Вакансии

– SQL (написание базовых запросов, JOIN, GROUP BY); – знание нотаций моделирования бизнес-процессов (UML и/или BPMN);

• Own AI features from concept to production in a high-load environment. • Build and fine-tune LLMs, train specialized models, and integrate them into the platform.

2+ years of professional software engineering. Code merged into a public open-source repository, ideally one you know well.

В качестве старшего бэкенд разработчика в Zentist ваша работа напрямую влияет на развитие бизнеса. Каждый ваш коммитмент, направленный на автоматизацию ручных процессов, экономит много часов и долларов специалистам в стоматологических клиниках, отвечающих за процесс оплаты лечения через страховые компании.

Location: USA - New York (dbt) From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are coming together with a shared mission: helping organizations unlock the full value of their data. Together we're building the data infrastructure layer that moves, transforms, and adds context to data — from the moment it lands to the point where teams and AI systems depend on it. As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products our customers know and trust. It's a good time to join a company with the scale, talent, and technology to help more organizations put their data to work. About the Role Product Finance covers two things: how our products perform, and what they cost to build, run, and support. This role owns the cost and investment side, as the finance partner to the Product and Customer Support organizations. You'll own the operating expense P&L for both organizations — headcount and hiring plans, vendor and program spend, annual planning, monthly close, and budget-vs-actuals — and work with those leaders on where to spend and what to trade off. You'll also build our view of product investment at the portfolio level: what we spend behind each product line, what it returns, and what that means for how the roadmap gets funded. That includes bringing cost of revenue and unit economics into the picture, so we can talk about product margin rather than just product spend. This is how we'll decide where to invest and where to pull back. You'll build our cost-to-serve view as well — support cost by account and segment, and the economics of deflection and AI-assisted support. Expect close work with Product Managers, Support and Engineering leaders, Pricing, Corporate FP&A, and Accounting, and regular exposure to senior leadership as we scale toward public company readiness. This is a full-time, hybrid position based in our New York, NY office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. What You'll Do Serve as the finance business partner to Product and Customer Support leadership — own their budgets, partner on spend decisions, and flag risks, trade-offs, and reallocation opportunities early. Own the annual operating plan for both organizations, including headcount and hiring plans, vendor and program spend, and quarterly reforecasts. Own monthly close, accruals, and variance analysis — budget vs. actuals with clear driver explanations and forward-looking implications. Build the portfolio view of product investment: what we spend behind each product line, what it returns, and what that implies for roadmap funding and resource allocation. Bring cost of revenue and product unit economics into that view, working with the teams that own the underlying cost data. Build cost-to-serve analytics — support cost by account and segment, and the economics of deflection and AI-assisted support. Build business cases for new product investments and major roadmap decisions, including the economics of retiring or consolidating products, and provide Pricing with the unit economics behind packaging and monetization changes. Co-own the Product Monthly and Quarterly Financial Reviews with the product top-line lead, so cost and performance are presented together. Improve how this work gets done — better data models, less manual assembly, and AI applied to recurring analysis. What We're Looking For 4+ years in FP&A, strategic finance, product finance, investment banking, or consulting, including ownership of a model or forecast that others relied on. Experience owning an operating expense budget, or partnering with a non-finance organization on its spend. Strong modeling skills across both driver-based revenue forecasts and operating expense and headcount models. Working knowledge of software and subscription economics — ARR, NRR, ARPA, expansion, gross margin — ideally in a usage-based business. Comfort working directly with large and complex datasets. SQL proficiency strongly preferred. Ability to turn analysis into a clear recommendation and present it to Product, Support, and senior leadership. Interest in how software gets built and what it costs to run. Nice to Have Product or Engineering finance partnership at a software, data infrastructure, or developer tools company. Hands-on product margin, cost of revenue, or cost-to-serve analysis. Experience supporting a Customer Support, Services, or other cost-to-serve organization. Usage-based pricing, packaging, or monetization modeling. Planning and BI tools (Pigment, Looker, Tableau, Sigma) and lightweight automation in Python or SQL. Experience through a period of rapid scaling or IPO preparation. #LI-JG1 #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. New York Pay Range $126,220 — $151,470 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are coming together with a shared mission: helping organizations unlock the full value of their data. Together we're building the data infrastructure layer that moves, transforms, and adds context to data — from the moment it lands to the point where teams and AI systems depend on it. As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products our customers know and trust. It's a good time to join a company with the scale, talent, and technology to help more organizations put their data to work. About the Role Product Finance covers two things: how our products perform, and what they cost to build, run, and support. This role owns the cost and investment side, as the finance partner to the Product and Customer Support organizations. You'll own the operating expense P&L for both organizations — headcount and hiring plans, vendor and program spend, annual planning, monthly close, and budget-vs-actuals — and work with those leaders on where to spend and what to trade off. You'll also build our view of product investment at the portfolio level: what we spend behind each product line, what it returns, and what that means for how the roadmap gets funded. That includes bringing cost of revenue and unit economics into the picture, so we can talk about product margin rather than just product spend. This is how we'll decide where to invest and where to pull back. You'll build our cost-to-serve view as well — support cost by account and segment, and the economics of deflection and AI-assisted support. Expect close work with Product Managers, Support and Engineering leaders, Pricing, Corporate FP&A, and Accounting, and regular exposure to senior leadership as we scale toward public company readiness. This is a full-time, hybrid position based in our Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. What You'll Do Serve as the finance business partner to Product and Customer Support leadership — own their budgets, partner on spend decisions, and flag risks, trade-offs, and reallocation opportunities early. Own the annual operating plan for both organizations, including headcount and hiring plans, vendor and program spend, and quarterly reforecasts. Own monthly close, accruals, and variance analysis — budget vs. actuals with clear driver explanations and forward-looking implications. Build the portfolio view of product investment: what we spend behind each product line, what it returns, and what that implies for roadmap funding and resource allocation. Bring cost of revenue and product unit economics into that view, working with the teams that own the underlying cost data. Build cost-to-serve analytics — support cost by account and segment, and the economics of deflection and AI-assisted support. Build business cases for new product investments and major roadmap decisions, including the economics of retiring or consolidating products, and provide Pricing with the unit economics behind packaging and monetization changes. Co-own the Product Monthly and Quarterly Financial Reviews with the product top-line lead, so cost and performance are presented together. Improve how this work gets done — better data models, less manual assembly, and AI applied to recurring analysis. What We're Looking For 4+ years in FP&A, strategic finance, product finance, investment banking, or consulting, including ownership of a model or forecast that others relied on. Experience owning an operating expense budget, or partnering with a non-finance organization on its spend. Strong modeling skills across both driver-based revenue forecasts and operating expense and headcount models. Working knowledge of software and subscription economics — ARR, NRR, ARPA, expansion, gross margin — ideally in a usage-based business. Comfort working directly with large and complex datasets. SQL proficiency strongly preferred. Ability to turn analysis into a clear recommendation and present it to Product, Support, and senior leadership. Interest in how software gets built and what it costs to run. Nice to Have Product or Engineering finance partnership at a software, data infrastructure, or developer tools company. Hands-on product margin, cost of revenue, or cost-to-serve analysis. Experience supporting a Customer Support, Services, or other cost-to-serve organization. Usage-based pricing, packaging, or monetization modeling. Planning and BI tools (Pigment, Looker, Tableau, Sigma) and lightweight automation in Python or SQL. Experience through a period of rapid scaling or IPO preparation. #LI-JG1 #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Denver Pay Range $118,331.50 — $142,003.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: San Francisco; London; Seattle; New York City; Toronto ABOUT THE ROLE The Enterprise Trust & Governance team builds the control plane that lets the world’s largest organizations deploy Perplexity broadly and with confidence. Computer and our agents work across a growing share of our customers’ environments, tools, and models. For administrators, that makes precise, enforceable control essential: who can do what, with which data, through which agents, and within what usage limits. This team makes those controls easy to manage, reliable and consistent across every product, and transparent to the people accountable for them. This is a product and platform engineering role with end-to-end ownership, from shaping the architecture and policy models to shipping the experiences our customers’ administrators and security teams use every day. You’ll work across product and infrastructure teams to turn complex enterprise requirements into reusable primitives and intuitive controls. The scope spans identity and provisioning, fine-grained role-based access across connectors, tool actions, and models, customer-managed encryption keys, admin APIs, audit logs, and policy and usage controls. Strong governance helps enterprises move from pilots to company-wide rollouts and gives them the confidence to entrust agents with greater responsibility over time. KEY RESPONSIBILITIES - Own enterprise identity and provisioning, including SSO (SAML/OIDC), SCIM, WorkOS integrations, and support for identity providers such as Okta and Microsoft Entra ID. - Build the permissions platform, with fine-grained roles and permissions for connectors, tool actions, models, and model effort levels, enforced consistently across products and agent workflows. - Design and ship secure, well-documented admin APIs for audit logs, members, groups, roles, and settings. - Build policy controls for model and feature availability, staged rollouts, model deprecations, usage and spend limits, alerts, and cost-center allocation. - Build admin-facing analytics for adoption, usage, spend, and policy enforcement, helping organizations measure value and manage their deployments. - Deliver audit logs and change notifications that help administrators investigate activity, track configuration changes, and support compliance. - Set the technical bar for authorization correctness and reliability, with fast, consistent, explainable permission checks, well-defined failure behavior, and strong tenant isolation. - Partner with Product, Design, Security, Sales, and Customer Success to translate complex enterprise requirements into reusable platform capabilities and intuitive admin experiences. QUALIFICATIONS - 4+ years of software engineering experience, with a track record of owning complex backend systems from design through production operation. - Strong system design skills, including building reliable, scalable, multi-tenant SaaS platforms with clear security and isolation boundaries. - Strong proficiency in a backend language such as Python, Go, or Rust, and hands-on experience with cloud infrastructure such as AWS and Kubernetes. - Deep expertise in at least one of the following: - Enterprise identity and provisioning, including OAuth, OIDC, SAML, and SCIM. - Permissions platforms, fine-grained authorization, and policy enforcement. - Encryption, customer-managed keys, and key lifecycle management. - Enterprise admin platforms, audit infrastructure, or usage and spend analytics. - Experience building or integrating enterprise identity and access systems, including platforms such as WorkOS, Okta, or Microsoft Entra ID. - Sound technical judgment in security-sensitive systems, balancing threat models, authorization correctness, and failure behavior with usability and delivery speed. - A track record of leading ambiguous, cross-team initiatives from architecture through adoption, setting technical direction for shared platforms, and raising engineering quality through mentorship. If you’re excited about this role, we encourage you to apply even if you don’t meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Staff Electrical R&D Lead to drive the advanced development of next-generation wearable sensing technologies. As part of the Hardware Engineering team, you will lead the exploration, design, characterization, and validation of novel sensing systems, developing a deep understanding of the complete signal chain - from the underlying physiological signals and sensor interfaces through analog and digital electronics to downstream system requirements. You will combine strong electrical engineering fundamentals, hands-on experimentation, and advanced data analysis to translate complex system behavior into architecture and design improvements that optimize sensing performance. This is a hands-on technical leadership role for an engineer who combines deep electrical expertise with exceptional systems thinking, analytical rigor, and technical judgment. You will guide and mentor engineers while working closely with Electrical, Mechanical, Firmware, Signal Processing, and WHOOP Labs teams to evaluate emerging technologies, define system requirements, identify performance limitations, and drive technical decisions. You will help establish the technical direction for advanced electrical development, balancing innovation with product feasibility, performance, and development timelines. RESPONSIBILITIES: - Lead advanced electrical development initiatives, driving technical direction from early-stage technology exploration and sensor evaluation through feasibility, prototyping, system characterization, and design validation - Develop a deep understanding of the complete sensing signal chain, including sensor behavior, analog front-end performance, electrical interfaces, physiological characteristics, and downstream system requirements, to inform electrical architecture decisions and optimize end-to-end sensing performance. - Define and execute experiments to characterize sensor and system behavior, isolate variables, identify performance limitations, and evaluate interactions across electrical, mechanical, physiological, and environmental conditions - Execute data analysis to translate experimental findings into actionable electrical design improvements, technical recommendations, and quantitative performance requirements. - Drive the evaluation, integration, and validation of new sensing technologies, establishing test methodologies, performance criteria, and system-level requirements that support reliable operation across real-world use cases - Partner closely with Electrical, Mechanical, Firmware, Signal Processing, and WHOOP Labs teams to understand system dependencies, evaluate technical tradeoffs, and ensure electrical designs support broader sensing system performance objectives - Lead complex technical investigations and root-cause analysis, combining first-principles engineering, bench measurements, system telemetry, and structured experimentation to identify risks and drive effective design solutions - Guide and mentor engineers across advanced development projects, setting technical priorities, providing design review and technical direction, and driving cross-functional alignment while maintaining strong hands-on engineering contributions - Translate ambiguous technical challenges into actionable development plans, proactively communicating technical risks, recommendations, and progress while balancing engineering rigor with product and schedule objectives - Remain hands-on with circuit design and simulation, prototype bring-up, hardware debugging, and design iteration, directly contributing to critical technical investigations and design decisions QUALIFICATIONS: - Bachelor's degree or higher in Electrical Engineering or a related technical field, or equivalent practical experience - 8+ years of relevant electrical engineering, hardware R&D, or sensing systems development experience, with demonstrated technical leadership and ownership of complex engineering projects - Deep electrical engineering fundamentals across analog and digital circuit design, sensor interfaces, signal integrity, noise analysis, and system-level electrical architecture - Strong systems-level understanding of sensing technologies - Exceptional hands-on experimentation, hardware characterization, and debugging skills, with the ability to apply first-principles engineering and structured analysis to complex technical challenges - Proficiency in Python or equivalent tools - Demonstrated ability to lead ambiguous, cross-functional technical initiatives, guide engineering decisions, mentor other engineers, and drive technical challenges to resolution - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Sentry helps developers identify and resolve issues in their applications. Behind our products is a complex foundation of distributed systems, cloud infrastructure, and services that must perform reliably at scale. Our Platform and Infrastructure Engineering teams build and operate the systems that power Sentry. From cloud infrastructure, distributed storage, and real-time event processing to service reliability, scalability, and developer productivity, these teams provide the technical foundation that enables our products and engineering organization to grow. We're looking for Staff Software Engineers to tackle some of Sentry's most challenging infrastructure and distributed systems problems. Depending on your experience and interests, you might work on scaling our real-time event processing systems, improving the reliability and efficiency of our cloud infrastructure, or designing and building foundational services that support our products. In this role, you'll have the autonomy to identify important technical problems, lead solutions from design through production, and influence engineering decisions beyond your immediate team. We're looking for engineers who enjoy solving difficult problems, remain hands-on with the systems they build, and take pride in delivering meaningful technical impact. IN THIS ROLE, YOU WILL - Design, build, and operate reliable, scalable distributed systems that support Sentry's products and engineering teams. - Own technically complex projects from identifying problems and defining solutions through implementation, deployment, and production operations. - Solve challenging engineering problems involving system architecture, performance, scalability, reliability, and operational efficiency. - Make thoughtful architectural decisions, evaluating tradeoffs between performance, complexity, maintainability, and long-term scalability. - Proactively identify technical challenges and opportunities for improvement, including problems without clearly defined requirements or established solutions. - Stay hands-on with engineering, contributing production-quality code, reviewing designs, and helping resolve complex technical issues. - Collaborate with engineers and technical leaders across teams to influence technical direction, establish engineering standards, and drive improvements. - Share technical knowledge, mentor other engineers, and help strengthen engineering practices across the organization. YOU'LL LOVE THIS JOB IF YOU - Enjoy solving difficult technical problems where the solution isn't immediately obvious. - Like designing and building systems that operate reliably at scale. - Thrive on taking ownership of complex engineering challenges, from initial design through production. - Balance hands-on engineering with technical leadership and enjoy influencing decisions without formal authority. - Think critically about architectural tradeoffs and favor pragmatic, maintainable solutions over unnecessary complexity. - Take initiative in identifying important problems rather than waiting for projects to be assigned. - Enjoy collaborating with talented engineers, sharing knowledge, and raising the bar for engineering quality. - Find satisfaction in shipping meaningful improvements and seeing the impact of your work in production. QUALIFICATIONS - 8+ years of software engineering experience, with a strong background in designing, building, and operating distributed systems or infrastructure. - Strong software engineering fundamentals and proficiency in at least one programming language, such as Python, Go, Java, or a comparable language. - Experience designing and implementing technically complex systems, with a track record of delivering meaningful engineering outcomes. - Hands-on experience with cloud infrastructure and services, such as AWS, GCP, or Azure. - Demonstrated ability to independently own complex technical projects, navigate ambiguity, and drive solutions from design through production. - Deep technical experience in one or more of the following areas: - Cloud Infrastructure: Kubernetes, container orchestration, Terraform, infrastructure as code, networking, or service discovery. - Distributed Systems: Distributed architectures, fault tolerance, consistency, replication, or high-availability systems. - Data Infrastructure: Kafka, real-time streaming, distributed storage, OLAP/OLTP databases, or large-scale data processing. - Infrastructure Reliability: Observability, performance optimization, capacity planning, incident response, or production operations. - Developer Infrastructure: CI/CD systems, build and deployment infrastructure, developer environments, or internal developer platforms. - Strong architectural judgment, with the ability to evaluate technical tradeoffs and design systems for reliability, performance, and long-term maintainability. - Ability to communicate complex technical concepts clearly, collaborate effectively, and influence technical decisions across engineering teams. - Experience improving engineering practices, sharing technical knowledge, or helping other engineers grow. We recognize that strong engineers come from different backgrounds. You don't need experience in every technology or domain listed above. We're interested in candidates who bring meaningful technical depth, strong engineering judgment, and a track record of solving challenging problems. The base salary range that Sentry reasonably expects to pay for this position is $240,000 to $400,000, plus an annual performance bonus of up to 15% of base salary. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Remote US; Remote Canada Workplace: Remote InfluxData is the creator of InfluxDB, the leading time series platform used to collect, store, and analyze all time series data at any scale. Developers can query and analyze their time-stamped data in real-time to discover, interpret, and share new insights to gain a competitive edge. InfluxData is a remote-first company with a globally distributed workforce. For more information, visit www.influxdata.com http://www.influxdata.com. As a Developer Advocate on our Developer Relations team within Marketing, you’ll make developers more productive and empowered by creating demos and technical content, giving talks, organizing meetups, and engaging with users online. You’ll represent InfluxData to the community and the community to InfluxData, working with Product and Engineering to align their efforts with what the community needs. InfluxData is a company built by and for developers. The Developer Advocate on the Developer Relations team will be a leader who directly impacts our entire user community. What you’ll be doing - Become an authority on the InfluxDB platform, open source and commercial - Help developers get started on InfluxDB and build their own solutions - Establish a social media presence that represents InfluxData - Encourage InfluxDB adoption through blogs, videos, and other content you create - Be an active voice in Influx Community groups and Slack discussions - Showcase InfluxData through regular talks at conferences, meetups, and online events - Build and deliver technical training workshops on Influx software - Support and empower our user community and reduce onboarding friction through code samples, debugging, direct partner engagement, prototypes and long-tail support channels (forums, office hours, blog posts, and more) - Influence InfluxData’s product strategy as the developer’s advocate inside the company, working with Product Management, Engineering, PR, Marketing, Business Development, and other cross-functional teams - Build relationships with technical experts and communities around other projects What we’re looking for - You’re a strong public speaker with experience presenting at conferences, meetups, or online events - You have 2+ years of experience working with and supporting open source projects, developers, platforms, communities, or user groups - You’ve built technology demos and examples that developers can follow - You know software development and can learn new technologies and languages Bonus points if you - Have built and delivered technical training, both in person and online - Have strong technical writing skills - Have contributed code to open source projects - Have hands-on experience with IoT and edge devices, protocols, and frameworks - Have experience with Python, JavaScript, Java, or similar languages - Have worked with or for database companies Applications will be accepted on a rolling basis. Interview Information: Our interview process begins remotely. Interviews are typically conducted via Zoom. To ensure every candidate can participate, please let us know if you are unable to access Zoom. Some roles may require an in-person meeting with a team member as part of the final stage. We offer fantastic benefits for full time employees; in the US these include: - Medical/dental/vision insurance with 100% coverage for employees - Company contribution to your FSA - Flexible Time Off - take the time you need - Life Insurance, short and long term disability insurance - 401(k) - Wellness programs - Annual professional development budget - Financial planning and legal advice Our Core Values Our employees are the heart of the company and only by having a core set of beliefs and values will we be successful. We hire and live by these core values: - We value each other - We get stuff done - We believe humility drives learning - We embrace failure - We are committed to open source Visit our careers page https://www.influxdata.com/careers/ to learn more about working at InfluxData. InfluxData is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other categories protected by applicable law.  To view our Know Your Rights Poster click HERE https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf To view our CCPA policies click HERE https://www.influxdata.com/wp-content/uploads/November-2023-InfluxData-Candidate-Privacy-Notice.pdf If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access this website to apply for a vacancy as a result of your disability. You can request reasonable accommodations by reaching out to the recruiting team by emailing apply@influxdata.com.  InfluxData does not accept unsolicited resumes from headhunters and recruitment agencies through our website, job board or directly to employees. InfluxData will not pay fees to any third-party agency, headhunter or company that does not have a signed agreement for this position in place. Beware of job scams and fraudulent offers! Our recruiters use @influxdata.com http://influxdata.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software other than Zoom, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank accounts or social security numbers. If you have been contacted by someone claiming to be from InfluxData from a different domain about a job offer, please report it as potential job fraud to law enforcement and to jobs@influxdata.com.

- Тестирование новой функциональности веб-платформы, Data API и биллинга: подписок, токенов и платёжных провайдеров. - Исследование сложных обращений в поддержку: воспроизведение проблемы, поиск первопричины в логах и данных, постановка понятных задач разработчикам.

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. As an ML (Machine Learning) Engineer at Checkout.com http://Checkout.com in the Disputes ML team, you will contribute to the development of our brand-new, ML-driven dispute optimisation suite. This is a unique opportunity to get in on the ground floor of an expanding area, grow alongside top-tier engineers, and make a tangible impact on millions of disputes. You will be building solutions that power our stack of value added services in the Disputes area. We’re a growing team in an expanding area within the company and we’re looking for individuals who have strong ownership, are passionate about productionising ML and have a pragmatic approach to converting big problems into smaller iterations to constantly deliver value. How you’ll make an impact - Build systems for training, deploying and monitoring machine learning models used in our Disputes platform, at scale - Build and optimize data pipelines and backend services to process dispute and payment data in real time - Build and scale our feature store for use-cases both online and offline - Take complete ownership of delivering comprehensive, end-to-end features within a startup-like setting, driving the entire lifecycle from requirement refinement, data pipeline construction and model training to troubleshooting and production deployment - Turn raw data into production-ready features that feed our dispute systems - Collaborate with platform and backend engineers to integrate models seamlessly Experience and qualifications - 5+ years of experience as MLOps /ML Engineer - High proficiency in writing clear, production-ready Python code - Experience with production ML models (online or offline) and standard MLOps practices - Experience with monitoring and observability of production systems, with a strong sense of ownership - Experience with training and operating models on Databricks - Familiarity in Cloud-based application development (we use AWS & Azure) - Familiarity with one or more ML frameworks and technologies: scikit-learn, xgboost, TensorFlow, PyTorch, Spark, SageMaker, Vertex AI, Kubeflow, Seldon, Triton - Strong communication skills, able to express ideas clearly and collaborate across teams 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/

Location: Paris; Zurich; Warsaw; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Research Software Engineer on the Sandboxes team, you will design, build, and operate the platform that runs isolated environments for untrusted code at massive scale. Our work spans distributed systems, low-level virtualization, and product-minded platform design. Engineers on this team move between deep infrastructure work and understanding how researchers actually use the platform. This is a software engineering role, not an ML research role. You do not need prior ML experience; what matters is writing clean, reliable systems code that scales. You will join a small, senior team where the wrong hire is worse than no hire. WHAT YOU WILL DO - Design, build, and operate the sandboxing platform that runs untrusted code at scale across multiple Kubernetes clusters, from our own bare metal data centers to hyperscalers. - Develop the sandbox runtime leveraging Firecracker, enabling fast startup, snapshotting, and efficient scheduling without blocking expensive hardware. - Obsess over performance and latency optimisation allowing us to reach millions of concurrent sandboxes. - Write robust, well-tested systems code in Rust and Python; review code, CI/CD, and observability across the platform. - Own cross-cluster networking, security boundaries, isolation guarantees and monitoring for suspicious activity. - Collaborate with researchers and ML engineers who use sandboxes for synthetic data generation and RL training, turning their needs into platform features. WHAT WE'RE LOOKING FOR - A strong background in software engineering and distributed systems, with experience building and operating large-scale infrastructure. - Deep expertise in at least one of: Kubernetes and cluster operations, cross-cluster networking, observability, or low-level virtualization. - Fluency in Python or Rust; comfortable writing systems code where performance and security matter. - Strong software-design instincts: modular code, testing, CI/CD, observability, and a bias for reliability. - A self-starter who learns fast. Core skills matter more than specific tools — we value meta-learning ability and motivation highly. - Low-ego, collaborative, and comfortable with ambiguity in a small, high-ownership team. NICE-TO-HAVES - Experience with Firecracker, microVMs, or similar virtualization technologies. - Product-mindedness: understanding of how sandboxes are used for synthetic data generation or RL training. - Experience with GPU clusters, CUDA, or ML workloads. - Prior SRE or platform engineering experience at scale. - Open-source contributions or widely used internal tools. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Анализ кода и поведения вредоносных программ под Windows и Linux, реверс‑инжиниринг; Отслеживание актуальных угроз, кампаний и техник атакующих (публичные отчёты, threat intelligence, свежие образцы);

is looking for IT security engineers to lead identity, endpoint, access, automation, and operational security programs.

Kled AI is looking for a Research Scientist Benchmarks and Evals to develop benchmarks, evaluate frontier models, and demonstrate the value of opt-in human data.

💎 Авиасейлс ищет Data Engineer для подключения новых источников данных и разработки/модернизации data pipelines, настройки и поддержки аналитического окружения, обмена данными с внешними и внутренними сервисами, совместной модернизации дата‑платформы с core‑командой, работы в паре с продуктовым дата‑инженером;

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Applied AI team helps the world’s largest organizations put Claude to work. As a Cybersecurity Specialist on Applied AI, you’ll be part of an overlay team of domain experts who sit alongside our enterprise account teams and bring deep security expertise to the accounts where it matters most. You won’t own an account. You’ll be the security expert the account team pulls in to win and grow the most important security conversations: helping CISOs and security leaders see where Claude can take on real security work, then guiding them from early pilots to durable, production workloads. You’ll cover a portfolio of enterprise accounts across regulated industries like financial services, insurance, and healthcare, strategic accounts like semiconductors (IP protection, industrial control systems, export controls), and digital natives and public sector agencies, each with its own threat model. How this team works You partner with account executives, account architects, and generalist Applied AI engineers, who own the customer relationship and the broader technical engagement. You bring the security depth they don’t have time to build. You work across many accounts at once, so the playbooks, reference implementations, and evaluation approaches you build are reused across the field, not just for one customer. You are the connection point between the field and Anthropic’s Product, Research, and Engineering teams, turning what you see in customer security programs into product feedback. You work alongside ISVs, systems integrators, and managed security providers who already serve these customers, enabling them where they own the engagement rather than competing with them. Responsibilities Join account teams to understand a customer’s security program, identify where Claude can do meaningful security work, and turn that into a technical plan and business case Serve as the security-domain technical advisor on strategic enterprise accounts, from discovery through deployment Move customers from one-time code scanning to sustained security workloads: application security in the SDLC, continuous automated penetration testing, alert triage and investigation, and threat intelligence that answers “does this new vulnerability affect us, and where” Build and maintain reference implementations, harnesses, and evaluation approaches, and help customers adapt them to their own environments and controls Run workshops and hands-on sessions where customer security teams use Claude on their own code and workflows Equip partners to deliver Claude-powered security outcomes, with a clear line between what Anthropic delivers and what partners deliver Speak credibly to every audience, from appsec engineers to CISOs and executives, including how to explain the value and risk of security work in business terms Define and track adoption depth for each security workload across your accounts, and work with Product and Engineering on the telemetry to measure it Write the playbooks and best practices the rest of the field can reuse, including how Claude complements the security tooling customers already own Develop reference customers who can speak to the value they’re realizing Stay current on frontier LLM capabilities and the new classes of vulnerabilities and attacks they surface Travel occasionally to customer sites for workshops and technical deep dives You may be a good fit if you have 5+ years in security roles, with hands-on depth in at least two of: application security and secure SDLC, offensive security and penetration testing, detection and response, or threat intelligence and vulnerability management Experience in a technical customer-facing role (Solutions Architect, Sales Engineer, security consultant, TAM), or on a security team where you had to win investment from leadership Experience with large enterprise customers and complex, multi-stakeholder buying cycles, including working alongside the vendors and partners already in the account The ability to translate between security teams, engineering teams, and executives Comfort with Python, CI/CD, and cloud environments, plus hands-on experience using LLMs for security work such as code review, vulnerability discovery, triage, or investigation A love of teaching and a collaborative approach to working across teams and balancing competing priorities The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $400,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.