Location: Munich
As a key member of the EMEA Revenue Leadership Team reporting directly to the Head of DACH, you will be the strategic leader responsible for shaping, executing, and driving all Enterprise go-to-market (GTM) activities across Germany, Austria and Switzerland. You will lead a high-performing, successful regional sales team that is currently delivering strong results across our key industry verticals, including Manufacturing, Financial Services, Public Sector, Technology/Media/Telecom (TMT), Professional Services (PS), and Retail and CPG.
Partnering closely with leaders across Customer Success, Marketing, Sales Development and Channel, you will own the full-funnel GTM playbook across our Enterprise customer segments. In this role, you will leverage your deep enterprise expertise to cultivate, nurture, and develop this high-growth revenue organization while expanding Asana's market presence throughout the region.
This role is based in our Munich office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements
What you’ll achieve
Build a strong community of customers, partners, and employees across the DACH region.
Develop and execute a comprehensive multi-year strategy for revenue growth and market penetration across our core industry verticals.
Partner with Customer Success to build a tailored customer coverage model that drives both revenue growth and retention across all segments.
Lead, inspire, and collaborate with sales and matrixed teams to establish and operationalize our playbook to fuel pipeline and customer growth.
Hire, nurture, and develop top sales talent, intentionally building clear career paths and succession plans.
Act as a senior executive representative for Asana with C-level customers, prospects, and media across the region.
Create strong feedback loops with the Product team to influence product evolution based on deep customer insights.
Evolve the Account Team Playbook to support enterprise growth, ensuring alignment across SDRs, Sales, Success, and Services.
About you
People Centric leader
Proven experience managing dedicated Enterprise sales teams and successfully hitting revenue targets within an enterprise tech space.
Deep background working within the Enterprise segment, showcasing a strong understanding of complex, high-value procurement and deployment cycles.
Demonstrated experience leading and scaling high-performing Enterprise Sales teams across DACH and EMEA regions.
Track record of navigating and capitalizing on a verticalized sales structure, with familiarity across segments such as Manufacturing, Financial Services, Public Sector, PS, or Retail/CPG.
Proven capability to scale Sales organizations and drive consistent bookings, ARR, and customer growth across commercial and enterprise segments.
Deep experience navigating and executing growth strategies within both product-led and sales-led business models.
Operationally strong with the ability to independently build robust GTM, operating, and talent development plans.
Intellectually curious, analytical, and naturally open-minded with a passion for solving complex regional challenges.
A highly collaborative partner comfortable navigating cross-functional, matrixed environments alongside Product and Marketing teams.
A low-ego leader who builds trust and influence through thoughtful communication and high-quality execution.
Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.
What we’ll offer
Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.
For this role, the On-Target Earnings (OTE) range is €255,000 - €300,000. The total OTE includes a base salary range of €140,250 - €165,000 and performance-based sales incentive pay (based on the terms of the Sales Incentive Plan). These ranges are a guideline; actual base salary and OTE may vary based on various factors, including market and individual qualifications objectively assessed during the interview process, and the ranges for this role may be modified.
In addition, your compensation package may include additional components such as equity and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits.
We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:
Mental health, wellness & fitness benefits
Career coaching & support
Inclusive family building benefits
Long-term savings or retirement plans
In-office culinary options to cater to your dietary preferences
These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.
#LI-Hybrid
About us
Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.
Join Asana’s Talent Network
to stay up to date on job opportunities and life at Asana.
Location: United States; Canada
Workplace: Remote
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
We're looking for a Staff Analyst, GTM Revenue to help our go-to-market leaders make sharper, faster decisions across revenue-critical motions. In this role, you'll partner across Sales, Customer Success, and adjacent customer-facing teams to turn complex data into practical insight, improve how teams operate, and identify where AI and automation can create real leverage.
This is a high-impact opportunity for an analytically rigorous operator who can move comfortably between deep analysis, business partnership, and hands-on execution. You'll help leaders understand what's working, where friction is slowing growth, and how to translate data into better decisions around pipeline, segmentation, productivity, retention, and overall GTM performance.
Mission
Drive clearer, faster, and more scalable GTM decision-making by turning data into actionable insight, operational improvements, and AI-enabled workflows that improve revenue performance and customer outcomes.
The Role
- Partner with GTM leaders to frame business questions, prioritize high-impact analyses, and translate findings into practical recommendations.
- Build and maintain dashboards, reporting layers, and analytical workflows that give stakeholders clear visibility into performance across Sales, Customer Success, and related customer-facing motions.
- Analyze pipeline health, segmentation, conversion, retention, and productivity trends to identify opportunities for growth, efficiency, and better resource allocation.
- Develop forecasting, scenario-planning, and decision-support models that help leaders understand performance drivers and act with confidence.
- Use SQL, Python, and modern analytics tooling to extract, shape, and analyze large datasets from multiple systems.
- Identify repetitive or manual workflows that can be improved through automation or AI-assisted analysis, and help bring those solutions into day-to-day GTM operations.
- Collaborate cross-functionally with partners in Finance, Operations, Systems, and customer-facing teams to ensure data definitions, reporting logic, and recommendations are aligned to business needs.
- Present insights in a concise, executive-ready way, tailoring the level of detail to both technical and non-technical audiences.
Qualifications
- 5+ years of experience in analytics, strategy & operations, revenue operations, business intelligence, or a similar role supporting go-to-market teams.
- Advanced proficiency in SQL and Python, with strong judgment around how to use each for analysis, automation, and scalable reporting.
- Strong experience building dashboards, analytical models, and KPI frameworks that influence business decisions.
- Demonstrated success supporting Sales, Customer Success, Revenue Operations, or comparable GTM functions in a SaaS or other fast-moving technology environment.
- Strong business acumen with the ability to connect data trends to customer, commercial, and operational outcomes.
- Excellent communication skills, including the ability to simplify complex analysis and influence cross-functional stakeholders.
- Proven ability to work independently in ambiguous environments, manage multiple priorities, and deliver high-quality work with speed and reliability.
Desirable
- Experience applying AI or machine learning to business problems such as segmentation, prioritization, forecasting support, or workflow automation.
- Familiarity with modern BI and visualization tools such as Looker, Tableau, or similar platforms.
- Experience working in a high-growth, multi-motion SaaS business where GTM teams need both strategic insight and operational rigor.
- Comfort partnering with senior leaders on ambiguous questions that require both analytical depth and strong business judgment.
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Privacy Notice
ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice
If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details.
Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
Fraud Alert
ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.
AI Processing Notice
ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.
Location: San Francisco
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Program Manager for the Legal Engineering organization, you will be joining Harvey's Legal Engineering organization to drive the operational infrastructure that enables one of the company's fastest-growing GTM functions to scale effectively. The Legal Engineering team partners directly with the world's leading law firms and professional services providers to deploy AI-powered solutions, and this role ensures that the programs, processes, and systems underpinning the team operate with rigor and consistency. You will partner with Legal Engineering managers, Sales Operations, Product, and leadership to translate strategic priorities into executable programs that drive measurable outcomes. It is a rare opportunity to build program management from the ground up within a high-growth function at the intersection of AI and legal services.
WHAT YOU'LL DO
- Design and execute end-to-end programs that support the Legal Engineering team's operational rhythm.
- Build and maintain the processes, tooling, and documentation that enable Legal Engineering managers to operate consistently across regions (US, EMEA, APAC).
- Drive change management initiatives as the Legal Engineering organization scales, ensuring smooth adoption of new processes and tools.
WHAT YOU HAVE
- 4–7 years of experience in program management, operations, or enablement within a high-growth technology or professional services environment.
- Demonstrated ability to design and deliver cross-functional programs from concept through execution, managing multiple stakeholders and competing priorities.
- Strong communication and facilitation skills with the ability to influence without authority across a distributed organization.
- Experience with change management, process design, and operational scaling in fast-paced environments.
- Comfort with ambiguity and a bias toward action—able to build structure where none exists and iterate quickly.
- Familiarity with GTM functions, legal technology, or AI products is a strong plus.
COMPENSATION
$155,100-$232,700 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-LS1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Americas Remote
Hi, I'm Paul, VP of Engineering at
Customer.io
. We're always looking for thoughtful, driven Engineering Managers to add to our org. Some of our teams are building customer-facing product and workflows; others keep our distributed systems reliable, observable, and ready to scale. Whichever kind of problem energizes you, if you lead people well, hold a high technical bar, and drive work to completion without waiting to be handed a plan, we want to hear from you.
About
Customer.io
Over 9,000 companies—from scrappy startups to global brands—use our platform to send billions of emails, push notifications, in-app messages, and SMS every day.
Customer.io
powers automated communication that people actually want to receive.
We help teams send smarter, more relevant messages using real-time behavioral data—what people do or don't do inside a web or mobile app. Under the hood: Go, React, and AI help us ship fast and scale with confidence.
What we value
Ownership.
You set direction and see initiatives through. You create clarity when things are murky and set the path forward rather than waiting for one to be defined, and you're motivated by impact—not just intention. You hold yourself and your team accountable to shipping, not just staying busy.
Leaders who can do both.
You operate at the strategic level and stay close to the technical work. You can align stakeholders on a plan and earn your engineers' respect in the same day—you don't choose between vision and execution, you hold both.
A drive to execute through resistance.
Competing priorities, skeptical stakeholders, tired teams—you've moved work forward anyway. You name the resistance, make the call, and own the milestones and the misses.
An AI-first mindset.
AI is central to how you build and how you lead your team to build. You have a real, concrete point of view on AI-native development, you use agentic tooling yourself, and you bring it into how your squad operates.
A healthy skepticism for "the way things are done."
You bring rigor and pragmatism. Best practices matter—but never more than forward motion. You know when to build, when to buy, and when to wait—and you're comfortable making the call with incomplete information, then adjusting as you learn.
What you'll do
Care deeply about our customers and their outcomes
Lead your squad to deliver real customer value by owning projects end to end—from planning through delivery, quality, and follow-through
Drive execution: set milestones, keep work moving through ambiguity and competing priorities, and
ship in small, observable increments rather than waiting for a release window
Make confident decisions when the path isn't obvious, and lead your team through them
Set the operating rhythm that helps your team move fastest, rather than defaulting to ceremony for its own sake
Ensure your squad's solutions are scalable, architecturally sound, flexible, and secure, with strong peer-review, QA, documentation, deployment, logging, and monitoring practices
Stay close to the work—jump into design reviews, architecture calls, and incidents rather than watching from a distance
Provide direct, timely, and specific coaching, and create meaningful development opportunities for your direct reports
Participate in an on-call rotation as required, supporting the reliability of the systems you build
Hire, onboard, and manage performance so the right people are in place to hit your squad's goals
Bring an AI-native perspective—use AI tools to accelerate the team's velocity and help everyone prototype faster and ship smarter
Partner across engineering and other departments to align efforts with customer success, and reach higher when our customers are having a bad day
What we're looking for
3+ years managing engineers at a SaaS company (B2B or B2C), ideally early-to-mid-stage
A track record of driving execution—concrete delivery outcomes with milestones, dates, and "I drove" ownership, especially in complex or fast-moving environments
A strong technical background—you can hold your own in architecture conversations and design reviews, represent your squad's technical choices across the company, and you've shipped real work recently enough to stay credible
Comfort operating with high autonomy and little prescribed structure—you create your own clarity and make difficult tradeoffs between competing priorities
Demonstrated AI-native leadership—not just personal fluency, but bringing AI-first practices into how your team builds
Experience building high-performing, inclusive, and collaborative teams
Clear, concise, and direct communication, both verbal and written
Compensation & Benefits
We believe in transparency. Starting salary for this role is $185,000-$215,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build.
We know our people are what make us great, and we're committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including
100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family
. We also offer
16 weeks paid parental leave
,
unlimited PTO
, stipends for remote work and wellness, a professional development budget, and more.
See full benefits here →
Our Process
No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.
Application
- We review everyone with care.
Recruiter Call (30 mins)
- Let's chat about what you're looking for, your leadership style, and how we work.
Hiring Manager Interview (60 mins)
- Deep dive into your experience leading teams, your technical philosophy, and how you think about building organizations.
People Partner Interview (30 mins)
- Explore your leadership style, management philosophy, and approach to supporting high-performing teams with our engineering people partner.
Technical Interview (60 mins)
- Engage in a collaborative system design conversation focused on scaling challenges.
Take-Home Assignment
- Submit a short written retrospective on a project you’ve led as an Engineering Manager.
Retrospective Review Call (60 mins)
- We’ll use your written submission as the foundation for a deeper conversation.
All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.
Location: Latvia
Workplace: Remote
Location: Remote (Europe Time Zone)
Start date: ASAP
Language: English
Team: AI
ABOUT THE ROLE
Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product.
The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale.
This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders.
WHAT YOU'LL DO
- Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management.
- Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans.
- Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure.
- Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity.
- Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems.
- Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers.
- Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions.
- Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy.
WHAT WE'RE LOOKING FOR
- 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher.
- Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization)
- Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment.
- Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar).
- Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.”
- Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments.
- Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders.
- Experience owning production systems, including reliability and incident response, is a plus.
WHY THIS ROLE MATTERS FOR YOU
- Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on
- High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships
- Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions
- Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment
- Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale
- Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization
- Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise
- Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
Location: Türkiye
Workplace: Remote
Location: Remote (Europe Time Zone)
Start date: ASAP
Language: English
Team: AI
ABOUT THE ROLE
Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product.
The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale.
This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders.
WHAT YOU'LL DO
- Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management.
- Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans.
- Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure.
- Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity.
- Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems.
- Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers.
- Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions.
- Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy.
WHAT WE'RE LOOKING FOR
- 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher.
- Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization)
- Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment.
- Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar).
- Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.”
- Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments.
- Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders.
- Experience owning production systems, including reliability and incident response, is a plus.
WHY THIS ROLE MATTERS FOR YOU
- Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on
- High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships
- Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions
- Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment
- Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale
- Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization
- Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise
- Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
Location: Armenia
Workplace: Remote
Location: Remote (Europe Time Zone)
Start date: ASAP
Language: English
Team: AI
ABOUT THE ROLE
Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product.
The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale.
This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders.
WHAT YOU'LL DO
- Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management.
- Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans.
- Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure.
- Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity.
- Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems.
- Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers.
- Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions.
- Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy.
WHAT WE'RE LOOKING FOR
- 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher.
- Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization)
- Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment.
- Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar).
- Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.”
- Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments.
- Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders.
- Experience owning production systems, including reliability and incident response, is a plus.
WHY THIS ROLE MATTERS FOR YOU
- Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on
- High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships
- Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions
- Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment
- Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale
- Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization
- Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise
- Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
Location: Romania
Workplace: Remote
Location: Remote (Europe Time Zone)
Start date: ASAP
Language: English
Team: AI
ABOUT THE ROLE
Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product.
The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale.
This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders.
WHAT YOU'LL DO
- Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management.
- Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans.
- Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure.
- Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity.
- Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems.
- Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers.
- Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions.
- Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy.
WHAT WE'RE LOOKING FOR
- 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher.
- Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization)
- Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment.
- Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar).
- Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.”
- Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments.
- Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders.
- Experience owning production systems, including reliability and incident response, is a plus.
WHY THIS ROLE MATTERS FOR YOU
- Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on
- High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships
- Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions
- Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment
- Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale
- Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization
- Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise
- Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
Location: Dublin, Ireland
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
This early-career Notino Experience Program Manager role is for a builder who thrives in ambiguity and turns it into momentum. You’ll wear many hats across the People team, but your core job is to jump in, chart the path, and drive high-impact projects based on business priorities—bringing clarity, aligning cross-functional partners, and executing quickly so the team can deliver meaningful employee experiences across EMEA and APAC.
You’ll succeed here if you’re deeply curious, eager to grow, and excited to hone your craft in People. This is a launchpad opportunity to learn from strong leaders, build expertise across the full spectrum of People work, and help shape moments that matter—bringing energy, optimism, and genuine care for people while helping build a workplace where everyone can do the best work of their careers.
As the regional anchor for how Notion’s global people & environment programs come to life outside the U.S., you’ll sit at the intersection of global vision and local execution. Based in Dublin and reporting to the Notino Experience & Environment Lead for APAC & EMEA, you’ll partner closely with the Global Experience Programs team in AMER and environment teams across Dublin, Sydney, Tokyo, Seoul, and Hyderabad—translating global programs into locally relevant, high-quality experiences and building the operational infrastructure to deliver them consistently at scale.
We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Own regional program operations. Take end-to-end ownership of key people programs across EMEA and APAC — from onboarding and performance cycles to engagement surveys and talent retention initiatives. You'll research, plan, launch, and iterate.
- Bridge global and local. Act as the connective layer between the Global Experience Programs team and on-the-ground environment teams. You'll translate global frameworks into locally relevant experiences.
- Build the infrastructure. Create processes, playbooks, and agents that make local execution easier and more consistent across markets. Think onboarding workflows, program calendars, and repeatable delivery frameworks.
- Elevate Affinity Groups. Partner with Affinity Group leads across the region to strengthen their programmes, provide operational support, and help surface retention and engagement insights from within those communities.
- Use data to drive decisions. Build and maintain dashboards that track program health, adoption, and outcomes. Use what you learn to run experiments, course-correct quickly, and demonstrate ROI.
- Partner cross-functionally. Work closely with People Partners, NoE , Recruitment and business leaders to align people programs with organisational goals and ensure an inclusive, well-supported employee experience.
- Champion the Notion Experience. Help craft and bring to life a more distinct Notino Experience brand across EMEA and APAC — reimagining how we work, how we connect, and what it feels like to be a Notino in your region.
SKILLS YOU'LL NEED TO BRING:
- Programatic: experience running people programs end-to-end, across multiple markets & time zones.
- AI-native mindset: you’re “AI‑pilled” in the best way: you proactively use AI tools to speed up research, ops, and communication, and you’re excited to build AI agents/playbooks.
- Project management: strong skills and the ability to hold many moving pieces.
- Stakeholder trust: you build trust naturally across levels, from team members to executive partners.
- Bias toward action: you’re resourceful, scrappy when needed, and energised by a fast-moving environment.
- Change management: experience driving change at a high-growth company — you know how to bring people along, not just roll things out.
- Executive presence: you’re comfortable presenting to and partnering with senior leaders.
NICE TO HAVES:
- Familiarity with or enthusiasm for Notion
- Experience working across APAC and EMEA markets, with an understanding of cultural nuance in employee experience.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €45,000 - €70,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: Budapest
The Wow
This role sits at the heart of our real-time data platform, empowering teams to build, deploy, and scale data products that drive critical business decisions and customer experiences.
You will design, develop, and operate the core platform capabilities that power streaming data pipelines, event-driven applications, and self-service data products. Working at the intersection of software engineering and data engineering, you will create scalable frameworks, tooling, and developer experiences that enable our teams to deliver reliable solutions with speed and confidence.
A taster of what you will be involved with:
Design and build scalable, reusable frameworks and services
for data ingestion, transformation, and processing.
Develop and maintain the platform's core capabilities, such as orchestration, data quality validation, and schema management tools.
Evolve the platform's architecture to incorporate new technologies that improve scalability, reliability, and cost-effectiveness.
Collaborate with Data DevOps Engineers to ensure platform features are automated, observable, and deployed via CI/CD.
Act as a key contributor to the platform's roadmap, identifying and prioritizing features that unlock the most value for its users.
What we are looking for:
Must haves:
University Degree in Computer Science, Engineering or equivalent.
At least 3 years of hands-on experience building and operating real-time or event-driven data platforms and streaming applications.
Strong software engineering fundamentals, with experience in a language like Python, Scala or Java.
Experience building reusable frameworks, libraries, or internal tools.
Deep knowledge of SQL
and data integration patterns. Experience in modern cloud database technologies such as Snowflake or Redshift are considered an asset.
Experience with data streaming technologies such as Kafka is a must.
Strong experience building distributed data processing workloads using Apache Spark (PySpark and/or Scala).
Hands-on experience designing and operating event-driven architectures on AWS, including services such as MSK, Kinesis Data Streams, EKS, EMR, Lambda, and EventBridge.
Experience in NoSQL databases such as HBase, Cassandra, and DynamoDB.
Excellent verbal and writing English communication skills.
Nice to have:
Familiarity with real time reporting tools like Grafana or Datadog
Familiarity with Data Modelling Concepts like Inmon, Kimball and Data Vault
Knowledge AWS services like Glue, Lambda, Step Functions and S3
Experience with orchestrating data pipelines using tools like Airflow.
Experience building or managing APIs and microservices.
Familiarity with infrastructure scripting like Terraform
and CI/CD practices.
What we offer
Fitness-wellness allowance
🧗♂️
Company mobile phone for private use with 100 GB
📱
Annual HUF devaluation compensation
💡
Hybrid model: 3 days in the office 🏢
& 2 days from home
🏠
Private Health Insurance
🩺
Career development
📈
Technical and soft-skill training opportunities 🎓
Breakfast, fruits & lunch 🍎
Team building events
🥳
Challenge accepted?
By submitting your application, you understand that your personal data will be processed as set out in our
Privacy Policy
Location: Malta
The Wow
This role sits at the heart of our real-time data platform, empowering teams to build, deploy, and scale data products that drive critical business decisions and customer experiences.
You will design, develop, and operate the core platform capabilities that power streaming data pipelines, event-driven applications, and self-service data products. Working at the intersection of software engineering and data engineering, you will create scalable frameworks, tooling, and developer experiences that enable our teams to deliver reliable solutions with speed and confidence.
A taster of what you will be involved with:
Design and build scalable, reusable frameworks and services
for data ingestion, transformation, and processing.
Develop and maintain the platform's core capabilities, such as orchestration, data quality validation, and schema management tools.
Evolve the platform's architecture to incorporate new technologies that improve scalability, reliability, and cost-effectiveness.
Collaborate with Data DevOps Engineers to ensure platform features are automated, observable, and deployed via CI/CD.
Act as a key contributor to the platform's roadmap, identifying and prioritizing features that unlock the most value for its users.
What we are looking for:
Must haves:
University Degree in Computer Science, Engineering or equivalent.
At least 3 years of hands-on experience building and operating real-time or event-driven data platforms and streaming applications.
Strong software engineering fundamentals, with experience in a language like Python, Scala or Java.
Experience building reusable frameworks, libraries, or internal tools.
Deep knowledge of SQL
and data integration patterns. Experience in modern cloud database technologies such as Snowflake or Redshift are considered an asset.
Experience with data streaming technologies such as Kafka is a must.
Strong experience building distributed data processing workloads using Apache Spark (PySpark and/or Scala).
Hands-on experience designing and operating event-driven architectures on AWS, including services such as MSK, Kinesis Data Streams, EKS, EMR, Lambda, and EventBridge.
Experience in NoSQL databases such as HBase, Cassandra, and DynamoDB.
Excellent verbal and writing English communication skills.
Nice to have:
Familiarity with real time reporting tools like Grafana or Datadog
Familiarity with Data Modelling Concepts like Inmon, Kimball and Data Vault
Knowledge AWS services like Glue, Lambda, Step Functions and S3
Experience with orchestrating data pipelines using tools like Airflow.
Experience building or managing APIs and microservices.
Familiarity with infrastructure scripting like Terraform
and CI/CD practices.
What we offer
Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.
Challenge accepted?
By submitting your application, you understand that your personal data will be processed as set out in our
Privacy Policy
Location: Singapore
Workplace: onsite
About Unlimit
Unlimit is the global financial infrastructure for the borderless agentic economy. Designed to bridge the gap between fragmented local markets and the future of autonomous commerce, Unlimit provides the programmable operating layer for the world’s most ambitious businesses.
Through an integrated technology stack, the platform unifies global payment acceptance, programmable financial accounts, and digital asset rails into a singular financial layer. By mapping hyper-local payment ecosystems directly into its architecture, Unlimit enables businesses to move value and settle transactions instantly across continents.
Built on decades of hard-won regulatory depth and an extensive global license portfolio, the platform provides direct access to a massive global infrastructure. With major hubs in London, San Francisco, Singapore, São Paulo, and Mexico City, Unlimit is building the infrastructure that makes global expansion a matter of code, not geography.
The Role
We are launching a high-intensity lead generation initiative to accelerate merchant acquisition for our acquiring and banking business.
This role is ideal for a highly motivated field sales professional who thrives in a fast-paced, field-based environment driven by volume, relationship-building, and measurable results.
You will be responsible for developing referral partnerships, generating new business opportunities, and serving as the primary representative within your assigned territory.
Key Objectives:
Secure signed referral agreements with agents and partners to generate a high volume of new business opportunities.
Drive a consistent referral pipeline of newly incorporated companies through targeted monthly acquisition goals.
Maintain regular face-to-face engagement with assigned agents and referral partners.
Increase awareness and adoption of the company's acquiring and banking solutions among partners.
Achieve acquisition and referral activation KPIs through effective relationship management and conversion strategies.
Responsibilities:
Identify, engage, and onboard referral partners, including agents, corporate service providers, and incorporation intermediaries.
Negotiate and close referral agreements to expand the partner network.
Build and maintain long-term relationships with partners to maximize referral activity and business growth.
Deliver compelling presentations on acquiring and banking solutions to prospective partners and merchants.
Drive merchant acquisition through referrals and direct business development efforts.
Collect market feedback and partner insights to support business improvements.
Maintain accurate CRM records of meetings, agreements, referrals, and sales activities.
Track performance against acquisition, activation, and conversion targets.
Continuously engage partners to ensure strong activation rates and sustained referral flow.
Requirements:
Previous experience in field sales.
Proven success in high-volume customer acquisition or lead generation environments.
Experience working with brokers, agents, distributors, referral networks, or channel partners is highly advantageous.
Demonstrated ability to build trust and develop business relationships quickly.
High resilience, self-motivation, and comfort operating in a target-driven environment.
Ability to manage multiple partner relationships while maintaining attention to detail.
Comfortable following structured sales processes and outreach strategies.
Adaptable and capable of working independently in a dynamic environment.
Join Unlimit Team now!
Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.
Location: Hong Kong; Singapore
Workplace: onsite
About Unlimit
Unlimit is the global financial infrastructure for the borderless agentic economy. Designed to bridge the gap between fragmented local markets and the future of autonomous commerce, Unlimit provides the programmable operating layer for the world’s most ambitious businesses.
Through an integrated technology stack, the platform unifies global payment acceptance, programmable financial accounts, and digital asset rails into a singular financial layer. By mapping hyper-local payment ecosystems directly into its architecture, Unlimit enables businesses to move value and settle transactions instantly across continents.
Built on decades of hard-won regulatory depth and an extensive global license portfolio, the platform provides direct access to a massive global infrastructure. With major hubs in London, San Francisco, Singapore, São Paulo, and Mexico City, Unlimit is building the infrastructure that makes global expansion a matter of code, not geography.
The Role
We are launching a high-intensity lead generation initiative to accelerate merchant acquisition for our acquiring and banking business.
This role is ideal for a highly motivated field sales professional who thrives in a fast-paced, field-based environment driven by volume, relationship-building, and measurable results.
You will be responsible for developing referral partnerships, generating new business opportunities, and serving as the primary representative within your assigned territory.
Key Objectives:
Secure signed referral agreements with agents and partners to generate a high volume of new business opportunities.
Drive a consistent referral pipeline of newly incorporated companies through targeted monthly acquisition goals.
Maintain regular face-to-face engagement with assigned agents and referral partners.
Increase awareness and adoption of the company's acquiring and banking solutions among partners.
Achieve acquisition and referral activation KPIs through effective relationship management and conversion strategies.
Responsibilities:
Identify, engage, and onboard referral partners, including agents, corporate service providers, and incorporation intermediaries.
Negotiate and close referral agreements to expand the partner network.
Build and maintain long-term relationships with partners to maximize referral activity and business growth.
Deliver compelling presentations on acquiring and banking solutions to prospective partners and merchants.
Drive merchant acquisition through referrals and direct business development efforts.
Collect market feedback and partner insights to support business improvements.
Maintain accurate CRM records of meetings, agreements, referrals, and sales activities.
Track performance against acquisition, activation, and conversion targets.
Continuously engage partners to ensure strong activation rates and sustained referral flow.
Requirements:
Previous experience in field sales.
Proven success in high-volume customer acquisition or lead generation environments.
Experience working with brokers, agents, distributors, referral networks, or channel partners is highly advantageous.
Demonstrated ability to build trust and develop business relationships quickly.
High resilience, self-motivation, and comfort operating in a target-driven environment.
Ability to manage multiple partner relationships while maintaining attention to detail.
Comfortable following structured sales processes and outreach strategies.
Adaptable and capable of working independently in a dynamic environment.
Join Unlimit Team now!
Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.
Location: New York
Workplace: Hybrid
Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A.
We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier.
If you want to do the best work of your career, this is the right place.
ABOUT THE ROLE
Our Marketing team shapes how the world sees and experiences Attio. We think strategically, move fast, and obsess over quality—from acquisition to brand to product marketing. We experiment constantly, craft clear narratives, and focus relentlessly on what drives growth.
We’re looking for a Demand Generation Lead to own one of Attio’s most important growth opportunities: building the demand engine that helps us win larger customers.
You’ll lead our demand generation strategy across mid-market and enterprise accounts. Working closely with Sales, SDRs, Product Marketing, Growth Marketing, and Studio, you’ll build and scale our account-based marketing motion, lead field marketing initiatives, define our lead qualification strategy, and create the programmes that consistently generate qualified pipeline.
This is a hands-on, high-impact role suited to someone who combines strategic thinking with exceptional execution. You’ll be responsible for standing up new programmes, partnering closely with Sales, and continuously optimising how demand is generated, nurtured, and converted into pipeline as Attio continues to scale.
WHAT YOU’LL DO
Demand generation: Own Attio’s demand generation strategy, delivering integrated campaigns that generate qualified pipeline across mid-market and enterprise accounts.
Account-based marketing: Build and scale our ABM programme, partnering closely with Sales to engage high-value target accounts.
Field marketing: Plan and execute events, executive dinners, roundtables, and other in-person experiences that accelerate pipeline and strengthen customer relationships.
Lead management: Own lead qualification, scoring, nurture programmes, and sales handoff processes to maximise conversion throughout the funnel.
Sales partnership: Work closely with Sales and SDRs to align on pipeline goals, enable account engagement, and continuously improve campaign performance.
Performance optimisation: Measure campaign effectiveness, uncover insights, and continually experiment to improve pipeline generation and marketing ROI.
WHAT YOU’LL BRING
Demand generation expertise: A proven track record of building and scaling demand generation or account-based marketing programmes that drive measurable pipeline growth within B2B SaaS.
Strategic ownership: Experience operating in a senior, high-autonomy role, building new marketing programmes and influencing cross-functional stakeholders.
Marketing operations: Strong understanding of lead scoring, qualification frameworks, funnel management, and sales handoff processes.
Commercial mindset: Strong analytical skills, with the ability to use data to inform decisions and optimise marketing performance.
Cross-functional collaboration: Experience partnering effectively with Sales and SDR teams around shared pipeline goals.
Executional excellence: Excellent project management and organisational skills, with the ability to manage multiple initiatives in a fast-paced environment.
WHAT WE OFFER
- US benefits
- Competitive salary of $185,000 - $225,000
- Equity in an early-stage tech company on an incredible trajectory
- 25 days holiday plus local public holidays
- Apple hardware
- Medical, dental, and vision coverage through Sequoia One
- 401K
- Enhanced family leave
- Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)
WHAT DOES THE HIRING PROCESS LOOK LIKE?
- Initial conversations
- 30-minute intro with a member of our Talent team
- 30-minute track record interview with our VP Marketing
- Core interviews
- A set of working sessions exploring your approach to demand gen and ABM strategy, pipeline and MQL thinking, and values alignment
- Final stage
- 30-minute closing conversation with a member of our leadership team
- Offer call (if it's a mutual fit)
Location: Kuala Lumpur, Malaysia
About Us
Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.
Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.
Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.
About the Role
We're looking for a Senior Product Manager to join our Platform Product team, working on mission-critical systems that power our global infrastructure. Depending on your background and strengths, you'll focus on one or more of the following areas:
Compliance & Regulatory Products
— Translating global regulatory frameworks (MiCA, VASP, MAS) into scalable product solutions; KYC/AML systems; market launch and business migration
User Account & Identity
— Account architecture, authentication, security & risk control, user lifecycle management
Fund & Asset Infrastructure
— Deposit/withdrawal systems, unified trading accounts, multi-chain asset management, RWA integration
AI-Powered Products
— LLM/RAG/Agent applications for customer-facing and internal efficiency use cases
Key Responsibilities
Define product strategy and roadmap for platform-level systems serving millions of global users
Translate complex business, regulatory, or technical requirements into clear product specifications
Drive cross-functional execution across engineering, design, compliance, and operations
Own end-to-end product delivery from discovery through launch and iteration
Build scalable product frameworks that balance user experience, security, and regulatory requirements
Requirements
7+ years of product management experience, with 3+ years in relevant domains (compliance, account systems, payments/funds, or AI products)
Background in crypto exchanges, fintech, brokerage, or large-scale internet platforms
Strong systems thinking — comfortable with architecture-level product design
Proven ability to ship complex, cross-functional products in fast-moving environments
Excellent English communication skills for global stakeholder engagement
Data-driven decision making with strong analytical skills
Preferred Qualifications
Experience at leading crypto platforms or top-tier fintech/brokerage firms
Track record of 0-to-1 product launches in regulated or high-security environments
Understanding of blockchain infrastructure, multi-chain architecture, or on-chain asset management
Experience with LLM/AI product development and deployment at scale
Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment.
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.
Location: Boston, MA
About Us
Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, Ohio, Kentucky, Mississippi, and Georgia. Ennoble Care’s clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, “To Care is an Honor.” Join Ennoble Care today!
Purpose:
We are looking for an experienced Nurse Practitioner to provide primary care to homebound and palliative care patients in the Boston, MA
region. You will apply medical techniques and principles under the supervision of a physician, and you will care for a diverse set of patients with chronic diseases.
What You'll Do:
Provide high quality care to primary and palliative patients in and around Boston, MA
Assess patient's health by performing physical examinations; obtaining, updating, and studying medical histories and creating the best plan for care.
Effectively communicate with office staff and clinical operations across various internal platforms
Provide high quality, patient centered care to a panel of patients
Attend quarterly medical staff meetings
Develop impressions, diagnosis, and treatment plans
Foster trust and consult with patients, families, and caregivers during visits
Order diagnostic testing as medically necessary
Prescribe medications supplies and appropriate medically necessary interventions
What You'll Need:
Board Certified, with a valid NP or PA certification in the state of Massachusetts
Strong clinical skills with the ability to accurately and confidently treat, assess, and diagnose
Positive demeanor and strong people skills
Ability to confidently problem solve and operate independently
1-2 years of primary care experience with geriatric patients (hospice experience highly preferred but not required)
What you'll get:
A flexible schedule - so you can see your patients during a schedule that works for you
Autonomy - so you can feel trusted to provide the best care possible.
Support - from our in-house clinical team with any requests or orders.
Growth - the opportunity to join our growing leadership team
Salary Range:
$140,000+ (depending on experience and other incentives)
#tan
Full-time employees qualify for the following benefits:
Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity.
Paid Time Off
Paid Office Holidays
All employees qualify for these benefits:
Paid Sick Time
401(k) with up to 3% company match
Referral Program
Payactiv: pay-on-demand. Cash out earned money when and where you need it!
Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended.
Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against
protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national
origin, religion, disability, and veteran status.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations:
Austin, TX
Role Summary
As a Product Security Engineer, you will support security assessments and vulnerability operations for Cloudflare’s core software products. In this role, you will analyze system architecture, threat model new features, and ensure that product-related security findings are accurately triaged, routed to the correct engineering owners, and mitigated within our SLAs.
On any given day, you might conduct a deep-dive security review on a new feature design, triage a complex bug bounty submission, or work directly with engineering teams to resolve vulnerabilities from different sources like bug bounties, SAST, fuzzing and penetration tests. You will also work autonomously to identify areas where our manual processes slow down. You will write code and integrate AI/LLM solutions to automate initial triage and data enrichment, building tools that help the team handle security findings at scale. In short, your work will sit at the intersection of Product Security, Vulnerability Operations, and internal AI Tooling. Ideally, you have experience in conducting academic/vulnerability research with a focus on systems security.
Responsibilities
Implement AI Security Solutions:
Identify process bottlenecks and build AI-driven tools or scripts to help automate code analysis, optimize triage, and streamline Product Security workflows.
Security Reviews & Threat Modeling:
Conduct structured security reviews and threat modeling sessions (e.g., STRIDE) across product features, defining security requirements early in the development lifecycle.
Product Vulnerability Management:
Manage the operational lifecycle of product security findings. Ensure vulnerabilities are verified, mapped to the correct engineering owner, and tracked to mitigation in alignment with established SLAs.
Bug Bounty Triage:
Perform the technical triage and validation of Cloudflare’s external Bug Bounty submissions, verifying exploitability and evaluating business risk.
Pentest Coordination:
Support internal and external penetration testing engagements by reviewing findings, clarifying technical context, and assisting development teams with remediation strategies.
Engineering Collaboration:
Partner closely with DevOps and product teams, acting as a reliable security point of contact and helping developers implement secure coding practices.
Desirable Skills, Knowledge, and Experience
Product/AppSec Expertise:
5+ years of experience in Product or Application Security within large-scale distributed cloud environments or SaaS platforms.
Practical AI & Automation Engineering:
Demonstrated ability to build production-grade automation scripts and tools. Must possess hands-on engineering experience leveraging AI/LLMs to solve operational or technical challenges.
Threat Modeling & Risk Analysis:
Competency in threat modeling methodologies and the ability to evaluate code flaws to determine their actual engineering and security impact.
Vulnerability Lifecycle Operations:
Experience tracking, routing, and driving the remediation of software vulnerabilities across engineering groups while working against defined SLAs.
Strong Collaboration & Communication:
Ability to collaborate effectively across teams, clearly communicating technical security risks to software engineers and resolving ownership ambiguity constructively.
Bonus points
Offensive Security Tooling:
Familiarity with modern exploitation techniques, fuzzing frameworks, or automated scanning utilities.
Program Management Experience:
Experience scaling crowdsourced security programs (e.g., HackerOne, Bugcrowd) or optimizing agile project management workflows within JIRA.
Experience in integrating hardware security features into production code bases
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Home based - EMEA
Canonical has re-imagined hiring. We have created a Talent Science team that has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We are not recruiters, but our work connects hiring strategy to performance outcomes. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the selection of world class talent. We lead an effective hiring ecosystem to deliver talent acquisition excellence. We leverage data to enable evidence-based decisions, weaving behavioural science throughout our selection process, working closely with our Hiring Leadership team who drive hiring at Canonical.
Due to the growth of the business we are seeking a set of new leaders to drive delivery excellence. You will work directly with the Global Head of Talent Science to plan and drive work within the team against our strategic objectives. With overall accountability for project delivery relating to hiring outcomes you will drive efficiencies and create new processes whilst coaching and developing team members to grow their careers.
You will bring an analytical and objective approach to work and be seasoned in making data driven decisions relating to talent outcomes. Your experience will include being able to plan and lead project roadmaps, experience interacting with senior leadership on talent related topics leveraging your thought leadership experience and the ability to influence and steer talent agendas internally. You will be capable of stepping up to lead the function when required.
Location:
This role will be based remotely in the EMEA region.
The role entails
Leading and delivering the strategic Talent Science project roadmap using exceptional project management capability and influencing skills to manage multiple projects at any given time.
Leveraging expertise from your career to date to design and implement solutions to complex problems that ultimately ensure we hire exceptional talent.
Ensuring all talent selection initiatives map to high performance outcomes and career frameworks.
Designing professional processes and frameworks, allowing efficient delivery of our agenda.
Coaching and mentoring team members to grow and develop skill sets specifically around analytical capabilities and thought leadership, developing training materials and documentation to support team members.
Driving and representing the team in the absence of the Head of, acting as a credible and trusted adviser and an inspiring leader.
Working closely with company leaders to understand, appreciate and communicate our vision for talent at Canonical.
What we are looking for in you
Exceptional academic track record from both high school and university, with an undergraduate degree in a psychology or people based subject.
A track record of team leadership in a talent function from the technology or consulting industry, with exceptional project management, to lead roadmap execution and delivery.
Deep understanding of talent selection, with a technological mindset to create automation's and products to drive hiring efficiencies.
Advanced analytical ability to dissect and analyse data, using either SQL, Python and/or statistical analysis.
Exceptional written and spoken English with strong presentation skills for a senior audience.
Ability to travel internationally 2-4 times a year for company events.
Nice-to-have skills
Advanced psychometric assessments with an excellent understanding of the marketplace and vendors
A deep understanding of human behaviour and what drives intrinsic motivation
Experience of using Superset and advanced dashboarding
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues
Priority Pass, and travel upgrades for long haul company events
About Canonical
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing.
Canonical is an equal opportunity employer. We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
УдалённоUnited States; Canada; ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com
ГибридSan Francisco
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УдалённоEngineering Manager - AI Product (100% Remote EMEA); Location: Remote (Europe Time Zone); Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone
УдалённоEngineering Manager - AI Product(100% Remote EMEA); Location: Remote (Europe Time Zone); Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone
УдалённоEngineering Manager - AI Product(100% Remote EMEA); Location: Remote (Europe Time Zone); Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone
УдалённоEngineering Manager - AI Product (100% Remote EMEA); Location: Remote (Europe Time Zone); Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone
Dublin, Ireland; Programatic: experience running people programs end-to-end, across multiple markets & time zones