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Location: Belgrade, Serbia About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for a hands-on Engineering Manager to lead a team building core internal infrastructure and developer-facing systems. This role sits at the intersection of project management, engineering leadership, and platform development. The team (Evaluation Engines / Data processing engines) owns foundational components which are embedded into higher level workflow engines and tools. Examples are formula evaluation, data transformation according to predefined mapping, decision models, etc. The team is technically strong and highly autonomous. We are looking for an Engineering Manager who can operate effectively in this environment: someone with a strong engineering background who understands complex systems, but does not need to be the deepest technical expert in every area. Your role will be to help experienced engineers work effectively together, create clarity across interconnected initiatives, and improve how the team plans, collaborates, and delivers. What You’ll Do Lead a strong engineering team You will manage and develop experienced engineers with significant ownership of their technical domains. The team is mostly Rust engineers, however they also build libraries for several other programming languages: Go, Ruby, Java, Python, and WASM. You will be responsible for regular 1:1s, feedback, performance management, career development, hiring, onboarding, and team health. We expect you to create an environment where engineers can remain highly autonomous while having clear priorities, ownership, and accountability. You will be responsible for team capacity planning and hiring when needed. Build strong product You will be working closely with Product Managers and department VP to define how the products look, what to build and in which order, what new exciting features we can bring to our customers. As this area is highly technical and speaks Computer Science terms at times, Product Managers will greatly rely on your and your team expertise to make decisions. You will be responsible for working with Quality Engineering and Product Security teams to deliver high-quality products. At the same time in this AI era we expect you to embrace new tools to shift quality and security scans left. Drive planning and execution The team owns several interconnected technical areas, often developed across separate repositories and involving dependencies between engineers and projects. You will: Own planning and operational execution across multiple engineering workstreams. Create visibility into priorities, dependencies, timelines, and resource allocation. Help the team turn broad technical direction into an executable roadmap. Identify and remove blockers before they significantly impact delivery. Balance new development, customer commitments, operational work, and technical debt. Define meaningful engineering metrics and use them to identify opportunities for improvement. Keep stakeholders informed about progress, risks, and trade-offs. Plan release and update cycles of the product. Maintain the product, be responsible for defects triaging and mitigation. Stay close to technology This is strictly not a purely people-management role. Technical background and experience is a must. We don't expect you to be a fluent Rust developer, we in fact are not expecting you to know Rust at all. But you should be comfortable participating in technical discussions, reviewing designs and architecture proposals, understanding engineering trade-offs, and challenging assumptions when needed. You should have a wide industry knowledge, and understand the pros and cons of different programming languages and platforms. Depending on your background and interests, you may also review code, contribute to tooling or prototypes, participate in incident investigation, or use automation and AI-assisted development to improve engineering workflows. At the same time, we do not expect the Engineering Manager to make every technical decision. Senior engineers (your team will contain a mix of engineers up to Staff and Architect levels) own significant parts of the technical direction, and a key part of the role is enabling them to do that effectively. What We’re Looking For We are looking for someone with: Significant software engineering experience before or alongside engineering management. Experience managing senior, autonomous engineers. A strong background in platform engineering, developer infrastructure, developer productivity, backend infrastructure, or distributed systems. Experience with CI/CD, release engineering, developer tooling, or internal engineering platforms. Experience owning roadmaps and delivering multi-quarter engineering initiatives. Strong understanding of software development lifecycle and engineering practices. Experience managing technical debt alongside product and business priorities. Ability to understand complex technical discussions without needing to personally own every implementation decision. Strong stakeholder management and cross-functional communication skills. Experience hiring, coaching, and developing engineers. A pragmatic approach to engineering processes: enough structure to make teams effective, without unnecessary bureaucracy. What Makes Someone Successful in This Role You are comfortable joining a team where engineers may understand individual systems more deeply than you do. Instead of trying to become the technical owner of every component, you ask the right questions, understand trade-offs, create clarity, and help engineers make good decisions together. You enjoy finding problems in the engineering system itself: unclear ownership, slow reviews, hidden dependencies, fragmented tooling, competing priorities, or processes that depend too heavily on individuals pushing things forward. You can move between a conversation about architecture or CI pipelines, a 1:1 with an engineer, roadmap prioritization with Product, and a discussion about why delivery is taking longer than expected. You are comfortable aligning your team roadmap with requirements from Product Managers, and from Engineering leadership, which may be different, and working with different stakeholders in general. Most importantly, you combine technical credibility with strong people and execution leadership. Nice to Have Experience with some of the following would be particularly relevant: Golang or Rust; understanding of WASM platform. Basic understanding of formal grammar, AST, compiler frontends. Observability and operational tooling. Open-source development. AI-assisted software development and automated code review. PostgreSQL or database infrastructure. Kubernetes, Docker, Terraform, or cloud infrastructure. Multi-repository development environments. Developer-facing APIs, SDKs, libraries, or integrations. (REQ ID: 2582)

Location: Tbilisi, Georgia About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for a hands-on Engineering Manager to lead a team building core internal infrastructure and developer-facing systems. This role sits at the intersection of project management, engineering leadership, and platform development. The team (Evaluation Engines / Data processing engines) owns foundational components which are embedded into higher level workflow engines and tools. Examples are formula evaluation, data transformation according to predefined mapping, decision models, etc. The team is technically strong and highly autonomous. We are looking for an Engineering Manager who can operate effectively in this environment: someone with a strong engineering background who understands complex systems, but does not need to be the deepest technical expert in every area. Your role will be to help experienced engineers work effectively together, create clarity across interconnected initiatives, and improve how the team plans, collaborates, and delivers. What You’ll Do Lead a strong engineering team You will manage and develop experienced engineers with significant ownership of their technical domains. The team is mostly Rust engineers, however they also build libraries for several other programming languages: Go, Ruby, Java, Python, and WASM. You will be responsible for regular 1:1s, feedback, performance management, career development, hiring, onboarding, and team health. We expect you to create an environment where engineers can remain highly autonomous while having clear priorities, ownership, and accountability. You will be responsible for team capacity planning and hiring when needed. Build strong product You will be working closely with Product Managers and department VP to define how the products look, what to build and in which order, what new exciting features we can bring to our customers. As this area is highly technical and speaks Computer Science terms at times, Product Managers will greatly rely on your and your team expertise to make decisions. You will be responsible for working with Quality Engineering and Product Security teams to deliver high-quality products. At the same time in this AI era we expect you to embrace new tools to shift quality and security scans left. Drive planning and execution The team owns several interconnected technical areas, often developed across separate repositories and involving dependencies between engineers and projects. You will: Own planning and operational execution across multiple engineering workstreams. Create visibility into priorities, dependencies, timelines, and resource allocation. Help the team turn broad technical direction into an executable roadmap. Identify and remove blockers before they significantly impact delivery. Balance new development, customer commitments, operational work, and technical debt. Define meaningful engineering metrics and use them to identify opportunities for improvement. Keep stakeholders informed about progress, risks, and trade-offs. Plan release and update cycles of the product. Maintain the product, be responsible for defects triaging and mitigation. Stay close to technology This is strictly not a purely people-management role. Technical background and experience is a must. We don't expect you to be a fluent Rust developer, we in fact are not expecting you to know Rust at all. But you should be comfortable participating in technical discussions, reviewing designs and architecture proposals, understanding engineering trade-offs, and challenging assumptions when needed. You should have a wide industry knowledge, and understand the pros and cons of different programming languages and platforms. Depending on your background and interests, you may also review code, contribute to tooling or prototypes, participate in incident investigation, or use automation and AI-assisted development to improve engineering workflows. At the same time, we do not expect the Engineering Manager to make every technical decision. Senior engineers (your team will contain a mix of engineers up to Staff and Architect levels) own significant parts of the technical direction, and a key part of the role is enabling them to do that effectively. What We’re Looking For We are looking for someone with: Significant software engineering experience before or alongside engineering management. Experience managing senior, autonomous engineers. A strong background in platform engineering, developer infrastructure, developer productivity, backend infrastructure, or distributed systems. Experience with CI/CD, release engineering, developer tooling, or internal engineering platforms. Experience owning roadmaps and delivering multi-quarter engineering initiatives. Strong understanding of software development lifecycle and engineering practices. Experience managing technical debt alongside product and business priorities. Ability to understand complex technical discussions without needing to personally own every implementation decision. Strong stakeholder management and cross-functional communication skills. Experience hiring, coaching, and developing engineers. A pragmatic approach to engineering processes: enough structure to make teams effective, without unnecessary bureaucracy. What Makes Someone Successful in This Role You are comfortable joining a team where engineers may understand individual systems more deeply than you do. Instead of trying to become the technical owner of every component, you ask the right questions, understand trade-offs, create clarity, and help engineers make good decisions together. You enjoy finding problems in the engineering system itself: unclear ownership, slow reviews, hidden dependencies, fragmented tooling, competing priorities, or processes that depend too heavily on individuals pushing things forward. You can move between a conversation about architecture or CI pipelines, a 1:1 with an engineer, roadmap prioritization with Product, and a discussion about why delivery is taking longer than expected. You are comfortable aligning your team roadmap with requirements from Product Managers, and from Engineering leadership, which may be different, and working with different stakeholders in general. Most importantly, you combine technical credibility with strong people and execution leadership. Nice to Have Experience with some of the following would be particularly relevant: Golang or Rust; understanding of WASM platform. Basic understanding of formal grammar, AST, compiler frontends. Observability and operational tooling. Open-source development. AI-assisted software development and automated code review. PostgreSQL or database infrastructure. Kubernetes, Docker, Terraform, or cloud infrastructure. Multi-repository development environments. Developer-facing APIs, SDKs, libraries, or integrations. (REQ ID: 2582)

Location: Sofia, Bulgaria About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for a hands-on Engineering Manager to lead a team building core internal infrastructure and developer-facing systems. This role sits at the intersection of project management, engineering leadership, and platform development. The team (Evaluation Engines / Data processing engines) owns foundational components which are embedded into higher level workflow engines and tools. Examples are formula evaluation, data transformation according to predefined mapping, decision models, etc. The team is technically strong and highly autonomous. We are looking for an Engineering Manager who can operate effectively in this environment: someone with a strong engineering background who understands complex systems, but does not need to be the deepest technical expert in every area. Your role will be to help experienced engineers work effectively together, create clarity across interconnected initiatives, and improve how the team plans, collaborates, and delivers. What You’ll Do Lead a strong engineering team You will manage and develop experienced engineers with significant ownership of their technical domains. The team is mostly Rust engineers, however they also build libraries for several other programming languages: Go, Ruby, Java, Python, and WASM. You will be responsible for regular 1:1s, feedback, performance management, career development, hiring, onboarding, and team health. We expect you to create an environment where engineers can remain highly autonomous while having clear priorities, ownership, and accountability. You will be responsible for team capacity planning and hiring when needed. Build strong product You will be working closely with Product Managers and department VP to define how the products look, what to build and in which order, what new exciting features we can bring to our customers. As this area is highly technical and speaks Computer Science terms at times, Product Managers will greatly rely on your and your team expertise to make decisions. You will be responsible for working with Quality Engineering and Product Security teams to deliver high-quality products. At the same time in this AI era we expect you to embrace new tools to shift quality and security scans left. Drive planning and execution The team owns several interconnected technical areas, often developed across separate repositories and involving dependencies between engineers and projects. You will: Own planning and operational execution across multiple engineering workstreams. Create visibility into priorities, dependencies, timelines, and resource allocation. Help the team turn broad technical direction into an executable roadmap. Identify and remove blockers before they significantly impact delivery. Balance new development, customer commitments, operational work, and technical debt. Define meaningful engineering metrics and use them to identify opportunities for improvement. Keep stakeholders informed about progress, risks, and trade-offs. Plan release and update cycles of the product. Maintain the product, be responsible for defects triaging and mitigation. Stay close to technology This is strictly not a purely people-management role. Technical background and experience is a must. We don't expect you to be a fluent Rust developer, we in fact are not expecting you to know Rust at all. But you should be comfortable participating in technical discussions, reviewing designs and architecture proposals, understanding engineering trade-offs, and challenging assumptions when needed. You should have a wide industry knowledge, and understand the pros and cons of different programming languages and platforms. Depending on your background and interests, you may also review code, contribute to tooling or prototypes, participate in incident investigation, or use automation and AI-assisted development to improve engineering workflows. At the same time, we do not expect the Engineering Manager to make every technical decision. Senior engineers (your team will contain a mix of engineers up to Staff and Architect levels) own significant parts of the technical direction, and a key part of the role is enabling them to do that effectively. What We’re Looking For We are looking for someone with: Significant software engineering experience before or alongside engineering management. Experience managing senior, autonomous engineers. A strong background in platform engineering, developer infrastructure, developer productivity, backend infrastructure, or distributed systems. Experience with CI/CD, release engineering, developer tooling, or internal engineering platforms. Experience owning roadmaps and delivering multi-quarter engineering initiatives. Strong understanding of software development lifecycle and engineering practices. Experience managing technical debt alongside product and business priorities. Ability to understand complex technical discussions without needing to personally own every implementation decision. Strong stakeholder management and cross-functional communication skills. Experience hiring, coaching, and developing engineers. A pragmatic approach to engineering processes: enough structure to make teams effective, without unnecessary bureaucracy. What Makes Someone Successful in This Role You are comfortable joining a team where engineers may understand individual systems more deeply than you do. Instead of trying to become the technical owner of every component, you ask the right questions, understand trade-offs, create clarity, and help engineers make good decisions together. You enjoy finding problems in the engineering system itself: unclear ownership, slow reviews, hidden dependencies, fragmented tooling, competing priorities, or processes that depend too heavily on individuals pushing things forward. You can move between a conversation about architecture or CI pipelines, a 1:1 with an engineer, roadmap prioritization with Product, and a discussion about why delivery is taking longer than expected. You are comfortable aligning your team roadmap with requirements from Product Managers, and from Engineering leadership, which may be different, and working with different stakeholders in general. Most importantly, you combine technical credibility with strong people and execution leadership. Nice to Have Experience with some of the following would be particularly relevant: Golang or Rust; understanding of WASM platform. Basic understanding of formal grammar, AST, compiler frontends. Observability and operational tooling. Open-source development. AI-assisted software development and automated code review. PostgreSQL or database infrastructure. Kubernetes, Docker, Terraform, or cloud infrastructure. Multi-repository development environments. Developer-facing APIs, SDKs, libraries, or integrations. (REQ ID: 2582)

Location: Berlin, Germany; Frankfurt, Germany; Munich, Germany About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for a hands-on Engineering Manager to lead a team building core internal infrastructure and developer-facing systems. This role sits at the intersection of project management, engineering leadership, and platform development. The team (Evaluation Engines / Data processing engines) owns foundational components which are embedded into higher level workflow engines and tools. Examples are formula evaluation, data transformation according to predefined mapping, decision models, etc. The team is technically strong and highly autonomous. We are looking for an Engineering Manager who can operate effectively in this environment: someone with a strong engineering background who understands complex systems, but does not need to be the deepest technical expert in every area. Your role will be to help experienced engineers work effectively together, create clarity across interconnected initiatives, and improve how the team plans, collaborates, and delivers. What You’ll Do Lead a strong engineering team You will manage and develop experienced engineers with significant ownership of their technical domains. The team is mostly Rust engineers, however they also build libraries for several other programming languages: Go, Ruby, Java, Python, and WASM. You will be responsible for regular 1:1s, feedback, performance management, career development, hiring, onboarding, and team health. We expect you to create an environment where engineers can remain highly autonomous while having clear priorities, ownership, and accountability. You will be responsible for team capacity planning and hiring when needed. Build strong product You will be working closely with Product Managers and department VP to define how the products look, what to build and in which order, what new exciting features we can bring to our customers. As this area is highly technical and speaks Computer Science terms at times, Product Managers will greatly rely on your and your team expertise to make decisions. You will be responsible for working with Quality Engineering and Product Security teams to deliver high-quality products. At the same time in this AI era we expect you to embrace new tools to shift quality and security scans left. Drive planning and execution The team owns several interconnected technical areas, often developed across separate repositories and involving dependencies between engineers and projects. You will: Own planning and operational execution across multiple engineering workstreams. Create visibility into priorities, dependencies, timelines, and resource allocation. Help the team turn broad technical direction into an executable roadmap. Identify and remove blockers before they significantly impact delivery. Balance new development, customer commitments, operational work, and technical debt. Define meaningful engineering metrics and use them to identify opportunities for improvement. Keep stakeholders informed about progress, risks, and trade-offs. Plan release and update cycles of the product. Maintain the product, be responsible for defects triaging and mitigation. Stay close to technology This is strictly not a purely people-management role. Technical background and experience is a must. We don't expect you to be a fluent Rust developer, we in fact are not expecting you to know Rust at all. But you should be comfortable participating in technical discussions, reviewing designs and architecture proposals, understanding engineering trade-offs, and challenging assumptions when needed. You should have a wide industry knowledge, and understand the pros and cons of different programming languages and platforms. Depending on your background and interests, you may also review code, contribute to tooling or prototypes, participate in incident investigation, or use automation and AI-assisted development to improve engineering workflows. At the same time, we do not expect the Engineering Manager to make every technical decision. Senior engineers (your team will contain a mix of engineers up to Staff and Architect levels) own significant parts of the technical direction, and a key part of the role is enabling them to do that effectively. What We’re Looking For We are looking for someone with: Significant software engineering experience before or alongside engineering management. Experience managing senior, autonomous engineers. A strong background in platform engineering, developer infrastructure, developer productivity, backend infrastructure, or distributed systems. Experience with CI/CD, release engineering, developer tooling, or internal engineering platforms. Experience owning roadmaps and delivering multi-quarter engineering initiatives. Strong understanding of software development lifecycle and engineering practices. Experience managing technical debt alongside product and business priorities. Ability to understand complex technical discussions without needing to personally own every implementation decision. Strong stakeholder management and cross-functional communication skills. Experience hiring, coaching, and developing engineers. A pragmatic approach to engineering processes: enough structure to make teams effective, without unnecessary bureaucracy. What Makes Someone Successful in This Role You are comfortable joining a team where engineers may understand individual systems more deeply than you do. Instead of trying to become the technical owner of every component, you ask the right questions, understand trade-offs, create clarity, and help engineers make good decisions together. You enjoy finding problems in the engineering system itself: unclear ownership, slow reviews, hidden dependencies, fragmented tooling, competing priorities, or processes that depend too heavily on individuals pushing things forward. You can move between a conversation about architecture or CI pipelines, a 1:1 with an engineer, roadmap prioritization with Product, and a discussion about why delivery is taking longer than expected. You are comfortable aligning your team roadmap with requirements from Product Managers, and from Engineering leadership, which may be different, and working with different stakeholders in general. Most importantly, you combine technical credibility with strong people and execution leadership. Nice to Have Experience with some of the following would be particularly relevant: Golang or Rust; understanding of WASM platform. Basic understanding of formal grammar, AST, compiler frontends. Observability and operational tooling. Open-source development. AI-assisted software development and automated code review. PostgreSQL or database infrastructure. Kubernetes, Docker, Terraform, or cloud infrastructure. Multi-repository development environments. Developer-facing APIs, SDKs, libraries, or integrations. (REQ ID: 2582)

Location: Germany Are you a health or performance professional thinking about a career change? Are you passionate about how technology can help progress your profession? If you have experience working in a clinical or high-performance setting and are a physiotherapist or an athletic trainer a role as a Client Success Manager at VALD could be the change you need! About the VALD Client Success Team Our Client Success team is dedicated to assisting clients in implementing and embedding VALD technology. It all starts with seamless onboarding for new clients, which ensures they have all the tools they need to start using VALD products successfully. The Client Success team continues to support the client throughout their journey with VALD. We are looking for someone to join our team in Germany. What you will do As a Client Success Manager at VALD, you will work directly with an assigned portfolio of clients as the VALD subject matter expert and strive for the highest level of client satisfaction in the delivery of services. On a day-to-day basis, you will: Manage client onboarding, ensuring clients are fully supported to implement VALD systems successfully. Build strong relationships with clients through online methods and occasionally face-to-face. Identify client support needs and opportunities for growth. Online client presentations using Microsoft Teams. Regular activity tracking and reporting, using SaaS applications – HubSpot, Microsoft Suite, Email. Manage multiple assignments and support requests simultaneously while working independently or with other team members. Critical requirements for this role: You must have used VALD Technology extensively in your current or previous role. Have the ability to understand and share the client’s perspective and challenges. Excellent grammar, spelling, and proofreading skills. Demonstrated ability to build positive relationships quickly. The ability to think outside of the box to find appropriate solutions. Adaptable and willing to learn new skills and processes. Become an expert on VALD systems. Have the ability to travel for work. Is this you? We are looking for a physiotherapist, exercise physiologist or sports scientist looking to make a change or, quite simply, a go-getter who is excellent with people—someone with a can-do attitude and who is interested in technology and helping clients implement systems and solutions. You will be a self-starter who is comfortable supporting and educating our amazing clients. You’ll need great organizational and communication skills, as you'll work with many internal and external stakeholders. Ideally, you have: Empathy Excellent communication skills – both verbal and written. Demonstrated ability to build positive relationships quickly. Attention to detail and a commitment to quality control. Strong critical thinking, analytical, and strategic problem-solving skills. Adaptable and willing to learn new skills and processes. Highly organized with practical time management skills. Prior experience using VALD systems. It’s not expected that any single candidate would check every box here. Research shows that while men and women share similarities in how they look for jobs, women may hold back if they don’t meet 100% of the criteria, while men usually apply after completing about 60%. If you meet just some of the requirements but not all, we encourage you to submit your application! We strongly encourage you to apply if you’re at all interested. Show us how your experience could improve our team and widen our perspective. Our selection process includes assessing the requirements of the role vs the individual and how well we think they will work in the VALD team. Why VALD? VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to over 10,000 clients in over 150 countries. If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies. Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 35 countries, with 5 offices across four continents. Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD's suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation. The opportunity to work in a company that is redefining allied healthcare. Learn from a range of high-performing individuals and teams across various disciplines. Be part of a down-to-earth, inclusive and vibrant team. Regular travel opportunities to get the entire VALD team together for your ongoing development. The latest equipment and remote setup to perform at your best. Diversity & Inclusion Commitment VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background, and sexual orientation. We welcome applications from people from all backgrounds. Successful applicants will be subject to background checks (including identity and criminal record checks). It will be a condition of employment that the background checks return acceptable results.

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. We are looking for a pragmatic Global Equity Tax Specialist to join our Tax team. This role is primarily responsible for global equity tax at Checkout.com http://Checkout.com. You will act as the designated equity tax specialist, supported by the Employment Tax Manager, and will provide practical technical advice while improving the processes, controls and data that support equity activity, payroll, reporting and employee communications. The role sits at the intersection of Tax, Equity, Finance, Payroll, People, Legal, Accounting, Data and external advisers. You will help establish clear ownership, translate technical tax requirements into workable processes, and support the resolution of historic and live compliance matters. This is an excellent opportunity for someone who enjoys balancing hands-on technical work with process improvement, remediation, stakeholder management and continuous improvement in a business that values pace, curiosity and better ways of working. KEY RESPONSIBILITIES GLOBAL EQUITY TAX - Act as the key equity tax specialist within the Tax team, providing practical and commercially focused advice on the employment tax treatment of equity arrangements and related events across their lifecycle. - Provide tax input into plan design, country implementation, employee events, cross-border situations, liquidity activity, system changes and other business initiatives. - Assess the tax treatment of equity activity across relevant jurisdictions, including sourcing, apportionment, withholding, payroll and reporting requirements. - Identify when matters can be handled internally and when specialist local advice is required. - Monitor legislative and business changes affecting equity taxation, withholding, reporting and cross-border treatment, translating them into clear actions for the business. PAYROLL, REPORTING AND COMPLIANCE - Work closely with Equity and Payroll to support accurate and timely withholding, payroll processing, payslip reporting, employee funding and downstream reporting. - Maintain or support the global equity tax compliance calendar, coordinating returns, notifications, reporting packs, approvals and supporting evidence. - Review the quality and completeness of equity tax data used for payroll, reporting, tax calculations and compliance submissions. - Identify, assess and remediate historic or live issues, including missing or late filings, incorrect withholding, incomplete reporting, data weaknesses and participant-level exceptions. - Support tax authority enquiries, audits, voluntary disclosures and other remediation activity, coordinating facts and evidence across teams and external advisers. OPERATING MODEL, PROCESSES AND CONTROLS - Build and continuously improve the global equity tax operating model, including ownership, hand-offs, escalation routes, service expectations and control requirements. - Create and maintain practical country guidance, process documentation, decision logs, filing trackers, data specifications, exception logs and evidence trails. - Help develop a scalable and audit-ready approach to managing equity tax across jurisdictions, while maintaining appropriate flexibility for local requirements. - Support the design and implementation of system or process changes that affect equity tax, payroll, reporting or employee communications. STAKEHOLDER AND ADVISER MANAGEMENT - Partner with Finance, Treasury, Payroll, People, Legal, Equity, Accounting, Strategic Finance, Data and other teams so that equity tax considerations are understood early and embedded into business decisions. - Manage relationships with external tax advisers and other providers where required, setting clear briefs, challenging advice and deliverables appropriately, and converting external support into practical internal processes and retained knowledge. - Develop and maintain employee-facing equity tax guides, FAQs and other explanatory materials, explaining tax mechanics clearly without presenting Checkout.com http://Checkout.com as providing personal tax advice. - Provide clear updates on risks, decisions, dependencies, remediation activity and recommended actions to the Employment Tax Manager and relevant stakeholders. WIDER EMPLOYMENT TAX CONTRIBUTION - Support the Employment Tax Manager with wider global employment tax advisory, compliance, risk management and process-improvement priorities where appropriate. - Contribute to a high-performing team culture by taking ownership, sharing knowledge, challenging existing approaches constructively and improving how we work. SKILLS & EXPERIENCE - Significant experience in global equity tax, gained in an advisory and/or in-house environment. - Strong technical knowledge of the employment tax treatment of equity arrangements across multiple jurisdictions, including cross-border employees, sourcing, apportionment, withholding, payroll and reporting. - Practical understanding of how equity tax interacts with payroll, employee data, finance processes and local compliance requirements. - Experience managing or supporting equity tax compliance across multiple jurisdictions, with sound judgement about when local advice is needed. - Experience identifying and remediating compliance gaps, including missing filings, historic withholding issues, late or inaccurate reporting, participant-level issues and weaknesses in data or controls. - Demonstrable experience building processes, controls, documentation, country guidance and operating models in an environment where responsibilities or ways of working are still developing. - Confidence working with data and financial systems, including the ability to interrogate and validate large datasets and use spreadsheets, equity administration platforms, Workday and other reporting tools effectively. - Experience working with external advisers, with the ability to brief, challenge and manage them effectively while retaining ownership of the technical position and business outcome. - Strong communication and stakeholder-management skills, with the ability to explain complex tax issues clearly and influence a wide range of partners. - A qualified accountant or tax adviser, or equivalent professional experience. - Private-company equity experience would be advantageous, particularly where the role has involved complex data, evolving processes, employee liquidity activity or significant change. - Experience in financial services, payments, fintech or another complex, multinational or regulated environment would be advantageous. - An interest in using approved technology and AI-enabled tools to improve quality, insight and efficiency. - Hands-on, curious and delivery-focused, with sound judgement and the ability to balance detail, pace and competing priorities. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Задачи: — Разработка AI агентов, которые выполняют рабочие процессы, а не только чат-интерфейсы. — Работа с агентами, которые подключаются к API и внутренним системам, используют инструменты, извлекают контекст, принимают решения на нескольких шагах и восстанавливаются при ошибках. Требования: — Опыт разработки на Python и бекенд инженерия. — Опыт работы с LLM API и агентными системами в продакшене. — Знание LangGraph, LangChain, LlamaIndex или аналогичных технологий. — Опыт работы с вызовом функций/инструментов и структурированными выводами. — Знание RAG, embeddings, векторного поиска и управления контекстом. — Опыт работы с состоянием агента, памятью, маршрутизацией, повторными попытками и логикой резервного копирования. — Интеграция с API и событийно-ориентированные рабочие процессы. — Оценка, трассировка и отладка LLM. — Опыт работы с Docker, Kubernetes, CI/CD и AWS. — Преимуществом является опыт с мультиагентной оркестрацией, MCP, human-in-the-loop рабочими процессами или мониторингом агентов в продакшене. Условия: — Удалённая работа. — Полная занятость или контракт. Это практическая инженерная роль с ответственностью за дизайн агента, реализацию, оценку, деплой и надёжность в продакшене.

Location: Lisbon Workplace: Hybrid ROLE HIGHLIGHTS: - Role: Forward Deployed Backend/DevOps Engineer - Location: Portugal (Lisbon) - Reports to: VP, Forward Deployed Engineering - Working type: Hybrid (On-site at customer locations approx. 50% of time) - Must be eligible and able to attain relevant national and NATO security clearances. - Must be based in-country and native level speaker of the country you're deploying to.   WHY THIS ROLE MATTERS In this role, you are the backend and infrastructure backbone defence and intelligence customers rely on. You deploy ICEYE's intelligence platform into secure (often air-gapped) environments and design the high-performance backend systems that move satellite data at scale — fast APIs, resilient services, tuned databases, automated infrastructure. Our stack: Python and Go services on Kubernetes, PostgreSQL and MongoDB, Terraform and Ansible, CI/CD pipelines that also run offline, cloud (AWS) and on-premises air-gapped clusters, with AI-assisted development as the default. This is a ship-daily role: systems you build run mission-critical workloads analysts use to protect nations. WHAT YOU'LL OWN Platform deployment & operations - Deploy ICEYE's intelligence platform into customer secure environments (on-premise, air-gapped networks, classified data centres). - Install, upgrade and operate Kubernetes clusters and containerised applications (Docker) in customer environments — cloud and on-premises. - Build infrastructure-as-code (Terraform, Ansible) and CI/CD pipelines that work without external internet access, including offline registries and artifact mirroring. - Troubleshoot deployment and production issues in disconnected environments, from the application layer down to storage and networking. High-performance backend systems - Design and build APIs, services and data pipelines that handle large volumes of SAR imagery and intelligence data with low latency. - Connect ICEYE systems to customer C4ISR infrastructure and intelligence tools through robust, well-designed integrations. - Own database design and performance at production scale (PostgreSQL, MongoDB): schemas, indexing, tuning, replication and backup. - Apply caching, queueing and horizontal scaling patterns deliberately — and capacity-plan for fixed on-premises hardware where you cannot simply scale out. Reliability, security & observability - Build monitoring, logging and alerting that work in restricted environments, so problems are found before the customer finds them. - Harden deployments to meet customer security constraints; own backup, recovery and upgrade paths for systems that cannot go down. - Run the infrastructure behind AI workloads shipped by the team — model serving, vector databases, GPU nodes — reliably and repeatably. Customer engagement & rapid delivery - Work embedded with intelligence analysts, operators and customer IT teams to understand operational and infrastructure requirements. - Rapidly prototype and iterate (working systems first, polish later) to address immediate operational needs. - Conduct hands-on training for customer administrators on platform operations. - Feed deployment experience back to ICEYE's product and engineering teams as concrete technical requirements. WHAT WE'RE LOOKING FOR Must-haves - 5+ years hands-on backend engineering building and operating production systems at scale. - Strong programming skills in Python. You write typed, tested services and you are comfortable with async APIs. TypeScript is a plus. - Proven experience designing high-performance backend systems: APIs, distributed services, messaging, caching and databases under real load. Experience with spatial, search, or vector workloads in Postgres is a plus. - Production experience in both cloud (e.g., AWS) and on-premises environments — this role lives in both. - Deep Docker and Kubernetes: deploy, debug, and upgrade clusters — not only consume them. GitOps and infrastructure-as-code experience. Pipelines that can run offline or on an isolated network are a plus. - Observability as a habit: metrics, logs, and alerts are part of done. - Infrastructure-as-code (Terraform, Ansible) and CI/CD experience, ideally including pipelines that run offline or in isolated networks. - PostgreSQL and/or MongoDB at production scale: schema design, tuning, replication, backup and recovery. - Observability as a habit: metrics, logging and alerting are part of done, not an afterthought. - Builder mindset: ship fast, iterate with feedback, and prioritise working solutions over perfect architecture. - Strong communication and customer engagement, able to work embedded with intelligence analysts / military operators. - Strong spoken and written English, able to explain technical concepts to non-technical stakeholders. - Willingness to travel 40–60% to customer sites within the region. Nice to have - Experience in defence, intelligence, or government operational environments. - Deploying to on-prem data centres and/or air-gapped networks, including offline artifact and registry management. - Event streaming and high-throughput data systems (e.g., Kafka or similar) at production scale. - Deeper Kubernetes: operators, service mesh, multi-cluster, storage and networking internals. - Security hardening and accreditation experience (system hardening baselines, audit and compliance in classified environments). - Familiarity with geospatial data, satellite imagery, or remote sensing. - Experience running infrastructure for AI/LLM workloads: GPU scheduling, model serving, vector databases. - Active use of AI-assisted development tools as part of your daily workflow. - Experience in defence tech (e.g., Palantir, Anduril, Scale AI, similar startups). 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 https://www.iceye.comiceye.com http://iceye.com

Location: Hungary; Armenia; North Macedonia Workplace: Remote ABOUT THE GEO TEAM GEO stands for Generative Engine Optimization. The GEO team builds products that help multi-location brands understand and improve how they are represented, cited, and recommended across AI-powered search and answer engines such as ChatGPT, Gemini, Perplexity, and Google AI Overviews. We are building backend capabilities that collect and analyse signals from rapidly evolving AI platforms, measure brand visibility, and turn complex data into actionable recommendations for our customers. ABOUT THE ROLE As Backend Engineering Lead for Uberall’s GEO team, you will combine hands-on technical leadership with responsibility for the growth and effectiveness of the engineering team. You will shape the architecture behind our AI-search products, lead the delivery of new capabilities, and help the team navigate a fast-moving and technically ambiguous domain. Working closely with Product, Engineering, and other stakeholders, you will translate customer needs and emerging developments in generative AI into reliable, scalable, and maintainable backend solutions. Historically, our backend has been built on Groovy and Kotlin. Today we work AI-first, and much of our engineering work runs through AI-assisted development. As a result, we place far less weight on a specific stack than we used to. What matters is that you know your way around backend engineering and can apply sound judgment, whatever the language. YOUR RESPONSIBILITIES - Lead, develop, and grow the GEO engineering team, starting with two engineers and scaling as the product grows. - Define how the team builds, reviews, evaluates, and ships, including how it uses AI-assisted development day to day. - Guide the design and operation of backend systems that integrate with LLMs and AI-powered search platforms. - Establish robust approaches for evaluating the quality and consistency of AI-generated results. - Ensure that LLM-enabled capabilities are observable, testable, cost-efficient, and resilient to changing models and external providers. - Help the team manage the particular challenges of generative AI systems, including non-deterministic behaviour, latency, rate limits, data quality, and graceful degradation. - Stay informed about relevant developments in LLMs and AI search, assessing them pragmatically rather than adopting technology for its own sake. YOUR PROFILE - Experience leading or mentoring engineers, whether as a tech lead or engineering manager, including hiring and developing team members. - Solid backend engineering experience with at least one object-oriented language (for example, Java, Kotlin, Groovy, C#, or Python). Prior experience with Groovy or Kotlin is helpful but not required. - Comfort working AI-first, using AI-assisted development as a core part of how you and your team build and ship. - Hands-on experience building or operating production systems that use LLMs, generative AI, or AI-powered external services. - An understanding of how to evaluate and monitor LLM-enabled features beyond traditional deterministic testing. - Experience designing reliable integrations with third-party APIs and managing concerns such as cost, latency, rate limits, observability, and provider failure. - The ability to distinguish between an effective AI use case and one better solved with conventional software. - Experience with prompt management, retrieval-augmented generation, embeddings, vector search, or LLM evaluation frameworks is beneficial but not essential. - No experience training foundation models is required; this is primarily a backend engineering and technical leadership role. No experience training foundation models is required; this is a backend engineering and engineering leadership role.

Location: Canada Workplace: remote About Xsolla 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. About the Role We're looking for a Staff Engineer to own the smart wallet and account abstraction layer of Xsolla's Web3 platform. This is an individual contributor role with outsized technical scope: you'll be the technical anchor for how millions of players get an on-chain account they never have to think about — setting direction, making hard architectural calls, and raising the bar across the org. Concretely, you'll own the account model behind Xsolla ZK, our zkSync-based L2, and the wallet that sits inside Xsolla App. Every player who signs in with Xsolla ID receives a deterministic, non-custodial smart account — derived from their identity claim, identical on every device, with private keys that never leave the client. That account is not a separate "wallet" screen: it is the player's inventory, and it backs minting, gifting, trading on our Bazaar marketplace, Merkle-based reward airdrops, gas sponsorship, and an in-app dApp browser that exposes the same signer to third-party applications through an EIP-1193 provider. You'll own the primitives underneath all of it: the ERC-4337 user operation lifecycle, EIP-7702 delegation, session keys and origin-bound Smart Sessions, paymaster and gas abstraction strategy, and the custody and recovery roadmap — including the move from raw key export to MPC custody. You will own the strategy behind account abstraction, signing, and session management at scale, and evolve our smart account and permissioning model to meet both product and compliance needs. You operate with significant autonomy, but your decisions ripple across teams — so you'll spend real time building buy-in with engineering, product, security, and legal stakeholders, not just designing in isolation. You are technically deep, calm under pressure, and comfortable being the escalation point when production wallet issues get hard — because in this domain, "hard" means a stuck user operation, a drained paymaster, or a signing prompt a player didn't understand. You write the RFCs and design docs that people actually read, and you create leverage for the broader engineering org through documentation, tooling, and mentorship — without needing a management title to do it. Responsibilities Own Smart Wallet & AA Architecture — Own the technical strategy and architecture of our smart wallet platform, covering the account model, signing, session management, and gas abstraction at scale. Design the Account & Signing Model — Design and evolve our ERC-4337 user operation lifecycle (prepare → sign → submit → confirm), EIP-7702 delegation, deterministic address derivation from identity, and the session-key and permission primitives that let players act without a prompt on every transaction. Own Gas Abstraction — Set the paymaster and gas-sponsorship strategy: what we sponsor, how we meter and cap it, how we defend it from abuse, and how it degrades when sponsorship is unavailable. Harden the dApp-Facing Surface — Own the security model where our signer meets third-party applications: EIP-1193 / EIP-6963 provider behavior, origin-bound and policy-versioned sessions, trust tiers, and the transaction and signature confirmation flow. Define what a player is actually approving, and make sure the UI can prove it. Drive Custody & Recovery — Lead the custody roadmap from today's interim mechanisms toward MPC-based custody, and design recovery paths (passkeys, guardians, social recovery) that a non-crypto-native player can complete without losing assets. Drive Cross-Team Technical Decisions — Drive decisions on account architecture, SDK contracts, data modeling, and platform reliability, and build buy-in across the wallet, marketplace, SDK, mobile, and security teams. De-Risk Proactively — Identify systemic risks — key management, signature phishing, reorgs and indexer staleness, bundler and RPC dependencies, contract upgrade paths — and lead initiatives to resolve them before they become incidents. Set Engineering Standards — Define engineering standards, review critical code, contracts, and designs, and create leverage for the team through documentation, tooling, and mentorship. Align with Stakeholders — Collaborate with product, security, legal, and infra teams to align on roadmap and translate business and regulatory needs into well-scoped technical plans. Own Production Escalations — Serve as the go-to escalation point for complex production issues in the wallet and account abstraction domain. What You Bring Account Abstraction & Smart Wallets ERC-4337 Depth — Deep, hands-on understanding of ERC-4337: EntryPoint (v0.6 through v0.8), the UserOperation lifecycle, bundler and paymaster roles, validation rules (ERC-7562), gas estimation and its failure modes, counterfactual deployment, and signature validation for undeployed accounts (ERC-6492). EIP-7702 & the Post-Pectra Landscape — Working knowledge of EOA delegation, its interaction with ERC-4337 EntryPoint v0.8, and the trade-offs and risks it introduces (residual key authority, delegation phishing, storage collisions). Smart Account Implementations — Experience building on or extending production smart account implementations (Safe, Kernel, Biconomy, Coinbase Smart Wallet, or equivalent), and familiarity with modular account standards (ERC-7579 / ERC-6900). Session Keys & Delegated Permissions — Experience designing scoped, time-limited, policy-bound authority: session keys with TTL and contract allowlists, origin binding, permission revocation, and delegated-permission standards (ERC-7710 / ERC-7715). Signature Schemes & Wallet Interfaces — Practical command of EIP-712 typed data, ERC-1271 contract signatures, WebAuthn / passkey (P-256) signers, and the wallet-facing standards: EIP-1193, EIP-6963, EIP-5792 batched calls, ERC-7677 paymaster interfaces. Production Wallet Experience — Experience designing or operating a production smart wallet or account abstraction system serving real users and real value. Production Crypto Track Record Scale in a Major Crypto Organization — Substantial engineering experience at a large crypto product or protocol organization — for example Coinbase, Kraken, Base, Safe, the Ethereum Foundation, Consensys / MetaMask — or a comparable wallet, exchange, or account-abstraction infrastructure team where wallet correctness and custody were core to the product. Operational Judgment Under Value at Risk — You have shipped and operated systems where a bug meant lost funds, and you can talk concretely about the guardrails, reviews, and rollback paths you put in place. Smart Contracts & EVM Solidity & EVM Fluency — Ability to read, review, and write account, paymaster, and module contracts; gas-aware design; upgradeability and migration patterns; working effectively with external auditors. L2 Specifics — Understanding of L2 execution differences and how they affect wallet design: native account abstraction on zkSync-family chains, transaction and fee models, finality and reorg behavior, and RPC and indexer semantics. Backend Engineering Go Engineering — Strong Go (Golang) engineering skills: idiomatic code, concurrency patterns, performance profiling. TypeScript & SDK Design — Ability to design and own client-side SDK surfaces in TypeScript that other engineering teams — internal and external — build on top of. Distributed Systems — Experience with distributed systems and their trade-offs (consistency, availability, failure modes), and with reconciling off-chain state against an authoritative on-chain result. Data & Infrastructure PostgreSQL — Schema design, query optimization, migrations at scale. Kubernetes — Deploying, operating, and debugging services in a k8s environment. Message Streaming — Kafka or NATS — event-driven patterns, consumer groups, at-least-once delivery. Git & CI/CD — Git and modern CI/CD practices. Security Key Management — Hands-on experience with key material in production: platform secure storage (Keychain / Keystore), HSMs, MPC or threshold signing, and the operational discipline around each. Wallet Threat Modeling — Solid grasp of the wallet attack surface: signature and delegation phishing, malicious dApp origins, replay and cross-chain replay, token approval abuse, and paymaster griefing and DoS. Leadership Cross-Team Initiative Leadership — Proven ability to lead multi-quarter technical initiatives across teams. Architectural Influence — Track record of influencing architecture and standards beyond your immediate team. Written & Verbal Communication — You write RFCs and design docs that people actually read. Nice to Have Experience working in the video game industry, building or operating platforms for game developers, publishers, or players Hands-on experience with the zkSync / Elastic Chain ecosystem (ZKsync OS, Matter Labs stack, native AA and paymaster flows, custom L2 operations) Experience with embedded and ecosystem wallet providers or AA infrastructure vendors (thirdweb, Privy, Dynamic, Turnkey, Pimlico, Alchemy, Biconomy, ZeroDev, Safe{Core}) — and clear views on where to build versus buy Experience with MPC / threshold custody, social recovery, or guardian-based recovery in a consumer product Experience with NFT and token infrastructure at scale: ERC-721 / ERC-1155 / ERC-20 mechanics, marketplace contracts, Merkle-based airdrop and claim distribution, chain indexing services Contributions to open-source wallet, security, or identity projects — including authorship or review of ERC / EIP standards Familiarity with compliance requirements relevant to crypto consumer products: KYC / AML, geofencing, MiCA, SOC 2, ISO 27001, GDPR data minimization, audit logging Experience with identity and auth integration for wallet derivation (OAuth 2.0 / OIDC, JWT verification, token scoping) Background in platform or infrastructure engineering — building systems other engineers build on top of Experience owning a mobile wallet surface (React Native / Expo, WebView provider injection, native signing UI) Hands-on, up-to-date experience with modern AI tools (e.g. Claude, Copilot, Cursor) for code generation, review, and accelerating day-to-day engineering work How We Work Xsolla operates across multiple time zones, and the smart wallet underpins identity, ownership, and value transfer for every Web3 product we ship. Strong written communication is essential — your architectural decisions and designs need to stand on their own and be actionable without you in the room. We value directness, technical depth, and follow-through. In this domain that means saying plainly when a design has custody, security, or reversibility implications, defending your position with evidence, and staying engaged until it's resolved. Where a decision touches player funds or key material, we expect the conservative call to be argued for explicitly rather than assumed. Benefits We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.

Location: United Kingdom, London 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. About GDFT Gaming, Developer, and Future Technology (GDFT) are the technology specialists at PlayStation. We build the underlying systems that power core platform capabilities and developer tools. Our mission is to enable world-class gaming experiences by delivering low-level, high-performance technology for PlayStation platforms. The Role We are looking for an engineer to join the GDFT department, working on the design and optimisation of PlayStation’s real-time game streaming technologies. You will contribute to the development of low-latency video streaming systems across current and future PlayStation platforms, working on performance-critical areas spanning frame capture, media pipelines, codec configuration, system services and streaming transport. The role is particularly suited to engineers with a strong C/C++ background and experience working with native video or media systems, including embedded devices, TV firmware, set-top boxes, consoles, or similar. Our work sits at the intersection of product engineering and R&D. Alongside delivering production technology, engineers are encouraged to investigate new approaches to reducing end-to-end latency, improving visual quality and reducing bitrate, using measurement and experimentation to determine where meaningful improvements can be made. What You'll Be Doing Develop, optimise and maintain low-level C and C++ components within PlayStation’s game streaming stack. Investigate opportunities to reduce end-to-end streaming latency across frame capture, buffering, encoding, transport, decoding and presentation. Optimise the use and configuration of hardware video encoders, applying knowledge of codec behaviour and low-latency encoding techniques. Analyse existing media pipelines to identify unnecessary buffering, memory copies, synchronisation delays and other sources of latency. Use software and hardware instrumentation to measure system behaviour, validate hypotheses and quantify the impact of performance changes. Investigate and debug issues across user-space applications, system services and daemon-level components. Prototype and evaluate new approaches to improving streaming quality, latency and bandwidth efficiency. Work with engineers and researchers across the wider organisation on areas such as codec development, rate control, Forward Error Correction and emerging media technologies. Contribute technical findings and recommendations to design discussions, working with senior engineers to determine appropriate production solutions. Collaborate across teams to integrate and validate streaming technologies within PlayStation platform software. Attend periodic in-person workshops or team events, with travel possible a few times per year. What We Are Looking For This is a mid-level opportunity. You should bring some of the following skills and experience: Strong proficiency in C and C++. Experience developing native, performance-sensitive software rather than primarily web or managed application stacks. Experience working with real-time video, media pipelines, codecs or embedded multimedia systems. Practical understanding of video compression and media formats, including concepts such as chroma subsampling, bit depth and colour representation, with familiarity of codecs such as AVC, HEVC or AV1. Understanding of concepts relevant to low-latency video encoding, which may include GOP structures, reference frames, rate control, VBV, quantisation parameters, slices, tiles or hardware codec APIs. Strong debugging, profiling and performance-analysis skills. An ability to investigate complex technical problems, identify likely causes and use evidence and instrumentation to support conclusions. Comfortable working in unfamiliar parts of a large system and developing an understanding of how multiple components interact. An experimental mindset, with an interest in prototyping, measuring and evaluating alternative technical approaches. Ability to contribute to technical discussions and work with senior engineers when deciding how findings should be taken forward. Highly Desirable Skills: Experience in one or more of the following areas would be advantageous; we do not expect candidates to have experience across all of them: Familiarity with techniques for evaluating video codec performance, including bitrate/quality/latency trade-offs and objective or perceptual video quality metrics (such as PSNR and VMAF). Familiarity with compressed video bitstreams and codec signalling, such as NAL units/OBUs, parameter sets, profiles/levels and supplemental enhancement information. Experience developing native video players, media frameworks or codec pipelines on TVs, set-top boxes, consoles, mobile devices or other embedded platforms. Experience configuring or integrating hardware video encoders or decoders. Deeper knowledge of H.264, HEVC, AV1 or other current and emerging video codecs, beyond high-level API configuration, such as reference structures, rate-control behaviour, bitstream structure or encoder-specific optimisation. Experience optimising real-time video for low latency, visual quality or bitrate efficiency. Familiarity with frame capture, graphics presentation pipelines, framebuffers or GPU/CPU synchronisation. Experience identifying and reducing memory copies, queueing delays, memory-bandwidth limitations or other system-level performance bottlenecks. Experience working with system services, daemons, firmware interfaces or other low-level platform components. Familiarity with techniques such as content-aware encoding, region-of-interest encoding, adaptive resolution or frame rate, alternative reference-frame strategies or similar streaming optimisations. Experience with Forward Error Correction or other techniques for improving the resilience of real-time media. Experience with SIMD, vectorisation, cache optimisation or multithreaded performance tuning with instrumentation. Experience with console or embedded systems development environments. Experience with Git, Jenkins or similar CI/CD workflows. Why Work in GDFT Focused on platform-wide technology development Room to explore and innovate within performance-critical system areas Work on cross-regional collaborative projects Flexible and relaxed working environment, with strong support for hybrid work Opportunities for extensive professional development, technical conference attendance, and participation in internal hackathons 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: Costa Mesa, United States 📍 Location: Costa Mesa, California, USA 📄 Employment Type: Full-Time 🏢 Work Arrangement: On-site/Remote 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be a U.S. Citizen or U.S. Permanent Resident (Green Card holder) . Must be eligible to obtain and maintain an active U.S. Department of Defense (DoD) Secret Security Clearance . Candidates should have a strong interest in supporting advanced defense and national security programs. About the Role We are seeking an experienced Senior Electrical Engineer, EMI/EMC Design to lead EMI/EMC design, analysis, testing, and mitigation activities for advanced electrical and electronic systems. In this role, you will work across the product development lifecycle to identify and resolve electromagnetic compatibility challenges, support PCB and system-level design, and ensure compliance with applicable military and industry standards. Key Responsibilities Lead EMI/EMC design, analysis, testing, and mitigation activities for complex electrical systems. Perform Electromagnetic Environmental Effects (E3) analysis and develop mitigation strategies. Support specialized E3 areas including HERO, HEMP, lightning protection, ESD, RF exposure limits, and operational electromagnetic compatibility . Plan and execute EMI/EMC testing using laboratory equipment such as spectrum analyzers, oscilloscopes, antennas, and LISNs. Use simulation tools to analyze and troubleshoot EMI/EMC issues. Review PCB layouts and electrical designs to ensure mechanical, electrical, EMI/EMC, and manufacturing requirements are met. Read and interpret schematics and recommend appropriate design practices, grounding, filtering, and protection techniques. Collaborate with electrical, mechanical, software, firmware, and systems engineering teams to resolve EMI/EMC issues. Prepare technical reports, test documentation, and engineering recommendations. Manage multiple engineering activities while meeting technical and schedule objectives. Required Qualifications Bachelor's degree in Electrical Engineering, Electronics Engineering , or a related field. 7+ years of experience in EMI/EMC design and testing . Familiarity with EMC/EMI standards and regulations, including: MIL-STD-461G MIL-STD-464D RTCA DO-160 FCC IEC CISPR SAE Proven expertise in E3 design, analysis, testing, and mitigation . Experience with HERO, HEMP, lightning protection, ESD, RF exposure limits , and operational electromagnetic compatibility. Hands-on experience with EMI/EMC test equipment, including: Spectrum analyzers Oscilloscopes Antennas LISNs Experience using simulation tools such as ANSYS and CST Microwave Studio for EMI/EMC analysis. Strong understanding of PCB layout techniques , including multilayer design, grounding, filtering, and EMI/EMC considerations. Ability to read and interpret electrical schematics. Familiarity with interfaces such as MIPI, DisplayPort, I2C, SPI, PCIe, and USB . Strong analytical, troubleshooting, communication, and organizational skills. Preferred Qualifications Experience supporting aerospace, defense, or other high-reliability electronic systems . Experience leading EMI/EMC compliance activities from design through testing and qualification. Experience with complex embedded electronic systems and mixed-signal PCB designs. Strong understanding of electromagnetic compatibility considerations across system, PCB, and component levels. Active U.S. DoD Secret Security Clearance .

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock human performance. As a member of the Mechanical Engineering NPI team, you’ll help shape the future of wearable technology by developing innovative, high-performance products that integrate seamlessly into users’ lives. WHOOP operates with urgency because our mission demands it. We build products for people who push their limits—and we hold ourselves to the same standard. We expect engineers to go deep technically, collaborate relentlessly, and take pride in execution. The pace is fast, expectations are high, and the work is deeply meaningful. This isn’t a role where you follow a blueprint. If you’re energized by complex challenges, cross-functional collaboration, and the opportunity to ship hardware at scale, this role will push you—and reward you. WHOOP is looking for a Staff Mechanical Engineer to lead critical design, validation, and development execution for next generation biometric wearable products. You are a proactive, highly organized engineer with strong problem-solving skills and a sharp eye for detail. You thrive in a fast-paced, execution-driven setting and can drive creative mechanical design solutions with independence and sound technical judgement. You will mentor junior mechanical engineers and collaborate with cross-functional stakeholders (Electrical Engineering, Embedded Engineering, Manufacturing, Product, and Program Management). You will work closely with our suppliers and contract manufacturers around the world to execute engineering validation builds with a focus on high quality deliverables, sharp engineering risk management, clear technical communication upwards and externally, and commitment to product excellence. WHOOP operates with urgency because our mission demands it. We build products for people who push their limits—and we hold ourselves to the same standard. If you’re energized by complex challenges, cross-functional collaboration, and the opportunity to ship hardware at scale, this role will push you—and reward you. RESPONSIBILITIES: - Complete technical ownership (at system level) of a next generation product from design concept to manufacturing release, ensuring performance, reliability, cost, and schedule targets are met. - Lead mechanical design, analysis and development of mechanical components around micro-electronics, exact industrial design specifications, product requirements, and manufacturing constraints. - Create parametric multi-body SolidWorks CAD models to bring up design concepts that enable simulation exercises, prototyping, and mass production qualification - Generate technical documentation such as 3D files, 2D drawings, bills of material (BOM’s), and Engineering Change Orders (ECO’s) following product development cycle timeline - Communicate and collaborate effectively across functional teams and external suppliers to align requirements, drive decisions, and resolve issues quickly - Drive organized, end-to-end DFM coordination across multiple vendors and manufacturing methods, aligning requirements, timelines, and technical decisions to deliver scalable, high-yield production. - Design testing protocols and validation plans, manage testing processes to ensure comprehensive verification and validation (V&V) of mechanical designs. - Perform thorough engineering root cause analyses to identify and resolve issues - Mentor younger engineers by example through excellence in engineering best practices - Willingness to travel internationally up to 20% of the time QUALIFICATIONS: - BS or MS in Mechanical Engineering or a related field - 10+ years of experience in the design, documentation and validation of complex mechanical parts for medium to high volume consumer electronics - 5+ years SolidWorks (or equivalent) CAD experience with best practices for part design/ feature architecture, surface modeling, advanced assemblies, complex configuration management and integrating DFx feedback efficiently - 5+ years working with Tier 1 and 2 contract manufacturers in Asia and North America - Extensive experience in mechanical design concepts and the manufacture of products utilizing high volume, automated manufacturing processes as well as manual assembly - Played a key role in the launch of 3+ products, thorough understanding of full product development process, experience guiding suppliers, product lifecycle management - Well-versed in design, prototyping, and evaluation of advanced injection molded plastic components, die castings, metal injection molding, packaging, and material selection - Knowledge of Six Sigma statistical methods and how to apply them effectively to make design decisions. Ability to utilize statistical methods such as RSS tolerance stack up analysis and CPK process capability. - Strong organization and communication skills and the ability to work well within teams in a fast-paced environment - Ability to effectively communicate technical concepts and proposals to leadership upwards (internally), and externally to suppliers and contract manufacturers. - Highly organized and methodical; able to create structure, plans, and risk mitigation for open-ended problems and drive them to closure. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $175,000-$215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Задачи: — Разработка AI агентов, которые выполняют рабочие процессы, а не только чат-интерфейсы. — Работа с агентами, которые подключаются к API и внутренним системам, используют инструменты, извлекают контекст, принимают решения на нескольких шагах и восстанавливаются при ошибках. Требования: — Опыт разработки на Python и бекенд инженерия. — Опыт работы с LLM API и агентными системами в продакшене. — Знание LangGraph, LangChain, LlamaIndex или аналогичных технологий. — Опыт работы с вызовом функций/инструментов и структурированными выводами. — Знание RAG, embeddings, векторного поиска и управления контекстом. — Опыт работы с состоянием агента, памятью, маршрутизацией, повторными попытками и логикой резервного копирования. — Интеграция с API и событийно-ориентированные рабочие процессы. — Оценка, трассировка и отладка LLM. — Опыт работы с Docker, Kubernetes, CI/CD и AWS. — Преимуществом является опыт с мультиагентной оркестрацией, MCP, human-in-the-loop рабочими процессами или мониторингом агентов в продакшене. Условия: — Удалённая работа. — Полная занятость или контракт. Это практическая инженерная роль с ответственностью за дизайн агента, реализацию, оценку, деплой и надёжность в продакшене.

Задачи: — Разработка и внедрение AI/ML решений с использованием LLM, Python и связанных технологий — Работа с production-grade LLM, RAG, NLP, embeddings и векторными базами данных — Парсинг документов, извлечение информации и обработка больших объемов текста — Использование LangChain, LangGraph, CrewAI, Claude Code — Работа с облачными сервисами AWS SageMaker, Bedrock, EC2, Lambda, Azure AI, OpenAI — Использование MLflow, W&B, CI/CD, Docker, Kubernetes для управления ML-процессами — Оценка AI моделей, улучшение и обеспечение наблюдаемости — Руководство командой, наставничество и коммуникация Требования: — Опыт работы в AI/ML инженерии от 3 лет — Знание Python, SQL, NumPy, Pandas, Scikit-learn, PyTorch или TensorFlow — Опыт работы с LLM, NLP, embeddings, векторными базами данных — Знание LangChain, LangGraph, CrewAI, Claude Code — Опыт работы с AWS и Azure AI сервисами — Навыки работы с MLflow, W&B, CI/CD, Docker, Kubernetes — Высшее образование в технической области Условия: — Работа в офисе, 5-дневная рабочая неделя — Локации: Hyderabad, Ahmedabad, Indore — Максимальный срок уведомления о выходе на работу: 15 дней — Процесс интервью: 3 технических/менеджерских раунда + обсуждение CTC Для отклика необходимо предоставить: — Имя кандидата, обновленное резюме, общий опыт, релевантный опыт AI/ML — Количество реализованных production AI/ML систем — Текущая компания и должность, текущее и ожидаемое вознаграждение — Местоположение и предпочтительное место работы — Наличие офферов, причина смены работы, готовность к немедленному выходу — Контактный номер, профиль LinkedIn, релевантные навыки AI/ML и LLM

Location: San Francisco, CA, USA About the Role As a Tech Lead Manager on Chime's Data Intelligence Platform, leading the Data Integration Platform team, you will own the group that builds and operates the platform and infrastructure for the ingress and egress of first-party and third-party data into and out of Chime's ecosystem. Your team will be responsible for building and operating reliable, scalable, and secure integration pipelines and connectors that move data between Chime's internal systems and external partners, vendors, and data providers, powering analytics, experimentation, and AI-driven product experiences across Chime. You'll partner closely with other Data Intelligence Platform squads as well as Product Engineering, Security, and Analytics teams to define integration patterns, data contracts, and SLAs that govern how data enters and leaves Chime, supporting both high-scale batch workloads and latency-sensitive real-time flows. Your leadership will directly impact how Chime ingests, exchanges, and delivers data - enabling trusted, self-serve, AI-ready data for Chimers across the company. Chime’s data integration platform is entering its next phase. As our data ecosystem grows, we have a significant opportunity to simplify and standardize how data moves across streaming, batch, and third-party integrations. You will lead the evolution toward a unified, secure, and reliable data conveyance platform while helping advance Chime’s lakehouse architecture. This is a manager-first, hands-on player-coach role. Your primary responsibility is leading and developing the team - setting direction and priorities, coaching engineers, and owning delivery and operational health. You will also remain technically engaged through high-leverage problems: shaping architecture, guiding designs, reviewing critical changes, and writing production code where it unlocks the team’s progress. In this role, you can expect to Own the strategy and roadmap for Chime's Data Integration Platform, including ingestion pipelines, connectors, and the infrastructure that moves first-party and third-party data into and out of Chime's ecosystem. Stay hands-on through architecture, design and code reviews, and targeted production contributions focused on the highest-leverage platform problems, while coaching engineers and owning team execution. Design and evolve scalable, high-performance integration architecture that balances reliability, cost, and ease of use for both analytical and in-product data flows. Build and operate reliable connectors and pipelines for diverse sources and sinks across APIs, event streams, file transfers, and change-data-capture. Ensure performant and secure data movement by defining ingress/egress patterns, throughput and latency targets, schema evolution, and error handling / replay for key data flows. Collaborate across the Data Intelligence Platform and partner teams to define clear data contracts, schemas, and SLAs between producers, the integration layer, and consumers including external partners. Build tooling and automation for governance and compliance across sources and sinks (e.g., RBAC, PII protection, tokenization, lineage, and auditability), with particular attention to data leaving Chime's boundary, in partnership with Security, Risk, and Compliance. Manage and grow a team of engineers, setting clear expectations, providing coaching and feedback, and raising the bar on engineering quality and operational excellence. Establish strong operational practices, including on-call, incident management, postmortems, and SLOs for the integration pipelines and connectors your team owns. Stay ahead of industry trends in data integration, streaming, and ingestion/egress tooling, and thoughtfully introduce technologies that improve our platform's capabilities. To thrive in this role, you Have 8+ years of experience in high-scale, high-reliability software development, with a focus on platforms, infrastructure, and data integration or data movement systems. Have 3+ years of experience managing engineering teams, including hiring, performance management, and developing engineers. Bring hands-on coding ability and a genuine desire to remain technical while leading a team. You are comfortable writing and reviewing production code, particularly where it resolves ambiguity or unlocks the team’s progress Have a track record of scaling products, platforms, and operations to support rapid growth in data volume, complexity, and criticality. Bring deep experience with data integration and movement components, such as ingestion and CDC pipelines, connector frameworks, event streaming, and API- and file-based (e.g., SFTP) data exchange alongside the data lakes/lakehouses (e.g., Iceberg) and warehouses (e.g., Snowflake) they feed and drain. Have proven expertise in system and data architecture for scalable, secure, and cost-efficient data platforms, including schema design, data contracts, and schema-evolution strategies across system boundaries. Are comfortable working with modern data and infrastructure technologies, such as Kafka, Flink, Spark, Airflow, Kubernetes, and connector/ingestion tooling (e.g., Debezium, Fivetran/Airbyte-style frameworks). Are hands-on proficient in Python (preferred) or a comparable language (e.g., Java, Scala), able to write, review, and ship production-quality code, and are fluent in SQL and performance tuning for analytical workloads. Have extensive experience in cloud-based data ecosystems, such as AWS (S3, DynamoDB, Redshift, Snowflake, EMR), GCP (BigQuery, Dataflow), or Azure equivalents. Understand data governance, security, and compliance best practices (e.g., RBAC, PII handling, auditability) especially for third-party data sharing and data crossing Chime's trust boundary and have helped design systems that meet regulatory and internal standards. Are deeply interested in the transformative potential of advanced AI systems and how to build AI-ready data foundations (metadata, lineage, semantic layers, and reliable data pipelines that feed them). Excel at building strong relationships with stakeholders across engineering, product, analytics, security, and finance, as well as external partners and vendors, and can translate between technical and business contexts. Demonstrate strong people leadership, with a track record of building a culture of belonging and engineering excellence. #LI-DA1 #LI-Onsite Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $199,000 — $275,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Location: Remote Workplace: Remote Hi, we’re Gravie. Our mission is to create health benefits that actually benefit small and midsize businesses and their employees. Our innovative benefit solutions and services are developed and delivered by a diverse group of unique people. We encourage you to be your authentic self - we like you that way. ROLE SUMMARY Gravie is seeking a hands-on Staff Platform Engineer to do three things at once: build the golden roads and paved paths our engineering teams build on, define the north star architecture the organization moves toward, and design and deliver our AI-enabled capabilities. This is the hub role for technical direction at Gravie: long-term architectural direction and the standards that carry it converge here and radiate outward across teams. The ideal candidate combines deep distributed systems and AWS experience with real production generative AI experience, and is equally credible building a paved path teams voluntarily adopt and setting a target-state architecture the whole organization will inherit. They have established standards, reference implementations, and paved roads that engineers actually use, not just architecture documents. They will partner across Engineering, Product, Data, Security, and Infrastructure, and will work most closely with our Platform Engineering team, which is the primary vehicle for making change stick across the organization. At Gravie, engineers work closely with Product and own outcomes end to end, and we practice agentic development to increase the scope and leverage of that ownership: engineers use AI agents to help develop specs and plans, then to execute substantial multi-step engineering work, while setting guardrails and acceptance criteria and owning the quality of everything that ships. As agents take on more of the execution, the bar on problem framing, architectural judgment, system thinking, and risk identification gets higher, not lower. This is a deliberately split role: roughly 40% golden roads and paved paths (hands-on, reference implementations, shared libraries, service templates, scaffolding, pipelines - a path isn't paved until a team other than yours has shipped on it), 30% north star architecture (published decisions that get adopted and enforced by tooling, not just written down), and 30% AI solutions (agent systems, retrieval and context design, evaluation, and guardrails). The mix shifts by quarter. Being the hub does not mean being the bottleneck - a good year looks like teams making more decisions on their own because direction and the paved path are clear enough to follow without asking. The role is planned and reviewed on this split, not funded out of leftover capacity; part of the job is saying out loud when the split is breaking toward a support desk. KEY RESPONSIBILITIES - Build the paved paths teams build on, including reference implementations, shared libraries, service templates, scaffolding, and pipeline templates, so the recommended way is also the easiest way. - Treat the paved road as a product with real users: measure adoption and time to first success, and fix the parts people route around. - Do the first real implementation yourself, on a real workload with a real team, not in a demo repository. - Build the distributed systems patterns the paths encode: backend services, event-driven workers, job pipelines, APIs, and relational data models. - Partner with the Platform Engineering team as the primary delivery vehicle - build paved paths with them, plan into their roadmap, and hand off sustaining ownership of what becomes shared infrastructure. - Own migration and adoption, including moving existing services onto the path and retiring what it replaces. - Stay in code review across teams and close to production incidents as primary evidence of where the path is failing. - Define and publish the target-state architecture, with clear owners and decision dates, and keep it current as the business changes. - Own the AWS foundations product and AI workloads depend on: multi-account structure and identity boundaries, network and data isolation, compute and serverless runtimes, managed data services, and tagging and cost governance. - Drive standards adoption to completion - from documents into pipelines, with adoption measured across repositories and teams. - Lead buy, build, and reuse decisions, evaluating models, frameworks, and vendors on accuracy, latency, reliability, privacy, security, and cost evidence. - Reduce surface area as deliberately as you add it - consolidate overlapping tools and standards and own the sunset path for what gets replaced. - Design and build production-grade AI agent systems, including multi-agent workflows, orchestration layers, and supporting services. - Design retrieval, context, and memory systems that ground AI outputs, including how sensitive data is scoped, redacted, and audited. - Develop AI-powered decision-support systems meeting the accuracy, traceability, and explainability requirements of healthcare and other regulated environments. - Build product-quality user experiences using React and TypeScript where AI capability has to become understandable and actionable. - Establish patterns for AI quality assurance - automated evaluations, regression testing, groundedness checks, and compliance guardrails - so those requirements are met by default. - Establish one standard way to build, run, evaluate, and operate AI systems. - Act as the connective point across teams: surface duplicated effort, pick up decisions with no owner, and align teams heading toward the same problem. - Drive cross-team communication - writing, demos, and working sessions - so direction and tradeoffs are understood by teams not in the room. - Build alignment where incentives differ across teams, and surface disagreement rather than resolving it quietly. - Contribute to roadmap and capacity planning so paved path, foundational, and AI work is sequenced alongside product commitments. - Work through the Platform Engineering team to effect change at organization scale rather than standing up competing surfaces. - Facilitate collaboration between engineering teams, Product, Data, Security, and Infrastructure, including running forums where cross-cutting work gets planned and unblocked. - Represent technical direction to leadership and carry business context back to engineering. - Partner with Product to shape the roadmap and translate ambiguous business problems into architecture. - Raise the engineering bar through design review, mentorship, and a working decision-record practice, and make architectural context available to both engineers and agents. - Partner with Security, Compliance, and Data on AI governance, access control, and data handling, designed in rather than retrofitted. QUALIFICATIONS - Eight or more years of software engineering experience, including time with architecture scope and an organization-wide remit, and ownership of complex systems from design through production. - Still shipping: writes and reviews code today, can open a meaningful merge request in an unfamiliar codebase within the first weeks. - Experience building internal platform capability that other teams voluntarily adopted - can name the paved path or golden road built, how many teams moved onto it, and what they routed around. - Hands-on experience building and operating production AI applications, not only prototypes, including evaluation, monitoring, failure handling, guardrails, latency, and cost control. - Deep AWS expertise across a multi-account organization: identity and permission boundaries, networking, compute and serverless runtimes, managed data services, managed model services, and cost and tagging governance. Infrastructure as code in Terraform, CDK, or both. - A track record of establishing architectural foundations where little existed - specific standards introduced, how they were adopted by teams that did not report to the candidate, and which failed and why. - Hands-on experience with agentic software development - using AI coding agents to create specs and plans, execute meaningful multi-step work, run and fix tests, validate results, and iterate while owning architecture, quality, and what ships. - Deep expertise in at least one primary area (Python or JVM backend and distributed systems, or React and TypeScript product engineering), plus ability to work across the full system. - Experience with retrieval, embeddings, context, memory, evaluation, monitoring, or AI agent architectures and workflows. - Strong judgment in testing, monitoring, failure handling, privacy, security, access control, and data governance, carried into a regulated or audited environment. - Experience working with or inside a platform or infrastructure team as the delivery vehicle for organization-wide change, including how ownership was divided and how a parallel platform was avoided. - Experience serving as a central technical point across multiple teams, with evidence of making those teams faster rather than becoming their approval gate. - Demonstrated ability to create alignment across disagreeing teams, and to contribute to roadmap and capacity planning so foundational work is actually scheduled. - Clear written communication and effective collaboration across technical and non-technical teams; influence without authority is the primary tool of this role. PREFERRED QUALIFICATIONS - Healthcare, health insurance, or benefits administration, including ICHRA, claims, eligibility and enrollment, or interoperability standards such as EDI and FHIR. - Previous experience in a venture-backed high growth company. - Internal developer platform or developer experience work, including golden path or paved road programs and adoption measurement. - Experience with GitLab CI at scale, including shared and templated pipelines. - Production observability and LLM observability practice, including Datadog. - Event-driven and streaming architecture, such as Kafka or Flink. - Practical experience with agent tooling and standards such as Claude Code, the Model Context Protocol, and agent SDKs. - Experience defining an AI governance or technology radar process alongside a security or compliance partner. A LITTLE MORE ABOUT US: - We know healthcare. Our company was founded and is still led by industry veterans who have started and grown several market-leading companies in the space. - We have raised money from top tier investors who share the same long-term vision as we do of building an industry defining company that will endure over the long run. We are well capitalized. - Our clients love us. Customer satisfaction rates among employees using Gravie health plans consistently rank above 80% – nearly 40 points above the industry average. - Our culture is unique. We tend to be non-hierarchical, merit-driven, opinionated but kind people who thrive working in a high-performance, fast-paced environment. People at Gravie care deeply about making a positive impact in the lives of the people we serve. BENEFITS Our unique benefits program is the gravy, i.e., the special sauce that sets our compensation package apart. In addition to standard health and wellness benefits, Gravie’s package includes alternative medicine coverage, flexible PTO, up to 16 weeks paid parental leave, paid holidays, a 401k program, transportation perks, education reimbursement, and 2 days of paid paw-ternity leave. JOB APPLICANTS If you apply for employment with Gravie, personal information collected via our applicant tracking vendor is subject to our standalone California Job Applicant Notice at Collection, accessible directly within the application workflow and separate from this Policy.

Location: San Francisco Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Most merchants don't find Checkout.com http://Checkout.com through an ad. They find us because someone they already trust told them to look at us, whether that’s their ecommerce agency, their billing platform, their fraud provider, their consultant. We view partnerships as a core growth engine for Checkout.com http://Checkout.com, and this role exists to turn that trusted relationship into a repeatable, scalable revenue channel through disciplined execution, strong commercial instinct, and relentless ownership. We're looking for a high-ownership self-starter who can originate, structure, and close partnerships that drive measurable revenue impact. Our ideal candidate is an operator with strong drive and bias for action — they move fast, take on meaningful challenges, and are recognized for the impact they deliver. You'll own a portfolio of partners and the merchants they bring us. This is a builder role: you won't inherit a book that carries you to your number — you'll go and find it. At Checkout.com http://Checkout.com, ambition and quality work get met with opportunity, and growth is in your hands. WHAT YOU'LL BE DOING - Source new partners from a blank list — agencies, systems integrators, ISVs, fintechs and consultancies. Cold outreach, events, referrals, whatever gets you in the room. - Win the commercial case: get partners to recommend Checkout to their clients ahead of the incumbent, built on the outcomes their clients care about — acceptance rates, market coverage, revenue. - Win the technical commitment: make the case for a partner investing engineering time in building with Checkout, then coordinate Partner Engineering to deliver it and keep the integration current as our product evolves. - Activate signed partners into producing partners — map their client base, train the solution architects and account directors who influence recommendations, and keep opportunities registered early. - Structure and close referral, reseller and embedded models, negotiating across commercial, legal and operational dimensions. - Own your number: net revenue, total processed volume, product penetration and conversion. You're recognized on partnerships converting into live merchants and revenue — not on signed logos or pipeline. - Act as the single owner across Sales, Legal, Product, Partner Engineering and Marketing, removing blockers and driving launches to go-live. WHAT WE LOOK FOR EXPERIENCE - 3+ years of experience in partnerships, business development, or strategic sales. - Payments or fintech experience, processor or merchant side — gateway, acquirer, PSP, orchestration, fraud and risk, or a software platform where you sold payments to existing customers. - Track record of closing Enterprise or complex, multi-stakeholder deals is a plus - Experience structuring commercial models (rev share, reseller, embedded partnerships) SKILLSET - Strong commercial acumen - understands what drives revenue and margin - Solid negotiation skills - can hold ground while progressing deals - Ability to operate in cross-functional, high-ambiguity environments - High attention to detail - no room for approximation - Resilience for genuine cold outreach. Most of your first six months is finding partners who have never heard from us MINDSET - Owner mentality - accountability without excuses - Performance-driven - focused on outcomes, not activity - Low ego, high standards - direct, constructive, and solution-oriented - Comfortable being challenged - and challenging back when needed NICE TO HAVES - Experience working inside or alongside an agency, systems integrator or ISV — you'll already know how partners decide which vendor to put in front of a client. - Exposure to embedded payments, payfac or marketplace models. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/