaluation harness in place: splits by time and campaign so families don't leak, and a regression set from past FPs and FNs.
By month 3:
Several models in production: some in shadow mode building evidence, some live and producing real detections, all gated on the past-error regression set. A training setup that keeps its GPUs busy. A written proposal (ADR) for the detection cascade, with cost per file and hardware needs.
By month 12:
Models are a main source of new detections, reported as share of new detections and FN-rate trend. Retraining on fresh analyst and FN labels on a fixed cadence. Generated signatures inside the analyst workflow. Two or three parallel training directions that other engineers can run with your tooling.
Requirements
What you bring:
5+ years building ML systems
that ran in production, including
2+ in an adversarial domain:
security, abuse, fraud, or spam.
Y
ou have trained and fine-tuned transformer models yourself
— data preparation, tokenizing code, LoRA/QLoRA or full fine-tunes, distillation, quantization — not only called hosted APIs.
Classic ML depth:
gradient boosting, linear models on sparse features, calibration, class imbalance, and judgement on when these beat an LLM.
Evaluation discipline:
leakage-free splits by time and family, precision at a fixed false-positive budget, regression sets, and an honest account of why production will differ from offline.
Inference cost engineering:
you have measured throughput and latency and made a model fit a CPU or memory budget (ONNX, llama.cpp, vLLM, int8/int4).
Strong Python, PyTorch and the Hugging Face stack; SQL
on large analytical tables (ClickHouse or similar).
Familiarity with PHP or JavaScript
, or willingness to pick it up working with our malware analysts.
You use AI coding agents
daily and can show how.
English at upper-Intermediate (B2) level or higher
, with particularly strong written communication for async work.
It is a strong plus if you have:
Web malware, webshells, phishing kits or WordPress security experience.
Models over code: AST or token features, code LLMs, graph models on program structure.
Malware clustering and similarity analysis.
Multi-GPU training on your own bare metal; MLflow or Weights & Biases; dataset versioning.
Go or Rust, for on-server inference.
Published work or talks on ML for security.
Benefits
What's in it for you?
A focus on professional development.
Interesting and challenging projects.
Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide.
Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves.
Compensation for private medical insurance.
Co-working and gym/sports reimbursement.
Budget for education.
The opportunity to receive a reward for the most innovative idea that the company can patent.
By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy (
https://cloudlinux.com/candidate-privacy-notice
), which provides detailed information on how we maintain and handle your data.
London; We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities
Vilnius; We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
London; We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities
Dublin, IE
ГибридГеография найма не уточнена
ГибридГеография найма не уточнена
ГибридГеография найма не уточнена
ГибридГеография найма не уточнена
УдалённоseniorUnited States; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
УдалённоseniorCanada; Brazil; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
headThat means earning sponsorship from senior sales leadership, equipping frontline managers to coach to the methodology instead of only inspecting for it, and building alongside sellers so the result reflects how deals are really won
Nex employees may be expected to collaborate with colleagues across different time zones
География найма не уточнена
География найма не уточнена
УдалённоPortugal; Maintain accurate calendar management across different time zones; Availability across Dubai and European time zones required; Strong experience working remotely across multiple time zones
УдалённоColombia; Brazil; Peru; Experience coordinating work across multiple regions, time zones, and stakeholder groups; Comfortable working on EST time zone
УдалённоseniorWarsaw, Poland; Madrid, Spain; Tbilisi, Georgia; Sofia, Bulgaria; Yerevan, Armenia; Podgorica, Montenegro; across UTC−5 to UTC+8