Location: United States | Miami, USA
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
THE ROLE
Higgsfield AI is seeking a GTM Director – Latin America (LATAM) to lead our commercial growth across the Latin American market.
This is a senior individual contributor role responsible for driving enterprise sales, developing strategic customer relationships, and accelerating Higgsfield's expansion throughout Latin America. You will partner closely with cross-functional teams to introduce the world's leading organizations to the future of AI-powered creative technology.
The ideal candidate has a successful track record selling enterprise software into sophisticated organizations, understands complex buying environments, and is excited to help define the commercial strategy for one of the fastest-growing AI companies in the world.
This position is based in Latin America.
WHAT YOU'LL DO
DRIVE REVENUE GROWTH
- Own the LATAM territory and achieve aggressive revenue targets.
- Develop and execute strategic account plans across enterprise customers.
- Manage full sales cycles from prospecting through negotiation and close.
- Maintain accurate forecasting and pipeline management.
BUILD EXECUTIVE RELATIONSHIPS
- Develop trusted partnerships with executive stakeholders across enterprise organizations.
- Lead strategic customer conversations around AI transformation, creative workflows, and business value.
- Represent Higgsfield at industry events, executive meetings, and customer engagements.
PARTNER CROSS-FUNCTIONALLY
- Collaborate closely with Marketing, Product, Customer Success, Solutions Engineering, and Legal throughout the customer lifecycle.
- Provide customer insights that influence product development and go-to-market initiatives.
- Support customer expansion and long-term account success.
EXPAND HIGGSFIELD'S PRESENCE
- Build Higgsfield's reputation across the Latin American AI, media, advertising, and enterprise technology ecosystem.
- Develop relationships with key industry partners, agencies, channel partners, and strategic influencers across the region.
- Serve as the voice of the LATAM market internally.
WHAT WE'RE LOOKING FOR
- 8–12 years of enterprise SaaS, AI, cloud, MarTech, AdTech, or related technology sales experience.
- Demonstrated success exceeding enterprise revenue targets across Latin America.
- Experience selling to large enterprise organizations with complex procurement and legal processes.
- Strong executive communication, presentation, and negotiation skills.
- Deep understanding of the Latin American enterprise market, including regional business practices and buying dynamics.
- Ability to develop multi-country territory strategies and execute independently.
- Strong collaboration across globally distributed teams.
- Excellent written and verbal communication skills in English and Spanish. Portuguese proficiency is strongly preferred.
- Experience selling AI, generative AI, creative technology, marketing technology, advertising technology, or media platforms.
- Existing relationships with enterprise organizations, agencies, media companies, or strategic partners across Latin America.
- Experience at a high-growth venture-backed startup.
- Familiarity with PLG and enterprise sales models.
- Experience using Salesforce, HubSpot, or similar CRM platforms.
- Must be able to travel.
Compensation & Benefits:
- We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth.
- United States Base Salary: The anticipated salary range for this role is $150,000 – $220,000, depending on experience, skills, scope, and location.
- LatAm Countries Salary: Determined by country.
- Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield AI’s long-term growth.
- Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks.
- The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team.
- Significant ownership, direct impact, and opportunities for professional growth as the company scales.
This is a remote role based in Miami, Florida or in LatAm. Travel will be expected for this position.
Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.
Location: Remote, Canada; Remote, US
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
Site Reliability Engineers keep GitLab's user-facing services and production systems running reliably at scale. They combine software engineering with operational excellence, applying sound engineering principles, automation, and continuous improvement to build, operate, and evolve our production infrastructure.
This is a single application for Site Reliability Engineering opportunities across Infrastructure Platforms. Rather than asking you to choose the right team or level upfront, we evaluate your skills holistically and match you to the opportunity that best aligns with your experience and our hiring needs. We hire Site Reliability Engineers from Intermediate through Senior Staff across multiple Infrastructure Platforms teams.
We don't expect every candidate to have experience with every technology in our environment. We're looking for engineers with strong technical fundamentals, a growth mindset, and the ability to learn quickly. We'll support you in becoming successful with GitLab's tools, systems, and ways of working.
Please note: This position is open to candidates based in the United States and Canada only. Candidates based in the United Kingdom can apply to this posting:
Site Reliability Engineer, Infrastructure Platforms — UK (Intermediate to Senior Staff)
How our SRE hiring works
Because this is a single application for SRE roles across Infrastructure Platforms, our process is built to evaluate you once and match you well, rather than interviewing separately for every team.
Recruiter Screen:
A conversation about your background, what you're looking for, and the level and teams that fit, so we can point your process in the right direction.
Core Technical:
The shared assessment every SRE candidate takes, regardless of eventual team. A low-stress, collaborative discussion covering system architecture and incident review.
Hiring Manager Interview:
A conversation about ownership, judgment, execution, collaboration, and growth, the non-technical signals that make an SRE effective at GitLab.
Peer Technical:
Team-specific depth, run by SREs from the team you're most likely to join, focused on the problems that team actually works on.
Skip-Level Interview:
A conversation with a senior leader on values alignment, and how you'll work across teams.
After your interviews, we consider your performance alongside our current hiring needs to confirm the level and team where you'll do your best work. Interview results are a major factor, and final placement also reflects our active hiring priorities at the time.
We’ll calibrate your level throughout the interview process based on the scope and impact of your experience.
Intermediate: You independently deliver meaningful reliability improvements within a defined area.
Senior: You own complex reliability work end to end and raise the effectiveness of your team.
Staff: You shape reliability across multiple teams, solving systemic problems and creating approaches others can reuse.
Senior Staff: You set technical direction across a broader Infrastructure area and influence reliability strategy at organizational scale.
What you'll do
Keep user-facing services and production systems reliable, scalable, and efficient
Build automation and tooling that reduces toil and replaces manual work with repeatable, infrastructure-as-code-driven workflows
Operate and troubleshoot production systems on Kubernetes, including deployments, rollouts, and scaling
Write and maintain infrastructure as code, and ship changes safely through CI/CD and GitOps
Participate in on-call, triage alerts, follow and improve runbooks, and escalate appropriately
Contribute to the observability stack, using metrics, logs, and SLOs to detect symptoms early rather than just outages
Take part in incident response and post-incident reviews, turning learnings into changes in automation and process
Document runbooks, architecture decisions, and reviews so your findings become repeatable practices
Take part in on-call or operational support where your team’s ownership model requires it.
What you'll bring
Experience keeping production systems reliable, combining an operations mindset with real software engineering practice
Experience building net-new infrastructure tooling and automation, not just configuring existing tools. For example, Terraform modules, Kubernetes operators or controllers, or production automation and services written from scratch
The ability to read, debug, and reason about code. Most of our teams work in Go; some work in Ruby. You can discuss a piece of code's behavior, performance, and failure modes
Experience with infrastructure as code, and with Kubernetes and its ecosystem, at a depth appropriate to your level
Hands-on experience with at least one major cloud provider (GCP or AWS)
Familiarity with observability practices, including metrics, logging, alerting, and SLOs or SLIs, and using data to inform operational decisions
Comfort participating in on-call and incident response, with a structured approach to troubleshooting under pressure
Strong written communication and the ability to operate as a manager-of-one in an async, distributed environment
A track record of using automation, and increasingly AI, to reduce toil and improve how you and your team work
Alignment with GitLab's values and a commitment to working in accordance with them
About the team
Infrastructure Platforms
is responsible for the availability, reliability, performance, and scalability of GitLab’s user-facing services, most notably
GitLab.com
. The organization spans teams across
Production Engineering
,
GitLab Dedicated
,
GitLab Delivery
, and
Developer Experience
, covering everything from the production fleet and networking platform to observability, incident response, deployment infrastructure, tenant scale, and our single-tenant Dedicated offering.
We are a globally distributed, remote-first organization that works asynchronously, favors automation over toil, and uses monitoring, metrics, and clear ownership to continuously improve the reliability of GitLab at scale. For more on how we work, see the
Infrastructure Handbook Page
.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$126,400
—
$314,400 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: United States (Remote)
Workplace: Remote
About Teleport
Don't wait for the future of infrastructure. Be part of it.
Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence.
Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world.
About the Role
We are looking for product-oriented backend engineers to join our Application Access (MCP) engineering team here at Teleport. You will be responsible for designing and implementing backend services and APIs that enable access controls auditing tools, audit logging, session recording summarization, and identity workflows in all aspects of Teleport.
You will be involved in the entire product development cycle, from working with customers to understand security needs, to writing RFDs for your design ideas, to implementing distributed systems in Go. You will work very closely with engineers, product managers, and security researchers to design features that secure and monitor access to infrastructure at scale.
You will play a key role in shaping how modern infrastructure access is secured, audited, and managed at scale.
What You'll Do
- Building backend integrations https://github.com/gravitational/teleport/issues?q=is%3Aissue+is%3Aopen+label%3Aaws with cloud provider's managed databases.
- Working on scalability and resiliency https://github.com/gravitational/teleport/issues?q=is%3Aissue+is%3Aopen+label%3Ascaleof clusters with 10K+ nodes.
- Implementing advanced HTTPS proxy with identity aware access control.
- Building hardened security https://github.com/gravitational/teleport/issues?q=is%3Aissue+is%3Aopen+label%3Asecurity for Linux and Mac users.
What We're Looking For
- Go experience
- Linux systems engineering
- Web Fundamentals (cookie security, HTTP streaming and proxying)
- OAuth experience
Nice to Have:
- Cryptography engineering experience is a plus
How We Hire
- You will join 30 minute intro call and we will walk you through the compensation, interview process and requirements
- You will join a 30 minute call with the hiring manager, and we will walk you through the take home exercise and help answer questions
- You join a Slack channel and submit a coding challenge https://github.com/gravitational/careers/blob/main/challenges/systems/challenge-1.md in Go using Github
Why Teleport
You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for.
Remote-first and globally distributed, we're genuinely passionate about what we're building.
The Benefits
At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career.
- Extensive health coverage
- Annual expense budget
- Rest and recovery policies that maximize your ability to recharge
- Investment in your future with retirement savings plans
- Professional development opportunities
Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law.
Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are looking for a Senior Electrical Serviceability Engineer to own the electrical and electronics dimension of serviceability for our humanoid robots. Product Services Engineering ensures the robot is designed to be maintained — modular, repairable, and serviceable at low skill in the field. You will own that mission for everything electrical: power distribution and batteries, wiring and harnesses, connectors, sensor and actuator drive electronics, and compute — including how faults are diagnosed, how systems are safely isolated, and how parts are replaced and reworked at the right BOM level.
This is a deeply technical, hands-on role. You will validate the electrical and electronics dimension of every service procedure before production, define the diagnostic points and safe-working practices that let our field and Repair Centre teams work quickly and safely, and act as part of the single engineering interface between Services and R&D.
WHAT YOU’LL DO:
- Own Design-for-Serviceability for electrical and electronics: drive accessibility, connectorisation, safe isolation, and low-skill field-executability into the product before design is locked.
- Define and validate electrical repair, rework, and replacement procedures at the correct BOM level — module/assembly for the field, deeper for the Repair Centre — across power distribution, batteries, harnesses, sensor and actuator electronics, and compute.
- Specify the diagnostic points, test equipment, and safe-isolation / lockout procedures needed to service the robot’s electrical systems safely and repeatably.
- Define the electrical diagnostic content in the Digital Shadow platform — localising power, sensing, and actuation faults as deep as possible in the BOM.
- Lead the electrical and electronics input to Service Failure Mode and Effects Analysis (S-FMEA) and feed serviceability requirements back into design.
- Support New Services Introduction (NSI) for electrical scope, and act as the single point of entry from Services into R&D for electrical escalations.
WE’RE LOOKING FOR:
- Electrical or electronics engineering background with hands-on experience diagnosing and repairing complex electromechanical products or robots.
- Strong grasp of power distribution, battery systems, wiring harnesses, connectors, sensors (LiDAR, cameras), and actuator drive electronics from a maintainability standpoint.
- Confident reading schematics and wiring diagrams, using electrical test equipment (multimeter, oscilloscope, and similar), and defining safe-isolation and lockout/tagout procedures.
- Design-for-Serviceability experience: connectorisation, diagnostic access, fault isolation, and modularity of electrical assemblies.
- A field-first, safety-first mindset — you design for the technician who has limited time, tools, and training, and for whom electrical safety is paramount.
- Comfort working across the full BOM hierarchy, from full-robot diagnosis to board- and component-level repair.
NICE TO HAVE:
- Experience with humanoid or legged robotics electrical systems.
- Familiarity with battery management systems (BMS), high-current power electronics, and functional-safety considerations.
- Experience with calibration-after-repair for sensors and actuators.
- Exposure to spare-parts / service-replaceable-unit (SRU) strategy and refurbishment loops.
- Experience introducing serviceability into a product moving from prototype to mass production.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: United States
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. 🚀
JOB SUMMARY
As a Support Automation Engineer on the Post Sales Systems team, you will design, build, and maintain the automation and AI systems that power ClickUp's post-sales support organization. You'll be responsible for translating business workflows in Zendesk and related CX platforms into scalable, intelligent automations that reduce manual effort, improve customer experience, and free up our support team to focus on high-value interactions.
This role sits at the intersection of engineering rigor and customer empathy. You'll partner closely with the Support and Success organizations, GTM Systems Leadership, and cross-functional stakeholders to automate away toil, surface insights through AI, and build systems that adapt to how support teams actually work. The kind of person who thrives here moves fast, takes full ownership of what they build, and is genuinely excited about applying AI to real operational problems. This role is a direct contributor to GTMSOE's broader mission of operational excellence across the GTM org.
KEY RESPONSIBILITIES
AI-POWERED AUTOMATION DESIGN & DEVELOPMENT
- Design and build automations in Zendesk that reduce repetitive support work: ticket routing, field population, note summarization, escalation logic, and customer outreach workflows.
- Develop AI-driven workflows using Zendesk AI, custom LLM integrations, and ClickUp Super Agents to automate tasks like ticket summarization, sentiment analysis, knowledge base matching, and response suggestions.
- Architect low-code/no-code automation solutions using Workato, Zapier, and similar integration platforms to connect Zendesk with Salesforce, ClickUp, Maven chatbot, and other tools.
- Own the full lifecycle of an automation: discovery, design, build, testing, deployment, and ongoing optimization based on usage and feedback.
CX SYSTEMS INTEGRATION & DATA FLOW
- Ensure seamless data flow between Zendesk, Salesforce, ClickUp, Chili Piper, Maven AGI chatbot, and other tools in the support tech stack.
- Design integration patterns that keep data clean, up-to-date, and accessible to downstream systems without creating maintenance nightmares.
- Build and maintain reporting dashboards and data pipelines that surface support health, automation impact, and team productivity metrics.
- Partner with the Support org to identify pain points, bottlenecks, and opportunities where AI and automation can deliver measurable value.
AI CAPABILITY EXPANSION
- Experiment with emerging AI/LLM capabilities (agents, RAG, fine-tuning) and determine which are production-ready for support workflows.
- Build reusable AI templates and patterns that other CX Systems team members can leverage, promoting consistency and reducing duplication.
- Collaborate with the broader GTM Systems Engineering team to share learnings and align on AI strategy across post-sales, sales, and finance domains.
- Log AI/automation work in the team's AI Excellence registry to promote transparency and cross-team learning.
RELIABILITY & CONTINUOUS IMPROVEMENT
- Monitor automation health, error rates, and SLAs; proactively identify and resolve issues before they impact support operations.
- Gather feedback from support teams and stakeholders; iterate on existing automations to improve accuracy, reduce false positives, and adapt to evolving business needs.
- Maintain documentation and runbooks so that support and CX teams understand how automations work and when to escalate issues.
- Help simplify and modernize existing architecture in Zendesk and connecting systems to improve long-term maintainability.
CROSS-FUNCTIONAL COLLABORATION
- Work closely with GTM Support teammates and leadership on intake, prioritization, and task execution.
- Partner with the Support and Success organizations and key stakeholders to translate business requirements into technical specifications.
- Contribute to the GTM Systems Engineering operating model: maintain task hygiene and communicate proactively on large initiatives.
QUALIFICATIONS
EXPERIENCE
- 3–5+ years in systems administration, business systems engineering, or customer support platform work.
- Demonstrated experience building automations or integrations that have shipped to production and delivered measurable business value.
- Hands-on experience with CX platforms, particularly Zendesk at an admin level or higher.
- Experience in a high-velocity, collaborative environment where you wear multiple hats and adapt quickly.
- Optional but valued: experience with ClickUp, Maven/chatbots, GTM systems, or support-focused SaaS operations.
SKILLS & COMPETENCIES
Technical
- Zendesk expertise: Hands-on experience with automations, triggers, business rules, and configuration (admin-level proficiency or higher).
- Integration & API work: Comfortable with REST APIs, webhooks, and integration platforms (Retool, Workato, Zapier, or similar low-code tools).
- AI & LLMs: Familiarity with prompt engineering, LLM APIs (OpenAI, Claude, etc.), MCP, and how to safely integrate AI into production workflows. You don't need to be an ML engineer, but you should understand when and how to apply AI to solve real problems.
- Data & scripting: Comfortable working with JSON, SQL, or light scripting (Python, JavaScript) to build data pipelines and transform data between systems.
- Salesforce integration: Understanding of Zendesk-to-Salesforce sync workflows, object relationships, and common integration patterns.
Operational & Mindset
- Ownership: You take full responsibility for the systems you build—reliability, documentation, and continuous improvement included. You don't hand off and walk away.
- Velocity: You move fast, iterate, and ship. You embrace "done is better than perfect" when appropriate, but never at the expense of reliability or customer trust.
- AI & Automation mindset: You're excited about LLMs and AI agents, not intimidated. You experiment, learn quickly, and know when to apply new tools and when to stick with what works.
- Collaboration: You're a skilled communicator who can translate between technical and non-technical stakeholders. You ask clarifying questions, challenge assumptions respectfully, and build trust with the teams you support.
- Growth: You're customer-centric and measure success not just by automation coverage, but by the real impact on support efficiency and quality.
WHAT YOU'LL WORK WITH
- Zendesk: Primary CX platform—automations, triggers, custom fields, custom apps, and reporting.
- ClickUp Super Agents: AI-powered automation and task orchestration within the ClickUp ecosystem.
- Salesforce: Zendesk-to-Salesforce integration, data sync, field mapping, and cross-system workflows.
- Integration stack: Workato, Zapier, and possibly Retool for custom apps and workflow orchestration.
- Maven chatbot & AI tools: In-app support, ticket automation, and AI-driven customer interactions.
- Data & reporting: ClickUp, Salesforce dashboards, and custom data pipelines for support metrics and insights.
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: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are looking for a Senior In-House Repair Technician the deepest hands-on repair capability in our Services Repair Centre. You will perform complex repair, rework, and full overhaul/restore on parts, sub-systems, and full robots, and deliver approved upgrades to existing units. You will also be our forensic-analysis specialist, determining root cause and supporting warranty decisions in both directions.
This is a senior, hands-on role. You will act as a “flying doctor” at customer sites for the most difficult interventions, help author the work instructions the rest of the team follows, and mentor Associate and Advanced technicians.
WHAT YOU’LL DO:
- Perform complex repair, rework, and full overhaul/restore on parts (SRUs), sub-systems, and full robots.
- Deliver approved upgrades to existing robots and parts.
- Lead physical troubleshooting and forensic analysis when Remote Services cannot localise a fault, determining root cause and supporting warranty determination (supplier claims, proof a fault was not caused by Humanoid…).
- Act as a flying doctor at customer sites for the most difficult on-site interventions.
- Partner with Product Services Engineering and the Training team to author clear, low-skill work instructions.
- Mentor Associate and Advanced technicians and contribute to the skills matrix and the unified career path across In-House, Remote, and Field roles.
- Own refurbishment throughput and quality for the most complex part families, and certify work to specification.
WE’RE LOOKING FOR:
- Mechanical/electrical technician training plus ~5+ years of hands-on repair experience, with deep specialisation.
- Proven ability to overhaul and restore complex electromechanical systems and full robots to specification.
- Strong forensic troubleshooting skills — you find root cause and can defend a warranty determination with evidence.
- Ability to author work instructions and mentor other technicians.
- Rigorous quality, certification, 5S and health-and-safety discipline.
- Willingness to travel for on-site interventions.
NICE TO HAVE:
- Experience with humanoid, legged, or advanced robotics hardware.
- Familiarity with calibration, metrology, and test/certification requirements for precision mechatronics.
- Exposure to failure-analysis methods and supplier-quality / warranty processes.
- Experience setting up or scaling a repair or refurbishment operation.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ days off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: Remote - United Kingdom
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
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Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
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See yourself at Twilio
Join the team as Twilio’s next
Security Engineer, Incident Response
About the job
The Security Incident Response Team (SIRT) is looking for a Security Engineer who is passionate about solving Twilio’s mission of security and reliability by working across the organization to lead the technical response to security events and incidents across Twilio’s global infrastructure, services and applications by effectively conducting triage, containment, remediation and driving post-incident betterments. You will work within a team that partners with R&D Engineering and R&D Business teams to develop scalable processes and technical solutions.
You will be a valued member of a team of deeply technical Security Engineers to focus on creating bespoke and standard Security response processes, enhancing our capabilities for threat mitigation and incident response, and then automating as much as you possibly can (and more)! You will help us to grow our global, scaled team and program.
Responsibilities
In this role, you’ll:
Lead and support the response to all security events and incidents across Twilio’s complex global infrastructure, services and applications.
Be responsible for documentation of incidents and projects you work on and craft best practices as runbooks and standard operating procedures to share knowledge across teams.
Work cross-collaboratively to understand and help solve challenges related to a broad spectrum of threat actors and activity.
Work to improve Twilio’s security and reliability posture by driving identified betterments from security events and incidents.
Rapidly acquire new technical skills and knowledge in a fast-paced, highly disruptive industry environment.
Own the security incident lifecycle, respond to incidents and participate in on-call rotation and participate in RCAs for security incidents.
Build, cultivate, and maintain positive relationships with internal customers to identify and facilitate solutions to increase the impact of the team’s work.
Provide mentorship, support, and care for the team in a way that enables long-term career development, happiness, and success at scale.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Required:
Proven experience: 3+ years of security incident response in a production-cloud environment
Subject-matter expert on security issues and technologies
Ability to utilize AI for comprehensive, complex security incident response activities delivering high fidelity detections
Advanced knowledge of service-oriented architectures, as well as experience with security tools and technologies fit for a cloud environment
Experience working across a technology stack on difficult security challenges and initiatives
Experience with SIEM platforms and the ability to extend their functionality
Experience with SOAR tools and automating manual security processes
Experience in either AWS, GCP, or other large cloud platform
Excellent written and verbal communication skills
Ability to influence and build effective working relationships with every level of the organization.
Desired:
AI Model Security & Posture Management: Support Implementation of controls and safeguards to prevent AI vulnerabilities, such as prompt injections, model evasion, and data poisoning
AI-Driven Threat Response: Utilize GenAI and LLM-based security use cases to rapidly interpret alerts, reduce false positives, and contextualize threat data
Artifact & Evidence Triage: Collects intrusion artifacts and forensically sound images to analyze malware, trojans, and source code.
Threat Intelligence Integration: Monitors external vendor data and threat intelligence to analyze trends and proactively defend against emerging risks.
Location
This role will be remote, and based in Ireland or U.K.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
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Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
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Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: Remote (Peru)
At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that have reached millions of people, and startups like HomeSpotter and Credly build entirely new businesses that challenge their industries’ status quo.
We're looking for an outstanding Senior Databricks Data Engineer to join our growing data practice — someone who builds the data and AI foundations that digital products and intelligent experiences run on. This is a senior-level position with the opportunity to work remotely in
Peru.
Who you are
You are a Databricks-focused Data Engineer who understands that great data platforms are only as valuable as the products, AI workflows, and experiences they enable. You bring deep, production-grade expertise across the Databricks platform and know how to connect platform capabilities to real business outcomes.
You thrive in ambiguity and can quickly assess a client's data landscape to recommend and implement the right solutions. You understand that in consulting, your Databricks depth is most valuable when it connects platform capabilities to the products and experiences clients actually use — and you're as comfortable in a product design conversation as you are building a DLT pipeline.
You excel at translating complex data challenges into clear technical requirements and can confidently navigate conversations with everyone from data scientists to executives. Your engineering principles are mature and grounded in real-world experience across various industries and scales.
You have an interest in and a curiosity about data platforms and the latest advances in data technology.
What you will be doing
Design and build production data pipelines using Lakeflow Declarative Pipelines, Autoloader, and Structured Streaming, with end-to-end ownership of ingestion, transformation, data quality expectations, and CI/CD deployment via Declarative Automation Bundles.
Architect and implement Lakehouse solutions on Databricks — medallion architecture, Delta Lake, Unity Catalog — tailored to the client's analytics, AI, and application needs.
Build and maintain Databricks transformation layers — DLT pipelines, PySpark notebooks, and dbt — with data quality constraints and SLAs baked in.
Design and maintain the data and AI foundations — Unity Catalog, Feature Store, MLflow, and Model Serving — that power production ML, agent workflows, and AI-enabled digital products.
Collaborate with product and backend engineers to design data models, APIs, and application data contracts — ensuring the platform serves the product, not just the warehouse.
Consult with clients to understand their data challenges, develop data strategies, and implement sustainable solutions.
Adapt your approach based on project needs — sometimes leading data architecture discussions with clients, other times supporting internal teams with specialized data expertise.
Work within multi-cloud environments — primarily AWS and Azure — anchoring data platform recommendations around Databricks where it fits the client's architecture and goals.
Champion data governance through Unity Catalog — access control, lineage, data quality policies, and compliance — as a first-class part of every engagement, not an afterthought.
Design data-to-application architectures — including Lakebase-backed services and Databricks Apps — that connect governed data to AI workflows, digital products, and user-facing experiences.
Help build Livefront's Databricks practice — contributing to accelerators, internal enablement, certification goals, and Databricks partner go-to-market materials alongside delivery work.
Why you should apply
You want to work with passionate and talented people who are always looking for ways to make things better.
You desire a work environment where respect, mutual trust, and egoless collaboration are paramount.
You want colleagues who take their work seriously but not themselves, and who know how to let loose and have a good time.
You like being part of a team with a reputation for excellence that gives back to the community by educating, mentoring, and sponsoring.
You want to work on products and accounts that have outsized impact and reach.
You believe in sweating the details, giving a damn about quality, and taking pride in going the extra mile.
You want to help build a data practice specialization from the ground up — shaping how we go to market with Databricks, what we build as accelerators, and what it means to do this kind of work at a digital product company.
What you bring to the table
5-8+ years of data engineering experience with at least 4 years in production Databricks environments, preferably in a consulting or client delivery context.
Solid working knowledge of AWS and Azure cloud services relevant to Databricks deployments — storage, networking, IAM, and compute — with GCP familiarity a plus.
Deep, production-grade Databricks expertise: Lakeflow Declarative Pipelines, Autoloader, Structured Streaming, Lakeflow Jobs, Unity Catalog (including fine-grained access control and lineage) — demonstrated through shipped production workloads, not prototypes.
Proven experience designing Lakehouse architectures — medallion patterns, Delta Lake table design, partitioning, Z-ordering, and query optimization — at production scale.
Hands-on experience with data pipeline testing, observability, and CI/CD for data — including unit testing, data quality frameworks, and version-controlled deployments via Git and Declarative Automation Bundles.
Strong proficiency in SQL and Python, with the ability to write clean, performant, and maintainable code.
Understanding of data modeling, schema design, and query optimization.
Excellent communication skills with the ability to explain complex data concepts to both technical and non-technical stakeholders.
Strong problem-solving skills with the ability to navigate ambiguous requirements and deliver pragmatic solutions.
Above-average discipline and personal organization skills.
Obvious comfort with critique and peer review in the context of an iterative development process.
A demonstrated hunger for personal and professional growth.
A self-evident love and care for the craft of data engineering.
Bonus points if you…
Have worked with real-time streaming technologies (Kafka, Kinesis, etc.).
Have hands-on experience with alternative cloud data platforms — useful context for migrations and competitive assessments, though Databricks is our primary platform focus.
Have experience in healthcare or fintech domains.
Have hands-on experience with MLOps or LLMOps on Databricks — MLflow experiment tracking, model registry, Model Serving endpoints, or Vector Search for RAG pipelines.
Have experience with Java, Go, or Scala.
Have strong illustration skills for technical diagramming and data architecture documentation.
Speak, write, and/or educate publicly about data engineering topics.
Have contributed to open-source data projects.
Hold or are actively pursuing a Databricks certification (Data Engineer Associate or Professional, or Apache Spark Developer) — we treat these as meaningful signals of platform depth, and they directly support our Databricks partner growth goals.
Have experience with Databricks Apps, or Lakebase — early familiarity with where the Databricks platform is heading is a strong differentiator.
What to expect
When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn, etc).
Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete.
Additional information
We go out of our way to evaluate all employees and job applicants equally based on merit, competence, and qualifications. We encourage candidates from all backgrounds to apply and consider all qualified applicants. Don't worry, every application will be reviewed by a human.
Location: Lanham, MD
Position Objective:
Under general supervision, the Clinical Staff Pharmacist facilitates the safe, high quality, effective and economic use of drugs. This responsibility includes the accurate preparation and dispensing of pharmaceuticals according to established departmental policies and procedures.
Essential Job Duties:
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Partakes in a rotating staffing schedule, including day and evening shifts, weekend rotations, holidays, and overnight coverage based on departmental needs.
Verifies the accuracy of order entry by authorized prescribers in computerized patient medication profiles.
Reviews written medication orders or prescriptions to determine appropriate ingredients, strength, and dosage. Reviews medication orders for: potential allergies, drug/drug and food/drug interactions, route of administration, appropriate dose and potential for adverse drug reactions with other medications ordered.
Contacts the prescriber, as appropriate, to clarify orders and/or make recommendations concerning alternate therapies.
Provides drug information to patients, physicians, nurses, and other clinical staff where appropriate and upon request.
Supervises the daily operational duties in the dispensing area to which assigned, including assisting and assigning, closely monitoring and reviewing the work of Pharmacy Technicians, to assure accurate and timely delivery of medications.
Participates in patient care rounds and unit based services, which may include: medication reconciliation, promoting medication efficacy/safety/cost improvement initiatives, participation in unit process improvement activities, and patient education & follow-up as appropriate.
Participates in improvements in interdepartmental policies and procedures which support the Pharmacy Department and Hospitals strategic goals. Maintains accurate records as required by departmental policies and procedures and/or federal and state board regulations.
Completes all core competencies and documents clinical activities accurately and according to policies and procedures. Supports the Investigational Drug Service in the daily operations of the department.
Educates and supervises Pharmacy Technician in the preparation of intravenous admixture solutions and chemotherapeutic agents, using aseptic technique.
Completes formal in-service, formulary addition/deletion, assimilation of evidence-based protocol/order-set, medication safety related activities and/or targeted medication expense reductions.
Educational/Experience Requirements:
The minimum level of education and experience for this position includes:
Doctor of Pharmacy Degree or Bachelor of Science in Pharmacy with commensurate experience required.
At least 1 year of experience in an inpatient setting required.
PGY-1 residency or Board Certification preferred.
Required License/Certifications:
Current Maryland State License
Working Conditions, Equipment, Physical Demands:
Light work.
Exerting up to 20 pounds of force occasionally, and/or up to 10 pounds of force frequently, and/or a negligible amount of force constantly to move objects. If the use of arm and/or leg controls requires exertion of forces greater than that for sedentary work and the worker sits most of the time, the job is rated for light work.
There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens.
Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities or requirements.
Pay Range
$65
—
$75 USD
Luminis Health Benefits Overview:
• Medical, Dental, and Vision Insurance
• Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year)
• Paid Time Off
• Tuition Assistance Benefits
• Employee Referral Bonus Program
• Paid Holidays, Disability, and Life/AD&D for full-time employees
• Wellness Programs
• Employee Assistance Programs and more
*Benefit offerings based on employment status
Opt-in for text notifications!
Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone.
To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time.
Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.
Location: New York, NY; Pittsburgh, PA
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!
At Duolingo, you’ll join a team that cares about finding
innovative solutions to complex technical problems
, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful.
Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
About the Role...
We are hiring for Android Engineers at various levels, and below you can find more information about the teams we're hiring for:
Math Progress:
The Math Progress team builds the experiences that connect Duolingo's math lessons into a cohesive learning journey. We help learners find the right content by improving how they navigate topics, grades, and the course path, and we make their learning progress visible through mastery signals, scored reviews, and personalized practice. The team works cross-functionally and experiments rapidly to help learners build momentum and continually strengthen their math skills.
Long-Form Learning:
The Long-form Experience team owns Stories and DuoRadio, Duolingo’s immersive reading and listening experiences that help learners understand real-world conversations. You’ll build engaging, interactive experiences that help learners apply their language skills. We’re also building a brand new long-form session from 0 to 1, and you’ll play a key role in bringing it to Android
🧠 You will...
Collaborate on software projects with product design and backend aspects
Develop, release, and maintain native Android application features in Kotlin
Mentor and set technical direction for junior engineers on the team
✅ You have...
A Bachelor’s degree in Computer Science or a related technical field
Programming experience in Kotlin on Android
The ability to communicate technical issues effectively to technical and non-technical stakeholders
⭐ Exceptional candidates will have...
Strong programming experience building reactive Android apps
Demonstrated self-direction, with a desire both to learn new techniques and mentor others
Experience designing clean and maintainable APIs
Experience writing unit tests and testable code
The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role!
Salary Range:
$153,000
—
$207,000 USD
Benefits:
Take a peek at how we care for our employees' holistic well-being with our benefits
here
.
Job Alerts:
Sign up for job alerts
here
.
Accommodations:
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact
accommodations@duolingo.com
.
Equal Employment Opportunity:
Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Fraud Warning:
Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.
By applying for this position your data will be processed as per the
Duolingo Applicant Privacy Notice
.
Location: United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
About Nebius
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, the Americas and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Infrastructure Acquisition Group
The Infrastructure Acquisition Group secures the land, power, and data center capacity that enables the Nebius AI Cloud. We identify where Nebius should grow next, structure the commercial agreements that make that growth possible, and partner across engineering, energy, finance, legal, and development to bring new AI infrastructure online.
We're a small, founding team building this function from the ground up across the Americas, leading the acquisition of colocation, build-to-suit, powered land, and other strategic infrastructure opportunities as one of the world's fastest-growing AI cloud platforms scales.
Examples of Problems We're Solving
Determine whether a site can actually support the AI infrastructure we're planning to build.
Lead multidisciplinary technical due diligence across geotechnical, environmental, civil, utility, and entitlement workstreams to determine whether a project is technically feasible before Nebius commits capital.
Build a repeatable technical due diligence program.
Help establish the standards, consultant network, playbooks, and review processes that ensure every infrastructure opportunity is evaluated consistently across the Americas.
Identify technical risk before it becomes commercial risk.
Work with Site Selection, Project Development, Engineering, and external consultants to identify development constraints early enough to influence negotiations, investment decisions, and project schedules.
About the Role
As a Technical Due Diligence Manager, you'll evaluate the technical feasibility of AI infrastructure opportunities across the Americas before Nebius commits capital. Working within the Infrastructure Acquisition Group, you'll lead multidisciplinary engineering due diligence across powered land and build-to-suit developments, partnering with Site Selection, Engineering, Energy, Legal, and Project Development to identify technical risk, assess development feasibility, and support investment decisions.
This is a build-phase role on a build-phase team. Many of the standards, playbooks, consultant relationships, and technical review processes you'll use are still being written—in some cases, you'll help write them. We're looking for someone who can independently lead complex technical due diligence programs while helping build the systems that make every future evaluation faster, more consistent, and more scalable.
What You'll Own
Lead multidisciplinary technical due diligence for powered land, build-to-suit, and other strategic infrastructure opportunities.
Define the scope of engineering, environmental, geotechnical, surveying, utility, and entitlement studies required to evaluate prospective sites.
Procure, manage, and coordinate external engineering and technical consultants from scope development through final recommendation.
Interpret technical findings and provide development recommendations supporting acquisition decisions.
Prepare technical due diligence summaries and present risks, constraints, and recommendations to executive leadership.
Technical Risk Assessment
Evaluate geotechnical conditions, environmental constraints, utility capacity, network connectivity and fiber access, entitlement requirements, constructability, and development schedules.
Identify technical risks that may impact project cost, schedule, or feasibility.
Recommend mitigation strategies and additional investigations where appropriate.
Quantify technical risks and communicate commercial impacts to Site Selection and Project Development.
Studies & Consultant Management
Define the scope of engineering, environmental, geotechnical, surveying, utility, and entitlement studies required to evaluate prospective sites.
Procure, manage, and coordinate external engineering and technical consultants from scope development through final recommendation.
Interpret engineering studies and translate technical findings into clear development recommendations.
Maintain technical documentation and due diligence records that support investment decisions.
Program Standards & Process
Apply Nebius' technical due diligence standards consistently across all projects.
Help develop and improve due diligence templates, consultant scopes, checklists, and review processes.
Capture lessons learned to strengthen future technical evaluations.
Build and maintain a trusted network of engineering and technical consultants.
Cross-Functional Collaboration
Partner with Site Selection to evaluate new infrastructure opportunities and support acquisition recommendations.
Work with Project Development to transition technically viable projects into development.
Coordinate with Engineering, Energy, Network, Legal, Finance, and Delivery throughout the acquisition lifecycle.
Build trusted relationships with engineering firms, land-use attorneys, environmental consultants, and technical partners.
What Success Looks Like
Deliver timely technical recommendations that support investment decisions.
Identify development risks early enough to influence commercial negotiations and project strategy.
Establish consistent technical due diligence standards across the Americas.
Build a trusted network of engineering and technical consultants.
Help build the standards and processes the Infrastructure Acquisition Group runs on as it scales.
What You'll Bring
You're comfortable operating in ambiguity and building processes where none exist. You know how to independently lead complex technical due diligence efforts while helping define how future evaluations should be performed.
5–10 years of experience leading technical due diligence, site development, civil engineering, land development, infrastructure design, or large-scale industrial projects.
Experience managing multidisciplinary engineering and environmental consultants.
Strong understanding of geotechnical investigations, environmental assessments, zoning, entitlements, utility coordination, permitting, and infrastructure development.
Ability to interpret engineering studies and translate technical findings into business recommendations.
Excellent communication and executive presentation skills.
Bachelor's degree in Civil Engineering, Architecture, Construction Management, Real Estate Development, or a related discipline, or equivalent experience.
Preferred Qualifications
Experience supporting hyperscale data center, AI infrastructure, or mission-critical developments.
Professional Engineer (PE), PMP, or similar technical certification.
Experience with large-scale infrastructure acquisition or development programs.
Knowledge of utility infrastructure, transmission, and power markets.
Why Join Nebius
The infrastructure supporting AI is being built now. This is an opportunity to help define how Nebius evaluates the next generation of AI infrastructure while helping build the function itself—the standards, consultant network, technical processes, and playbooks that will support infrastructure investments across the Americas. You'll work on some of the industry's largest and most complex AI infrastructure opportunities while helping shape the physical foundation of the global AI economy.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$150,000
—
$183,000 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Paris
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
Role Summary
As a Workplace Project Manager, you will own and drive complex, multi-site, and high-stakes workplace projects that shape the future of how we work. This role is at the heart of aligning our global workplace strategy with Mistral's mission, values (Audacity, Rigor, Customer Success, Speed, Low Ego), and rapid growth.
You will oversee the planning, implementation, and delivery of workplace operations projects, ensuring efficient facilities management, optimal space utilization, and high-quality service delivery across all sites.
You will report directly to the Workplace Lead EMEA, and be part of the HR Team.
Key Responsibilities
Project Leadership & Delivery
- Own the end-to-end delivery of complex, multi-site workplace projects, ensuring full alignment with business strategy and Mistral's core values. This includes opening and scaling new offices globally, managing and tracking the annual Workplace budget, negotiating leases and contracts with providers, launching and managing calls for tenders and supplier evaluations.
- Establish and enforce project governance standards, methodologies, and best practices.
- Lead post-project reviews to capture insights and drive organizational improvements.
- Develop compliance frameworks for multi-site programs, integrating sustainability and ESG considerations into project design.
- Advise on emerging regulations and drive a culture of health, safety, and rigor across project teams.
Workplace Strategy & Innovation
- Drive workplace strategy across global sites, integrating occupancy insights, business unit feedback, and emerging industry trends.
- Develop mid- to long-term capacity plans and champion audacious, innovative space solutions.
- Lead the adoption and optimization of digital workplace tools, advanced automations, and align technology with organizational goals.
Vendor & Financial Management
- Manage a portfolio of strategic vendor and contractor relationships, developing preferred supplier frameworks.
- Negotiate multi-project agreements and mentor team members on procurement best practices.
- Lead budget management for complex portfolios, design financial reporting frameworks, and identify strategic cost efficiencies.
- Advise leadership on cost trade-offs and mentor junior team members on financial governance.
Experience and Skills
- Proven track record: 8+ years in workplace project management, facilities management, or corporate real estate, with experience delivering complex, multi-site initiatives.
- Strategic thinking: Ability to align project delivery with business objectives and long-term workplace strategy.
- Financial & vendor expertise: Strong budget and cost management skills, including financial reporting, cost trade-off analysis, and strategic vendor negotiations.
- Risk & compliance mindset: Deep understanding of risk frameworks, contingency planning, and compliance (including ESG, health & safety, and workplace regulations).
- Digital fluency: Experience with workplace management tools, automation, and data-driven decision-making.
- Experience in the tech industry or fast-growing scale-up environments.
- Knowledge of workplace analytics: IWMS platforms or space planning software.
- Background in workplace design, architecture, or facilities engineering.
- Familiarity with international workplace standards and sustainability certifications.
You're an amazing fit if you:
- Have a service mindset
- Are able to multitask and prioritize effectively
- Keep discretion and professionalism when handling confidential information
- Have a positive attitude and strong work ethics
- Have a passion for building and maintaining a community within the office space
- Thrive in a fast-paced workplace environment
- Have excellent written and verbal communication skills
- Have extraordinary organizational and time management skills
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Barcelona, Spain
Appodeal
is a dynamic US-based product company with a truly global presence.
We have offices in
Warsaw, Barcelona and Parkland (FL),
along with remote team members located around the world.
Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space.
Why Appodeal?
At Appodeal, we’re more than just a company—we’re a team united by a common mission:
Help people discover and grow their talents through products that enable successful mobile app businesses!
We take pride in our cutting-edge product and our internationally dispersed team of talented professionals.
Here’s what we value, and what we hope you do too:
Seek the Truth and Say It with Care:
We find the truth together, and nobody owns it, the CEO included. Stories, perspectives and beliefs can be personal. Facts can’t.
Leverage Data to Build Product:
Our decisions start from data. We build systems rather than one-off tasks, use AI agents in our daily work and automate whatever is manual. When numbers don’t match, we fix them.
We Work Together to Serve Others:
No closed doors between teams. We share what we learn and win as one company first.
Insist on Higher Standards:
We don’t settle for “good enough”. We question it and push for better.
Passionate Curiosity Fuels Perseverance:
We ask “why”, take on ambiguous problems and keep going when they get hard.
Lean Startup Mentality: Start Small, Iterate Quickly:
Think big, ship an MVP first and learn fast. No big-bang releases.
Ownership and Accountability:
We work in small squads so each team owns its result end to end and has the freedom to get there. Go deep in your craft and wide enough to own the whole outcome. Escalate blockers early, admit mistakes, fix the damage and learn.
About the role
Our gaming business builds and scales a portfolio of casual, ad-monetized evergreen games (cards, words, puzzles, board games) from Barcelona. We’re rebuilding it as an
AI-native team
: instead of departments and management layers, we work in small squads, and each squad runs like a small studio that owns 1–3 games end to end: product, UA and monetization together. The reporting, coordination and analysis that used to need middle managers are handled by shared data and LTV models, AI agents and automation.
The model follows
"From Hierarchy to Intelligence"
by Jack Dorsey (Block) and Roelof Botha (Sequoia Capital), and uses a few simple roles:
Builder (IC):
everyone builds.
DRI (Directly Responsible Individual):
owns one result end to end, has real authority over the squad’s effort and picks the team. It’s a role, not a rank.
Player-coach:
sets the standard of a discipline for all squads and makes their expertise easy to reach. A coach is accountable for the standard and for being available, not for other people’s numbers or growth.
Advisor:
brings outside expertise without owning a result.
This seat is the player-coach for ad monetization, filled as an advisor.
It’s an advisory engagement, not employment: part-time, fully remote, with scope and hours agreed together. You won’t own a squad, a team or a revenue number. The squad DRIs own their results, and you raise the monetization craft they work with.
Why this seat exists:
Monetization is set up game by game, by people with very different backgrounds, and on the same users our titles still earn less than the best competitor in each genre. We want senior, market-calibrated monetization standards and a person every squad can consult and learn from.
Responsibilities:
Set and keep the ad monetization standards every squad works to.
Review and challenge the squads’ roadmaps from a monetization angle against the best casual evergreen titles, and bring in mechanics we haven’t tested.
Make expertise easy to reach: regular office hours with squad DRIs and builders, config and experiment reviews, and written playbooks with real examples.
Where it helps, open doors to ad networks, DSPs and exchanges relevant to casual gaming.
Speak up when a standard isn’t followed.
What this role is not:
Not a head of a monetization department and not a manager: no direct reports and no team to build.
Not accountable for squad or portfolio profit, and not asked to commit to it: each squad’s DRI owns their result. You’re accountable for the standards and for being available in the agreed hours.
Requirements:
Proven, hands-on experience leading monetization for casual, ad-monetized mobile games (cards, words, board, puzzle or similar evergreen genres). General ad-tech, mediation sales or IAP/midcore monetization backgrounds on their own aren’t enough.
A track record of building a fast, rigorous experimentation culture (A/B tests, waterfall optimization, segment-level configs) with measurable business impact.
Deep ad-tech knowledge: mediation (MAX, AdMob, in-house), bidding, waterfalls, floors and ad quality.
Strong existing relationships with ad networks, DSPs and exchanges in casual gaming.
Comfortable working from shared data and LTV models, with AI agents and automation, rather than through an analytics team.
You can explain standards so that DRIs and builders from other disciplines can apply them.
Format:
Advisory, part-time, fully remote, with no office visits.
Scope, hours and terms agreed together.
A good fit if you’re not looking for a full-time move but want to share what you know.
Why Join Us?
You’ll shape how a whole portfolio of games makes money, without a full-time commitment.
Your advice goes straight into live games, and you’ll see the results.
You’ll work with squads that want to learn and move fast.
With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team.
Join us
and help shape the future of mobile app success!
Location: Malta
The role of the Sportsbook Customer Risk Analyst is to ensure the optimization of the sportsbook customer base for maximum profitability, thereby stimulating business growth. This is accomplished through the timely and efficient segmentation of sportsbook customers.
What you’ll be doing
Identify anomalies and emerging trends in customer activity, and report them to the appropriate team.
Conduct comprehensive analysis of Sportsbook reports, with a particular emphasis on customer behaviors.
Manage Sportsbook customers, ensuring an optimized customer experience through an analytical approach.
Mitigate risks from integrity matches, and questionable customers.
Actively participate in the development of new strategies and tools to optimize the customer management process.
Address queries and requests concerning customer limits and classifications.
What we’re looking for
Possess an excellent understanding of Sportsbook betting principles.
Have a determined and adaptable attitude, coupled with a strong passion for the sports betting industry.
Continuously strive for improvement, with a willingness to learn new skills and knowledge.
Exhibit a strong team spirit, working cohesively as a single unit.
Demonstrate detail-oriented and strong analytical skills, maintaining quality and accuracy.
Bring at least three years of experience in a sportsbook environment.
Be prepared for a work schedule that aligns with the global sporting calendar, including night shifts, weekends, and public holidays.
Be fluent in English and possess strong communication skills.
Be willing to relocate to Malta.
Good to have
Hold a university degree, preferably in an analytical field.
Have manual trading experience in any of the following sports: US Sports, Ice Hockey, Basketball, Volleyball, Handball, eSports.
Possess solid knowledge of Microsoft Office applications, with a strong emphasis on Microsoft Excel.
Demonstrate excellent organizational skills.
What we offer
We provide a fun and challenging role within a collaborative and dynamic environment. For the right candidate, Betsson offers numerous career paths, whether you aim to deepen your technical expertise or pursue leadership roles in the future. At Betsson, we value diversity. We recognize the benefits of having a diverse workforce, understanding that it makes our company stronger and more competitive by bringing together individuals with varied backgrounds, experiences, and cultures.
Challenge accepted?
By submitting your application, you understand that your personal data will be processed as set out in our
Privacy Policy
Location: Cyprus - Remote
Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.
Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you.
Our vision:
A world where everyone is free to focus on their most purposeful work, together.
About the Role:
You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. As the leading collaborative work management platform, Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience.
As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product.
Your Impact:
Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback
Communicating with fellow data scientists, product owners, and developers
Applying best software engineering practices to build a reliable codebase
Performing code reviews
Working in agile environment and presenting the results of your work on regular sprint reviews
Your Qualifications:
4+ years of experience in AI, Data Science, and Machine learning
Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics
Experience in building complex multipart and multistep LLM-based and ML systems
Proficiency in Python (including pure Python, and not only jupyter notebooks)
Experience in using reproducible research techniques
Experience in developing AI solutions for production usage
Full professional proficiency in English
Standout Qualities:
Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation
Confident statistical and machine learning skills
Experience in creating core AI systems that are foundational to the product and are used in many parts of it
Experience in classical software development and architecture
Interpersonal skills:
Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization.
You are proactively pushing yourself to develop your skills and knowledge
Decision making and argumentation skills
Open to feedback and ready to react on it
Ability to work autonomously on a project level
Our Work Style:
Code: Python, Jupyter, mypy, uv, black, flake8
Data: pandas, SQL, BigQuery
GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust
LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing)
ML: scikit-learn, lightgbm, pytorch
Cloud: GCP, Dagster, MLFlow
Coding Agents: Claude Code, Codex, Cursor
Team Dynamics:
As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization. You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users.
Benefits & Perks:
25 working days of paid vacation
Sick Leave Compensation (5 Uncertified + 10 Certified Days)
Parental Leave: Fully Paid Maternity / 4 Weeks Paid Paternity
2 Volunteer Days
Medical Insurance (Employees + Dependents)
Life Insurance (Employees)
Provident Fund
Hybrid Working Model
School Allowance (Up to €600/month for school aged kids)
Simcard w/ Unlimited Internet Access for active employees
Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays
Work Permit, Blue Card & Naturalization Support
What’s Next?
Introduction Call with a Recruiter
Technical interview
Cultural interview
Your recruitment buddy will be
Alexandra Vorobyova
, Lead Recruiter.
#LI-AV1
Who Is Wrike and Our Culture
We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.
Hybrid work mode
Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.
While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.
Our persona
💡 Smart:
We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.
💚 Dedicated:
We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!
🤗 Approachable:
We're friendly, easy to get along with, considerate, and helpful.
Our culture and Values
🤩 Customer-Focused
We care about our customers.
We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.
🤝 Collaborative
We work as one and win together,
each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.
🎨 Creative
We strive to succeed through continuous innovation.
It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.
💪 Committed
We believe in ownership at all levels of the organization,
by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.
Check out our
LinkedIn Life Page
,
Company culture page
,
Instagram
,
Wrike Engineering Team
,
Medium
,
Meetup.com
,
Youtube
for a feel for what life is like at Wrike.
Location: Nicosia
Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.
Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you.
Our vision:
A world where everyone is free to focus on their most purposeful work, together.
About the Role:
You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. As the leading collaborative work management platform, Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience.
As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product.
Your Impact:
Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback
Communicating with fellow data scientists, product owners, and developers
Applying best software engineering practices to build a reliable codebase
Performing code reviews
Working in agile environment and presenting the results of your work on regular sprint reviews
Your Qualifications:
4+ years of experience in AI, Data Science, and Machine learning
Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics
Experience in building complex multipart and multistep LLM-based and ML systems
Proficiency in Python (including pure Python, and not only jupyter notebooks)
Experience in using reproducible research techniques
Experience in developing AI solutions for production usage
Full professional proficiency in English
Standout Qualities:
Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation
Confident statistical and machine learning skills
Experience in creating core AI systems that are foundational to the product and are used in many parts of it
Experience in classical software development and architecture
Interpersonal skills:
Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization.
You are proactively pushing yourself to develop your skills and knowledge
Decision making and argumentation skills
Open to feedback and ready to react on it
Ability to work autonomously on a project level
Our Work Style:
Code: Python, Jupyter, mypy, uv, black, flake8
Data: pandas, SQL, BigQuery
GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust
LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing)
ML: scikit-learn, lightgbm, pytorch
Cloud: GCP, Dagster, MLFlow
Coding Agents: Claude Code, Codex, Cursor
Team Dynamics:
As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization. You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users.
Benefits & Perks:
25 working days of paid vacation
Sick Leave Compensation (5 Uncertified + 10 Certified Days)
Parental Leave: Fully Paid Maternity / 4 Weeks Paid Paternity
2 Volunteer Days
Medical Insurance (Employees + Dependents)
Life Insurance (Employees)
Provident Fund
Hybrid Working Model
School Allowance (Up to €600/month for school aged kids)
Simcard w/ Unlimited Internet Access for active employees
Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays
Work Permit, Blue Card & Naturalization Support
What’s Next?
Introduction Call with a Recruiter
Technical interview
Cultural interview
Your recruitment buddy will be
Alexandra Vorobyova
, Lead Recruiter.
#LI-AV1
Who Is Wrike and Our Culture
We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.
Hybrid work mode
Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.
While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.
Our persona
💡 Smart:
We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.
💚 Dedicated:
We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!
🤗 Approachable:
We're friendly, easy to get along with, considerate, and helpful.
Our culture and Values
🤩 Customer-Focused
We care about our customers.
We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.
🤝 Collaborative
We work as one and win together,
each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.
🎨 Creative
We strive to succeed through continuous innovation.
It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.
💪 Committed
We believe in ownership at all levels of the organization,
by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.
Check out our
LinkedIn Life Page
,
Company culture page
,
Instagram
,
Wrike Engineering Team
,
Medium
,
Meetup.com
,
Youtube
for a feel for what life is like at Wrike.
Location: Czech Republic - Remote
Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.
Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you.
Our vision:
A world where everyone is free to focus on their most purposeful work, together.
About the Role:
You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. As the leading collaborative work management platform, Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience.
As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product.
Your Impact:
Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback
Communicating with fellow data scientists, product owners, and developers
Applying best software engineering practices to build a reliable codebase
Performing code reviews
Working in agile environment and presenting the results of your work on regular sprint reviews
Your Qualifications:
4+ years of experience in AI, Data Science, and Machine learning
Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics
Experience in building complex multipart and multistep LLM-based and ML systems
Proficiency in Python (including pure Python, and not only jupyter notebooks)
Experience in using reproducible research techniques
Experience in developing AI solutions for production usage
Full professional proficiency in English
Standout Qualities:
Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation
Confident statistical and machine learning skills
Experience in creating core AI systems that are foundational to the product and are used in many parts of it
Experience in classical software development and architecture
Interpersonal skills:
Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization.
You are proactively pushing yourself to develop your skills and knowledge
Decision making and argumentation skills
Open to feedback and ready to react on it
Ability to work autonomously on a project level
Our Work Style:
Code: Python, Jupyter, mypy, uv, black, flake8
Data: pandas, SQL, BigQuery
GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust
LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing)
ML: scikit-learn, lightgbm, pytorch
Cloud: GCP, Dagster, MLFlow
Coding Agents: Claude Code, Codex, Cursor
Team Dynamics:
As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization. You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users.
Benefits & Perks:
5 Weeks of paid vacation
Sick Leave Compensation
5 Paid Uncertified Sick Days
2 weeks fully paid w/ medical certificate, additional
4 weeks paid at 80% salary rate
Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity
2 Volunteer Days
Meal Vouchers (CZK 220 per working day)
Annual Prague Travel Card (Lítačka)
Hybrid Working Model
Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus
What’s Next?
Introduction Call with a Recruiter
Technical interview
Cultural interview
Your recruitment buddy will be
Alexandra Vorobyova
, Lead Recruiter.
#LI-AV1
Who Is Wrike and Our Culture
We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.
Hybrid work mode
Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.
While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.
Our persona
💡 Smart:
We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.
💚 Dedicated:
We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!
🤗 Approachable:
We're friendly, easy to get along with, considerate, and helpful.
Our culture and Values
🤩 Customer-Focused
We care about our customers.
We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.
🤝 Collaborative
We work as one and win together,
each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.
🎨 Creative
We strive to succeed through continuous innovation.
It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.
💪 Committed
We believe in ownership at all levels of the organization,
by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.
Check out our
LinkedIn Life Page
,
Company culture page
,
Instagram
,
Wrike Engineering Team
,
Medium
,
Meetup.com
,
Youtube
for a feel for what life is like at Wrike.
УдалённоseniorПротиворечивые условия: Please note: This position is open to candidates based in the United States and Canada only; Candidates based in the United Kingdom can apply to this posting:; The base salary range for this role’s listed level is currently for residents of the United States only
УдалённоseniorUnited States (Remote)
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоUnited States; 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
ОфисseniorUK, London
УдалённоRemote - United Kingdom
УдалённоseniorRemote (Peru); We encourage candidates from all backgrounds to apply and consider all qualified applicants
География найма не уточнена
seniorNew York, NY; Pittsburgh, PA
United States
Paris; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Barcelona, Spain
Зарплата не указана
seniorCyprus - Remote; With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations
seniorNicosia; With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations
seniorCzech Republic - Remote; With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations
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