Location: Göppingen, Germany; Stuttgart, Germany
Workplace: hybrid
TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.
We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?
Responsibilities
We are seeking a highly skilled and technically grounded Product Owner (all genders) to join our TeamViewer Client unit. You will take ownership of the product development for Linux and, in a next step, macOS, driving the product direction and priorities for our Remote Connectivity Product Line (TeamViewer Remote and Tensor) on those platforms."
Act as a Product Owner (all genders) within an agile Scrum team, closely collaborating within the Product Management and Development teams to lead product initiatives from planning to release and enablement of field teams
Lead the agile product development process, collaborate with various departments including Software Development, UX, Marketing, and Sales to ensure the successful launch of new features
Serve as a bridge between customers and the development team, converting customer needs and pain-points into clear product requirements
Plan and track support for new Linux distribution and macOS versions along their release cycles, including organizing beta testing and timely deprecation of outdated versions
Ensure a shared understanding of product goals and platform-specific constraints with the development team, translating Linux and macOS specifics into well-defined user stories with clear acceptance criteria per platform
Coordinate Linux- and macOS-specific development requirements with the development team to ensure platform compatibility
Requirements
A university degree in a technology or business-related field or comparable qualification
Proven expertise in software development environments with a strong emphasis on desktop technologies, and a solid understanding of operating system specifics, including familiarity with Linux and macOS concepts such as distributions, package management, display servers, system permissions and security models
Ability to translate complex technical requirements into clear product features and user stories.
Hands-on mentality and curiosity for operating systems, including willingness to install, test and explore builds on different Linux distributions and macOS versions yourself
Very good communication skills are essential, including the ability to discuss platform-specific technical requirements clearly with the development team and align stakeholders
Fluency in English required; additional languages are a plus
What we offer
Onsite Onboarding
in our HQ office for an optimal start
Great compensation and benefits packages
including company achievement bonus or sales bonus and regular salary reviews
Premiums for the private pension plan (
BAV
) up to the maximum amount are topped up by TeamViewer
Public transport friendly
offices
Option to
lease an e-bike
(Germany only)
Special terms
for local gyms
Access to
Corporate Benefits platform
with many
discounts
Regular
Team events
and company-wide celebrations
Open door policy
, no dress code rules, frequent all Hands and Leadership Lunches
Hybrid
and
Flexible
work time
Work From Abroad Program
allowing up to 40 days of work outside your contracting country
We celebrate
diversity
as one of core values, join and drive one of the c-a-r-e initiatives together with us!
TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.
If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a
professor in a quantitative discipline, a technical founder or a staff-level engineer
and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required.
What to expect
A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers
Access to Claude models and GPU compute
Connection to the broader AI safety and security research community
Interview process
The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check.
Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027.
You may be a good fit if you
Are motivated by making sure AI is safe and beneficial for society as a whole
Are excited to transition into working on empirical AI research full-time
Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer)
Thrive in fast-paced, collaborative environments
Can implement ideas quickly and communicate clearly
Strong candidates may also
Have experience authoring research papers in machine learning, NLP, or AI safety
Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases
Mentors and research areas
Potential Anthropic mentors include:
Sara Price
: leads the Alignment Training team; background in data science
Ethan Perez
: leads the Alignment Science team; background in machine learning
Evan Hubinger
: leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI)
Samuel Marks
: leads the Scalable Oversight team; background in mathematics
Elana Simon
: researches the interpretability of language models and biological models; background in biomedical informatics
Belinda Li
: researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT)
Jack Lindsey
: leads the Model Psychology team; background in theoretical neuroscience
Nicholas Carlini
: researches adversarial machine learning and AI security; previously at DeepMind and Google Brain
Jascha Sohl-Dickstein
: works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain
Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include:
AI safety & alignment
Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains.
Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.
Model Organisms: Creating
model organisms of misalignment
to improve our empirical understanding of how alignment failures might arise.
Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures.
Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment.
AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations.
AI security & frontier red-teaming
Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography.
ML systems & reinforcement learning
Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines.
For a fuller picture of the questions we care about, see our
Recommendations for Technical AI Safety Research Directions
and recent publications from our
Alignment
,
Interpretability
and
Frontier Red
teams.
Logistics
Duration:
Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception.
Location:
This application is for a remote UK position, with the option to work from our London office. However, we prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire.
Commitment:
Full-time role for the duration of the residency.
Compensation:
£265,000 to £375,000/year pro-rated for the duration of the residency + benefits
Visa sponsorship:
We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire.
Applicants may also be considered for the
Anthropic Fellows Program
.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£265,000
—
£375,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a
professor in a quantitative discipline, a technical founder or a staff-level engineer
and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required.
What to expect
A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers
Access to Claude models and GPU compute
Connection to the broader AI safety and security research community
Interview process
The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check.
Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027.
You may be a good fit if you
Are motivated by making sure AI is safe and beneficial for society as a whole
Are excited to transition into working on empirical AI research full-time
Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer)
Thrive in fast-paced, collaborative environments
Can implement ideas quickly and communicate clearly
Strong candidates may also
Have experience authoring research papers in machine learning, NLP, or AI safety
Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases
Mentors and research areas
Potential Anthropic mentors include:
Sara Price
: leads the Alignment Training team; background in data science
Ethan Perez
: leads the Alignment Science team; background in machine learning
Evan Hubinger
: leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI)
Samuel Marks
: leads the Scalable Oversight team; background in mathematics
Elana Simon
: researches the interpretability of language models and biological models; background in biomedical informatics
Belinda Li
: researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT)
Jack Lindsey
: leads the Model Psychology team; background in theoretical neuroscience
Nicholas Carlini
: researches adversarial machine learning and AI security; previously at DeepMind and Google Brain
Jascha Sohl-Dickstein
: works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain
Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include:
AI safety & alignment
Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains.
Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.
Model Organisms: Creating
model organisms of misalignment
to improve our empirical understanding of how alignment failures might arise.
Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures.
Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment.
AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations.
AI security & frontier red-teaming
Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography.
ML systems & reinforcement learning
Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines.
For a fuller picture of the questions we care about, see our
Recommendations for Technical AI Safety Research Directions
and recent publications from our
Alignment
,
Interpretability
and
Frontier Red
teams.
Logistics
Duration:
Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception.
Location:
We prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire.
Commitment:
Full-time role for the duration of the residency.
Compensation:
$350,000 to $500,000/year pro-rated for the duration of the residency + benefits
Visa sponsorship:
We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire.
Applicants may also be considered for the
Anthropic Fellows Program
.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$350,000
—
$500,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
As an Apparel & Accessories Inventory Planner, you will own inventory levels and buy plans for assigned categories and SKUs to support business objectives and achieve financial targets. Reporting to the Senior Inventory Planning Manager, you will manage day-to-day inventory planning and purchasing activities while supporting broader departmental planning initiatives. You will collaborate closely with fellow Inventory Planners, Product Marketing, Go-to-Market (GTM), FP&A, and Operations teams to ensure optimal inventory levels for new product launches, seasonal assortments, and ongoing business needs. The ideal candidate has 3+ years of experience in inventory planning and analysis.
RESPONSIBILITIES:
- Partner with D2C Product Marketing Managers to align inventory plans with product launches, seasonal color stories, and assortment strategies. Develop SKU-level inventory plans across D2C channels and markets to support business needs and product availability.
- Own inventory health and replenishment planning for assigned categories and SKUs. Monitor inventory levels, analyze selling trends, and proactively identify risks and opportunities, including potential stockouts, excess inventory, and slow-moving products. Recommend actions to optimize inventory productivity and availability.
- Translate demand forecasts, sales trends, and product insights into SKU-level buy quantities. Execute purchase orders and adjust purchasing recommendations based on evolving demand, inventory availability, and business priorities.
- Maintain accurate inventory and on-order positions to support the Open-to-Buy (OTB) process. Provide bottom-up analysis of inventory needs, upcoming purchases, and potential risks to inform category-level inventory and financial plans.
- Partner with Supply Chain to align inventory requirements with production lead times, minimum order quantities (MOQs), supplier capacity, and shipping timelines. Proactively identify and communicate potential supply constraints.
- Support inventory allocation and distribution across D2C channels and markets, ensuring the right products are available in the right locations at the right time while balancing customer demand and inventory efficiency.
QUALIFICATIONS:
- 3+ years of experience in inventory management, demand planning, merchandise planning or allocation planning within a consumer goods or innovation-driven industry
- Advanced Excel skills and a strong understanding of retail math required.
- Experience with ERP systems (e.g., NetSuite) and demand and inventory planning platforms (e.g., o9, Anaplan, Blue Yonder, or similar tools) is a plus.
- Experience with AI tools or analytics platforms is a plus, especially for forecasting or demand modeling.
- Strong analytical and problem-solving skills, with the ability to interpret complex data and translate insights into strategic decisions.
- Excellent communication and interpersonal skills; comfortable collaborating with cross-functional teams across operations, supply chain, and marketing.
- Proven ability to thrive in fast-paced, high-growth environments with competing priorities and tight deadlines.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $80,000 - $110,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: United States Remote
Workplace: Remote
ABOUT THE TEAM
Mural helps teams think, decide, and follow through together. AI made producing content cheap. It did not make agreement, commitment, or follow-through any easier. The AI Workflows team builds the AI and agentic experiences inside Mural that help teams reach decisions and keep them.
YOUR MISSION
You will own the outcomes for new AI experiences from first idea to proven value. You will partner with the Engineering Manager and the Agentic Design Director for AI Workflows as counterparts, and together you will own the strategy. You will work with a wider team of engineers, ML engineers, designers, and product managers, moving from hypothesis to working prototype to evidence in weeks, not quarters. You will build prototypes yourself and decide what ships, what changes, and what we stop, based on what users do and what the evals tell us.
WHAT YOU'LL DO
- Set strategy for AI Workflows together with your engineering and design counterparts, own the outcomes and the evidence behind what we build, and engage deeply in the end-to-end user experience
- Find the team workflows where AI adds clear value, at the intersection of collaboration, alignment, and decision making.
- Build working prototypes with modern AI tools (Claude, Cursor, Codex, or similar) to test ideas with users before committing further investment.
- Turn each release into a hypothesis with pass/fail criteria, and make the call on whether to iterate, scale, or kill it.
- Define product-quality evals with engineering that measure usefulness, trust, and reliability, and own the call on whether an experience meets the bar to ship.
- Decide with engineering and ML when to use frontier models, when to route across models, when to bring in a new model, and when a model of our own is worth building.
- Understand the cost to serve each workflow, and work with growth and finance on how usage is metered and what the unit of value is.
- Set up the data loops that improve quality, including what we collect, how we label it, and how it feeds evals and model work.
- Design agentic experiences that work in real multiplayer sessions, where people need to understand, steer, and correct what the agent does.
- Talk with users every week and bring what you learn back into the work.
- Work with design, engineering, marketing, sales, legal, and security teams to align on shipping decisions.
- Share what you learn across the product organization so other teams can adopt the practices that work.
WHAT YOU'LL BRING
- 7+ years in product management, including shipping at least one AI product from concept to real users.
- Recent hands-on experience building agentic or LLM-based products, including what went wrong and what you changed.
- Technical fluency to design and read evals, and to work as a peer with engineers and ML engineers on context management, latency, reliability, and failure modes.
- Sound judgment on model decisions: comparing models, routing across them, adopting new ones, and deciding when fine-tuning or a custom model is worth it.
- Understanding of AI unit economics, including cost to serve, usage-based metering, and how model choices change margin.
- A record of launching, rebuilding, changing direction, and killing ideas based on evidence
- Comfort making high-stakes decisions with incomplete information, and being candid about the tradeoffs.
- Experience owning outcomes while partnering with expert engineering and design leaders as true counterparts.
- Experience creating structure where no playbook exists.
- Experience with collaboration or productivity software.
- Experience with forward-deployed or customer-embedded product work.
- Experience with agent interoperability, including MCP.
EQUAL OPPORTUNITY
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Location: Remote - USA
Workplace: Remote
SOLUTIONS ARCHITECT
Our Solutions Architecture team connects business priorities with practical technical solutions, helping customers understand how Chainalysis can support their most important objectives.
In this role, you will provide technical leadership throughout the customer journey. You will turn complex requirements into clear recommendations, help customers envision how our products fit into their operating environment, and guide them toward measurable business outcomes.
As a Solutions Architect, you'll develop a deep understanding of Chainalysis solutions and the problems our customers are trying to solve. You'll explain complex concepts in a clear, compelling way to technical practitioners, business leaders, and executive stakeholders. You'll also build practical, customer-specific solutions that support deployment, integration, adoption, and long-term value.
In this role, you'll:
- Serve as a core member of the account team, partnering closely with Sales, Services, Customer Success, Product, and Engineering.
- Take ownership of customer outcomes across the full lifecycle, from initial discovery and solution design through investigation support, compliance program delivery, deployment, enablement, adoption, and expansion.
- Lead discovery conversations that uncover customer objectives, operational pain points, use cases, technical constraints, and success criteria.
- Translate business and operational needs into clear technical requirements, solution designs, and implementation paths.
- Articulate Chainalysis capabilities in a way that is relevant to each customer's compliance, risk, fraud, investigations, or security environment.
- Create tailored demonstrations, proof-of-value experiences, and technical narratives that show how Chainalysis can address customer priorities.
- Conduct blockchain investigations, deliver compliance and regulatory guidance, and build technical solutions such as notebooks, dashboards, automation workflows, data integrations, reference architectures, and agentic workflows.
- Develop AI-assisted workflows that accelerate and automate investigations, analysis, and customer processes, adapted to each customer's operating model, data, controls, and risk framework.
- Design automation that fits into existing compliance, risk, fraud, investigations, or security operations rather than requiring customers to redesign how they work.
- Help customers access and operationalize Chainalysis data through APIs, integrations, and fit-for-purpose technical patterns.
- Provide guidance on solution architecture, API implementation, workflow design, data movement, and integration considerations.
- Drive platform adoption by connecting customer workflows to Chainalysis capabilities and identifying new use cases.
- Identify creative, responsible approaches to difficult customer problems, while balancing speed, scalability, security, maintainability, and measurable impact.
- Build trust through sound technical judgment, clear communication, reliable execution, and a strong understanding of the customer's business.
- Assemble the technical evidence base, including outcome data, consumption metrics, adoption analysis, and expansion signals, that supports quarterly impact reporting and renewal conversations.
- Build customer capability and self-sufficiency rather than creating ongoing dependence on the Solutions Architecture team.
- Own the feedback loop between customers and Product/Engineering, translating field insights and feature requirements into product improvements and bringing those improvements back to customers.
- Act as a trusted advisor to customers, meeting them at their current level of crypto-maturity and partnering with them to advance their understanding, processes, and outcomes.
- Represent Chainalysis at customer meetings, industry events, and conferences.
- Contribute to the wider Solutions Architecture team through reusable assets, knowledge sharing, internal initiatives, and better ways of working.
We're looking for candidates who have:
- Several years of experience in one or more relevant areas, such as financial services, compliance, investigations, fraud, cybersecurity, digital assets, transaction monitoring, sales engineering, solutions architecture, or enterprise product management.
- Experience making complex technical or operational concepts understandable to different audiences.
- Strong storytelling, presentation, and written communication skills, with the ability to engage both technical teams and executive stakeholders.
- A creative, structured, and investigative approach to solving challenging customer problems.
- Comfort working with technical tools and learning new technologies quickly. Experience with Python or another programming language, SQL, data analysis, notebooks, workflow automation, APIs, integrations, or AI tools is valuable.
- The curiosity and initiative to develop technical depth over time; you do not need to arrive with a complete technical stack, but you should enjoy investigating how things work and building the skills to solve new problems.
- The ability to operate effectively when requirements are ambiguous, information is incomplete, or the best path forward has not yet been defined.
- A collaborative, generous approach to working with others, including a willingness to share knowledge, seek input, and improve team practices.
- A demonstrated focus on measurable customer outcomes, not simply technical activity or product usage.
- An interest in blockchain and a desire to keep building your understanding of the technology, the market, and the customers we serve.
Total Compensation:
• Base Salary Range: $160,000-$185,000
• Offers Commission: 75/25 OTE
• Offers Equity
AI at Chainalysis
AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.
AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.
About Chainalysis
Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.
You belong here.
At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.
Location: United States
Are you a sports performance professional considering a career change?
Are you motivated by performance, accountability, and the challenge of building something within a defined territory?
If you have a sports performance background — Sports Science, Athletic Training, Strength & Conditioning, or similar — and are hungry to learn the craft of consultative field sales, this Business Development Manager (BDM) role at VALD may be the next step in your career.
About VALD
VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to over 10,000 clients in over 150 countries. If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies.
Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 30 countries, with 5 offices across four continents.
Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD's suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation.
About the VALD Business Development Manager Role
This is a
FIELD SALES role
with defined territory ownership.
While this position is considered “remote” in that VALD does not operate a local office in every territory, this is not an inside sales or work-from-anywhere role. Business Development Managers are expected to spend time in the field meeting clients, performing product demonstrations, and developing relationships across their assigned territory.
Location & Residency Requirements
Applicants must live within 60 minutes of a major airport in the posted states associated with this role and able to travel around 3–4-hour radius of where they live.
Candidates who do not currently live within the territory must be willing to relocate within 30 days of offer/start date.
Applications from candidates planning to relocate will be considered; however, priority is given to qualified candidates already residing within the territory or those who have a history/network within the assigned territory
No relocation reimbursement is offered
.
About the VALD Business Development Team
The Business Development team are on the front line for VALD. As part of a truly global team, you will attend conferences and perform product demonstrations (both in-person and teleconferences) in clinical, performance, and tactical settings. You'll set up and oversee product trials, nurture new leads and look for new opportunities for VALD.
With an education-based approach to sales, as a Business Development Manager, you must have an intimate knowledge of VALD's systems. You'll leverage your industry expertise and product knowledge to demonstrate how our clients can get the most out of our systems to provide value to their business.
Is this you?
Travel & Field Expectations
Approximately 50% travel, primarily regional.
Frequent day travel by car, with regular overnight stays depending on territory.
Limited air travel may be required based on geography (all work-related travel is reimbursed)
Standard working hours are expected, with occasional evenings or weekends required for conferences, events, or lead follow-up.
Reliable personal vehicle required (all work-related mileage is reimbursed).
Ability to transport and demonstrate VALD equipment; carrying demo equipment up to ~75 lbs is required. Vehicle suitability (to fit VALD systems) can be discussed during interviews.
Qualifications & Experience
Background in sports performance (ATC, S&C, Exercise Science, or similar)
New graduates welcome; preferred candidates have 2+ years of field experience
Strong communication skills across in-person, virtual, and written formats
Comfort with cold prospecting (drop-ins, calls, emails)
Confidence engaging with professionals at all levels (students to executives)
Experience using CRM platforms (HubSpot preferred) and Microsoft 365 tools
Prior field sales experience is considered
only
if aligned with clinical background and having sold within subscription-based sales models
Who Succeeds in This Role
The strongest BDMs at VALD share two defining traits:
Lifelong learners
— curious, coachable, and driven to improve their craft.
GRIT
— able to handle rejection, fail forward, accept feedback without ego, and stay focused on long-term success.
This role is well suited for:
Health professionals seeking a career change into sales
Early-career BDMs
Mid-career sales professionals with relevant clinical and industry background
Key Responsibilities
Own and manage a defined sales territory, focusing on high schools
Self-generate a sales pipeline through outbound prospecting and marketing driven inbound opportunities
Conduct in-person and virtual product demonstrations & oversee client trials
Work full-cycle sales opportunities in partnership with Contracts and Client Success
Achieve monthly and quarterly quota targets based on quantity of systems sold
Accurately manage pipeline activity using CRM tools (HubSpot experience is a plus)
Represent VALD professionally at conferences, events, and industry meetings
Compensation & Benefits
Commission and on-target bonus structure
Home office setup or co-working allowance offered
Full VALD equipment demo kit, iPad, and a work computer
Monthly expense reimbursement
Monthly fitness and wellness allowance
Medical, vision, dental insurance, and 401(k)
It’s not expected that any single candidate would check every box here. If you meet just some of the requirements, but not all, we encourage you to submit your application!
We strongly encourage you to apply if you’re at all interested. Show us how your experience could improve our team and widen our perspective. Our selection process includes assessing the requirements of the role vs the individual, and how well we think they will work in the VALD team.
Why VALD?
At VALD, you’ll join a global team redefining how performance and healthcare professionals measure and improve human movement.
We offer opportunities to learn from high-performing teams, collaborate across disciplines, and grow within a company that values curiosity, accountability, and impact. Semi-annual global team gatherings provide opportunities for professional development and connection, while our culture prioritizes inclusion, diversity, and long-term growth.
VALD Diversity & Inclusion Commitment
VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background and sexual orientation. We welcome applications from people from all backgrounds.
Conditions of Employment
Successful applicants will be subject to background checks (including identity and criminal record checks). It will be a condition of employment that the background checks return acceptable results.
Location: San Francisco, California
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
Notion's mission is to make toolmaking ubiquitous—from wikis and documents to notes, tasks, and databases. Strong product intuition and user focus have driven adoption across organizations of all sizes. Millions of users now rely on Notion's building blocks to get work done.
As Notion scales, there's a unique opportunity to build the data foundations that help our product and company reach their full potential. You'll design and build reliable, trusted datasets that accelerate decision-making across product and business functions, directly impacting our roadmap and growth.
This role is based in our San Francisco Headquarters. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Define ETL processes and infrastructure to make data readily available across the company
- Build core datasets as single sources of truth for product and business teams (product, marketing, sales, finance, customer experience, data science, operations, IT, engineering)
- Partner with data scientists and stakeholders to understand their needs and design, build, and monitor pipelines that scale with our growing data
- Implement automated workflows that reduce operational costs, define SLAs for timely data delivery, and democratize data through self-serve dashboards, discovery tools, and AI-enabled exploration
SKILLS YOU'LL NEED TO BRING:
- Self-starter who gathers high-impact needs from business partners, designs technical solutions, and communicates clearly about deliverables, timelines, and tradeoffs
- 5+ years of experience as a data engineer building core datasets and supporting business functions, with a passion for analytics, data modeling, and solving complex problems
- Strong understanding of scalable cloud data solutions (AWS, GCP, Azure) across multiple data stores (Snowflake, Redshift, Hive, SQL/NoSQL, columnar formats) and methodologies (dimensional modeling, data marts, schemas)
- SQL expert, proficient with aggregation, window functions, UDFs, self-joins, and optimization techniques for writing correct, high-performance queries
- Highly comfortable with object-oriented programming (Python, Java, Scala)
- Expert at using AI and agent-based tools to accelerate data development for yourself and others, including defining guardrails, workflows, and context for safe, production-scale data work
NICE TO HAVES:
- Experience at a fast-scaling or SaaS company, with enthusiasm to contribute in such an environment (current Notion users especially welcome)
- Hands-on experience designing and building highly scalable, reliable data pipelines using BigData stack tools (e.g., Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift)
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $179,000 - $200,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity:
Make a difference.
Are you looking for something new in your career? Enjoy a challenge? Love to innovate and learn? This is an exciting opportunity to join a technology startup in a high growth phase. Our Enterprise Solutions Engineering team are our in-house, customer-facing product experts. The Enterprise SE team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure they are happy and successful. We share our technical and product expertise with customers through demos, hands-on enablement, presentations, technical evaluations and ongoing interaction. We also partner closely with our Sales team to help qualify and close opportunities. The Enterprise SE team is also one of the primary routes of communication from our customers through into the Product Management and Engineering teams.
What You’ll Be Doing:
Join as an early member of a high growth team working together to solve technical and customer problems the right way
Partner with our Sales team to articulate the overall Grafana value proposition, vision, and strategy to customers
Own the technical engagement with customers and help to close high-velocity opportunities through advanced competitive knowledge, technical skill, and credibility
Deliver product and technical presentations to potential and existing customers
Proactively communicate with customers and internal teams to provide a feedback loop on our products and the competitive landscape
Drive product conversations based on need and problems learned during customer interactions
Work with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles, and create other public and internal enablement material
What Makes You a Great Fit:
Ideally located on the West Coast
5+ years of technical pre-sales experience, ideally with Open Source technologies, or in the Metrics/Monitoring space while we will be adding more junior folks later on, right now we just need team members that can hit the ground running.
We’re a startup so your job duties will be varied and complex and will require strong judgment, collaboration, and leadership
We are a remote-first company so you would need to learn to work and collaborate with an international team
You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. You will need to be able to skillfully articulate our value proposition and the technical advantages of our products
You will love solving technical challenges and thrive on bringing creative solutions to our customers
You should have a technical mindset and a desire to grow technically. Great candidates may be a recent grad of a coding bootcamp or have previous post-sales or engineering experience–we are excited to see what unique experiences and skill sets you bring to the table!
You are self-motivated, initiative, creative, and maybe you’ve already done a brave thing or two in your life!
Compensation & Rewards:
In the United States the OTE (On-Target Earnings) compensation range for this role is $204,000 - $254,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Singapore
Workplace: hybrid
Senior Delivery Lead - Singapore
We are looking for an ambitious, experienced Senior Delivery Lead to join our team. At Sokin, we are building a world-class delivery enablement team that can help our teams remove the borders, barriers and burdens from global business.
Delivery Enablement at Sokin is all about striving for best-in-class performance of our teams, providing the right people, tools and processes that allow them to deliver products that drive real value for our customers and the business.
This is an opportunity for someone who wants to be part of something challenging and transformative and who will play a critical role in coaching and supporting our incredible teams into the next phase of their journey and beyond.
About us:
Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency.
Our mission is simple: we’re simplifying global business - so businesses thrive wherever they choose to grow. We deliver services across:
• Global payments and receivables
• Foreign Exchange (FX)
• Treasury management
• Finance reconciliations
We are rapidly expanding, with established presence in EMEA, APAC, and North America, backed by a strong global infrastructure and industry-leading partners, we are redefining how businesses move money worldwide.
Our clients span industries from sports and entertainment to logistics and travel, and our community is growing rapidly. As we continue to expand, we’re building a team of exceptional people who share our ambition to transform the future of global payments.
The Role
In this role, you will work closely with Product Managers and delivery teams to understand their individual ways of working, including Agile maturity, challenges, and opportunities for improvement.
Partnering with the Head of Delivery, you will help shape and advocate for the Delivery Framework, define and track north star metrics, and provide coaching, mentoring, and guidance to support teams in achieving their goals.
You will proactively identify and remove impediments to fast, high-quality, high-value delivery, collaborating both within Product Engineering and across wider stakeholder groups such as Operations. Where required, you will also take direct ownership and leadership of business‑critical delivery initiatives.
Requirements
·
Experience in payments or fintech, particularly at a company that has run multi-market licensing
· You have a deep understanding of Agile methodologies, frameworks and principles, but most importantly, are able to flexibly adapt these to individual teams and real-world challenges
· You are an excellent communicator with the ability to engage and inspire from individuals with varied roles, backgrounds and seniority levels
· You are experienced in leading and implementing change from both a human and process standpoint, with a wide toolbox of resources to influence and coach effectively
· You have experience leading complex, critical business-impacting projects across multiple teams, able to lead these projects with clarity, calmness and effective stakeholder and team management
· You are an excellent facilitator, confident in leading effective meetings and workshops
· You’re able to identify and analyse trends, impediments and opportunities at both a team and company level, developing potential solutions to support continuous improvement
· You are extremely effective at building relationships and promoting team culture, with the ability to drop into and back out of teams as you coach them through individual challenges and opportunities
· You will have, and promote, a mindset for continuous learning and experimentation to effectively influence change across the business
· You are organised and methodical, able to confidently prioritise your workload and understand where to add value
Please note, candidates will need to have the right to work in the jurisdiction that they are looking to work in.
Sokin is an equal opportunities employer and committed to maintaining an inclusive work environment. As a growing global startup with bases across multiple countries, we were established on and continue to promote an agile, flexible working culture. Please reach out to discuss any accommodations you may require during the recruitment process.
Location: Cardiff, London or Remote (UK)
🚀 We’re on a mission to make money work for everyone.
We’re waving goodbye to the complicated and confusing ways of traditional banking.
After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as
personal
and
business
bank accounts, we offer
joint accounts
,
accounts for 16-17 year olds
, a
free kids account
and
credit cards
in the UK, with more exciting things to come beyond. Our UK customers can also
save
,
invest
and
combine their pensions
with us.
With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!
We’re not about selling products - we want to solve problems and change lives through Monzo ❤️
📍London or Remote (UK) | 💰£79,000 - £93,000 + Incentive Awards tied to your performance +
Benefits
About the team:
Our Borrowing (lending) business is growing rapidly across both existing products and with the planned launch of new initiatives. As our lending portfolio grows, our second line of defence Credit Model Validation team is growing with it - and we’re looking for a Credit Model Validation Manager to join us!
Our Credit Model Validation team provides independent oversight and challenge to our model development teams in the first line of defence. We help Monzo grow safely and make sure the models we use are fit for purpose, appropriately governed and deliver good outcomes for our customers. You’ll join our validation squad and provide expert independent validation and oversight across a broad suite of credit models.
This is a generalist role rather than one focused on a particular model type. You’ll work across models used for impairment, capital, stress testing, forecasting and credit decisioning, including IFRS 9 PD, LGD, EAD and economic response models; decision science scorecards and origination PD models; and Net Present Value (NPV) / unit economics models.
Strong data and analytical skills are a must, as is broad expertise in credit risk modelling and model risk management. You’ll have hands-on experience in model validation and/or development within financial services, and be comfortable getting into the data and code to form an independent view across different model types.
Your day-to-day
Leading hands-on independent validation across Monzo’s credit model portfolio - covering models used for IFRS 9 impairment, capital and stress testing, forecasting, credit decisioning and unit economics - and making sure they are fit for purpose, appropriately governed and performing as expected
Reviewing and challenging key model-led credit risk assessments, including impairment adequacy, ICAAP and stress testing, using independent analysis to assess assumptions, limitations and impacts
Developing a deep understanding of Monzo’s credit models and how they are used, and using this to provide impactful input and challenge to model developers and users
Contributing to making model validation more consistent, scalable and technology-enabled - building reusable analytical tools and tests, experimenting with AI-assisted approaches and helping the team embed them safely
Reviewing ongoing model performance monitoring to ensure our lending models perform within our risk thresholds, and providing support to our first line of defence teams when action is required
Performing statistical analyses, model replication and challenger work where appropriate to test assumptions, assess performance and strengthen validation conclusions
Improving and helping to embed our Model Risk Framework, including our policies, standards, model inventory, governance and validation approach. This means making sure we follow up-to-date regulatory expectations and that our processes remain proportionate and relevant as modelling techniques evolve
Writing clear and impactful model validation reports, and presenting the findings and actions in relevant committees
Partnering with colleagues in first line of defence credit strategy, modelling and finance teams - and with wider risk teams across Monzo - to support effective model governance and consistent validation standards across the organisation
You should apply if you:
Have a strong background and practical experience in credit model development and/or validation across a range of model types. You’ll have meaningful experience with IFRS 9 impairment, Internal Ratings Based (IRB) or other capital models, alongside broader exposure to several areas such as stress testing, economic response, forecasting, decision science scorecards or NPV / unit economics modelling
Understand model risk management in practice, including independent validation, model governance, ongoing monitoring, model change and issue management, and how regulatory expectations apply across the model lifecycle
Are impact-driven and want to improve how validation is done, not only complete individual reviews. You can turn repeatable work into practical methods, tools or guidance that improve quality and consistency across the team.
Are curious about AI and automation, and can assess where they add value, the risks they introduce, and the controls and human oversight needed. Experience with AI-assisted analytical or coding tools is useful, but not essential
Are data driven, with strong analytical skills and deep knowledge of statistical techniques for credit and model risk. Strong SQL and Python skills are essential. You can produce clear, reusable and tested code, using collaborative practices such as version control, peer review and documentation. Experience with Tableau, Looker or similar is a plus.
Can assess models in the context of how they are used - including accounting, capital, credit strategy, risk appetite and customer outcomes - and can distinguish technical model performance from the wider risks of relying on the model
Have strong written and verbal communication skills, and are able to articulate problems and solutions using clear and simple language. This is particularly important for breaking down complex issues and priorities to non-experts
Have a track record of building and maintaining trusting relationships with stakeholders at all levels, and can provide effective and respectful challenge
Our technology stack
We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):
Google Cloud Platform
for all of our analytics infrastructure
dbt
and
BigQuery SQL
for our data modelling and warehousing
Python for data science and machine learning
Go
to write our application code
AWS
for most of our backend infrastructure
The interview process:
Our interview process usually involves up to four main stages via Google Meet:
An initial call with our recruiter
A call with our Senior Model Validation Manager, the hiring manager for the role
A role-specific call with colleagues from our credit modelling and model risk teams. We’ll share a short case study in advance, but you won’t need to submit a written response; we’ll use it to guide the discussion during the interview.
A behavioural interview
🙌 What’s in it for you
💰 £79,000 - £93,000 + Incentive Awards tied to your performance benefits.
📍 This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).
⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team.
📚 £1,000 learning budget each year to use on books, training courses and conferences.
🏡 We will set you up to work from home; all employees are given MacBooks and for fully remote workers we will provide extra support for your work-from-home setup.
➕ Plus lots more! Read our full list of
benefits
.
We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them
here
.
We’ll close this role once we have enough applications for the next stage, so please apply as soon as you can - we don’t want you to miss out!
#LI-TK1
Equal opportunities for everyone
Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our
blog
, 2026
Diversity and Inclusion Report
and 2025
Gender Pay Gap Report.
We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.
If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊
Location: Remote-Sao Paulo; Remote-Mexico City
Workplace: Remote
LIFE AT UIPATH
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
YOUR MISSION
The Senior Business Analyst (Sr. BA) helps lead complex, cross-functional automation initiatives and drives high-value automation opportunities across the enterprise for Banking and Financial Services Customers. This role operates with a high degree of autonomy and serves as a strategic advisor to business stakeholders, ensuring automation solutions deliver measurable business outcomes aligned to enterprise objectives.
The Sr. BA goes beyond documenting processes — they identify transformational automation opportunities, influence solution design decisions, shape change adoption strategies and contribute to reusable assets and best practices that elevate UiPath’s internal automation maturity.
WHAT YOU'LL DO AT UIPATH
Strategic Opportunity Identification & Business Case Development
- Proactively identify and evaluate high-value, cross-functional automation opportunities aligned to enterprise strategy.
- Assess feasibility, complexity, scalability, and ROI of automation initiatives.
- Define and quantify business cases with measurable outcomes (cost savings, efficiency gains, risk reduction, quality improvement).
- Act as a trusted advisor to stakeholders in prioritizing automation initiatives.
- Contribute to building and sustaining a robust automation pipeline.
Complex Process Analysis & Solution Shaping
- Lead end-to-end discovery for complex processes, including detailed As-Is and scalable To-Be designs.
- Collaborate with Solution Architects to influence high-level solution architecture decisions.
- Ensure requirements are complete, scalable, and aligned to enterprise architecture standards.
- Serve as a quality gate for functional documentation (PDD validation and requirement clarity).
- Anticipate downstream impacts across systems, integrations, and operating models.
Stakeholder Leadership & Influence
- Lead workshops with senior stakeholders to shape automation vision and solution direction.
- Communicate automation sources of value in business terms tailored to executive audiences.
- Navigate ambiguity and resolve complex scope or requirement conflicts.
- Act as the primary liaison between business stakeholders, Solution Architects, and Developers.
- Guide and mentor junior Business Analysts when applicable.
Delivery Oversight & Cross-Functional Collaboration
- Partner with Solution Architects and Developers through design, testing, and deployment phases.
- Facilitate alignment on scope, acceptance criteria, and business validation.
- Independently manage analysis deliverables across multiple initiatives.
- Proactively identify risks, interdependencies, and mitigation strategies.
- Support Agile ceremonies and facilitate stand-ups as needed.
Change Management & Adoption Strategy
- Design and implement change management strategies to drive sustainable automation adoption.
- Develop stakeholder communication plans that promote “automation-first” mindset.
- Identify adoption barriers and implement mitigation strategies.
- Ensure business readiness for deployment and post-implementation transition.
Platform & Industry Expertise
- Maintain strong knowledge of UiPath platform capabilities and emerging automation technologies.
- Leverage enterprise application expertise (e.g., Salesforce, Workday, NetSuite, Concur, Coupa, etc.) to identify integration opportunities.
- Stay current on automation trends and recommend innovative use cases.
- Promote reuse of automation components and blueprint patterns.
Knowledge Contribution & Continuous Improvement
- Identify and document reusable solutions and process blueprints.
- Contribute to best practices, methodologies, and industry points of view.
- Develop internal case studies and success stories to promote automation impact.
- Drive continuous improvement in BA practices and documentation standards.
WHAT YOU'LL BRING TO THE TEAM
- 8+ years of experience in business process analysis, operations consulting, or automation initiatives.
- Experience working within the Banking and Financial Services Industry
- Demonstrated experience in complex, cross-functional process transformation.
- Experience with enterprise applications such as Salesforce, Workday, NetSuite, Concur, Coupa, etc.
- Strong analytical and conceptual problem-solving skills.
- Proven ability to influence senior stakeholders.
- Experience working in global, cross-functional environments.
- Bachelor’s or Master’s degree in Computer Science, Engineering, MIS, Business, Finance, Accounting, or related field.
- Strong English speaking and writing skills are required.
Preferred:
- Knowledge of UiPath and Agentic technologies.
- UiPath Business Analyst certification (Professional level preferred).
- Experience in Agile methodologies and JIRA or equivalent collaboration tools.
- Experience designing change management strategies.
#LI-KS6
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.
Location: Dubai, United Arab Emirates
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
The Team
Deliveroo for Work (DfW) is on a mission to deliver amazing experiences in the workplace and improve employee wellbeing. We bring the neighbourhood to your office, partnering with over 20,000 companies across Europe and the Middle East, simplifying the way they fund food for their employees and clients. The growth opportunity within this region remains huge, with 2026 being a crucial year to scale the business. Find out more about DfW and the services we provide here:
https://work.deliveroo.ae/
The Role
The Corporate Account Manager role is an integral part of our B2B team in the UAE, with the primary responsibility of managing, retaining, and upselling a portfolio of corporate clients. This role will predominantly focus on building relationships with senior corporate stakeholders across mid-market clients, and will suit a highly organised and collaborative individual who prides themselves on delivering an exceptional level of service for their accounts.
What You’ll Be Doing
Setting up meetings and video calls with corporate POCs to review their spend, while pitching new use-cases, upselling and cross-selling accounts wherever possible.
Hitting assigned monthly KPIs, including meetings, GOV, and MAUs.
Providing account support wherever required, such as sharing order reports, finding solutions for minor technical issues, and supporting with organising client events.
Utilising Salesforce, Google Sheets, Looker, and AI tools to track, report, and present to leadership on performance and growth strategies.
Assisting with ad hoc tasks that fall under DfW’s scope, such as attending trade events, assisting with marketing activations, partnerships with the restaurant team, and chasing client payments.
Requirements
Excellent verbal and written communication skills in English are a must; Arabic is a plus
3+ years of B2B account management experience, with a demonstrated track record of growing a portfolio through a consultative and data-driven approach
Based in Dubai
Highly proficient in using Salesforce and Google Sheets/Slides
Highly proactive, quick learner, team player, and thrives within a fast-paced startup environment
Bachelor's degree preferred
Why Join Us?
At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving.
We’re food lovers, problem solvers, community builders, and more, brought together by a shared drive to make things better. Working here, you can expect to:
🔧
Make a visible impact every day
Your work directly improves experiences for customers, partners and riders.
🌱
Learn fast in an entrepreneurial environment
Work close to the market with autonomy, pace and real responsibility.
🧠
Build a career, not just a role
Stretch yourself, develop new skills and grow as the business evolves.
🌎
Deliver together in an inclusive culture
Collaborative, values-driven teams that support how you work best.
We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find out more about how we hire
here
.
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Location: Worldwide
As we continue to grow, we’re looking for a
Talent Acquisition Specialist
Middle+
to join our
Non-IT Talent Acquisition team
.
In this role, you’ll own the end-to-end recruitment process for Product Managers, Product Designers, and Business Analysts — from the initial briefing to offer acceptance. You’ll work closely with hiring managers, act as a trusted partner, and help us attract exceptional talent.
If you enjoy taking ownership, building strong partnerships, and making an impact in a fast-paced, product-driven environment, we’d love to hear from you.
Challenges that await you:
Managing the full-cycle recruitment process — from role briefing to offer acceptance — with a primary focus on Product Managers, Product Designers, and Business Analysts
Building strong partnerships with hiring managers to understand team needs, define candidate profiles, and align on hiring strategy
Developing and executing sourcing strategies across LinkedIn Recruiter, job boards, and alternative channels
Conducting HR interviews to assess candidates’ experience, competencies, motivation, and alignment with the role
Tracking and analyzing key recruitment metrics to identify opportunities for improvement and optimize the hiring process
Managing the offer process, including candidate communication, negotiations, and offer acceptance
Improving recruitment processes and contributing to team-wide initiatives
What makes you a great fit:
3+ years of experience in full-cycle recruitment with a deep understanding of Non-IT roles (Product, Design, Analytics etc.)
Excellent communication and stakeholder management skills — you know how to build trust with hiring managers and deliver results
Strong analytical mindset, with experience using data and recruitment metrics to improve hiring efficiency
A proactive approach to identifying bottlenecks and improving recruitment processes
Ability to manage multiple roles and priorities in a dynamic environment
B2 or higher English level for effective communication with an international team
Our ways of working:
Innovative Spirit:
A commitment to creativity and groundbreaking solutions
Honest Feedback:
valuing open, transparent communication
Supportive Team:
a strong, collaborative community
Celebrating Achievements:
recognizing our wins together
High-Tech Environment:
a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances
Our benefits:
Flexible work
from one of our offices - Cyprus or Georgia
Healthcare
Coverage
Education Budget:
Language lessons, professional training and certifications
Wellness Budget:
Mental health and fitness activity reimbursements
Vacation policy:
20 days of annual leave and paid sick leave
Location: San Francisco Bay Area, California, United States; San Francisco, California, 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.
Nebius is looking for a community-focused professional to join our global startup team as Startup Community Manager.
In this role, you will lead community engagement and activation across Nebius' venture capital ecosystem, developing programs that connect investors, founders, and high-potential AI startups. Your mandate is to build relationships with VC platform and community teams, working alongside Nebius' VC Alliances team to activate priority venture partnerships through meaningful programming and portfolio engagement.
You will lead partner outreach, develop curated programming, and bring together the right mix of investors and portfolio founders through intimate dinners, roundtables, and other community experiences that create value for the broader startup ecosystem. This role sits at the intersection of startup community development, ecosystem partnerships, and program activation, working closely with internal teams to expand Nebius' reach among high-potential AI companies.
This position is based in the San Francisco Bay Area. Our San Francisco office is available for collaboration, but regular office attendance is not required.
Your responsibilities will include:
Lead Community Engagement & Ecosystem Activation
Build and manage relationships with VC platform and community teams to identify opportunities for portfolio engagement and collaborative programming.
Partner with Nebius' VC Alliances team to activate priority venture relationships through targeted community initiatives.
Develop a repeatable engagement model that strengthens Nebius' connections with VC-backed founders and startup communities.
Lead Community Programming & Ecosystem Activations
Design and execute curated programs, including founder dinners, investor roundtables, and portfolio gatherings, in collaboration with venture ecosystem partners.
Own end-to-end program development, including partner coordination, audience prospecting, invitation strategy, execution, and follow-up.
Create high-value experiences that bring together the right mix of investors and portfolio companies while serving the needs of the startup ecosystem.
Drive Portfolio Engagement & Startup Ecosystem Growth
Identify and engage high-potential VC-backed startups aligned with Nebius' priority industries and customer profiles.
Collaborate with Venture ecosystemand Sales teams to facilitate portfolio introductions and continued founder engagement.
Surface emerging startup opportunities and ecosystem insights to inform Nebius' broader startup strategy.
Measure Community Impact
Track and report on community partner engagement, portfolio company participation, program performance, and startup pipeline influence.
Use partner feedback and engagement insights to continuously improve programming and strengthen community activation.
We expect you to have
3–5+ years of experience in startup ecosystem development, community building, strategic partnerships, or event programming.
Experience working with venture capital platform teams, startup founders, or VC-backed startup communities, ideally within AI or enterprise technology.
Demonstrated ability to build and manage relationships through proactive outreach and ongoing engagement.
Experience designing and executing curated founder, investor, or executive-level programs.
Strong audience development, relationship management, and organizational skills.
Ability to operate independently in a fast-moving, cross-functional environment.
A strong interest in AI, emerging technologies, and the venture capital ecosystem.
It will be an added bonus if you have
Existing relationships with Bay Area VC platform teams and startup founder communities.
Experience managing VC portfolio engagement or investor-focused community programs.
A track record of translating ecosystem engagement into meaningful startup relationships and business opportunities.
Familiarity with AI infrastructure, cloud computing, or developer tools.
Key employee benefits in the US: #LI-LG1
Health insurance:
100% company-paid medical, dental, and vision coverage for employees and families.
401(k) plan:
Up to 4% company match with immediate vesting.
Parental leave:
20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote work reimbursement:
Up to $85/month for mobile and internet.
Disability & life insurance
: Company-paid short-term, long-term and life insurance coverage.
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
$140,000
—
$170,000 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: Afton, Texas
Who We Are:
Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America.
The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia.
Additional information about Galaxy's businesses and products is available on
www.galaxy.com
.
What We Value:
We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be.
Seek Excellence.
Be Selective To Be Effective.
Be Highly Aligned, Loosely Coupled.
Disagree Transparently.
Encourage Independent Decision-Making.
Build Dream Teams.
Who You Are:
You are a hands-on technical professional who enjoys working directly with enterprise infrastructure and helping colleagues solve IT problems. At Galaxy’s Tier 4 AI data center in Afton, Texas, you will work closely with Site Reliability Engineering and Network Engineering to deploy and maintain high-density GPU compute and high-performance networking infrastructure. You are comfortable troubleshooting servers,
physical connectivity, Windows and macOS endpoints, and day-to-day employee technology issues. You follow documented procedures, communicate clearly, and are
eager to grow your networking, systems administration, and infrastructure engineering skills.
What You'll Do:
Site Reliability Engineer (SRE) works to execute infrastructure deployments, maintain server and network hardware, troubleshoot physical connectivity, and support data center reliability. It also serves as an on-site IT support resource for Windows and macOS devices, endpoint management, account administration, and general technical troubleshooting
.
Key Responsibilities:
Network Cabling & Connectivity
Install, label, route, and maintain copper and fiber optic cabling.
Troubleshoot physical connectivity involving cables, transceivers, patch panels,
and switch ports.
Perform basic copper and fiber connectivity testing using appropriate tools.
Assist Network Engineering with physical-layer troubleshooting, equipment installation, and connectivity changes.
Document cabling issues, port assignments, equipment connections, and rack elevations.
Escalate complex network issues with clear troubleshooting findings.
Onsite IT & End-User Support
Provide Tier 1 and basic Tier 2 support for hardware, software, operating systems, account access, and connectivity.
Provision, configure, deploy, troubleshoot, and maintain Windows and macOS laptops, desktops, and endpoint devices.
Assist with device enrollment, configuration, application deployment, and compliance through MDM platforms such as Microsoft Intune.
Support user accounts, password resets, access troubleshooting, and basic group management in Active Directory and Microsoft Entra ID.
Troubleshoot Microsoft 365 applications, including Outlook and Teams.
Support onboarding and offboarding, including device preparation, access, and equipment recovery.
Install and troubleshoot printers, peripherals, conference room equipment, and on-site technology.
Maintain device assignments, asset inventory, and endpoint lifecycle records.
Track, document, and resolve IT support requests through the ticketing system.
Infrastructure Reliability & Operational Support
Respond to infrastructure alerts, hardware failures, and onsite incidents under SRE and Network Engineering direction.
Perform routine equipment inspections and basic infrastructure health checks.
Assist incident investigations by gathering information and performing on-site diagnostics.
Follow change management, maintenance windows, and documented SOPs/MOPs.
Document completed work, troubleshooting, and infrastructure changes.
Collaborate with engineering teams and vendors to resolve technical issues.
Participate in scheduled maintenance, including occasional after-hours work.
What We’re Looking For:
1–3 years of experience in data center infrastructure, IT support, desktop support, or a related technical role.
Hands-on experience installing, cabling, maintaining, or troubleshooting physical servers, switches, or enterprise IT equipment.
Familiarity with racks, structured cabling, fiber optics, and basic data center hardware maintenance.
Experience supporting and troubleshooting Windows and macOS.
Familiarity with endpoint management or MDM solutions, preferably Microsoft Intune.
Basic experience with Active Directory and/or Entra ID user account and access management.
Understanding of IP addressing, Ethernet, DNS, DHCP, and basic connectivity troubleshooting.
Experience troubleshooting end-user hardware, software, and peripherals.
Familiarity with IT ticketing, technical documentation, and inventory management.
Ability to follow technical instructions and engineering direction accurately.
Strong communication, organization, collaboration, and problem-solving skills.
Bonus Points:
Experience in enterprise
and/
or colocation data centers.
Familiarity with enterprise server platforms.
Exposure to networking equipment.
Experience with fiber optics, transceivers,
and/
or high-speed links.
Experience with Intune enrollment, configuration profiles, compliance policies,
and/
or application deployment.
Experience with Microsoft 365 administration
and/
or endpoint security tools.
Basic familiarity with
Hypervisor virtualization, VM management, and self hosted enterprise storage.
Exposure to
cable certification, fiber testing,
and/
or network diagnostic tools.
Familiarity with infrastructure monitoring, asset management,
and/
or documentation platforms.
Basic PowerShell, Bash, or Python scripting experience.
Experience with employee onboarding, device lifecycle,
and/
or IT asset tracking.
Familiarity with IT change management and incident response.
OSHA 10-Hour or OSHA 30-Hour Outreach Training completion (construction or general industry); current training card preferred.
What We Offer:
Competitive base salary and discretionary bonus
Paid Time Off
Company-paid health and protective benefits for employees, partners, and other dependents
Company Paid Holidays (14)
3% 401(k) company contribution
Generous paid Parental Leave
Free virtual coaching and counseling sessions through Headspace
Opportunities to learn about the Crypto industry
Free daily snacks and daily meals
Smart, entrepreneurial, and fun colleagues
Employee Resource Groups
Benefits may vary depending on location.
Apply now and join us on our mission to engineer a new economic paradigm.
Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances.
We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact
careers@galaxy.com.
Location: Toronto, Ontario
Workplace: Hybrid
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
🚀 THE ADVENTURE AHEAD
As our Manager, Business Development, you won’t just manage a pipeline—you’ll be the strategic engine driving Docebo’s next era of global growth in the AI-powered learning space. You will mentor, champion, and inspire an ambitious team of outbound pioneers, transforming aggressive targets into collective victories and career-defining milestones. Partnering shoulder-to-shoulder with sales, marketing, and executive leadership, you’ll architect modern engagement playbooks that open doors to premier global brands. If you’re energized by the thrill of coaching rising stars, challenging conventions, and making an indelible mark on an industry leader, this is your launchpad.
⚡ THE DAY-TO-DAY
- Coach & Inspire the Team: Guide, mentor, and elevate a high-performing team of Business Development Representatives, fostering an inclusive, collaborative culture where continuous learning and shared wins thrive.
- Architect the Growth Engine: Design and execute high-converting outbound business development strategies that captivate prospective enterprise buyers, unlock new market territories, and accelerate revenue pipeline.
- Forge Cross-Functional Alliances: Collaborate in lockstep with Sales, Marketing, and Product teams to align go-to-market initiatives and engineer seamless, high-converting lead handoffs.
- Decipher the Data: Dive deep into team analytics—from lead generation volume and conversion velocities to bottom-line revenue impact—leveraging actionable data to pivot tactics and drive decisions.
- Champion Strategic Relationships: Cultivate lasting rapport with key executive prospects, partners, and internal stakeholders, serving as an executive sponsor for high-value enterprise pursuits.
- Relentlessly Elevate Processes: Identify workflow bottlenecks, deploy modern sales enablement tools, and embed scalable operational best practices that supercharge day-to-day team efficiency.
🦸 YOUR SUPERPOWERS
- Proven Leadership Prowess: 6+ years of relevant experience in business development, highlighted by a track record of successfully leading, coaching, and developing high-performing teams in a dynamic SaaS environment.
- Target-Crushing Track Record: A proven history of consistently meeting and exceeding ambitious pipeline generation and revenue targets while inspiring teams to achieve their personal best.
- Sales Tech Mastery: High proficiency with modern sales enablement tools, including Salesforce, Gong, and LinkedIn Sales Navigator.
- Sharp Analytical Acumen: Natural fluency with pipeline metrics and data, with the proven ability to track team performance and translate analytics into winning tactical adjustments.
- World-Class Communication: Exceptional interpersonal, coaching, and stakeholder-management skills, capable of building rapport with C-level prospects and motivating teams across the organization.
- Empathetic Leadership: A servant-leader mindset dedicated to nurturing an inclusive, high-trust environment where every team member is empowered to bring their unique strengths to work.
OUR HYBRID WORK PHILOSOPHY 🤝
Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.
OUR TOTAL REWARDS PHILOSOPHY 🎉
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
- Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
- Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
- Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.
OUR PROMISE TO YOU 😍
- Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
- Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
- Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
- Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
- Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.
ABOUT DOCEBO 💙
At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world.
Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law.
As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities.
Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.
Противоречивые условия: Most full-time research roles at Anthropic require relocation to San Francisco
San Francisco, CA | New York City, NY; Most full-time research roles at Anthropic require relocation to San Francisco
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; Applicants must live within 60 minutes of a major airport in the posted states associated with this role and able to travel around 3–4-hour radius of where they live; No relocation reimbursement is offered
San Francisco, California
seniorUnited States (Remote)
ГибридleadSingapore
Cardiff, London or Remote (UK)
УдалённоseniorRemote-Sao Paulo; Remote-Mexico City
seniorUnited States - Remote
Dubai, United Arab Emirates; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
middleМожно работать из любой страны
San Francisco Bay Area, California, United States; San Francisco, California, United States; Our San Francisco office is available for collaboration, but regular office attendance is not required