Location: Dublin, IE
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As one of the founding Startup Account Executives in EMEA, you’ll pioneer the adoption of safe, frontier AI across the region by securing strategic deals with some of the fastest growing technology companies in the world. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll build Anthropic's presence across EMEA's dynamic startup ecosystem, continuously refining our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape.
The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. As an early member of our EMEA sales team, you'll help establish Anthropic's commercial foundation in the region while advancing the ethical development of AI technology.
Responsibilities:
Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch
Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns
Spearhead market expansion by pinpointing new customer segments and use cases, collaborating cross-functionally to differentiate our offerings and sustain a competitive edge
Inform product roadmaps and features by gathering customer feedback and conveying market needs, providing insights that strengthen our value proposition and enhance the customer experience
Help define our regional GTM operations and sales methodologies by incorporating learnings into playbooks, templates, and best practices
You may be a good fit if you have:
5+ years of technical sales experience with a proven track record of driving adoption of emerging technologies with a consultative, solutions-oriented sales approach, preferably across EMEA markets
Familiarity working within complex sales cycles, selling to technical stakeholders, and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions
Success as a strategic business advisor, deeply understanding the needs of startup founders and creating innovative solutions that align with their vision and help them succeed
Exposure to negotiating complex, customized commercial agreements with multiple stakeholders
Demonstrated history of exceeding quota by effectively qualifying and advancing opportunities in a fast-paced work environment
Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives
A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player
Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities
Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly
A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities
A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
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:
€155.000
—
€205.000 EUR
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Paris; London
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
As a direct Business & Operations partner to our Solutions team, including Deployment Strategists and Applied AI Engineers. You will work closely with Solutions leadership to build & scale the operating system that powers value & operational excellence across pre-sales and post-sales activities.
You will translate our value vision into a scalable operating model by building automations, defining processes and ways of working, standing up KPIs and reporting, operationalising our internal ROI framework, feeding the feedback loop to capitalize on our successes, and embedding reusable value frameworks into customer engagements.
This role is critical to turning our go-to-market strategy into repeatable, AI-native action, aligning delivery quality, output per FTE, and customer satisfaction to improve the efficiency and impact of our Solutions organisation and accelerate the value Mistral delivers to customers.
WHAT YOU WILL DO
Operating System & Automation
- Build the secure-by-design operating system that links our tooling stack to the Solutions team’s needs, and design the internal tools & automations that raise output per FTE.
- Streamline Deployment Strategist operations across pre-sales scoping and delivery, compounding shared knowledge, templates, and reusable IP.
- Drive daily adoption of our AI layer throughout the Solutions team, productising internal work into reusable assets for the team.
Value Intelligence & ROI
- Operationalise the internal ROI framework per project / use case, defining and surfacing where we build value.
- Define the reporting layer and metric catalog (what we collect and surface) and build the dashboards that turn our data foundation into decisions and proof of value.
- Stand up the customer satisfaction measurement system (define, collect, surface) as a core input to value & operational excellence.
Processes, Ways of Working & Cross-Functional Collaboration
- Codify delivery playbooks, ways of working, and scaling programs end-to-end across the customer lifecycle
- Partner with Revenue Growth, People Growth, RevOps, CSMs and Product & Engineering to align the operating system with company strategy and fuel the flywheel.
- Ensure our operational processes are followed across geographies, embedding safety, security & compliance into our ways of working.
WHAT WE'RE LOOKING FOR
- 4+ years of experience in strategic operations, business operations, or a chief-of-staff role within technical sales or solutions engineering.
- Strong ability to bring structure to ambiguity and drive complex, cross-functional initiatives from strategy through execution.
- Proven track record in optimising processes, impacting business KPIs, and aligning resources with business priorities.
- Exceptional negotiation and diplomacy skills: ability to navigate complex stakeholder dynamics and align competing priorities.
- Hands-on, execution-focused mindset with a bias for action in ambiguous, fast-changing environments.
- Hands-on builder of internal tools and data workflows; comfortable turning manual processes into scalable systems.
- Strong analytical skills to design ROI and value frameworks, build reporting, and translate data into operational decisions.
- Technical acumen and AI fluency: understanding of AI implementation, use cases, and scaling challenges.
- Native-level fluency in English; additional European languages are a plus.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Mission: Lead the delivery of consulting, implementation, development, and support projects for customers in the education sector. Responsible for end-to-end delivery of projects ensuring on-time, within budget, and high-quality standards, serving as primary operational contact for customers. Accountable for measurable outcomes: on-time delivery, budget adherence, customer satisfaction, and retention.
Duties & Responsibilities:
Pillar 1 — Project Planning, Execution & Delivery:
— Develop comprehensive project plans covering scope, timeline, resource allocation, dependencies, and risk assessment.
— Monitor project progress against baseline and proactively identify issues or risks.
— Implement corrective actions and change management to keep projects on track.
— Coordinate internal resources and third parties/vendors to ensure project completion.
— Apply industry best practices, techniques, and standards throughout the project lifecycle.
— Monitor and handle Change Requests required for project implementation.
— Success Metrics: on-time delivery rate, schedule variance, budget variance, quality of deliverables, number of escalations resolved within SLA.
Pillar 2 — Client & Technical Account Management:
— Establish and maintain strong, trust-based relationships with clients and stakeholders.
— Communicate project status, progress, challenges, and risks effectively.
— Manage customer expectations and address concerns proactively.
— Engage with Premier Customers and Partners to ensure alignment on project goals and implementation.
— Oversee Premier customer onboarding, manage customization requests, and ensure smooth handover.
— Represent Premier Customer interests in discussions with Engineering; track and prioritize feature requests, code improvements, and bugfixes.
— Assist with implementation of new solutions, deployment of packages, hotfixes, upgrades; perform post-upgrade service checks.
— Guide Premier Customers in adopting Constructor Tech best practices including risk assessments and health checks.
— Maintain availability during Premier Customer business hours for timely support.
— Success Metrics: customer satisfaction (CSAT), Net Promoter Score (NPS), retention rate, feature request cycle time, onboarding completion time.
Pillar 3 — Incident Management, Quality & Reporting:
— Own all support incidents and requests from Premier Customers and drive to resolution.
— Coordinate escalations and conduct post-incident reviews and root cause analyses.
— Ensure adherence to quality standards and implement quality improvement initiatives.
— Retain Premier Support Customer CSAT and NPS through outcome-driven activities; own Service Levels and KPIs per contract.
— Provide trend analysis, current health status, and manager-defined KPIs on schedule or demand.
— Keep customer information updated and shared as internal knowledge content.
— Participate in support-related activities and handle non-premier support tasks as requested.
— Continuously build practical experience with Constructor Tech products and related software solutions.
— Success Metrics: incident resolution time, escalation rate, CSAT/NPS targets, SLA adherence, quality audit results.
Qualifications & Experience:
— Minimum five years of experience in IT project management (internal, customer implementation, and/or consultancy).
— Proven track record of successful project delivery (on time, within budget, and to quality standards).
— PMP certification preferred.
Skills & Competencies:
— Strong communication and interpersonal skills.
— Ability to work under pressure and meet deadlines.
— Good understanding of software development methodologies preferred.
— Results-oriented with focus on measurable delivery outcomes.
Education & Languages:
— Bachelor's degree in Computer Science, Information Technology, or related field.
— Fluent English; German is a bonus.
Role Characteristics:
— Delivery-focused and accountable for measurable project outcomes.
— Balance of project execution and strategic customer/technical account management.
— Hands-on, customer-facing, with clear targets and KPIs.
— Not a purely administrative or coordination-only position.
— Not a business development or sales role.
— Not measured by activity volume but by delivered results.
Mission: Lead the delivery of consulting, implementation, development, and support projects for customers in the education sector. Responsible for end-to-end delivery of projects ensuring on-time, within budget, and high-quality standards, serving as primary operational contact for customers. Accountable for measurable outcomes: on-time delivery, budget adherence, customer satisfaction, and retention.
Duties & Responsibilities:
Pillar 1 — Project Planning, Execution & Delivery:
— Develop comprehensive project plans covering scope, timeline, resource allocation, dependencies, and risk assessment.
— Monitor project progress against baseline and proactively identify issues or risks.
— Implement corrective actions and change management to keep projects on track.
— Coordinate internal resources and third parties/vendors to ensure project completion.
— Apply industry best practices, techniques, and standards throughout the project lifecycle.
— Monitor and handle Change Requests required for project implementation.
— Success Metrics: on-time delivery rate, schedule variance, budget variance, quality of deliverables, number of escalations resolved within SLA.
Pillar 2 — Client & Technical Account Management:
— Establish and maintain strong, trust-based relationships with clients and stakeholders.
— Communicate project status, progress, challenges, and risks effectively.
— Manage customer expectations and address concerns proactively.
— Engage with Premier Customers and Partners to ensure alignment on project goals and implementation.
— Oversee Premier customer onboarding, manage customization requests, and ensure smooth handover.
— Represent Premier Customer interests in discussions with Engineering; track and prioritize feature requests, code improvements, and bugfixes.
— Assist with implementation of new solutions, deployment of packages, hotfixes, upgrades; perform post-upgrade service checks.
— Guide Premier Customers in adopting Constructor Tech best practices including risk assessments and health checks.
— Maintain availability during Premier Customer business hours for timely support.
— Success Metrics: customer satisfaction (CSAT), Net Promoter Score (NPS), retention rate, feature request cycle time, onboarding completion time.
Pillar 3 — Incident Management, Quality & Reporting:
— Own all support incidents and requests from Premier Customers and drive to resolution.
— Coordinate escalations and conduct post-incident reviews and root cause analyses.
— Ensure adherence to quality standards and implement quality improvement initiatives.
— Retain Premier Support Customer CSAT and NPS through outcome-driven activities; own Service Levels and KPIs per contract.
— Provide trend analysis, current health status, and manager-defined KPIs on schedule or demand.
— Keep customer information updated and shared as internal knowledge content.
— Participate in support-related activities and handle non-premier support tasks as requested.
— Continuously build practical experience with Constructor Tech products and related software solutions.
— Success Metrics: incident resolution time, escalation rate, CSAT/NPS targets, SLA adherence, quality audit results.
Qualifications & Experience:
— Minimum five years of experience in IT project management (internal, customer implementation, and/or consultancy).
— Proven track record of successful project delivery (on time, within budget, and to quality standards).
— PMP certification preferred.
Skills & Competencies:
— Strong communication and interpersonal skills.
— Ability to work under pressure and meet deadlines.
— Good understanding of software development methodologies preferred.
— Results-oriented with focus on measurable delivery outcomes.
Education & Languages:
— Bachelor's degree in Computer Science, Information Technology, or related field.
— Fluent English; German is a bonus.
Role Characteristics:
— Delivery-focused and accountable for measurable project outcomes.
— Balance of project execution and strategic customer/technical account management.
— Hands-on, customer-facing, with clear targets and KPIs.
— Not a purely administrative or coordination-only position.
— Not a business development or sales role.
— Not measured by activity volume but by delivered results.
Location: Zürich, CH
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 Team
The Security team protects Anthropic's AI systems and maintains the trust of our users and society.
About the Role
At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. As a Research Engineer, you'll help to safely advance the capabilities of our models in incident response, security analysis, vulnerability remediation, and other areas of defensive cybersecurity.
This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic.
This role requires ML experience combined with domain expertise in cybersecurity. You might be an ML researcher with a history of cybersecurity work, or a security professional with a background in ML.
Responsibilities
Partner with researchers and safety teams across Anthropic to understand their analytical needs and build solutions
Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings
Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest
This role may require participation in an on-call rotation.
You may be a good fit if you
Have experience with machine learning.
Have experience in cybersecurity research.
Have strong software engineering skills.
Can balance research exploration with engineering implementation.
Are passionate about AI's potential and committed to developing safe and beneficial systems.
Strong candidates may also have
Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work.
Experience participating in or building CTF competitions and cyber ranges.
Academic research experience in cybersecurity or other experimental & research background.
Familiarity with RL techniques and environments.
Familiarity with LLM training methodologies.
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Shanghai
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
Global payments are complex and ever-evolving. At Checkout our software engineers develop the next-generation payments technologies that enable our Merchants to boost their acceptance rates, cut processing costs, fight fraud, and create cutting edge technology that enables extraordinary customer experiences.
We're looking for Senior Software engineers who bring fresh ideas, have a curious nature and are passionate about working in an Engineering environment which focuses on building products to achieve the company's strategic goals. You’ll get to work with teams from across Checkout.com http://Checkout.com’s portfolio of products and services who all have a real customer first philosophy.
As a Senior Software engineer, you will lead and drive specific projects critical to Checkout's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display exceptional leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will lead project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
WHAT ARE WE LOOKING FOR:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- Proficiency in .NET C#, Java, or Go, with a strong understanding of software development principles in either a backend or full stack environment.
- Great communication skills and ability to interact effectively with a wide range of stakeholders
- Experience working in agile environments and delivering high-quality code within tight deadlines
- Excellent problem-solving skills and the ability to work independently as well as part of a team
- Payments or financial knowledge is a plus, but not a necessity
How you’ll make an impact
- Be part of, and collaborate with, cross-functional teams including product management, across a large engineering community.
- Define and design loosely coupled, scalable systems in a wider microservices using industry best practices.
- Stay up-to-date, use, and spread knowledge of the latest technologies used by Checkout.
- Write clean, maintainable, extendable and testable code on some of Checkout’s most impactful systems.
- Build, own and operate your systems to the highest levels of resilience and service.
- Mentor junior team members and assist in their technical development
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Responsibilities:
• Design multi-agent systems and integrate LLMs with internal tools
• Develop backend APIs, RAG pipelines, and tool/function calling
• Build computer vision pipelines for detection, tracking, and re-identification
• Optimize real-time video and GPU inference
Requirements:
• Node.js/Express.js and Python
• LLM APIs, prompt engineering, RAG, tool calling, or agent frameworks
• Docker, Linux, and Git
• PyTorch and OpenCV
• Object detection and multi-object tracking (YOLO, ByteTrack/BoT-SORT)
• Person re-identification, vector search, and video streaming (RTSP)
Location: Singapore
Workplace: Hybrid
About Cantina
Cantina Labs is a social AI company developing a suite of advanced video generation models. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning.
About the Internship
Cantina is growing its research lab in Singapore, and we are looking for exceptional research interns to work with us on the next generation of video models in October 2026.
This is a three month onsite internship designed to give you meaningful ownership of a well-defined research or engineering problem. You will be matched with a project based on your background and interests, working closely with a senior mentor from initial problem formulation through experimentation, evaluation, and, where appropriate, submission to a leading AI conference.
Projects may focus on post-training and inference efficiency for video generation models, reward modeling and preference-based optimization multimodal data systems, or scalable infrastructure for video model training. The primary focus will be your core project, with opportunities to contribute to applied or product-adjacent work where relevant.
What You’ll Work On
Depending on your project, you may:
- Research and develop distillation methods for large-scale diffusion and flow-based video generation models, including guidance and adversarial distillation
- Explore techniques that reduce inference cost while preserving or improving generation quality
- Develop reward models and preference-based optimization methods to improve aesthetics, motion quality, temporal consistency, and prompt adherence
- Study how base-model behavior affects post-training outcomes and use experimental findings to inform model development
- Design rigorous evaluations and conduct large-scale experiments on generative video models
- Contribute to evaluation harnesses, model integrations, research tooling, or other product-adjacent projects related to your core work
- Document and communicate your findings through research reports, internal presentations, demonstrations, and potential conference submissions
You may be a good fit if you
- Are currently pursuing a PhD or are a final-year master’s student in computer science, machine learning, computer vision, or a related field
- Have research experience in generative modeling, computer vision, multimodal learning, or video generation
- Have hands on experience with diffusion models, flow-based models, model distillation, reinforcement learning, preference optimization, or related post-training techniques
- Can formulate hypotheses, design controlled experiments, analyze results, and communicate conclusions clearly
- Are proficient in Python and have hands-on experience with PyTorch, JAX, or another modern machine learning framework
- Are comfortable working independently on an open-ended research problem while collaborating closely with a mentor and the broader team
Experience with video, image, audio, or other multimodal data is valuable. Publications at leading venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, or AAAI are a plus, but are not required. We care most about the quality of your thinking, the depth of your technical work, and your ability to learn quickly.
What You Can Expect
- A defined project and named senior mentor before your first day
- Weekly one-on-one meetings and clear project milestones
- A meaningful compute allocation for your research
- The opportunity to own a complete research or engineering result
- First-author positioning by default where your contribution supports a publication
- Timely internal review of research intended for submission
- Support for conference travel if your paper is accepted
- Opportunities to demonstrate your work and receive credit for product contributions
- A competitive monthly stipend
- Visa and travel support for eligible international candidates
- Housing support for qualifying international interns in Singapore
- Equipment and resources needed to complete your work
Internship Details
- Location: Singapore
- Duration: Three months
- Working model: Onsite
- Start dates: First batch starts in October 2026, second batch starts in January 2027
Location: Singapore
Workplace: Hybrid
About Cantina
Cantina Labs is a social AI company developing a suite of advanced video generation models. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning.
About the Internship
Cantina is growing its research lab in Singapore, and we are looking for exceptional machine learning interns to work with us on the next generation of video models in October 2026.
This is a three month onsite internship designed to give you meaningful ownership of a well-defined research or engineering problem. You will be matched with a project based on your background and interests, working closely with a senior mentor from initial problem formulation through experimentation, evaluation, and, where appropriate, submission to a leading AI conference.
Projects may focus on post-training and inference efficiency for video generation models, reward modeling and preference-based optimization, multimodal data systems, or scalable infrastructure for video model training. The primary focus will be your core project, with opportunities to contribute to applied or product-adjacent work where relevant.
What You’ll Work On
Depending on your project, you may:
- Develop reward models to improve aesthetics, motion quality, temporal consistency, and prompt adherence
- Study how base-model behavior affects post-training outcomes and use experimental findings to inform model development
- Design rigorous evaluations and conduct large-scale experiments on generative video models
- Build systems for ingesting, preprocessing, curating, and delivering large-scale video datasets
- Develop distributed pipelines for dataset generation, deduplication, preprocessing, and repeated dataset refreshes
- Improve the reliability, reproducibility, and efficiency of data and model-training workflows
- Build tooling for video and multimodal data using technologies such as FFmpeg, PyAV, DALI, or OpenCV
- Contribute to evaluation harnesses, model integrations, research tooling, or other product-adjacent projects related to your core work
- Document and communicate your findings through research reports, internal presentations, demonstrations, and potential conference submissions
You may be a good fit if you
- Are pursuing a bachelor’s or master’s degree in computer science, engineering, machine learning, or a related field
- Have experience building data pipelines, ML infrastructure, or distributed systems through research, coursework, open-source contributions, or previous internships
- Are familiar with tools such as Ray, PySpark, Airflow, Docker, Kubernetes, or equivalent technologies
- Have worked with cloud storage or compute platforms such as AWS, Google Cloud, or Azure
- Understand practical considerations around data throughput, storage layout, caching, monitoring, and failure recovery
- Are proficient in Python and interested in building reliable systems for large-scale machine learning
Experience with video, image, audio, or other multimodal data is valuable. Publications at leading venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, or AAAI are a plus, but are not required. We care most about the quality of your thinking, the depth of your technical work, and your ability to learn quickly.
What You Can Expect
- A defined project and named senior mentor before your first day
- Weekly one-on-one meetings and clear project milestones
- A meaningful compute allocation for your research
- The opportunity to own a complete research or engineering result
- First-author positioning by default where your contribution supports a publication
- Timely internal review of research intended for submission
- Support for conference travel if your paper is accepted
- Opportunities to demonstrate your work and receive credit for product contributions
- A competitive monthly stipend
- Visa and travel support for eligible international candidates
- Housing support for qualifying international interns in Singapore
- Equipment and resources needed to complete your work
Internship Details
- Location: Singapore
- Duration: Three months
- Working model: Onsite
- Start dates: Start dates: First batch starts in October 2026; second batch starts in January 2027
Location: Poland
Imagine a traveler browsing a hotel page on Zenhotels or a travel agent evaluating options on RateHawk. They see room names, photos, amenities, policies, and reviews, all combined from dozens of suppliers, each with different formats, inconsistencies, and levels of completeness.
Behind this experience lies a complex content pipeline: fragmented supplier data must be matched, standardized, enriched, and ranked to create a coherent and trustworthy representation of a hotel and its rooms.
The Senior Product Manager for Content owns this layer of transformation, ensuring that raw supplier data becomes structured, high-quality, and decision-ready content that improves conversion, reduces user friction, and enables scalable global growth.
Key Responsibilities
Strategic Product Management for Content Value Stream:
Define and own the Content team's strategy, vision, and roadmap across all ETG products to deliver measurable business impact and user value.
Own the end-to-end content processing pipeline: Supplier data → Matching → Enrichment → Rates processing → User experience.
Drive stakeholder management across Product, Engineering, Commercial, and Operations teams, aligning priorities, resolving conflicts, and ensuring consistent execution against shared goals.
Product Discovery & Impact Ownership:
Own a continuous pipeline of product opportunities, driving measurable revenue growth, based on funnel data, content gaps, and user friction.
Leverage quantitative data and user research (interviews, usability tests, behavioral analysis) to identify root causes and high-impact problems.
Size and prioritize opportunities, focusing on high-leverage bets.
Delivery & Development Management:
Partner with Development and ML/DS Team Lead to prioritize roadmap and manage backlog.
Co-own delivery execution: define clear scope and acceptance criteria, ensure alignment across product, engineering, ML, and analytics.
Drive predictable delivery: commit to timelines, proactively manage risks, dependencies, and trade-offs.
Remove blockers and align cross-team dependencies to maintain delivery velocity.
Team Leadership:
Manage Product Manager and Operations Manager, ensuring strong ownership, execution quality, and alignment with business goals.
Set clear goals and success metrics (FNBC, content quality, coverage, efficiency) and hold the team accountable for results.
Drive performance management: regular feedback, performance reviews, addressing underperformance, and developing team members’ skills and career growth.
Requirements
5+ years in Product Management (preferably travel, marketplace, or content-heavy products).
Experience with data pipelines, content systems, or ML-driven products.
Strong analytical skills (SQL, AB tests, metric design).
Experience working with structured/unstructured data and large-scale systems.
Bachelor’s in Computer Science, Engineering, or related field.
Benefits
Flexible schedules and opportunity to work remotely.
Ambitious and supportive team who love what they do, appreciate each other, and grow together.
Internal programs for adaptation and training, development of soft skills, and leadership abilities.
Partial compensation for participating in external training and conferences.
Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world.
Corporate prices on hotels and travel services.
MyTime Day Off - an extra non-working day without loss of compensation.
Learn more about our data protection practices in our Privacy Policy:
https://www.emergingtravel.com/career/hr-policy/
Location: Canada; Brazil; Ireland; Cyprus; Portugal; Poland; United Kingdom
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
THE OPPORTUNITY
We are seeking a highly skilled Sr. Manager, Model Risk Management to join our team, focusing on Transaction Monitoring and Customer Risk Assessments models for Anti-Money Laundering (AML) and Combating the Financing of Terrorism (CFT) purposes. The successful candidate will be responsible for ensuring that our Transaction Monitoring, Customer Risk Assessment and Screening models are robust, effective, and compliant with regulatory requirements.
- Model Validation: perform independent validation of Transaction Monitoring / Customer Risk Assessment / Screening models, AI models (built in Claude or ChatGPT), including but not limited to:
- Reviewing model pre & post development documentation, data quality, accuracy, access and testing methodologies.
- Assessing model performance, accuracy, and stability.
- Evaluating model risk and identifying potential biases.
- Reviewing AI Models for AML/CFT Program
- AML/CFT Regulatory Compliance: ensure that Transaction Monitoring and Customer Risk Assessment models comply with relevant AML/CFT regulations, including but not limited to:
- EU AML/CFT Directives.
- US BSA/AML regulations.
- FATF recommendations.
- Risk Assessment: conduct risk assessments to identify potential AML/CFT risks associated with Transaction Monitoring and Customer Risk Assessment models, including but not limited to:
- Identifying higher-risk customer segments, products, and geographies.
- Assessing the effectiveness of controls and mitigants.
- Model Monitoring and Maintenance: develop and implement procedures for ongoing model monitoring and maintenance, including but not limited to:
- Annual reporting & certification
- Tracking model performance and identifying degradation.
- Conducting regular model reviews and updates.
- Collaboration and Communication: collaborate with various stakeholders, including but not limited to:
- Model Engineering and owners.
- AML/CFT subject matter experts.
- Business units and risk management teams.
- Documentation and Reporting: prepare and maintain high-quality documentation, including but not limited to:
- Model validation reports.
- Risk assessments.
- Regulatory compliance reports.
- Methodology Development: contribute to the development and maintenance of model validation methodologies, including but not limited to:
- Developing and refining model validation frameworks.
- Identifying best practices and industry standards.
WHAT YOU BRING
- Bachelor's degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering).
- 5+ years of experience in model validation, risk management, or a related field, preferably in AML/CFT.
- Understanding of international Model Risk Management rules and regulations, such as OCC SR 11-7.
- Strong understanding of machine learning and statistical modeling techniques.
- Deep understanding of fiat and crypto payment flows
- Proficiency in programming languages (e.g., Python, R, SQL).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of financial markets, products, and services.
- Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
NICE TO HAVES
- Professional certifications (e.g., FRM, CDA, CAP).
- Experience with AML/CFT transaction monitoring and Customer Risk Assessment systems
- Knowledge of cloud-based technologies.
- Experience with agile development methodologies.
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: London
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU'LL DO
As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai, you own how Sierra's AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer's thorniest, highest-stakes problems into agents that measurably move their business.
- Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it's the best version of itself in the real world. You'll have real ownership and autonomy over the outcome.
- Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers' executives, understand what success actually means to their business, and shape the AI strategy that gets them there.
- Partner with the customer's working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch.
- Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next.
EXAMPLE PROJECTS
These are the kinds of projects that strategists on our team have worked on recently:
- Scope and launch a subscription-retention agent for a large telecommunications or media company that consistently outperforms human agents at saving at-risk customers.
- Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation.
- Redesign the conversation flows for a financial services agent so it can handle complex, regulated interactions — and convert a pilot into a multi-team production deployment. See our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services for examples.
- Partner with product on a net-new capability — a new agent architecture or self-service tooling — using a live customer as the design partner.
- Define the evaluation and quality bar for a new agent, then use those metrics to drive a measurable lift in outcome https://sierra.ai/blog/outcome-based-pricing-for-ai-agents week over week.
WHAT YOU'LL BRING
- Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships.
- Communication. Clear, direct, and persuasive across technical and non-technical audiences.
- Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast.
- Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion.
- Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes.
EVEN BETTER...
- Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts.
- You've been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed.
- A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: London
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU'LL DO
As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai, you own how Sierra's AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer's thorniest, highest-stakes problems into agents that measurably move their business.
- Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it's the best version of itself in the real world. You'll have real ownership and autonomy over the outcome.
- Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers' executives, understand what success actually means to their business, and shape the AI strategy that gets them there.
- Partner with the customer's working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch.
- Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next.
EXAMPLE PROJECTS
These are the kinds of projects that strategists on our team have worked on recently:
- Scope and launch a subscription-retention agent for a large telecommunications or media company that consistently outperforms human agents at saving at-risk customers.
- Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation.
- Redesign the conversation flows for a financial services agent so it can handle complex, regulated interactions — and convert a pilot into a multi-team production deployment. See our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services for examples.
- Partner with product on a net-new capability — a new agent architecture or self-service tooling — using a live customer as the design partner.
- Define the evaluation and quality bar for a new agent, then use those metrics to drive a measurable lift in outcome https://sierra.ai/blog/outcome-based-pricing-for-ai-agents week over week.
WHAT YOU'LL BRING
- Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships.
- Communication. Clear, direct, and persuasive across technical and non-technical audiences.
- Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast.
- Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion.
- Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes.
EVEN BETTER...
- Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts.
- You've been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed.
- A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: London
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU'LL DO
As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai, you own how Sierra's AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer's thorniest, highest-stakes problems into agents that measurably move their business.
- Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it's the best version of itself in the real world. You'll have real ownership and autonomy over the outcome.
- Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers' executives, understand what success actually means to their business, and shape the AI strategy that gets them there.
- Partner with the customer's working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch.
- Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next.
EXAMPLE PROJECTS
These are the kinds of projects that strategists on our team have worked on recently:
- Scope and launch a subscription-retention agent for a large telecommunications or media company that consistently outperforms human agents at saving at-risk customers.
- Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation.
- Redesign the conversation flows for a financial services agent so it can handle complex, regulated interactions — and convert a pilot into a multi-team production deployment. See our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services for examples.
- Partner with product on a net-new capability — a new agent architecture or self-service tooling — using a live customer as the design partner.
- Define the evaluation and quality bar for a new agent, then use those metrics to drive a measurable lift in outcome https://sierra.ai/blog/outcome-based-pricing-for-ai-agents week over week.
WHAT YOU'LL BRING
- Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships.
- Communication. Clear, direct, and persuasive across technical and non-technical audiences.
- Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast.
- Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion.
- Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes.
EVEN BETTER...
- Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts.
- You've been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed.
- A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: Amman, Jordan
We are looking to recruit Support & Implementation Engineers who will provide high-level onsite and remote IT technical liaison. The Support & Implementation Engineer will be responsible for enterprise solutions implementations and support services for incidents or issues. The position will require close collaboration with other technical support and engineering teams at different levels.
Responsibilities
Implement and install solutions at customer's infrastructure platforms.
Work onsite and offsite to troubleshoot and diagnose customer-reported issues on the different implementation layers.
Act positively and respond promptly to the customer’s requests/tickets.
Prepare, review and ensure the accuracy of technical documentation.
Conduct Preventive / Corrective Maintenance visits.
Perform any other job-related duties related to work.
Requirements
Bachelor's Degree in Information Technology, Engineering/Science, Computer application, or any related field.
At least 2 years experience in a similar field.
Willing to travel and work extra hours when needed.
Experience in database engines (Oracle, MS-SQL, and PostgreSQL).
Experience in operating systems (Linux and MS Windows).
Developed knowledge in cloud Infrastructure Orchestration Tools (Ex. Kubernetes, HashiCorp Nomad)
Working experience in application servers (Ex. Apache Tomcat, Oracle WebLogic, IBM WebSphere).
Knowledge and acquired skills of DevOps techniques including (CI/CD, Helm, Ansible)
Knowledge in Directory Services (AD & LDAP).
Excellent personal skills
Professional effective communication, verbal and written
Customer oriented mentality
Details oriented and a team player
Initiative and self-managed
Time management and result oriented
Experience in one or more of the below is a plus:
Experience in large enterprise environments with emphasis on payments, remittance solutions.
Experience in Cloud Computing, Virtualization Technologies, Storage, Network Infrastructure.
Implementation experience of High Availability & Disaster Recovery, Backup & Recovery Strategies.
Knowledge of PKI Infrastructure and Certificate Authorities.
Knowledge of database engines (MySQL and NoSQL Databases).
Knowledge of server and client operating systems (Linux Distros, MS Windows).
Knowledge in Object Storage management.
Knowledge of Security Authentication and Authorization Solutions (HashiCorp Vault and Keycloak).
Knowledge in Cloud-based Solution Infrastructure (AWS, Azure, Google Cloud, OCI, IBM).
Location: San Francisco; London; Austin; Berlin; Seattle; New York City; Toronto
Workplace: Hybrid
ABOUT THE ROLE
The Infrastructure team builds and operates the foundational systems behind Perplexity’s products. At Perplexity, infrastructure sits on the critical path of every answer, supporting real-time search, retrieval, model serving, and agent workloads where latency, reliability, and rapid iteration directly shape the user experience. This role is for strong infrastructure engineers whose experience spans multiple domains and who are energized by cross-cutting problems that do not fit neatly within a single platform team.
You do not need to be a specialist in every area. Scope ranges from owning major production systems to setting technical direction across teams, leading complex infrastructure programs, and shaping infrastructure strategy across the organization. If a specialized Cloud Infrastructure, Storage Platform, Backend Platform, Data Platform, Connector Platform, or AI Acceleration role clearly matches your expertise and interests, apply directly to it. If your experience spans several infrastructure domains or you are most energized by cross-cutting systems problems, apply here. Submit one application, and we will consider you across the Infrastructure organization.
KEY RESPONSIBILITIES
- Own cross-cutting infrastructure problems that span compute, storage, networking, data, deployment, and reliability, including eliminating bottlenecks across retrieval and serving paths, building shared abstractions across deployment environments, and resolving failure modes that cross platform boundaries.
- Design, build, and operate distributed infrastructure supporting Perplexity’s consumer, AI, and enterprise workloads, owning systems from architecture through production operation.
- Identify gaps between existing platforms and build shared abstractions, automation, and tooling that make infrastructure easier and safer to use.
- Improve system performance, availability, scalability, and cost-efficiency across online request traffic and background workloads.
- Debug complex production issues across service and infrastructure boundaries, then turn the findings into durable architectural improvements.
- Set technical direction for complex infrastructure systems, lead high-impact programs across teams, and establish durable technical standards through collaboration with infrastructure, product, AI, and security partners.
QUALIFICATIONS
- 4+ years of professional software engineering experience building and operating production backend, platform, or distributed systems.
- A track record of owning complex production systems end to end and delivering sustained technical impact across teams.
- Demonstrated ability to set technical direction, lead through influence, and raise the engineering bar through architecture, design reviews, and mentorship.
- Strong software engineering skills in Python or other systems or backend languages such as Go, Rust, C++, or Java.
- Meaningful experience across at least two infrastructure domains, such as cloud platforms, distributed systems, Kubernetes, storage, databases, networking, data systems, developer infrastructure, or production reliability.
- Ability to develop depth quickly in unfamiliar systems, reason across software and infrastructure layers, and drive production incidents from diagnosis through durable resolution.
If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
Location: San Francisco
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
We're looking for a hands-on Operations Manager to own the operational and analytical supply side of our GPU fleet. Key focus areas: GPU fleet lifecycle, health, observability, utilization monitoring, and remediation across our neocloud and bare metal environments.
We contract for a fixed amount of compute capacity. GPUs drift from healthy to unhealthy over time, and this role minimizes that downtime to keep the maximum number of GPUs healthy at any given moment.
This is an operator role, not people management. You'll drive execution through clear processes, metrics, reporting, vendor coordination, and cross-functional alignment.
RESPONSIBILITIES
- Drive suppliers to keep the maximum amount of the GPU fleet online and healthy.
- Maintain a live reconciliation of contracted vs. provisioned vs. healthy vs. utilized capacity, broken out by supplier and by cluster maximizing the number of healthy GPUs.
- Supplier-attributed fleet health accountability: own replacement SLAs, mean time to repair (MTTR), and RMA cycle times for every in-scope supplier.
- SLA monitoring, credit claims, and remedy enforcement: track SLA performance against contract terms, file and pursue credit claims, and drive remediation plans when suppliers fall short.
- Drive internal communications where suppliers need to perform maintenance to ensure all Baseten stakeholders are aware of activities that impact availability.
Scope and Approach
- Flexibility: this list covers the core of the role, not the limit of it. You'll be asked to take on adjacent work as the function evolves and as new gaps surface.
- Ownership mindset: we need someone who treats "whatever it takes" as a genuine operating principle, not a line in a job posting. If something falls outside a defined lane but inside the overall goal of closing the capacity gap, it's yours to pick up.
REQUIREMENTS
- 5 to 10+ years within infrastructure working within the compute lifecycle to maximize functional compute, ideally in a hyperscale, cloud, or large-scale compute environment.
- Direct experience managing GPU, server, or data center hardware supplier relationships. You understand fleet health, RMA processes, and how contracted capacity differs from delivered capacity.
- Highly analytical. You should be comfortable pulling your own data, building your own reports, and generating insights without waiting on someone else to hand you a dashboard.
- Comfortable with ambiguity. Part of the job is figuring out what should exist and building it.
- Strong cross-functional collaboration skills. You'll work closely with finance, infrastructure/engineering, legal, and security on a regular basis.
NICE TO HAVE
- Experience at a hyperscaler, neo cloud provider, or AI infrastructure company
- Familiarity with GPU hardware lifecycles (NVIDIA H100/H200/GB200 class systems), power/thermal constraints, and supply chain dynamics for compute.
- Experience running formal supplier corrective actions.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Foster City, CA
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
About the Role
Join Replit's key teams across the company, such as AI Research, Strategic Finance, or the Office of the CEO, for a unique paid internship built for sharp quantitative and creative minds. You will work alongside our top executives, in addition to world-class engineers, designers, and finance team on some of the hardest problems in AI-native software creation and accelerating key areas of our business.
We are creating a dedicated track for students with strong mathematical backgrounds because the problems we are solving sit at the intersection of deep math and applied AI, including agent reasoning, systems optimization, and improving how our models learn and perform at scale. Your work will directly shape how millions of users build software.
You Will:
- Contribute to real engineering problems that push the boundaries of AI-powered software creation
- Collaborate with engineers, designers, and product managers on infrastructure that powers Replit's platform
- Prototype novel approaches to problems in AI, systems, or tooling where mathematical rigor is the differentiator
- Ship work that impacts millions of developers globally, in an environment where your ideas are heard and often implemented
Required Skills and Experience:
- Currently pursuing a Bachelor's, Master's, or PhD in Mathematics, Computer Science, Computer Engineering, Statistics, Physics, or a related quantitative field
- At least one semester of schooling remaining after the internship
- Demonstrated excellence in competitive mathematics such as IMO and IOI, quantitative research, or advanced coursework
- Genuine curiosity about AI, agent systems, company building, or developer tooling
- Extremely bullish on Replit and the future of AI-native software creation. We would love to see what you have built on the platform
What We Value:
- First-principles thinking: Ability to break down complex problems from the ground up and reason about them rigorously
- Mathematical intuition: Strong grasp of the underlying math behind machine learning, optimization, or systems
- Self-directed and autonomous: Capable of working independently while collaborating well with cross-functional teams
- Strong communication: Ability to explain complex quantitative concepts to both technical and non-technical audiences
- Curiosity and speed: Genuine excitement for hard problems and the drive to iterate quickly
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Paris; London; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
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УдалённоseniorCanada; Brazil; Ireland; Cyprus; Portugal; Poland; United Kingdom; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
ОфисLondon
ОфисLondon
ОфисLondon
ГибридSan Francisco; London; Austin; Berlin; Seattle; New York City; Toronto
ГибридSan Francisco
ГибридСША; 💹 401(k) Program with a 4% match (US Only); 🚗 Commuter Benefits (In-Office & US Only); We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds
