Вакансии

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 provides developer-first observability to over 4 million developers worldwide. The Events Analytics Platform (EAP) team is at the heart of that mission: it powers how all of Sentry's event data, such as errors, transactions, spans, profiles, replays, and metrics, is stored, queried, and analyzed. It also powers Sentry's latest AI push, Seer. The EAP team makes it possible for developers to efficiently search and debug across massive volumes of data, providing the context needed to understand and fix issues quickly. This team is also a cornerstone of Sentry's long-term strategy to become a context assembly and telemetry platform that unifies different signals so developers can see the complete picture. As an engineering manager on the EAP team, you will lead a group of engineers building and scaling one of Sentry's most critical data platforms. You will be responsible for driving architectural evolution, ensuring system stability, and mentoring a talented team. This is a highly visible leadership role with direct ties to Sentry's long-term product and platform strategy. WHAT YOU'LL DO - Grow and develop a team of engineers with high expectations for ownership and impact - Set the technical and strategic direction for the team, balancing short-term stability with long-term architectural evolution - Drive development of core EAP features, including support for complex analytical queries, dynamic routing logic across fidelity levels, storage and compute separation, and modern patterns for analytical storage - Ensure EAP can support the workload demands of AI agents and MCP servers that unlock new AI capabilities for Sentry - Guide the unification of all event data into EAP and enable fast, complex cross-event querying at scale - Partner closely with cross-functional teams including Product Engineering, Streaming, Production Engineering, Security, and Compliance - Lead the team through incidents, postmortems, and scaling challenges while fostering operational excellence - Build a healthy and collaborative team culture rooted in growth, accountability, and inclusion YOU'LL LOVE THIS JOB IF YOU - Enjoy mentoring and developing engineers, especially helping junior engineers grow into senior roles - Get excited by designing and running large-scale distributed data systems where performance and reliability matter - Are passionate about tackling the challenges of continuously scaling as Sentry's traffic grows - Like tackling complex querying and storage challenges at massive scale - Thrive on cross-functional collaboration with product and infrastructure teams - Want to work on a highly strategic team with significant visibility that shapes the future of Sentry's platform QUALIFICATIONS - 10+ years of industry experience in software engineering, including 4+ years of people management experience with career development and performance management - Strong technical background in data platforms, storage systems, or analytical backends (for example, ClickHouse, Pinot, or Druid) - Experience with distributed systems, query optimization, or scaling data-intensive workloads - Excellent communication skills with the ability to clearly articulate technical concepts to diverse audiences - Proficiency with Python, Rust, or a similar programming language is a plus - Familiarity with observability, developer tools, or event-driven systems is a plus The base salary range that Sentry reasonably expects to pay for this position is $220,000 to $400,000 USD, 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: 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's Infrastructure Engineering team is what makes operating Sentry simple, safe, and seamless for every other engineering team in the company. They build the internal control platforms, configuration systems, traffic routing, and automation that let product engineers operate services safely at scale without needing deep infrastructure expertise themselves. As the Engineering Manager for Infrastructure Engineering, you'll lead a team of engineers building the tools that power Sentry's growth: internal admin and change management tools, configuration automation, and the routing layer that underlies Sentry's architecture. You'll be responsible for technical vision, team health, system reliability, and partnership with engineering teams across the company who depend on your team's tools every day. You'll work closely with leaders across Infrastructure, Platform, and Production Engineering to shape how Sentry scales its operational model as the company grows. IN THIS ROLE YOU WILL - Lead a team of engineers building the internal control platforms that every engineering team at Sentry relies on to operate services safely. - Drive the evolution of Infrastructure Engineering's platform, including configuration management, traffic routing and environment controls - Own the team's technical direction, contributing to key decisions on API architecture, internal tooling design, and automation frameworks. - Nurture and grow engineers at different levels, providing support through coaching, mentorship, and career development. - Foster an inclusive, high-performing team culture focused on ownership, learning, and delivery. - Partner with Production Engineering, SRE, and Developer Infrastructure to make sure operational tooling stays consistent and well-scoped across the org. - Own the reliability, adoption, and roadmap of the team's tools while building a culture of technical excellence and pragmatic decision making. YOU'LL LOVE THIS JOB IF YOU - Are passionate about building tools that make operating complex systems simple for other engineers. - Enjoy solving infrastructure problems around configuration, routing, and automation, and turning them into clean, self-service abstractions. - Believe in using proven technologies and committing to a single, reliable choice rather than chasing novelty. - Think in terms of building for scale and cost effectiveness from day one, and for the needs of many teams rather than one. - Value cross-functional collaboration and thrive in hybrid, in-person settings with engineers across functions, levels, and geographies. - Take pride in building strong, healthy teams and enabling them to lead high-impact, multi-year initiatives. - Want to be part of a thoughtful, highly technical team that cares about long-term system health and operational simplicity. QUALIFICATIONS - 10+ years of software engineering experience, ideally with a focus on internal tooling, infrastructure automation, platform engineering, or distributed systems. - 4+ years of engineering management experience, including growing and managing teams of engineers. - Experience as a Tech Lead or Engineering Manager leading the architecture and long-term evolution of internal control platforms or similar systems. - Strong backend or full-stack engineering background, with solid Python skills. - Familiarity with Kubernetes, terraform, python, and a systems mindset for abstracting complex infrastructure for others to use. - Strong technical communication skills and a track record of effective cross-team and leadership collaboration. - Proven experience delivering and owning multi-year engineering initiatives in a leadership or technical leadership capacity. - Comfortable working across org boundaries and aligning priorities across infra, platform, and product teams. The base salary range that Sentry reasonably expects to pay for this position is $220,000 to $400,000 USD, 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: CAN: Vancouver (333 Seymour St) Workplace: Hybrid The role / impact You will focus on solving engineering problems at scale, moving beyond feature delivery to influence the architecture and implementation of distributed systems. By refactoring complex, monolithic systems and building high-quality, scalable software, your work ensures our platform remains robust and reliable for millions of global users. As a senior member of the team, you will have the autonomy to make major code design decisions and contribute to global engineering standards. You will balance technical excellence with mentorship, acting as a role model and coaching others through complex technical challenges to help them grow. The team / how they connect You will join a collaborative environment where engineers, product owners, and designers work together using agile and delivery practices to ship meaningful code. The team prioritizes continuous learning and mastery, frequently participating in code reviews and knowledge-sharing sessions to maintain a high bar for technical craft. The team is currently working on / Initially, you will focus on - Modernizing systems by refactoring monolithic components into distributed, scalable architectures. - Enhancing the developer experience through the maturation of CI/CD concepts, tooling, and TDD practices. - Building and maintaining a diverse tech stack that includes C#,.Net, React, AWS, and Kubernetes. - Developing and implementing technical solution designs that align with long-term engineering frameworks.   Where and how you can work This role is based in our Vancouver office, where we embrace a hybrid working model. You will have the flexibility to work from home while joining the team in the office for "boost days" (1-2 days a week) to collaborate, socialize, and solve complex problems in person.   Here are some of the things we are looking for - Proven experience delivering and operating complex, large-scale systems (distributed/high-availability environments), with strong fundamentals and the ability to ramp quickly across adjacent technologies (we’re tech-stack agnostic). - You bring a growth mindset and a passion for proactively maintaining and sharing technical knowledge with your peers. - A background in designing and building high-quality software within a range of languages and tools is essential. - You possess the ability to lead major code design decisions and contribute to wider technical solutioning. - Experience with modern engineering practices like automated testing, refactoring, and agile delivery is key to your success. - You enjoy mentoring other engineers and helping them grow their technical skills through supportive coaching. - A deep care for technical excellence and a drive to solve large-scale engineering challenges motivates your daily work. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. We are also tech stack agnostic, so please apply if you've worked with adjacent technologies.   Compensation Philosophy At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheck. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits.   The base salary range for this role in Canada is $155,000 - $205,000 CAD.   Please note that this range represents base salary only. We believe in rewarding our people for their total contribution, which is why we look at compensation through a holistic lens. In addition to base pay, your total package may include: - Variable Pay: Eligibility commissions or equity based on role and performance. - Comprehensive Benefits: World-class health, wellness, and retirement programs. - Xero Perks: Inside Xero https://careers.xero.com/inside-xero/benefits-wellbeing/ Explore our full suite of benefits, from wellbeing initiatives to professional development. Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role

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 already sees the moment software breaks: the error, the trace, the replay, the commit that caused it. Seer, our AI debugger, uses all of that to figure out what went wrong and how to fix it. We're looking for a Staff engineer to help decide how that system should evolve as models improve every few months. Some of what we build today will be obsolete by next spring. Part of the job is knowing which parts, and building the rest to last. IN THIS ROLE YOU WILL - Build state-of-the-art agentic AI systems to triage, debug, and solve real production issues - Set technical direction for how our agents get context, use tools, and decide when they're done - Build the evals that tell us whether a new model or prompt actually helped, fast enough that people use them - Decide when to use a frontier model, a smaller one, or one we trained, and revisit that as cost and capability shift - Leverage Sentry’s novel (and massive) dataset of errors, spans, and profiles - Own major AI initiatives end to end, alongside the developers and product teams shipping them - Run what you ship in production and debug it with Sentry YOU'LL LOVE THIS JOB IF YOU - Are driven by impact and enjoy working on high-stakes, high-visibility projects - Enjoy building things. You will have the opportunity to join the AI/ML team as one of its foundational members - Thrive in cross-functional teams and enjoy building features alongside developers and product teams QUALIFICATIONS - You've shipped an LLM-backed system people depended on, and can tell us what broke - You have strong opinions on agent design and have changed at least one in the last year - You've trained or fine-tuned models when it was the right call, and you know when it isn't - You write solid production Python - You've owned a system or component and led work across multiple engineers and teams, with a design doc people actually read - You write clear technical documentation, mentor other engineers, and present to technical audiences The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $240,000 to $400,000. 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: 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 A strong and reliable platform is essential to scaling Sentry for the future. Our Platform organization is responsible for everything that powers Sentry, from cloud infrastructure and streaming systems to storage, deployment, and security. We own the core services and technical foundations that enable every product and engineering team at Sentry to move fast and build with confidence. We’re looking for a Senior Staff Software Engineer to set technical direction across Sentry’s Platform organization and lead engineering work spanning infrastructure, streaming, and storage. Reporting directly to the VP of Platform Engineering, you’ll partner with engineering and product leaders to identify where our platform needs to evolve, make architectural decisions across team boundaries, and lead those changes through production delivery. You’ll stay hands-on through system design, prototyping, and code while helping senior and staff engineers lead work across teams. WHAT YOU’LL DO - Set technical direction for platform initiatives spanning multiple teams, connecting architectural decisions to product needs and business priorities. - Identify and lead changes addressing system bottlenecks, reliability risks, and architectural constraints. - Own cross-team initiatives from problem definition and design through implementation, rollout, and evaluation. - Make tradeoffs across reliability, performance, cost, operational complexity, and delivery speed. - Stay hands-on where your contribution matters most, writing code, building prototypes, and helping teams resolve difficult implementation problems. - Partner with engineering and product leaders to prioritize platform investments and sequence work across teams. - Guide major architectural decisions and help teams resolve disagreements with clear reasoning and evidence. - Mentor senior and staff engineers, strengthening their technical judgment and ability to lead across team boundaries. HOW YOU WORK - You bring structure to ambiguous problems and help teams agree on what to solve first. - You pair architectural judgment with hands-on engineering and ownership through delivery. - You build alignment across teams, challenge assumptions, and make decisions when priorities compete. - You favor simple, maintainable designs and understand when added complexity is necessary. QUALIFICATIONS - Proven experience setting technical direction across multiple engineering teams, aligning engineering and product leaders on architectural decisions, priorities, and tradeoffs. - Track record of leading complex, cross-team initiatives from problem definition through production delivery, with measurable improvements in reliability, scalability, performance, or engineering productivity. - 12+ years of software engineering experience, including substantial hands-on experience architecting, building, and operating large-scale distributed systems. - Deep experience designing and operating production systems in cloud environments such as AWS or GCP, with ownership of architectural decisions and their operational outcomes. - Strong hands-on software engineering skills, including writing production code and building prototypes to validate architectural approaches. - Deep expertise in one or more of the following areas, with working knowledge across others: - Cloud infrastructure, container orchestration, and infrastructure as code, such as Kubernetes and Terraform. - Event streaming and real-time processing systems, such as Kafka, Flink, or Beam. - Distributed storage and data systems, including OLAP/OLTP databases, blob storage, and caching. - Ability to explain complex technical tradeoffs, build alignment across teams and senior leadership, and resolve architectural disagreements. - Experience mentoring senior and staff engineers, strengthening their architectural judgment, and developing technical leadership across teams. The base salary range Sentry reasonably expects to pay for this position is $260,000 to $400,000, plus an annual performance bonus of up to 20% 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: 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 seeking a Staff Hardware Engineering Program Manager to lead the development of new products. This is a player-coach type role, involving both direct management and project management responsibilities. In this role, you will partner closely with Hardware, Software, Manufacturing, and Creative teams to deliver novel WHOOP hardware. You will be a vital part of the growing Hardware EPM team. RESPONSIBILITIES: - Lead and align multi-disciplinary engineering teams, including Electrical, Mechanical, Firmware, Sensors and Manufacturing, to deliver new WHOOP hardware products. - Manage the engineering project management team dedicated to your program domain, ensuring everyone on your team is working towards the same goals. - Build and maintain visibility to the sub-projects within your domain, advising executive leadership on prioritization and team allocation based on business needs. - Coordinate critical milestones with cross-functional partners, such as Product, Industrial Design, and UX. - Drive clarity and alignment cross-functionally, even when requirements are ambiguous or in-flux. - Manage complex integrated projects from kickoff through launch, keeping in mind performance, schedule, and cost goals. - Create and manage detailed project schedules based on the product goals, balancing timelines, resources, and risks. - Work with the engineering managers to lead the project team through strategic and tactical shifts, keeping everyone focused on the most critical elements of the project. - Drive the development builds from Prototype through DVT with internal and external vendor partners. - Drive prioritization and planning of test activities with the Technical Leads, from focused design-of-experiments (DOEs) to large-scale beta tests. - Communicate project updates and drive key decisions at the executive level. QUALIFICATIONS: - Bachelor’s degree in Engineering or equivalent practical experience in hardware product development - 8+ years of industry experience in consumer electronics - Previous management experience is preferred, but not required. - Demonstrated success managing cross-functional hardware projects from development through market release with multiple products launched to date. - Strong understanding of product component development cycles, lead times, and sourcing processes - Experience communicating with Hardware, Firmware, Manufacturing, and external partners both domestically and internationally - Working knowledge of hardware lead-times and electrical development workflows. - Strong organizational, multi-tasking, and time management skills with the ability to thrive in fast-paced, ambiguous environments. - Excellent communication and stakeholder management skills, both written and verbal. - Ability to travel internationally to support engineering builds (up to 10%). 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. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. 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.

Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a Partner Solutions Engineer to join our partnerships team. This role will drive enablement and integration motions across Vercel's partner ecosystem: solution and consulting partners, strategic technology partners, and cloud alliances such as AWS. Partner Solutions Engineers work with partner engineering, sales, and product teams to grow adoption of Vercel's products and build strong technical relationships. Partner Solutions Engineers serve as technical collaborators and developer advocates for Vercel's strategic partners. You will work with Vercel's Partner Managers to design and deliver programs such as agentic workshops, discovery sessions, and technical enablement. You will also have the opportunity to work with Vercel's partners on building product integrations and accelerators, bringing them from 0 to 1 and using Vercel, Next.js, AI SDK, and eve. Partner Solutions Engineers require a strong web development background, especially in frontend development, cloud infrastructure, agentic development, and modern application development. Strong coordination skills across multiple partners and time zones are essential, as is building lasting relationships with practice leads, delivery teams, and executives. What you'll do Serve as the main technical contact for Vercel's partners, building lasting relationships with their engineering teams and leadership across solution and consulting partners, technology partners, and cloud alliances. Build product integrations, proofs of concept, and reference applications that connect Vercel agentic infrastructure to apps and agents using Vercel’s open source solutions. Author the guides, documentation, and workshop content behind Vercel's partner enablement, including integration guides for partner products. Provide pre-sales support on partner-attached opportunities. Enable Vercel's sales organization on the Vercel + partner better-together story, and present technical content at partner events, hackathons, and conferences. Gather and deliver high-signal feedback from partner use cases and integrations to Vercel product teams. What you need You are passionate about building first-class web and agent experiences. You have a strong understanding of fullstack web architecture, agentic development tools, and building AI applications. You have 4+ years of experience as a solutions engineer, solutions architect, or tech lead advising or consulting engineering teams. You have 6+ years of experience building and launching frontend applications using Next.js or React, and you still write code regularly. You have shipped applications with composable technologies and services common in partner-delivered projects, such as CMS, ecommerce, A/B testing, and personalization. You have built and shipped agentic applications with the Vercel AI SDK or other toolkits for AI-powered applications. You can speak credibly to LLM frameworks, agent architectures, and AI application patterns. You have worked with or within systems integrators, consulting firms, or technology partners, and understand how they staff, deliver, and grow a technology practice or product partnership. You are experienced in developer relations, from training sessions and sales demos to conference talks and technical content. You have a results-driven mindset and are experienced working in a fast-paced environment. You are comfortable working with remote, globally distributed cross-functional teams. You have excellent communication skills and experience advising both technical and non-technical stakeholders, from engineers to executives. You are able to travel 25% of the time. Bonus if you Have built integrations with Vercel's agentic infrastructure products. Have run certification, training, or enablement programs at scale. Have experience with cloud marketplace and alliance motions across AWS, Azure, and GCP. Have worked at or with a Vercel partner. Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base salary range for this role is $176,000 - $225,000 plus annual bonus. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for an Engineering Manager to lead and scale our Data Warehouse & Streaming Infra team. You'll own the data platform that Anthropic runs on: the foundation every team relies on to understand the business, make decisions, and keep our systems safe. Every org is your customer. As data volumes grow rapidly, and more of it arrives as real-time streams across multiple clouds, you'll help your team make that stack faster, more robust, and ready for what's next, and you'll shape the long-term vision for how data flows through one of the fastest-growing companies ever. This is a high-visibility, high-impact role that calls for both deep technical judgment and strong people skills. You'll partner with leaders across finance, data science, product, engineering, and research to uncover and meet their needs, and you'll grow a small, strong core into a large team. We're looking for someone who is comfortable with ambiguity, energized by both business and technical impact, and cares deeply about people. Responsibilities Lead, grow, and mentor the Data Warehouse & Streaming Infra team, fostering a culture of ownership, collaboration, engineering excellence, and execution at speed Own Anthropic's data warehousing, streaming, and processing capabilities end-to-end: "wow" user experience, ops, reliability/security/governance/cost, long-term strategic vision Support the team to scale and evolve our data ingestion, event streaming, change data capture, storage, orchestration, compute, query, and reporting systems at pace with business growth Collaborate to define and execute the roadmap for Anthropic's batch and streaming data infrastructure, balancing immediate business needs with durable, scalable design Lead key platform decisions for the streaming backbone, such as managed versus self-operated Kafka, grounded in clear models of throughput, cost, and operational burden Partner closely across Finance, Product, Research, and Engineering to ensure data systems directly support business-critical decisions and company growth Drive hiring for the team — sourcing, evaluating, and closing senior data infrastructure engineers who thrive in high-growth, high-trust environments Establish data quality standards, freshness and delivery SLAs, and operational processes that guide engineers and users through our high-change environment Ensure sound infrastructure investment decisions with clear awareness of cost, capacity, reliability, and long-term maintainability tradeoffs Align the broader Infrastructure org on a common direction for shared platforms, tooling, and best practices across Anthropic's data stack You may be a good fit if you Have 3+ years of engineering management experience, with a track record of building and leading high-performing data infrastructure teams Are a people-first leader who gives direct feedback, grows engineers' careers, and builds trust with technical and non-technical partners alike, while staying steady and principled as priorities shift, knowing when to move fast and when to do it right Bring deep, hands-on expertise in both batch and streaming data infrastructure, from warehousing, pipelines, and orchestration to event streaming and change data capture, including the fundamentals of distributed log systems such as partitioning, delivery guarantees, and backpressure Have owned systems with significant business or financial impact, and shipped at speed while improving reliability, scalability, security, and cost Excel at hiring — you've built teams from small to large, and have sharp instincts for identifying exceptional talent Strong candidates may also have experience with Warehouse and batch technologies such as BigQuery, Snowflake, Iceberg, Spark, dbt, or Airflow Streaming and change data capture technologies such as Kafka, Pub/Sub, Flink, or Debezium, ideally including running them at high scale Multi-cloud (GCP, AWS, Azure) or multi-region data platforms, including data-residency requirements Data infrastructure at AI or ML-intensive companies: you've served customer teams that build pipelines for financial/billing data, model training, evaluation, or safety workflows Building and operating observability or monitoring for data systems at scale Working in high-growth environments where data infrastructure had to evolve rapidly to keep pace with the business 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: $405,000 — $485,000 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.

Задачи: — Подбирать и покупать серверы/VPS под задачи. — Вводить серверы в эксплуатацию. — Поддерживать инфраструктуру в рабочем состоянии. — Работать с Docker images, networks и volumes. — Настраивать деплой и откат. — Организовывать хранение и просмотр логов. — Следить за изоляцией контейнеров и минимизацией рисков. — Работать с AWS, включая настройку безопасного SSH-доступа, firewall, поддержание актуальности пакетов и ОС, базовый аудит инфраструктуры. — Настраивать TLS/SSL, DNS, reverse proxy. — Разделять публичный и административный контуры. — Делать бэкапы. — Документировать инфраструктуру. Требования: — Знание Linux: systemd, сеть, диски и файловые системы, пользователи и права, пакеты, диагностика проблем. — Опыт эксплуатации Docker в production. — Понимание WireGuard/VPN: ключи, маршруты, peer'ы, split access, сегментация сети. — Минимальные знания AWS: EC2, VPC/networking, IAM, S3. — Знание Terraform/CloudFormation будет большим плюсом. — Понимание базовой серверной безопасности (hardening). Будет плюсом: — Опыт работы с Caddy/Nginx. — Опыт с CI/CD: GitHub Actions, GitLab CI. — Опыт с GHCR. — Опыт работы с несколькими VPS. — Разделение app/edge, отдельный административный контур. — Опыт эксплуатации PostgreSQL: бэкапы, доступы, восстановление. — Понимание типичных атак на SSH, панели управления, docker.sock, Swarm, Kubernetes. — Опыт с Ansible или собственными скриптами для автоматизации настройки серверов. Требования к кандидату: — Готовность работать с production. — Умение самостоятельно разбираться в проблемах. — Понимание последствий изменений. — Забота о безопасности заранее. — Автоматизация рутинных задач. — Умение объяснять разработчикам вопросы безопасности и предлагать решения. — Способность видеть инфраструктуру целиком, а не только отдельные компоненты.

Требования: — 0-1 год опыта в автоматизации CAD/EDA, разработке программного обеспечения или проектировании RTL.

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile industry. The Engineering & Data team plays a key role in Voodoo's long-term strategy. It enables Voodoo to both accelerate product diversification and provide a state of the art growth-engine to distribute and scale our games. They create innovative solutions that drive growth with a pragmatic approach, ranging from simple searching to complex machine learning systems. ROLE We’re looking for a Senior Cloud Infrastructure Engineer interested in creating something bigger to join our Engineering & Data team! In this role, you’ll be working on highly scalable solutions, used by millions of people and will solve complex problems including challenges like scalability, high availability, performance, optimization & automation. You will use best-in-class services and technologies, including AI-assisted development tools and agentic workflows, and will contribute to improving the technical stack. - Design and implement availability, scalability, and performance plans for the services environments - Continual re-evaluation of existing stack and infrastructure to maintain optimal performance, availability and security - Develop security capabilities and encourage adoption of security best practices and architecture changes throughout the company via evangelism and education - Take ownership of automating infrastructure deployment and configuration, lead the creation of CI/CD pipelines for applications, and develop CI/CD best practices across the team - Leverage AI coding assistants (e.g. Claude Code or similar harnesses) to accelerate infrastructure development, automate repetitive engineering tasks, and raise the team's overall velocity - Design, deploy, and scale autonomous or semi-autonomous agents to handle infrastructure operations, incident response, and internal tooling workflows - Perform development, automation, and deployment assignments without close supervision - Provide application development and cloud technology leadership, guidance, and assistance to other team members, including best practices for integrating AI tools into engineering workflows - Control costs and be able to propose and implement new solutions in coordination with dev teams PROFILE (MUST HAVE) - 5+ years of Linux experience including experience with scripting, networks, storage, and release - 3+ years building and maintaining continuous integration environments and working with AWS - 3+ years working with Kubernetes - Strong understanding of the infrastructure as code and immutability principles including Terraform - Experience with high traffic, distributed systems architectures, and related tools (service discovery, config/secret management, etc.) - Experience designing and managing AWS Landing Zone architectures (multi-account strategy, org-level guardrails, centralized networking/logging/security) - Experience in any scripting language (python, bash, …) - Practical experience incorporating AI-assisted coding tools or agentic frameworks (such as Cursor, Claude Code, or similar solutions) into production software development workflows - Ability to adapt to multiple stakeholders and demonstrate strong cross-teams cooperation PROFILE (NICE TO HAVE) - Supporting data pipeline orchestration (ETL, Spark, Airflow) - Running a distributed message broker at scale (Kafka, NATS) - Running GPU workloads on Kubernetes - Supporting ML workloads - Hands-on expertise in designing, deploying, and maintaining agentic systems in production environments (including multi-agent orchestration, tool integration frameworks, and comprehensive agent observability and monitoring) - Experience in golang is a plus OUR STACK AWS; Terraform; Kubernetes; Prometheus; ArgoCD; Circle-Ci; Github Actions; Atlantis; Grafana; Claude Code (or similar AI coding harnesses) BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Location: New York City Office Workplace: Hybrid COMPANY DESCRIPTION Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting. ROLE DESCRIPTION As a Sr. Forward Deployed Engineer, you’ll lead the design, delivery, and ongoing optimization of automation solutions for Tennr’s most complex customers: large-scale health systems, national provider groups, and enterprise partners. This is a highly technical, strategic, and customer-facing role that demands deep domain fluency, executive presence, and strong systems thinking. You’ll own enterprise-scale implementations end-to-end: from pre-sale discovery and business case alignment to go-live and expansion. You’ll act as both a trusted technical advisor and a project lead, working closely with senior customer stakeholders and cross-functional teams at Tennr to ensure lasting success. This role sits within a high-performance implementation pod and directly influences Tennr’s go-to-market and product strategy. RESPONSIBILITIES - Lead end-to-end enterprise implementations, from discovery to post-go-live - Align cross-functional teams and manage project delivery, risks, and change - Conduct operational audits to identify workflow gaps and automation opportunities - Design scalable, configurable solutions using Tennr’s platform and APIs - Reimagine processes with automation best practices, not just replicate legacy systems - Collaborate with Product, Engineering, and Sales to shape solutions and delivery scope - Maintain documentation, enable knowledge transfer, and improve internal delivery tools - Support sales strategy, mentor junior team members, and influence product roadmap QUALIFICATIONS - 4+ years of experience in enterprise SaaS delivery or solution design - A degree or minor in Computer Science, Engineering, or a related technical field is strongly preferred - Strong understanding of APIs, systems integration, and technical architecture - Proven ability to lead complex technical engagements with large enterprise customers - Skilled at communicating technical concepts to both executive and technical audiences - Experience navigating complex org structures and aligning cross-functional stakeholders - Strong problem-solving skills with a focus on strategic, scalable solutions - Business acumen and domain fluency — ideally in healthcare or similarly complex industries - Comfortable with ambiguity and fast-paced, unstructured environments - Demonstrated ability to mentor others and contribute to team-wide best practices - High ownership mindset and urgency — proactive, resourceful, and impact-driven Nice to Haves - Familiarity with workflow automation, RPA, or enterprise integration platforms (e.g., MuleSoft, Workato) - Background in consulting, solution architecture, or technical customer success - Experience in startup environments or scaling delivery functions WHY TENNR? - Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact. - Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure - Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system. - Build Relationships: collaborate and connect with like-minded, driven individuals in our Chelsea office 4 days/week - Free lunch! Plus a pantry full of snacks. BENEFITS - Beautiful new office at 345 Hudson Street - Unlimited PTO - 100% paid employee health benefit options - Employer-funded 401(k) match - Competitive parental leave

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Hardware Test Engineer (Manufacturing) to develop the automated test solutions that ensure every WHOOP device meets the highest standards of quality and reliability. You will drive manufacturing test strategy from early product development through mass production, developing test methodologies, electrical test systems, and automated test software that are deployed on manufacturing lines around the world. Working closely with Manufacturing Engineering, Electrical Engineering, Firmware, Mechanical Engineering, Quality Engineering, and the Manufacturing Platform Software team, you'll build scalable production test solutions that enable rapid product launches and world-class manufacturing quality. RESPONSIBILITIES: - Develop and implement manufacturing test solutions for products and subsystems, contributing to Design for Test (DFT) efforts throughout the product development lifecycle - Develop and validate test methodologies to achieve appropriate coverage, accuracy, repeatability, and robustness for production use - Design, build, and validate automated test equipment (ATE), electrical test systems, instrumentation, and control systems, and partner on the development of production test fixtures - Develop automated test software in Python to control instrumentation and validate electrical, functional, RF, and sensor performance in manufacturing - Collaborate with Hardware, Firmware, Manufacturing, Quality, and Mechanical Engineering teams to implement test requirements, improve test coverage, reduce cycle time, and increase manufacturing yield - Support factory bring-up and production activities with manufacturing partners, including fixture qualification, calibration, troubleshooting, root cause analysis, and continuous improvement of deployed test systems - Analyze manufacturing and test data using statistical methods to identify failure trends, evaluate test performance, and support improvements to product quality and manufacturing processes - Own test development projects and execute defined workstreams within larger product development programs, working with senior engineers to resolve complex technical challenges QUALIFICATIONS: - Bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical discipline - 2+ years of experience developing hardware test systems, automated test equipment, or manufacturing test solutions for consumer electronics or similar products - Strong fundamentals in electronics and experience working with laboratory instrumentation and communication protocols such as UART, I²C, SPI, USB, Bluetooth, or NFC - Understanding of metrology fundamentals, including measurement accuracy, repeatability, and calibration - Experience designing, building, or debugging electrical test systems, including schematics, test interface electronics, or PCBAs; experience with tools such as Altium Designer is a plus - Proficiency in Python and experience using software to automate hardware, instrumentation, or test processes; experience with C/C++ or other systems languages is a plus - Experience debugging hardware and software issues using structured problem-solving techniques - Experience analyzing engineering or manufacturing data to evaluate test performance and identify failure trends; familiarity with SPC and manufacturing process capability is a plus - Experience working in a manufacturing or production environment is preferred - Strong analytical, troubleshooting, and communication skills with the ability to collaborate effectively across multidisciplinary engineering teams - Ability to travel up to 15%, both domestically and internationally - Strong commitment to leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions 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 $120,000 - $160,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Remote - EMEA; France; Netherlands; Spain; Germany Workplace: Remote Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data. As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI. We're hiring a Senior Support Engineer to help customers run Qdrant's vector search engine reliably in production. You'll work Kubernetes-heavy, cloud-native environments every day, investigate hard technical issues, and turn what you learn into tools and workflows that make the whole support function faster. This is a chance to help shape a growing support team at an early-stage AI infrastructure company. WHAT YOU'LL OWN - Provide direct technical support to customers running Qdrant, mostly asynchronous rather than face to face. - Troubleshoot production issues across Kubernetes, cloud infrastructure, networking, storage, and the database layer. - Lead incident investigations and turn recurring problems into documented diagnostics and repeatable fixes, using AI-assisted tooling to speed up triage where it helps. - Partner with engineering and platform teams to resolve customer issues and feed learnings back into the product. - Build and maintain internal tools that make support workflows faster and more observable. - Write and maintain clear documentation for both customers and the internal team. - Lead by example through strong technical work, initiative, and collaboration with stakeholders across the company. Who You Are - 5 or more years in a customer-facing support or infrastructure role, ideally supporting production Kubernetes environments. - Strong, hands-on Kubernetes skills. A Certified Kubernetes Administrator (CKA) credential is a plus. - Proficient in Python or a similar language for scripting and automation. - Experience with Kafka or similar distributed systems. - Comfortable working in AWS, GCP, or Azure. - Solid understanding of database internals and how they behave under production load. - A proactive, ownership-driven mindset. You dig into ambiguous problems without waiting to be asked. - Clear communicator who can translate between technical and non-technical audiences. Nice to Have - Familiarity with vector search or vector database technologies. - Terraform and infrastructure-as-code experience. Security background is a plus. - Experience with observability tools (for example, Prometheus or Grafana) and automating support workflows. WHY JOIN US - A remote-first, international team working on cutting-edge AI infrastructure. - A competitive salary with additional perks. - Flexible working hours and async-friendly culture. - High ownership and real impact. - Open-source, engineering-driven culture. - Choose your own laptop equipment. For US-based full-time employees, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy. Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist. Come build with us! FOR INFORMATION ON HOW WE HANDLE YOUR PERSONAL DATA, PLEASE REFER TO OUR RECRUITMENT PRIVACY POLICY https://qdrant.tech/legal/recruitment-privacy-policy/ #LI-REMOTE

Location: Remote - United States Workplace: Remote Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data. As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI. We're looking for a Solutions Engineer to own the technical side of our enterprise deals, partnering with Account Executives as the technical authority rather than a supporting player. You'll lead the scoping, pricing, and deployment of semantic search, image and video search, and on-premise and edge deployment solutions for our most complex enterprise customers. This is a hands-on, customer-facing role for someone with real depth in solutions engineering who's ready to run high-stakes deals independently. What you will own: - Own Technical-to-Commercial Strategy: Translate complex architectural requirements (multi-AZ, sharding, replication) into accurate pricing models and contract terms, independently protecting deal value in high-stakes negotiations. - Drive Deal Execution End to End: Own the technical sales workflow across Support, Product, and Engineering to unblock POCs, resolving cross-functional bottlenecks without escalation. - Identify and Mitigate Deployment Risk: Proactively spot noisy neighbor issues, latency bottlenecks, and resource contention before they threaten renewals or expansions, and advise customers on architectural fixes. - Lead Architectural Reviews and Migration Assessments: Run discovery sessions solo, validate use cases, and design migration paths from legacy search engines like Elastic, Solr, and OpenSearch to Qdrant. - Design Resilient, Production-Grade Architecture: Spec high-availability search clusters that meet demanding customer SLAs and throughput requirements, including for the most technically complex accounts. - Own Client Trust at the Executive Level: Serve as the primary technical authority during evaluation, guiding customers to value quickly and acting as a long-term advisor beyond the initial sale. Who you are - 2-5 years of technical, customer-facing experience in Sales Engineering, Solutions Architecture, or Technical Consulting, with a track record of owning complex, high-value deals independently, including at least 2 years of direct, hands-on vector search experience (Qdrant, Pinecone, Weaviate, Zilliz/Milvus, or similar). Background in data science, computer engineering, or a previous DevOps/SRE role, with demonstrated depth rather than surface exposure is preferred. - Strong scripting ability in Python or Bash, used to build reusable tools and validate business value at scale, not just one-off scripts. - Fluency in calculating total cost of ownership (TCO) and estimating hardware requirements (RAM, CPU, disk) for distributed systems, including for multi-region or highly regulated deployments. - Deep expertise in Kubernetes and cloud platforms (AWS, GCP, or Azure), with a clear point of view on how infrastructure choices affect cost and performance at scale. - Excellent communication skills, comfortable running the room with engineers, VPs, and business stakeholders alike, and able to influence without authority across internal teams.   Preferred Qualifications - Exposure to enterprise procurement processes, infosec questionnaires, or MSA redlines.   WHY JOIN US - A remote-first, international team working on cutting-edge AI infrastructure. - A competitive salary with additional perks. - Flexible working hours and async-friendly culture. - High ownership and real impact. - Open-source, engineering-driven culture. - Choose your own laptop equipment. For US-based full-time employees, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy. Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist. Come build with us! FOR INFORMATION ON HOW WE HANDLE YOUR PERSONAL DATA, PLEASE REFER TO OUR RECRUITMENT PRIVACY POLICY https://qdrant.tech/legal/recruitment-privacy-policy/ #LI-REMOTE