Location: Ireland, Dublin
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Why Join Us?
PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more.
PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.
The PlayStation brand falls under Sony Interactive Entertainment, a wholly owned subsidiary of Sony Group Corporation
The role
We are looking for a Software Engineer to join the Kit Manager team, working on the design and development of a scalable private cloud solution for managing PlayStation Development Kits along with the provision of associated APIs and services as part of the PlayStation® SDK.
What you’ll be doing
Own the end-to-end delivery of features, from requirements analysis and design through implementation and validation
Investigate, debug, and resolve issues in existing code and newly developed featuresParticipate in requirements gathering and architectural discussions, collaborating with cross-functional teams in an agile environment
Participate in code reviews and contribute to maintaining high engineering standards
Attend periodic in-person workshops and team events, with occasional travel as required
What we’re looking for
You should bring some of the following skills and experience:
Commercial or open-source experience developing software in Rust, with the ability to design, implement, and maintain production-quality code, and a strong understanding of Rust fundamentals including ownership, borrowing, lifetimes, traits, generics, error handling, and asynchronous programming with Tokio
Excellent problem-solving and analytical skills
A passion for building intuitive products with a strong focus on user experience and developer workflows
Strong commercial experience developing software in modern C++
A solid understanding of concurrency, multithreaded programming, and modern software design principles
Experience writing automated tests and applying modern software testing practices
Proficiency with Git or other distributed version control systems
Desirable skills and experience
Experience developing cross-platform applications for Windows, Linux, and macOS
Experience with PostgreSQL or other relational databases
Experience building APIs using gRPC and/or REST
Experience deploying and managing applications using Kubernetes and/or AWS
Proficiency with Docker, Podman or other container technologies
Experience developing user interfaces with React
Qualifications
BSc /MSc in Computer Science or equivalent experience
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
€69.500
—
€104.300 EUR
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Perm; Kuala Lumpur; Baku; Vladivostok
Workplace: onsite
ABOUT YOU
We are looking for an Intermediate / Senior Frontend Developer to join a team responsible for building the platform powering all user-facing experiences. This role offers a unique opportunity to collaborate with both local and international teams, focusing on user-centric software that elevates the digital experience for Xsolla’s global audience. In this role you will have the opportunity to contribute in building high-performance frontend solutions used by game developers worldwide. This position requires strong frontend and platform-level experience, the ability to work on complex technical initiatives, and the capability to support predictable, reliable delivery.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities:
Build and evolve scalable, high-performance web applications using React and
Node.js
Collaborate with product managers, designers, and backend engineers to translate complex requirements into intuitive user experiences.
Participate in code reviews, share best practices, and help maintain high engineering standards within the frontend team. Work closely with DevOps to streamline CI/CD pipelines, improve deployment reliability, and enhance observability through metrics and monitoring tools.
Own features end-to-end — requirement refinement, implementation, testing, and delivery. Optimize frontend performance, focusing on loading times, rendering speed, and bundle efficiency.
Ensure cross-browser and multi-device compatibility while meeting accessibility (a11y) and usability standards.
Contribute to modernization, refactoring, and performance enhancements to keep the platform scalable, maintainable, and aligned with product goals.
Contribute and enforce engineering best practices across coding, documentation, testing, and review processes.
Ensure strong automated test coverage and reliable CI/CD workflows that reduce manual effort and improve delivery predictability.
Own operational excellence, including incident response, root-cause analysis, and long-term reliability improvements.
Advocate for scalability, performance, security, and observability across the platform’s architecture and tooling.
Identify technical risks, estimate complexity, and communicate trade-offs to leadership and stakeholders.
Qualifications & Skills:
4+ years of software development experience with strong expertise in modern frontend engineering at scale.
Deep hands-on knowledge of React including component architecture, SSR patterns, RSC, and complex UI data flows. Proficiency with
Node.js
and MongoDB for server-side functionality.
Strong understanding of modern styling systems and theming approaches (vanilla-extract, styled-components, design tokens).
Solid TypeScript practices, including strict typing, shared contracts, and schema validation (Zod or equivalent).
Experience with Module Federation.
Good understanding of bundling and compilation, experience with webpack/rollup/vite/esbuild
Experience with automated testing frameworks (Vitest/Jest) and end-to-end testing (Playwright/Cypress).
Good understanding of backend integration patterns (REST, GraphQL, RPC-style APIs).
Experience with CI/CD workflows (GitLab CI or similar), private registries, and secure artifact handling.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Nice to Have:
Experience building platforms or tooling used across multiple frontend teams (design systems, template engines, configuration frameworks).
Experience with react-native/mobile experience.
Knowledge of performance optimization strategies for client-side and server-side rendering.
Understanding of accessibility, internationalization, and semantic UI design best practices.
Experience developing SDKs, CLI tools, or developer-facing automation.
Familiarity with event-driven UI flows, real-time interfaces, or edge-rendering strategies.
Background improving developer platforms, observability stacks, or performance monitoring systems.
Comfort with UI-as-data approaches and leveraging AI-assisted/no-code tooling to accelerate feature delivery.
The duties and responsibilities of this position may evolve over time to support the organization's goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: Bulgaria
Mission
The purpose of this role is to lead the delivery of consulting, implementation, development, and support projects for customers in the education sector. Constructor is a global provider of education and research technology, serving schools, higher education, enterprises, and professional education providers.
As a senior individual contributor within Constructor. Nexademy team, the Senior Project Manager is responsible for the end-to-end delivery of projects, ensuring they are delivered on time, within budget, and to the highest quality standards, while serving as the primary operational point of contact for customers.
The role is accountable for measurable outcomes: on-time delivery, budget adherence, customer satisfaction, and retention.
Duties & Responsibilities
:
Pillar 1 — Presales, Project Planning, Execution & Delivery
Contribute to presales by defining scope, producing effort estimates, and writing the technical sections of proposals and SOWs.
Develop comprehensive project plans covering scope, timeline, resource allocation, dependencies, and risk assessment.
Lead the technical delivery of implementations, including platform deployment, configuration, SSO, LTI and API integrations, and data migrations, working hands-on with customer IT teams and Constructor engineering.
Monitor progress against the baseline, and proactively identify issues or risks before they affect delivery.
Implement corrective actions and change management to keep projects on track across scope, schedule, and resources.
Coordinate internal resources and third parties or vendors to ensure project completion.
Apply industry best practices, techniques, and standards throughout the project lifecycle.
Monitor and handle the change requests required for project implementation.
Success Metrics and KPIs
: 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 clearly to all parties.
Manage customer expectations and address concerns proactively.
Engage proactively with Premier Customers and Partners to ensure alignment on project goals and implementation.
Oversee Premier Customer onboarding for new solutions, manage customization requests, and ensure a smooth handover.
Represent Premier Customer interests when discussing feature requests and product issues with Engineering, and track and prioritize feature requests, code improvements, and bugfixes
Implement new solutions and deploy packages, hotfixes, and upgrades, then perform post-upgrade service availability checks.
Guide Premier Customers in adopting Constructor Tech best practices, including risk assessments and health checks.
Remain available during Premier Customer business hours to provide timely support.
Success Metrics and KPIs
: customer satisfaction (CSAT) and 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 submitted by Premier Customers and drive them to resolution, working with L1/L2 support and Engineering.
Coordinate escalations, and conduct post-incident reviews and root cause analyses (RCAs) when Premier Customers request them.
Ensure adherence to quality standards throughout the project lifecycle and implement quality improvement initiatives.
Maintain Premier Support Customer CSAT and NPS through outcome-driven activities, and own Service Levels and other KPIs per contract terms.
Report on Premier Support Customers, including trend analysis, current health status, and manager-defined KPIs, on schedule or on demand.
Keep customer information up to date and shared as internal knowledge content.
Participate in support-related activities and handle non-premier support tasks at the manager's request.
Continuously build practical experience with Constructor Tech products and related software solutions for education and science.
Success Metrics and KPIs
: incident resolution time, escalation rate, CSAT/NPS targets, SLA adherence per contract, quality audit results.
Qualifications & Experience:
Required:
At least five years of experience in IT project management (internal, customer implementation, and/or consultancy).
A proven track record of hands-on delivery of complex SaaS deployments and integrations, including SSO, LTI, and APIs, as well as data migrations. You will be expected to walk through the technical architecture of projects you have delivered.
A proven track record of successful project delivery: on time, within budget, and to quality standards.
Experience scoping and estimating projects and contributing to proposals or SOWs.
Preferred:
Exposure to EdTech or learning management systems (e.g., Canvas, Moodle, LTI tools, SCORM/xAPI).
PMP certification.
A good understanding of software development methodologies.
Skills & Competencies:
Strong communication and interpersonal skills.
Ability to work under pressure and meet deadlines.
Results-oriented, with a focus on measurable delivery outcomes rather than activity.
Education & Languages:
Bachelor's degree in Computer Science, Information Technology, or a related field.
Fluent English. Knowledge of German is a bonus
What This Role Is (and Is Not)
This role IS:
Delivery-focused and accountable for measurable project outcomes.
A balance of hands-on technical delivery, project execution, and strategic customer and technical account management.
A contributor to presales: scoping, estimates, and the technical sections of proposals.
Hands-on and customer-facing, with clear targets and KPIs.
A long-term delivery-ownership track: you own projects and customers through implementation and beyond.
This role is NOT:
A product management role or a path into product management. Product roadmaps are owned by Constructor Tech product teams.
A purely administrative or coordination-only position.
A role measured by activity volume rather than delivered results.
Location: Belgrade, Serbia
Mission
The purpose of this role is to lead the delivery of consulting, implementation, development, and support projects for customers in the education sector. Constructor is a global provider of education and research technology, serving schools, higher education, enterprises, and professional education providers.
As a senior individual contributor within Constructor. Nexademy team, the Senior Project Manager is responsible for the end-to-end delivery of projects, ensuring they are delivered on time, within budget, and to the highest quality standards, while serving as the primary operational point of contact for customers.
The role is accountable for measurable outcomes: on-time delivery, budget adherence, customer satisfaction, and retention.
Duties & Responsibilities
:
Pillar 1 — Presales, Project Planning, Execution & Delivery
Contribute to presales by defining scope, producing effort estimates, and writing the technical sections of proposals and SOWs.
Develop comprehensive project plans covering scope, timeline, resource allocation, dependencies, and risk assessment.
Lead the technical delivery of implementations, including platform deployment, configuration, SSO, LTI and API integrations, and data migrations, working hands-on with customer IT teams and Constructor engineering.
Monitor progress against the baseline, and proactively identify issues or risks before they affect delivery.
Implement corrective actions and change management to keep projects on track across scope, schedule, and resources.
Coordinate internal resources and third parties or vendors to ensure project completion.
Apply industry best practices, techniques, and standards throughout the project lifecycle.
Monitor and handle the change requests required for project implementation.
Success Metrics and KPIs
: 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 clearly to all parties.
Manage customer expectations and address concerns proactively.
Engage proactively with Premier Customers and Partners to ensure alignment on project goals and implementation.
Oversee Premier Customer onboarding for new solutions, manage customization requests, and ensure a smooth handover.
Represent Premier Customer interests when discussing feature requests and product issues with Engineering, and track and prioritize feature requests, code improvements, and bugfixes
Implement new solutions and deploy packages, hotfixes, and upgrades, then perform post-upgrade service availability checks.
Guide Premier Customers in adopting Constructor Tech best practices, including risk assessments and health checks.
Remain available during Premier Customer business hours to provide timely support.
Success Metrics and KPIs
: customer satisfaction (CSAT) and 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 submitted by Premier Customers and drive them to resolution, working with L1/L2 support and Engineering.
Coordinate escalations, and conduct post-incident reviews and root cause analyses (RCAs) when Premier Customers request them.
Ensure adherence to quality standards throughout the project lifecycle and implement quality improvement initiatives.
Maintain Premier Support Customer CSAT and NPS through outcome-driven activities, and own Service Levels and other KPIs per contract terms.
Report on Premier Support Customers, including trend analysis, current health status, and manager-defined KPIs, on schedule or on demand.
Keep customer information up to date and shared as internal knowledge content.
Participate in support-related activities and handle non-premier support tasks at the manager's request.
Continuously build practical experience with Constructor Tech products and related software solutions for education and science.
Success Metrics and KPIs
: incident resolution time, escalation rate, CSAT/NPS targets, SLA adherence per contract, quality audit results.
Qualifications & Experience:
Required:
At least five years of experience in IT project management (internal, customer implementation, and/or consultancy).
A proven track record of hands-on delivery of complex SaaS deployments and integrations, including SSO, LTI, and APIs, as well as data migrations. You will be expected to walk through the technical architecture of projects you have delivered.
A proven track record of successful project delivery: on time, within budget, and to quality standards.
Experience scoping and estimating projects and contributing to proposals or SOWs.
Preferred:
Exposure to EdTech or learning management systems (e.g., Canvas, Moodle, LTI tools, SCORM/xAPI).
PMP certification.
A good understanding of software development methodologies.
Skills & Competencies:
Strong communication and interpersonal skills.
Ability to work under pressure and meet deadlines.
Results-oriented, with a focus on measurable delivery outcomes rather than activity.
Education & Languages:
Bachelor's degree in Computer Science, Information Technology, or a related field.
Fluent English. Knowledge of German is a bonus
What This Role Is (and Is Not)
This role IS:
Delivery-focused and accountable for measurable project outcomes.
A balance of hands-on technical delivery, project execution, and strategic customer and technical account management.
A contributor to presales: scoping, estimates, and the technical sections of proposals.
Hands-on and customer-facing, with clear targets and KPIs.
A long-term delivery-ownership track: you own projects and customers through implementation and beyond.
This role is NOT:
A product management role or a path into product management. Product roadmaps are owned by Constructor Tech product teams.
A purely administrative or coordination-only position.
A role measured by activity volume rather than delivered results.
Workplace: remote
Location
:
Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world.
Responsibilities
:
Hybrid Architecture Design: Architect and deploy scalable HPC clusters using
on-prem and/or cloud-native HPC cluster managers (
e.g., AWS ParallelCluster + Amazon EC2 / Azure CycleCloud + Azure VM Scale Sets / Google Cloud Cluster Toolkit or similar + Compute Engine)
, ensuring seamless integration with on-premises schedulers. Proven expertise with HPC schedulers and orchestration patterns (e.g. Slurm, cloud HPC cluster orchestration, batch orchestration)
Design and optimize data architectures for large-scale HPC workloads, including high-throughput data movement between on-premises and cloud environments and integration with parallel file systems. Ensure data access, lifecycle, and reproducibility patterns to support scientific computing performance and operational requirements
Design and implement high-performance networking solutions, including
private dedicated connectivity and low-latency HPC interconnects
(e.g., AWS Direct Connect / Azure ExpressRoute / Google Cloud Interconnect; AWS EFA / Azure HPC fabrics e.g. IB/ GCP HPC interconnect options etc.)
, to support low-latency MPI applications. Design high I/O workloads (
parallel file system patterns
)
(e.g., AWS / GCP / Azure Managed Lustre or parallel FS deployments and/or self-managed Lustre/GPFS/BeeGFS)
, observability, reproducibility and operational excellence
Define and maintain containerization standards using contanerization and related technologies to ensure binary compatibility across heterogeneous hardware and environments
What we expect
:
Knowledge of HPC-with-cloud integration strategies, experience with technical feasibility planning
Excellent communication skills
Strong understanding of regulated enterprise R&D environments
Understanding scientific computing reproducibility requirements, relying on enterprise standard tooling
Deep understanding of Amazon VPC /Google Cloud / Azure networking, peering and security group configurations
Nice to have
:
Experience in life-sciences
Experience in specific applications in life-sciences, Jupyter, Matlab
Network Engineering
We offer
:
Competitive compensation
Remote or office work
Flexible working hours
Healthcare benefits: medical insurance and paid sick leave
Continuous education, mentoring, and professional development programs
A team with an excellent tech expertise
Certifications paid by the company
УдалённоQuantori is an international team: we have colleagues who work not only from office but also remotely from all over the world
Location: Singapore; Korea
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
As the Senior Director of Solutions Architecture for Asia Pacific at Cohere, you will own Solutions Architecture across the region. Our customers here are banks, telcos, industrials and governments who cannot send their data to someone else’s cloud, and who are past experimenting and into production. You will lead the team that makes those deployments real, and you will be accountable for the technical win across the region.
This is a build. Today a Solutions Architecture team covers Korea, Japan and Southeast Asia. You will own that team, grow it, and build the in-region depth this market needs. You will be expected to open doors on your own credibility and network from your first weeks, set direction for the function, sit on the Solution Architecture leadership team alongside the regional leaders for the Americas and EMEA, and contribute to company-wide decisions with your peers across Sales, Product and Engineering.
IN THIS ROLE, YOU WILL:
- Build and Lead the Team: Hire, coach and develop the Asia Pacific Solutions Architecture organization, and establish in-region depth rather than relying on support flown in from other regions.
- Open Doors Across the Region: Bring industry knowledge, technical credibility and an existing network to get Cohere into strategic accounts quickly. This is the central expectation of the role and you should expect to be measured on it.
- Own the Technical Win: Be personally accountable for the technical outcome of the region’s most strategic pursuits, and be in the room for the ones that decide the year.
- Set Direction for the Function: Define the vision, strategy, coverage model and operating rhythm for Asia Pacific Solutions Architecture across three markets that buy differently and regulate differently.
- Architect Sovereign and Regulated Deployments: Lead customers into secure, scalable, production-ready agentic AI deployments across cloud, hybrid, VPC, on-premises and air-gapped environments, which is where much of this region’s demand sits.
- Build Repeatable Solution Practices: Establish scalable solution-selling methodologies, industry playbooks, executive narratives, business cases and technical delivery frameworks that improve consistency and win rates.
- Partner with Regional Sales Leadership: Own territory, coverage and pipeline jointly with the Asia Pacific sales leader, and be accountable for the number together.
- Shape Product Direction: Partner closely with Product and Engineering to translate Asia Pacific customer needs into platform improvements and roadmap priorities. You will be one of a handful of people who can tell our product organization what this region actually requires.
KEY RESPONSIBILITIES:
- Build and develop the Asia Pacific Solutions Architecture team through hiring, coaching, performance management and career development.
- Partner with regional Sales leadership to pursue and close strategic enterprise opportunities across financial services, telecommunications, industrials, technology and the public sector.
- Establish and own the regional coverage model across Korea, Japan and Southeast Asia, and make the case for where the team grows next.
- Lead executive workshops, discovery sessions, solution presentations and technical deep dives with C-suite and senior customer stakeholders.
- Develop business cases, solution architectures, implementation roadmaps and technical proposals that align customer objectives with Cohere’s platform.
- Guide customers through the deployment of enterprise AI solutions, ensuring scalability, security, governance, data residency and operational readiness.
- Create repeatable solution assets, industry playbooks and best practices that enable the team to consistently deliver high-quality customer engagements.
- Collaborate cross-functionally with Product, Engineering, Sales and Customer Success to ensure alignment between customer needs and platform evolution, and contribute to decisions that reach beyond your own function.
- Serve as the voice of the region by capturing customer feedback and competitive insights that influence product strategy.
- Own and report on the region’s operational and commercial metrics, including technical win rates, pipeline health, coverage and team performance.
WHAT WE’RE LOOKING FOR:
- Leadership Experience: 15+ years in Solutions Architecture, Solutions Engineering, Technical Consulting or Enterprise Architecture, including 7+ years leading customer-facing technical teams, and a record of developing people into senior and leadership roles.
- Regional Depth and Network: You have built or run a technical organization across more than one Asia Pacific market, you understand how enterprise technology is actually bought in each of them, and you have a network of senior technical and executive relationships you are willing to be measured on.
- People Leadership: A proven record of hiring, coaching and developing high-performing Solutions Architecture or Solutions Engineering teams, including building a team in-region from a small base.
- Hands-On Technical Credibility: You are technical enough to be believed by a strong engineering bench. You have put real AI systems into production, you can pressure-test your team’s architecture, and you can be the most useful person in a design conversation when it matters. We care far more about what you have deployed, and what broke, than about which models you can name.
- Commercial Acumen: A demonstrated ability to partner with enterprise Sales leadership, influence strategic deals, and articulate business value to executive stakeholders. You have carried a number and can point to deals you personally moved.
- Executive Presence: You command a room. You are credible in front of a CEO and their business leaders as well as a Chief Information Officer, a Chief AI Officer or a Chief Information Security Officer, and you can move between the business case and the architecture without losing either audience.
- Technical Expertise: A strong understanding of modern AI architectures, including large language models, agentic systems, retrieval, enterprise integrations, cloud platforms, hybrid and on-premises deployments, security and governance.
- Enterprise Experience: Experience designing and delivering enterprise technology solutions in complex, regulated or large-scale environments.
PREFERRED QUALIFICATIONS:
- Experience building an AI, machine learning or data science function inside a large regulated enterprise, and taking it into production.
- Depth in Asia Pacific financial services, telecommunications or the public sector.
- Experience deploying into environments where the customer controls the infrastructure, including on-premises, sovereign and air-gapped deployments.
- Background in enterprise AI, cloud, or data platform companies, or applied AI consulting organizations.
- Experience building repeatable solution-selling methodologies and helping generalist technical teams operate at a consistently high level.
- Working proficiency in a regional language in addition to English.
- Experience operating in high-growth environments where speed, ownership and cross-functional collaboration are critical.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Georgia
About Perform
Perform (totalperform.com) is an AI, consulting, and engineering firm based in Milton, GA. We help enterprise clients in healthcare, banking, and other regulated industries ship the AI strategies they've been talking about, across four service lines: AI & Automation, Consulting, QA & Testing, and Nearshore Engineering Talent.
This role sits inside our AI & Automation and Consulting practices. We sell scoped, delivered outcomes: AI agent builds, automation implementations, data and platform projects, and advisory engagements. Every deal is a custom proposal and a signed SOW, backed by our delivery and engineering teams, with Nearshore Engineering Talent as a complement when a client needs a team to deliver.
The Role
This is a quota-carrying hunter role, reporting directly to the CEO. We don't hand you a lead list: you build the pipeline, the network and the book of business yourself. You own project and consulting revenue creation from prospecting through close, and you scope the engagement the way a solutions seller does: outcome first, deliverable defined, fixed-fee or milestone-based SOW signed.
This is a senior seat covering both sales and account management. You win the new logo, then manage and grow the account into follow-on work.
What You'll Own
Self-sourced new-logo selling.
You prospect, you book your own meetings, you close. We don't have an inbound lead flow to hand you. You bring your own network to open doors that cold outreach can't, and you build pipeline against companies that need AI, automation, or data and platform work done.
Directing the offshore team.
A dedicated offshore team supports your hunt with list-building, research, LinkedIn outreach, cold email, and account monitoring. They multiply your reach; they don't replace your hunting. You direct them.
Running the full sales cycle.
Discovery, executive presentation, solution scoping with our delivery and engineering leads, custom proposal and SOW authoring, pricing, negotiation, and close. You quarterback; delivery executes.
Selling the outcome.
"We'll build and deploy your AI agent in eight weeks" beats "we have AI engineers available." You scope fixed-fee or milestone-based engagements around a defined deliverable.
Growing what you land.
After the first project, you manage your named accounts and expand them into follow-on work.
SOW and change-order discipline.
Clean scoping, clear acceptance criteria, and change-order discipline on every engagement, with no scope creep that erodes margin or client trust.
Navigating multi-stakeholder, long-cycle deals.
You're comfortable running 6 to 12 month cycles across IT, procurement, finance, and legal, with deals in the $50K to $150K+ ACV range, and presenting credibly to CIOs and CTOs along the way.
Walking away from the wrong deals.
You have full discretion to decline work we would regret delivering, and we don't discount our positioning to win commodity work.
How You'll Be Measured
Targets are set with you at hire. Leading indicators below so progress is visible before revenue comes in.
New-logo bookings:
Closes net-new project and consulting revenue (AI & Automation, Consulting) from self-sourced pipeline.
Self-sourced pipeline:
Builds a credible pipeline through your own prospecting within the first quarter.
Prospecting activity:
A consistent weekly cadence of outbound touches and first meetings booked from your own effort.
Average deal size / ACV:
Scopes and closes projects in the $50K to $150K+ range, not commodity-rate deals.
SOW discipline:
Signed engagements have clean scope and acceptance criteria; minimal scope disputes or uncontrolled change.
First 90 Days
Day 30:
Trained on the offering and positioning across AI & Automation and Consulting. Target list built, outbound cadence live.
Day 60:
Pipeline building from your own prospecting effort. First opportunities in real stages with proposals in motion.
Day 90:
First new-logo close, and a self-sourced pipeline credible enough to forecast against.
Who We're Looking For
This role is for a senior, genuine hunter who has built pipeline from nothing and has sold scoped project or consulting engagements before. There is no inbound lead flow here; if you need leads handed to you, this isn't the role.
A senior, proven enterprise seller.
7+ years of B2B technology sales with a steady, progressive record in senior roles.
An aggressive, self-directed hunter.
You build your own network, generate your own leads, and close your own business. You've built pipeline from a standing start, and you bring a rolodex of relationships with enterprise technology buyers. This is the single most important requirement.
Sold scoped projects.
You've built custom proposals and SOWs and closed fixed-fee, milestone-based, or SOW engagements, not only bill-rate placements.
Both sales and account management.
You can win the new logo and then manage and grow the account.
Enterprise deal experience.
Deals in the $50K to $150K+ ACV range, 6 to 12 month cycles across IT, procurement, finance, and legal, and ground-up territory or new-logo builds.
Credible with CIOs, CTOs, and VPs of Engineering.
You can discuss AI, automation, data, and platform work without being rolled by an engineer.
Staff augmentation experience is also valued.
A background that combines project sales with staffing is ideal.
Comfortable in a small-team environment.
You'll have real support from delivery, engineering, content, and an offshore team, but you build and iterate, not wait for a playbook.
Honest about fit.
You'd rather walk from a bad-fit deal than discount into one we'll regret delivering.
Authorized to work in the US
without sponsorship.
Nice to have
Sandler or Force Management sales training
Experience selling into regulated industries such as healthcare and banking
A background at an IT consulting firm, systems integrator, digital transformation shop, or AI and automation consultancy
What We Offer
Fully remote, US-based. Atlanta is a plus but not required. Some client travel as deals warrant.
A recruiting and delivery team paired with you from day one, so the execution answer is already in motion when you walk into a client conversation.
A dedicated offshore team to multiply your reach: lists, research, and outreach volume.
Direct partnership with the VP of AI on solution scoping for complex deals.
A clear, differentiated story to sell, reporting straight to the CEO.
Why Perform, Why Now
Buyers are past asking "can you send us a contractor" and are asking "can you get this built." We've built the harder, more durable story: scoped outcomes, delivered by a team that specializes in the roles AI doesn't replace.
Your job is to get in front of more of those buyers and sell the project.
Your partner for AI, consulting, software development, and nearshore staffing.
Location: Lisbon
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Security Officer
- Location: Lisbon, Portugal
- Department: Security
- Reports to: CEO of ICEYE Portugal
- Employment type: Permanent
- Workplace model: On-site (our office is located at Av. Defensores de Chaves 4, 1000-117 Lisboa)
- Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS:
ICEYE Portugal turns sovereign intelligence from space into an operational capability built in Lisbon. This role keeps that capability secure. As ICEYE Portugal's named Local Security Officer, you are the formal interface to GNS / ANS and the CEO's trusted partner on every clearance, audit and facility question, accountable for our people, our facility and our information meeting ICEYE's global security standards and Portugal's national and NATO sovereignty requirements.
It is a hybrid role, modelled on how ICEYE runs its other international sites, and it sits at the centre of everything ICEYE Portugal does.
WHO WE ARE
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
YOUR DAY-TO-DAY RESPONSIBILITIES
Facility and physical security
- Own ICEYE Portugal's facility security programme: physical access control, secure-room build-out, visitor management, alarms, CCTV and key management.
- Drive the office's NATO Restricted readiness audit with GNS and prepare for higher classifications as the customer mission evolves.
- Run the secure handling of classified material in line with Portuguese national rules and ICEYE policy.
- Partner with the CEO, Head of People & Operations, and the local IT Site Engineer on the Class A office fit-out, specifically on secure-area readiness for clearance-restricted workflows.
Personnel security and clearances
- Coordinate national security clearance applications (GNS / ANS) for the CEO, FDEs and other cleared roles, and maintain the cleared-personnel register (levels, expirations, briefings and debriefings).
- Run security on-boarding and off-boarding for every employee and visitor: NDAs, security awareness, classified-handling training and access provisioning.
Information and cyber security
- Partner with ICEYE Oy Security leadership and HQ IT to translate the global cyber baseline (endpoint, MDM, network, identity) into local controls.
- Lead local incident-response coordination: classified leaks, lost devices, social engineering and suspicious foreign-contact reporting.
Vendor and supply-chain security
- Vet and onboard local vendors against ICEYE security standards (cleaning, IT, real estate, broker, legal, accounting).
- Run periodic security audits on key suppliers.
Programme and customer security interface
- Be the named security interface to the Portuguese Air Force, GNS / ANS, NATO and the Portuguese Space Agency on ICEYE Portugal matters.
- Support the FDEs on customer-site security questions during the SAR / SIP deployment, maintain the local security policy library, run the annual security training programme, and contribute to ICEYE's global security community of practice.
WHAT WE’RE LOOKING FOR
Must haves:
- Formal Facility Security Officer (FSO) or Security Manager experience in defence, aerospace or critical infrastructure.
- Working knowledge of physical security standards (locks, alarms, access control, CCTV, secure rooms) and information security frameworks (ISO 27001, NIST, NIS2).
- Hands-on experience running or actively supporting national clearance processes (GNS / ANS) and NATO classification frameworks (NATO RESTRICTED minimum).
- Active or recently held Portuguese national security clearance, or unambiguous eligibility to obtain one quickly.
- Excellent written and spoken English and Portuguese.
- Pragmatic, calm under pressure, comfortable with ambiguity and matrix reporting (Security, CEO).
- Basic IT literacy sufficient to coordinate with the local IT Site Engineer on secure-area technical requirements (network segmentation, air-gapped systems).
Nice to haves:
- Prior background as a non-commissioned or commissioned officer in the Portuguese Armed Forces, GNR, PSP, or SIS / SIED.
- Experience with sovereign or accredited cloud (NATO RESTRICTED, EU RESTRICTED) and export-control regimes (Wassenaar, dual-use EU 2021/821).
- Familiarity with Portugal's cyber regulator (CNCS) and NIS2 implementation.
When applying, please indicate your annual gross salary expectations.
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Helsinki; Paris
Workplace: Hybrid
ABOUT VOODOO
Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.
TEAM
The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry.
The Voodoo Ad-Network is an autonomous product group of around 60 highly driven professionals with an ambitious mission: building top-tier ad network services. Our primary goal is to leverage Voodoo's massive first-party data ecosystem to optimize and scale monetization. We are in a rapid growth phase, expanding into new ventures such as opening to external inventory, penetrating the external advertiser market, and driving social network monetization following our recent acquisition of BeReal. To support this incredible trajectory and promising early results, we are scaling our team.
The Models team is a core element of the targeting performance. It leverages machine learning and a strong business understanding to directly impact the product's financial performance. It's composed of mostly senior Data Analysts, Analytics Engineers, Data Engineers and Data Scientists/ML Engineers that iterate together on finding and building the next performing iteration.
This role can be either Paris or Helsinki based and done in a hybrid setup.
ROLE
We're looking for a Senior ML Engineer to join our Models team. You will be joining a dedicated squad of Data Engineers, Data Scientists, and ML Engineers focused on building and maintaining the ML training infrastructure that powers our ad-targeting models from data preprocessing through model deployment to production monitoring.
In this role, you will be leading the following topics:
- Architectural Ownership: Take end-to-end ownership of highly visible projects from ideation to production release. This includes feature scoping, timeline estimation, architecture design, and benchmarking new technologies.
- Pipeline Engineering: Build and maintain quality data and ML pipelines to align with ever-evolving business and machine learning needs. Optimize training pipelines for performance, memory efficiency, and cost (e.g. spot instance strategies, efficient data loading, preprocessed artifact reuse).
- Data Scientists Enablement: Enable Data Scientists to iterate faster by providing reusable, well-tested pipeline components (transformers, dataloaders, training utilities) and reviewing their contributions to shared code. Extend dataset capabilities: integrating new data sources, scaling feature windows, and increasing training data volumes without breaking pipeline constraints.
- Deep Learning Development: Contribute to deep learning development: GPU workload orchestration, custom PyTorch training loops, and model architecture support.
- ML Lifecycle & Reproducibility: Maintain reproducibility and consistency across the ML lifecycle: versioned configs, experiment tracking, and online-offline consistency tooling.
- Scalability & Reliability: Collaborate with infrastructure teams on scalability — node pools, resource monitoring, CI/CD migrations. Participate in weekly rotation to triage and resolve alerts from Airflow, dbt, and related systems.
- Agile Collaboration: Thrive in a fast-paced agile environment with rapid decision-making processes. You will collaborate daily with back-end developers, data scientists, infrastructure engineers, and product managers.
- Mentorship & Team Culture: You will actively contribute to our engineering culture, share knowledge, and ensure every team member feels comfortable, supported, and empowered to grow in their role.
PROFILE
We are looking for a Senior ML Engineer who deeply understands both the ML training lifecycle and the specific challenges of putting machine learning models into production at scale.
- 5+ years minimum of experience as an ML Engineer or a similar role
- End-to-End ML Ownership: Problem framing, baselines, experimentation, deployment, and iteration
- Python Proficiency: Extensive knowledge for ML pipeline code: preprocessing, training/evaluation workflows, experiment utilities, and reproducible configs
- Training Mechanics: Comfortable implementing training mechanics where needed (custom steps/metrics, dataloading patterns, performance-conscious preprocessing), not only notebook-level prototyping
- ML Frameworks: Practical experience training and evaluating models with scikit-learn, LightGBM, PyTorch for deep learning
- Performance Optimization: Experience optimizing memory usage during data preprocessing and model training
- Experiment Management: Hyperparameter tuning, experiment tracking, and reproducible training (configs, seeds, versioning)
- Cloud & Infrastructure: Experience with Amazon Web Services. Familiarity with scalability, reliability, and security topics
- ML Production Awareness: Understanding of the challenges involved in running ML models in production (familiar with topics such as feature store, training-serving skew, etc.)
- Model Serving: Experience with model serving infrastructure (real-time or batch inference, latency/throughput optimization) is a plus
- Excellent communication skills in English
OUR STACK
Python · Scikit-learn · LightGBM · PyTorch · DBT · Spark · MLflow · Prometheus · Terraform · Airflow · Kubernetes · Amazon Web Services
BENEFITS
- Excellent benefits that will depend on the country you're based in
Location: Limassol, Cyprus
Workplace: on-site
Mayflower is a technology company that alters the entertainment industry to a new level of perception and engagement.
We are building the future of live entertainment. We believe that by providing people with the best and highest-quality live streaming experience in entertainment, we can tackle the world’s “problems” better, together!
We are seeking an experienced Python Developer (ML) to join our dynamic team ML team.
Our technology stack:
Languages: Python;
Monitoring: Prometheus, VictoriaMetrics, Grafana, Grafana Loki, Sentry;
DBs: MariaDB, Clickhouse, Redis;
Streaming: Apache Kafka;
Workflow management: Apache Airflow, Argo Workflow;
Infrastructure: k8s, gitlab.
Job Responsibilities
Design and build production-grade Python services for running and maintaining ML applications for different domains: RecSys, CV, Classic ML, NLP.
Develop and maintain data pipelines for training, validation, batch inference workflows
Build internal tools and reusable modules for the ML team
Implement monitoring and observability for ML services using metrics, logs, and dashboards.
Contribute to continuous integration and delivery pipelines (testing, packaging, and automation).
Develop visualization and debugging tools for model outputs — including active learning and content analysis interfaces.
Ensure that all components are reliable, testable, and easy to maintain.
You’ll thrive here if you have
3+ years of experience as a Python Developer, Backend Engineer, or Data Engineer.
Strong Python skills (asyncio, FastAPI, pydantic, typing, modular architecture).
Proven experience designing and deploying production systems with Docker, Kubernetes and CI/CD.
Familiarity with ML workflows (you don’t need to train models yourself, but you understand how they’re served, retrained, and monitored).
Experience building data pipelines and integrating with various data sources.
Knowledge of metrics, logging, and observability best practices (Grafana, Prometheus, Loki, etc.).
Strong understanding of testing, clean code, and maintainable software design.
Qualification that can be a plus:
Experience working with machine learning teams or MLOps pipelines.
Experience with distributed systems or high-load backend services.
Conditions
We know that great talent deserves great conditions, so here's what you can expect when joining us:
EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family.
Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free.
Transparent performance reviews twice a year, with bonus opportunities and salary adjustments.
Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases.
Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus.
Mindfulness & well-being support, including psychological assistance with 50% coverage.
50% coverage of school and kindergarten fees for your children.
Fully covered sports benefits, and also access to in-house electric scooters and bike rentals, and cycling purchase compensation.
Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey.
A culture of recognition: a peer reward program to celebrate your contributions.
A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration.
Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks.
A strong engineering culture: international teams, corporate events, team buildings, and hackathons—because great work happens in great communities.
Recruitment process
HR Interview (40 min);
Technical Interview + Live Coding (1.5 hour);
Final Interview (1 hour).
About Us & The Team
Til-Qazyna is a national scientific and practical center dedicated to building the core digital and AI infrastructure for the Kazakh language. We develop foundational language resources, linguistic tools, and open-source models, including custom text corpora, morphological analyzers, RAG pipelines, and fine-tuned Large Language Models.
We are looking for an AI Engineer to focus exclusively on natural language processing, corpus engineering, and LLM fine-tuning.
Key Responsibilities
• LLM Adaptation & Fine-Tuning: Fine-tune, evaluate, and benchmark open-source LLMs (Llama, Mistral, Qwen, Gemma) for Kazakh language understanding and generation using parameter-efficient methods (LoRA, QLoRA, PEFT).
• NLP & Linguistic Tooling: Develop, maintain, and optimize rule-based and neural NLP components, including morphological analyzers, lemmatizers, tokenizers, and terminology parsers.
• Corpus & Data Pipelines: Design automated pipelines for large-scale text crawling, data cleaning, deduplication, synthetic data generation, and dataset curation.
• Inference & Deployment: Package NLP models and LLMs into containerized microservices (Docker, FastAPI) and optimize inference using modern serving frameworks (vLLM, Ollama, TensorRT-LLM, ONNX).
Requirements
• 1+ years of hands-on experience as NLP / AI / Machine Learning engineer.
• Solid understanding of the Transformer architecture, attention mechanisms, embeddings, and tokenization.
• Experience with core ML/NLP libraries: PyTorch, Hugging Face (transformers, datasets, accelerate, peft), Scikit-learn.
• Experience building data preprocessing pipelines and working with structured/unstructured text data.
• Practical knowledge of Docker, Linux, and Git.
• Degree in Computer Science, Data Science, Applied Mathematics.
Nice to Have
• Hands-on experience with modern LLM serving and optimization engines (vLLM, TGI, llama.cpp, quantization techniques like AWQ/GPTQ).
• Experience with RAG stacks (LangChain, LlamaIndex, ChromaDB, Qdrant, FAISS).
• Understanding of the morphological, agglutinative, or grammatical characteristics of the Kazakh language.
• Familiarity with alignment techniques (DPO, RLHF) or synthetic data generation.
What We Offer
• Direct impact on sovereign AI development and language technology used at scale.
• Official employment in full compliance with the Labor Code of the Republic of Kazakhstan.
• Access to high-performance GPU compute clusters for model training and experimentation.
Location: United Kingdom; Spain; Germany
Workplace: remote
Help Us Build The Future of Travel
At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world.
Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy.
We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone.
Your Next Destination
Location: Remote.
Contract: Full-time, permanent.
Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74
Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async.
We're looking for a Staff Data Scientist, Pricing to build the analytical and machine learning capability that pricing runs on, from demand modelling through to the systems that recommend price.
You won't be starting from zero. We've invested in the foundational data and infrastructure that pricing decisions depend on. What's missing is the capability on top: models the business trusts, experiments that settle pricing questions with evidence, and economics defined once so they hold consistently across Commercial, Product and the customer experience.
The arc of the role runs from measurement to prediction to prescription - understanding how demand responds to price, forecasting how it will respond, and ultimately building the models that recommend the price itself.
What You'll Do:
Build and own the demand and elasticity modelling capability, quantifying how price affects volume across destination, duration, data tier, and customer segment.
Develop machine learning models for demand forecasting and willingness-to-pay, and take them from exploration through to production with the monitoring and retraining that keeps them honest.
Move us from predictive to prescriptive by building the optimisation layer that turns forecasts and elasticities into recommended prices under margin, competitive and partner constraints.
Design and analyse pricing experiments with statistical rigour, and apply causal methods where clean randomisation isn't possible.
Define pricing within our data ecosystem, owning the governed definitions of price, cost and package economics that reporting, analysis and product surfaces all read from.
Partner with Commercial and Finance to connect pricing decisions to margin and revenue, and to size opportunities before we commit.
Set the analytical standard for pricing at Airalo, from what counts as evidence through to how a model or recommendation gets validated before it influences live pricing.
What You'll Bring:
7+ years in data science, quantitative economics, or applied research, including pricing, monetisation, or marketplace economics work that demonstrably changed decisions.
Experience with dynamic or algorithmic pricing systems in production.
An advanced degree in Econometrics, Statistics, Operations Research or similar, or equivalent applied depth in demand estimation and the identification problems that make naive price-quantity regressions wrong.
Hands-on machine learning experience across the full lifecycle, from feature engineering and model selection through to deployment
Familiarity with optimisation and decision-science methods that turn predictions into recommended actions, whether through constrained optimisation, bandits, or reinforcement learning approaches.
Proven experimentation expertise, having designed and defended experiments with a clear view on decision frameworks and common failure modes.
Experience building analytical capability where none existed before, turning raw data and a business question into something a commercial team uses repeatedly.
Strong data modelling instincts, thinking in reusable definitions and single sources of truth rather than standalone analyses.
The ability to move comfortably between financial, product and operational data and connect the analysis to a financial outcome.
Genuine partnership instincts, translating between analytical rigour and commercial reality so that Commercial and Product come to you early rather than after the decision.
Fluency in the Python ML stack alongside strong SQL, with the engineering hygiene to hand over code that others can run and maintain.
Excellent communication skills, including the ability to make a methodological argument to people who won't check your standard errors.
A self-starter mindset that thrives in ambiguity and brings structure without waiting for permission.
Comfort using AI tools to augment analytical work, with a point of view on where they help and where they don't
Nice to have:
Experience in marketplace, telecom, travel, or subscription/usage-based businesses.
Bayesian or hierarchical modelling for sparse segments and long-tail SKUs.
Competitive price response modelling, or working with scraped competitor pricing data.
Familiarity with dbt, LightDash, or similar semantic/BI layers.
Experience designing semantic or metric layers consumed by both analytics and production systems.
Experience working in cross-functional teams spanning commercial, finance and product disciplines.
If you are interested in this position, please apply via the link.
Why People Join Us
We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first.
Our team spans 60+ countries, united by a shared belief that great work happens when people are trusted to own what they do. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one.
As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact - from anywhere in the world.
Before You Hit Apply
By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy
We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process.
At Airalo, we believe in roaming-free recruitment. Just as we provide clear connectivity for travelers, we provide clear salary ranges for our candidates. 🌍
This role is remote and open to candidates across our supported locations in Europe. The range below reflects the full salary range for this role across the countries where it’s available:
📍UK: £93,200 - £139,800
📍Spain: €77,600- €116,400
📍Western/Northern Europe (Germany, France, Austria, Denmark, Sweden, Finland, Norway): €66,400 - €166,800
📍Southern Europe (Portugal, Italy, Greece, Malta): €70,000 - €137,000)
📍Central & Eastern Europe (Czechia, Hungary, Poland, Lithuania, Estonia): €60,000 - €117,000
📍South-Eastern Europe / Balkans (Romania, Serbia, Bulgaria): €56,000 – €100,000
Your Home Destination: Local market rates and cost of living vary, so your specific range depends on where you’re based. Most people join in the first half of the band, which leaves you plenty of room to grow, and you’ll see exactly how that looks from day one. In exceptional cases, where a candidate’s skills and experience clearly exceed what the role requires, we’re happy to talk about going higher. We’ll walk through your range together on your first call with our Talent team, so we’re all aligned for takeoff!
Location: Remote - Europe
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.
The role
We are looking for
an experienced Supply Chain Manager
with strong expertise & hands-on experience in
server and GPU infrastructure procurement
to support our global data center operations. You will operate at a high execution speed and be expected to quickly integrate into ongoing projects.
You are welcome to work at our head office in
Amsterdam, the Netherlands
, or
remotely
within the EU.
Your responsibilities will include:
Managing end-to-end procurement of server and GPU infrastructure for new data center builds
Negotiating directly with OEM/ODM vendors
Creating dashboards and report on existing tasks to ensure all tasks are done in a timely manner within the deadline.
Managing cost optimization, supply constraints, and vendor escalations
Coordinating closely with engineering, logistics, finance, and operations team
Maintenance Procurement: supporting global data centers after go-live, ensuring zero-disruption operations through proactive stock planning, coordinating urgent procurement
We expect you to have:
At least 5+ years of experience in server / data center hardware procurement
Direct experience working with ODM/OEM manufacturers
Strong negotiation skills with a history of securing supply commitments and favorable commercial terms in constrained markets
Experience operating in fast-paced, high-pressure environments
Ability to quickly understand technical infrastructure requirements
Working proficiency in English
It will be
an added bonus
if you have:
Hands-on experience with GPU procurement
Experience in hyper-scale / AI infrastructure environments
Experience in global procurement operations
Familiarity with NetSuite or ERP systems
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: San Francisco, CA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale.
We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry.
More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale.
ABOUT THE ROLE
We’re looking for a Solutions Marketing Manager to shape how LangChain brings its full platform to priority industries, enterprise buyers, and high-value use cases.
This role sits at the intersection of product and GTM. You’ll translate customer problems into clear solution narratives, repeatable sales plays, campaign themes, and customer-facing assets that help teams understand where LangChain fits in their AI strategy.
You’ll develop industry solutions, use case solutions, and enterprise solution stories for segments such as financial services, healthcare, life sciences, and other priority markets. You’ll work closely with sales, solutions, product, demand generation, field marketing, education, and customer teams to understand what matters in the field, turn those insights into messaging and collateral, and help create programs that support pipeline and revenue generation.
The role covers the full LangChain platform, including Observability & Evaluation, Deployment, Sandboxes, LLM Gateway, Fleet, Engine, and OSS. The goal is to explain how these products work together to help companies build, deploy, monitor, and improve agents in production.
You’ll define the problems we solve for specific audiences, package those into repeatable narratives, and help GTM teams take them to market.
WHAT YOU’LL DO
DEVELOP INDUSTRY AND USE CASE SOLUTIONS
- Build solution narratives for priority industries and enterprise use cases. Initial focus areas include financial services, healthcare, and life sciences, with room to expand based on GTM priorities.
- Translate customer problems into clear solution stories. You’ll connect LangChain’s platform capabilities to the business, operational, governance, and technical needs of specific audiences.
- Define repeatable use case messaging. You’ll identify where agents can create value across functions and industries, then turn those patterns into solution briefs, use case pages, campaign assets, sales decks, webinar narratives, and customer-facing content.
- Build a point of view on enterprise AI adoption. You’ll help explain how companies move from prototypes and isolated experiments to production deployments with the controls, visibility, and evaluation practices they need.
- Stay close to the market. You’ll synthesize customer conversations, sales feedback, competitive activity, industry trends, and product signals into sharper messaging and GTM recommendations.
SUPPORT ENTERPRISE GTM MOTIONS
- Partner with sales, solutions, field marketing, demand generation, and customer-facing teams on targeted enterprise campaigns and account motions.
- Build sales enablement for industry and enterprise conversations. This may include talk tracks, discovery questions, objection handling, use case maps, executive-ready decks, demo narratives, and competitive context.
- Turn field learnings into reusable sales plays. You’ll work with account teams to understand what resonates with buyers and turn those insights into repeatable messaging, collateral, and campaign programs.
- Create materials for complex buying committees. You’ll help LangChain speak clearly to technical buyers, AI leaders, IT and security stakeholders, business leaders, and functional teams.
- Support pipeline and revenue programs. You’ll help connect solution narratives to campaigns, events, webinars, ABM motions, field programs, and sales follow-up.
WHAT YOU’LL BRING
- You have 3–6+ years of experience in solutions marketing, enterprise marketing, product marketing, developer marketing, industry marketing, or a related GTM role.
- You’ve built messaging, collateral, or campaigns around technical products, AI/ML products, developer tools, B2B SaaS, infrastructure, automation, productivity tools, or platform products.
- You can turn customer problems into clear solution narratives. You know how to move from “what the product does” to “why this matters for this audience, industry, or use case.”
- You understand enterprise buying motions. You know how to create assets for complex buying committees, regulated industries, sales-led motions, and executive conversations.
- You’re comfortable with technical products. You don’t need to be an engineer, but you should be able to learn technical concepts quickly, ask good questions, and translate details into customer-facing messaging.
- You like working with sales and customer-facing teams. You’re interested in what happens in the field and know how to turn that feedback into stronger messaging and enablement.
- You’re comfortable working across many audiences, including developers, technical buyers, operators, admins, AI leaders, business stakeholders, and nontechnical end users.
- You can balance strategic thinking with execution. You can define a messaging POV, then build the deck, brief, landing page copy, or sales asset that brings it to life.
- You’re comfortable with ambiguity and iteration. The market for production-ready AI agents is still being defined, and you’re excited to ship, learn, and improve.
- You have genuine curiosity about agents, enterprise AI adoption, and how they will change how teams work.
NICE TO HAVE
- Experience building industry or solutions marketing programs for financial services, healthcare, life sciences, public sector, or other regulated industries.
- Experience supporting enterprise sales teams through enablement, account-based campaigns, customer-facing storytelling, competitive support, or executive-facing collateral.
- Familiarity with the LLM, agent, or AI application development ecosystem.
- Experience with PLG motions, onboarding, activation, lifecycle marketing, or self-serve adoption.
WHY JOIN
- You’ll help build the solutions marketing motion at LangChain. There is room to shape how we define priority industries, package use cases, support enterprise campaigns, and enable the field.
- You’ll work on a category that is moving from experimentation to enterprise adoption. Companies are trying to understand where agents can create real value and how to deploy them with control.
- You’ll join a small, fast-moving team. You’ll get real scope, close access to product and GTM leaders, and the ability to ship meaningful work quickly.
Compensation: 140,000 - 195,000K
COMPENSATION PHILOSOPHY:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: San Francisco, CA; Seattle, WA
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
Join Anthropic's Customer Success team in a high-visibility & high-impact role driving AI adoption for one of our largest accounts in the Tech segment. As a dedicated Enterprise Customer Success Manager you’ll be their strategic partner and trusted advisor helping them harness the full potential of all our Claude capabilities - API, Claude Code, Cowork, and other surface areas.
You'll work with a global technology leader to actively deploy and adopt AI to reshape the technology landscape. You’ll be working with key partners who are moving fast and pushing the boundaries of what's possible with LLM technology. Your role will entail developing genuine partnerships with the customer and key stakeholders, gaining a deep understanding of their multi-pronged business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us.
In partnership with the broader account team, you will provide your customer best practices and guidance to getting the most impact with Claude in a safe, sustainable way while supporting them as their consumption grows and evolves.
Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the ROI of their investment. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business.
Responsibilities:
Build trusting, strategic relationships with key customer decision makers in complex, matrixed organizations; understand their business and objectives and identify opportunities for optimization and expansion
Become an expert in Anthropic's products across API, Claude Code and Cowork, understanding the technical nuances and best practices for each to guide customers to the right solutions
Own the customer operations across their lifecycle, maintaining a structured operational assessment of the account (customer readiness, operational health, strategic alignment, enablement strategy, adoption intelligence) that grounds comprehensive account and success plans and Quarterly Business Reviews
Identify potential use cases and lines of business not currently onboarded, partnering with customers and Sales/Product to discover new applications for Claude across different departments, teams, and workflows
Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement
Leverage your deep knowledge of the customer to proactively drive consumption planning and the value story behind it, developing credible ROI hypotheses, and quantifying outcomes that build the case for continued and expanded investment
Ruthlessly prioritize across the account's many business units and workstreams, building programmatic, repeatable motions
You may be a good fit if you have:
8+ years of experience in Customer Success, Technical Account Management, Solutions Engineering, and/or Strategy Consulting
Experience working with F10 companies at the exec level — ideally including established tech companies – you understand what it means to lead organization-wide change or adoption programs (multiple functions, thousands of users) for a product that required C-suite sponsorship
Technical fluency with ability to understand and articulate AI/ML concepts, the software development lifecycle (SDLC), and implementation patterns across a set of diverse stakeholders—from end users to executives
You build with AI daily, automating your own workflows with agents, skills, and tooling is second nature, preferred experience with Claude Code
Proven track record of driving measurable outcomes inside a single, highly matrixed organization with many business units. You treat customer asks as two-way exchanges: comfortable asking for commitments, references, and access in return, and pushing back on requests that aren't leveraged.
Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs.
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:
$200,000
—
$320,000 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: United States; Canada
Workplace: Remote
Veda builds vault infrastructure for DeFi at scale. We manage billions total value locked across 15+ blockchain networks, powering yield strategies for partners including Kraken, Etherfi, and Plasma. Our protocol turns complex multi-chain DeFi positions into simple vault interfaces that institutional and retail users can actually trust.
We’re hiring a Senior Backend Engineer to be a key design partner in our next-generation platform infrastructure. You’ll own the systems architecture that sits behind billions in assets, event indexing, data pipelines, risk engines, multi-chain orchestration, the infrastructure that has to be right because real money depends on it.
You won’t be handed a spec. You’ll look at what we have, understand where we’re going, and figure out what needs to be built, rebuilt, or thrown away. Then you’ll build it.
THE ROLE
You’ll work with the team to evolve our production infrastructure from its current state into a platform that can scale with our growth. This means:
- Designing and building the services that power our vault infrastructure, event indexing across 15+ chains, data platforms for risk calculation engines, real-time position tracking, and the orchestration layer that ties it all together.
- Owning the cloud architecture end to end. We run on AWS. You’ll make decisions about how our services are deployed, how they scale, how they fail gracefully, and how we maintain them without hero culture.
- Building data pipelines that are fast, correct, and auditable. Our vaults execute complex DeFi strategies across multiple protocols, Aave, Morpho, Uniswap, and more. The data infrastructure needs to keep pace with on-chain state across every network we operate on.
- Making our systems observable and operable. Monitoring, alerting, runbooks, oncall-friendly architecture. You’ll help us move from “one person knows how this works” to “anyone on the team can diagnose this at 3am.”
- Working across the boundary between on-chain and off-chain. Vault state lives on-chain. Risk calculations, indexing, caching, and API serving happen off-chain. You’ll design where that boundary sits and how data flows across it.
- Communicating clearly about technical decisions. Writing design docs that the team can actually follow. Explaining tradeoffs to non-engineers. Turning ambiguity into shared understanding. This matters as much as the code.
YOU HAVE
- Deep cloud architecture chops. Significant experience with AWS in production at scale.
- You’ve designed and operated systems where uptime matters, not “we should have five nines” slide decks, but actual production systems handling real load with real consequences when they break.
- Strong systems engineering fundamentals. You’ve built event-driven architectures, data pipelines, caching layers, and API services that handle high throughput. You know the difference between a system that works in a demo and one that works during a bull market.
- IaC fluency. Terraform, CI/CD, containerization, Infrastructure as Code. You believe infrastructure should be reproducible, version-controlled, and reviewable.
- Excellent communication skills. You can write clear design documents, explain architectural decisions to teammates with different backgrounds, and have productive disagreements about technical direction. You make the people around you better by making complex things understandable.
- You’ve seen production at scale. You’ve lived through systems that scaled past their original design. You know what breaks first, what compromises are temporary, and what shortcuts become permanent regret.
- Strong opinions, loosely held. You’ve formed strong views through experience and you’re willing to defend them, but you change your mind when presented with better information. You care about getting it right, not about being right.
EVEN BETTER IF
- You have experience with blockchain data, indexing events, tracking on-chain state, dealing with reorgs, multi-chain consistency. Not required, but it’ll shorten your ramp significantly.
- You’ve worked in DeFi or crypto infrastructure. You understand what a vault is, how yield strategies compose, and why TVL matters.
- You have experience with Rust or Python in data-intensive contexts, we have systems in both.
- You’ve built or operated multi-tenant platforms where different clients share infrastructure with isolation guarantees.
WHAT YOU’LL WALK INTO
We’re a 35-person team that’s raised $18M at Series A. The infrastructure works, it’s running in production handling billions in TVL, but it was built for the company we were, not the company we’re becoming. We’re transitioning from founder-dependent operations to scalable engineering practices. You’ll be a key part of making that real.
Current stack includes AWS, Python, Rust, microservices architecture, and smart contracts across 15+ EVM and non-EVM chains. We’re actively investing in Infrastructure as Code, containerization, CI/CD, and proper oncall rotations.
COMPENSATION
Competitive base salary plus equity. We’re a Series A company heading toward Series B — early enough that your equity is meaningful, late enough that the business is real.
We’re not building a prototype. We’re running production infrastructure that manages billions of dollars across dozens of blockchain networks for some of the biggest names in crypto. We need someone who knows how to make that kind of system reliable, scalable, and operable — and who can bring the rest of the team along while doing it.
Location: London Office; Berlin Office
Workplace: Hybrid
About the role
Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Senior Recruiter to be the face of Taktile for our future team members. Your primary responsibilities will include sourcing, recruiting, and managing the candidate journey to ensure we attract and hire exceptional talent. As a key driver of our growth, your work will directly influence the success and scalability of our operations.
This role is perfect for someone eager to play a central role in shaping Taktile's organization. We are looking for a skilled recruiter who knows how to identify and attract top talent and who thrives in the fast-moving, competitive landscape of AI.
This role is based in our London or Berlin office. We believe great recruiting is highly collaborative and relationship-driven, so we work together in person at least three days per week.
What You'll Do
- Own the full recruiting cycle for a portfolio of GTM roles, from role scoping with hiring managers through offer close, moving fast without sacrificing quality or candidate experience.
- Build and execute sourcing strategies tailored to each role, using LinkedIn Recruiter, AI-assisted tools, and creative outreach to reach both active and passive candidates.
- Act as a strategic partner to hiring managers, not just an executor. That means shaping job requirements, challenging assumptions, and keeping searches on track when priorities shift.
- Deliver a standout candidate experience at every touchpoint: clear communication, timely feedback, and a process that reflects Taktile's values even when we're moving quickly.
- Leverage data to drive decisions. Track pipeline health, identify drop-off points, and share regular hiring funnel updates that lead to action, not just reporting.
- Act as a strong partner and domain expert to the organization. Collaborate closely with leaders to comprehend their hiring needs and develop recruiting strategies to meet headcount targets. This person will be a senior partner to our leaders and shape our overall talent strategy.
- Contribute to how we hire, not just who we hire. Help refine our assessment frameworks, improve structured interview practices, and bring new ideas for how Taktile stays competitive in a tight talent market.
- Support employer branding and talent marketing through events, content, and community presence, making Taktile a name candidates recognize and want to join.
- Collaborate with People Ops to ensure smooth handoffs post-offer, including onboarding coordination, relocations, and visa support where needed.
Required Experience
- 5+ years of hands-on experience in proactive sourcing and talent acquisition, preferably in high-growth startups or dynamic environments.
- Deep experience hiring across GTM functions- including Account Executives, BDRs, Solutions Engineers, Forward Deployed Engineers, & Marketing. You know how to read a strong GTM candidate and how to sell a compelling opportunity to them.
- Experience partnering with leaders throughout the recruiting process, acting as a strong hiring partner and trusted advisor.
- Actively using AI tools in your recruiting workflow- whether for sourcing, outreach personalization, candidate research, or pipeline management. You stay current with the evolving recruiter tech stack and bring a point of view on how AI can make hiring smarter and faster.
- Skilled in using LinkedIn Recruiter, ATS tools, and Google Suite to streamline the recruitment process for both active and passive candidates.
- Proficient in sourcing talent across a range of seniority levels, from entry-level graduates to senior professionals.
- Expertise in conducting behavioral and competency-based interviews with a strong ability to effectively evaluate candidates’ skills, cultural fit, and potential.
- Experience managing both high-volume hiring and specialized searches for niche roles.
- Familiarity with tracking and analyzing recruitment metrics (e.g., time-to-hire, quality of hire, and source effectiveness) and using data to refine strategies and improve processes.
Ideal, But Not Required
- Experience in B2B SaaS recruitment.
- Familiarity with Ashby
Our Offer
- Make a meaningful impact by shaping a fast-growing company and creating new opportunities.
- We offer a competitive salary for this role along with an equity component as part of the total compensation package. The final compensation, including salary and equity, will be determined based on factors such as experience, qualifications, and market conditions.
- Market-led and competitive benefits package including access to a self-development budget for conferences, books, or classes.
- Join us onsite in our inspiring office spaces in Berlin, NYC, or London.
- Experience a truly flat hierarchy, interacting directly with founding team members and voicing your ideas.
- Learn from experienced mentors, including the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath.
- Join us at an early but pivotal growth stage where you can take ownership to help us achieve the right business outcomes.
Our Stance
- We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it.
- We seek to actively recognize and combat racism, sexism, ableism, and ageism. We embrace and support all gender identities and expressions and celebrate love in its many forms. We won't inquire about how you identify, or if you've experienced discrimination, but if you want to tell your story, we are all ears.
About Us
Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com.
About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process.
Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references.
How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities.
Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)).
Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records.
Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent.
Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review.
International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms.
By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy https://taktile.com/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com.
Location: Redwood City, CA, United States
WHAT IS BOX?
Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.
At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in.
If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!
WHY BOX NEEDS YOU
Box is building the infrastructure that powers AI agents across our entire product ecosystem — and we need a hands-on engineering leader to run it. The Agent Runtime team is a platform team at the heart of Box's AI-first strategy. You will own the runtime engine that enables every Box product team to deploy and operate AI agents at scale, supporting tenants like Box Notes, Canvas, Automate, and Workflows. This is not a team that ships features in isolation — it is the foundation that makes Box's agent-powered products possible.
You will lead a tight-knit team of six engineers (a hybrid of software engineers and ML engineers), work cross-functionally with product and engineering leaders across the company, and present weekly progress directly to VP-level stakeholders. If you are energized by fast-moving, ambiguous environments where the work you do has immediate and visible impact on the business, this is the role for you.
WHAT YOU'LL DO
Lead and grow a six-person hybrid team of software engineers and ML engineers building and operating Box's agent runtime platform.
Own the onboarding of internal tenant teams onto the agent runtime, partnering closely with PMs and engineering managers across multiple product organizations to support their agent deployments.
Drive the technical architecture of the agent runtime service, including the context retrieval layer, ensuring reliability, scalability, and quality.
Champion an eval-driven development culture — define evaluation frameworks, run agent quality assessments, and use data to guide the team's technical direction.
Manage and coordinate the team's on-call rotation to ensure timely and effective incident response, actively participate in escalated on-call incidents to provide leadership and support, and drive improvements by addressing recurring issues to minimize disruptions and deliver an enterprise grade platform.
Present weekly plans, progress, and demos to VP-level leadership, maintaining high visibility and accountability for the team's execution.
Contribute directly to technical solutions — including code — when the team needs it, modeling the player-coach approach that defines this team's culture.
WHO YOU ARE
We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.
You bring 7+ years of software or ML engineering experience and have maintained strong technical fundamentals — you are comfortable with distributed systems, ML systems, and can roll up your sleeves and contribute code when the team needs it.
You have 2+ years of engineering management experience leading hybrid teams of software engineers and ML engineers, and you lead from the front rather than from a distance.
You have hands-on experience with AI agents or LLM-based systems — you can speak fluently about agent architectures (ReAct, planner-based, or similar), evaluation methodologies (recall, precision, NDCG, LLM-as-judge), and the real-world challenges of deploying customer-facing agents in production at scale
You thrive in ambiguous, fast-moving environments where priorities shift with the industry — you adapt quickly, keep the team focused, and deliver customer value even when the plan changes.
You are a natural cross-functional collaborator who has worked with multiple teams outside your own org — partnering with product managers and engineering leaders across different organizations is where you do some of your best work.
Familiarity with LangGraph or other agent harness frameworks (e.g., DSPy, AutoGen) is a plus, though equivalent experience with other agent architectures is equally valued.
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process.
EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.
Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete
this form
. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.
Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance. The Fair Chance Ordinance is provided
here
.
Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance. The Fair Chance Ordinance is provided
here
.
For details on how we protect your information when you apply, please see our
Personnel Privacy Notice.
If you are a California-resident, please read our California Applicant & Candidate Privacy Notice
here
.
NOTICE OF USE OF AI
At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage
here
.
Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits.
For more information
, check out our
benefits and perks
.
In accordance with OFCCP compliance, here is the
Pay Transparency Provision
.
Redwood City Pay Range
$217,000
—
$271,500 USD
ОфисPerm; Kuala Lumpur; Baku; Vladivostok
seniorBulgaria
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.
УдалённоseniorSingapore; Korea; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
Georgia
ГибридLisbon
ГибридseniorHelsinki; Paris
ОфисLimassol, Cyprus; EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family; Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free
УдалённоUnited Kingdom; Spain; Germany; We sincerely thank all applicants in advance for submitting their interest in this opportunity
УдалённоRemote - Europe
ОфисSan Francisco, CA
San Francisco, CA; Seattle, WA
УдалённоseniorUnited States; Canada
ГибридseniorLondon Office; Berlin Office
Redwood City, CA, United States; Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance; Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance
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