Вакансии

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 Join Anthropic's Customer Success team in a high-visibility & high-impact role driving AI adoption across a small number of enterprise accounts in our Enterprise Tech segment. As our dedicated Customer Success Manager for Enterprise Tech Customers you’ll be their partner and trusted advisor helping them harness the full potential of all our Claude capabilities - API, Claude Code, Cowork, and other surface areas. You'll work with a book of global technology leaders to actively deploy AI and reshape the technology landscape. You’ll be working with key partners who are moving fast and pushing the boundaries of what's possible with LLM technology. Your role will entail developing genuine partnerships with the customer and key stakeholders, gaining a deep understanding of their multi-pronged business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team, you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage grows and evolves. Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. Responsibilities: Build trusting, strategic relationships with key customer decision makers in complex, matrixed organizations; understand their business and objectives and identify opportunities for optimization and expansion Own customer operations across the lifecycle of each account, maintaining a structured operational assessment (customer readiness, operational health, strategic alignment, enablement strategy, adoption intelligence) that grounds comprehensive account and success plans and Executive Business Reviews Become an expert in Anthropic's products across API, Claude Code and Cowork, understanding the technical nuances and best practices for each to guide customers to the right solutions Leverage your deep knowledge of each customer, and the patterns you see across your other Tech accounts, to proactively drive consumption planning and the value story behind it, developing credible ROI hypotheses and quantifying outcomes that build the case for continued and expanded investment. Monitor usage patterns and identify optimization opportunities across Claude surface areas (API, Claude Code, Cowork) to drive full value from contracted commitments Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement Ruthlessly prioritize across the account's many business units and workstreams, building programmatic, repeatable motions You may be a good fit if you have: 6+ years of experience in Customer Success, Technical Account Management, Solutions Engineering, or Strategy Consulting Experience working with F500 technology companies, SaaS platforms, or digital-first businesses at the exec level—ideally including high-growth and established tech companies. You understand what it means to lead organization-wide change or adoption programs (multiple functions, hundreds of users) for a product that requires C-suite sponsorship Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes — you can run multiple enterprise motions in parallel without letting any account go quiet. Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs Passion for AI and interest in responsible development of advanced systems. You have built with Claude Code, automating your own workflows with agents, skills, and tooling. A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $200,000 — $265,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 Accelerating scientific discovery is a core part of Anthropic's mission, and we believe the highest-leverage path to this is enabling researchers externally to use Claude effectively for their work. This involves communicating Claude’s rapidly improving scientific capabilities through outreach and editorial programs, as well as putting Claude in the hands of researchers through grants, ergonomic research tools, and access programs that help scientists do more with AI than was previously possible. We’re hiring a Technical Program Manager to be the bridge between the researchers advancing Claude’s scientific capabilities and the outside scientific community. Embedded with the Discovery team, you’ll conceptualize and run the programs that get Claude into scientists’ hands and shape the Anthropic Science Blog, working with Communications, Editorial, Beneficial Deployments, and external partners such as universities, funders, and scientific societies. This is a technical role, not a purely operational one. These programs already have strong operational and editorial owners. You bring research taste and a firsthand understanding of how academia works, so we’re looking for someone who has been a researcher themselves, ideally through a postdoc or beyond. You’ll have significant autonomy: once aligned with Discovery’s leads on strategy, you’ll drive decisions on what we fund, what we publish, and how we engage with academic communities Key responsibilities Act as the interface between research and the outside world. Stay close to the researchers working on Claude's scientific capabilities and translate rapid capability gain into use by external researchers. Help set Anthropic’s external science strategy. Recommend which scientific areas and communities we focus on, and how our programs, collaborations, and communications fit together Guide the scientific direction of the Anthropic Science Blog . Work with researchers and the Editorial team to identify and source stories internal and external stories worth telling, draft and edit posts, and keep a steady cadence of high-quality science writing. Drive forward external science programs. Design, launch, and run grants and access programs such as AI for Science grants and Team plan offerings for research groups, as well as partnerships with scientific foundations and grantmaking organizations. Work with Beneficial Deployments on programs aimed at the highest-impact scientific areas. Gather feedback from scientific communities. Identify usage patterns and gather feedback on how researchers use Claude and what capability gaps exist, and turn it into concrete recommendations for research and product teams. Minimum qualifications A PhD in a scientific or mathematical field, with a track record of original research Demonstrated writing ability for both scientific domain and general-interest audiences, with enough understanding of how modern AI models are trained to write about them accurately. Experience with the grants process, such as applying for and managing competitive funding, and ideally designing, reviewing, or administering funding programs Deep engagement with frontier AI: you use these tools in your own work, understand where they're strong and where they fail, and take seriously the possibility that AI will transform every face of the scientific process within the next few years Track record of driving multi-stakeholder projects to completion, and of coordinating people who are juggling other high-priority work. You’re resourceful, high-agency, and able to navigate ambiguity and shifting priorities. Credibility with researchers: you can talk to scientists as a peer and understand how academic communities work, including their incentives, norms, and sensitivities Fast learner who builds deep contextual understanding in unfamiliar scientific domains and can contribute meaningfully to discussions with researchers outside your own field. Preferred qualifications Experience as a program officer, program director, or fellowship lead at a science funder, research agency, or philanthropy Published science writing in outlets such as Quanta, Scientific American, or Physics Today, or a substantial public writing presence such as a blog or newsletter Research experience that uses AI or ML methods, or that involves building scientific software, tools, or datasets Experience building partnerships with scientific societies, journals, or research institutions Familiarity with AI safety and responsible deployment, including dual-use considerations in fields like biology Experience organizing conferences, workshops, or large coordinated launches 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: $365,000 — $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York; San Francisco Bay Area, California; Connecticut Workplace: hybrid Provectus is a Premier AWS Partner and an Anthropic Strategic Partner, featured in Forrester's AI Technical Services Landscape. We are roughly 420 engineers building production AI for enterprise clients in Financial Services, Insurance, Healthcare and Life Sciences, Retail, and Entertainment. We build custom generative AI and agentic AI systems on live client data, not off the shelf products and not demos. We are hiring a Senior Solution/Product Owner for our AI Delivery practice, a forward deployed seat at the intersection of frontier AI and enterprise transformation. You will own both the story and the delivery for client engagements built on Cowork Activation, Agentic SDLC with Claude Code, and Blueprint Activation. In one week you might frame an ROI case for a CFO, align a healthcare or financial services stakeholder on a compliant GenAI rollout, and pair with a Forward Deployed Engineer to wire an MCP integration or ship a Claude Code harness. What You Will Do: Own client engagements end to end, from use case framing and business case through scoped delivery, first deployment, and measurable results Define the value proposition, positioning, and reusable artifacts for your assigned Program or Blueprint, and align sales, delivery, and account teams around them Build business cases covering market fit, ROI, and competitive positioning, and translate them into scoped statements of work Run discovery, use case validation, design thinking workshops, and user research, and turn findings into demos and production deployments Stand up Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation on live client data, driving rapid prototyping from use case to context to result Build hands on with the Provectus delivery stack, including Claude, Claude Code, MCP servers, connectors, Skills, and plugins Define product vision and roadmap for GenAI, LLM, RAG, and agentic AI engagements, and judge solution quality alongside architects and engineers Break complex work into incremental releases, and balance delivery speed against technical debt and architecture Lead Agile and Scrum execution across backlog, sprint planning, and release, following our Sprint, Enable, Realize engagement model Define success metrics and analytics, and drive continuous improvement through root cause analysis Contribute to the measurement framework behind our board level AI Maturity Index, ROI signal, and cost read Support change management, stakeholder alignment, enablement, and reusable playbooks so wins repeat across accounts What You Will Bring: 5 to 7+ years in product ownership, solution ownership, technical product management, or delivery leadership 3 to 5+ years working with AI/ML, generative AI, LLM applications, agentic systems, or data platforms Deep domain expertise in Financial Services and Insurance and/or Healthcare and Life Sciences, ideally in a client facing or consulting context Track record operating forward deployed or embedded with clients, as a Forward Deployed Engineer or Forward Deployed Expert, including hands on prototyping Proven ability to take an offering, program, or product from zero to one and land it as real client delivery Daily working use of Claude, Claude Code, and similar GenAI tools, including building your own skills, workflows, and productivity tooling Comfort with MCP (Model Context Protocol) integrations, connectors, and custom agent harnesses Understanding of GenAI and agentic patterns, including prompt engineering, RAG, embeddings, vector databases, and agent frameworks, deep enough to assess quality and translate it for executive stakeholders Data fundamentals: what ETL/ELT, data modeling, and data governance mean in an enterprise context Familiarity with AWS as a primary cloud platform, including Bedrock, and working awareness of MLOps and AI observability Strong Agile and Scrum experience, and familiarity with outcome based, milestone priced consulting engagements Design thinking, data driven decision making, and executive storytelling that holds up in front of a CFO or CIO Enough engineering empathy to earn credibility with senior engineers and solutions architects on day one Bias to action and structured problem solving in ambiguity Based in the San Francisco Bay Area or New York City metro area, and authorized to work in the US without sponsorship Nice To Have: A second priority vertical beyond your primary Financial Services or Healthcare focus Prior experience in an AWS Premier Partner or Anthropic partner environment Claude Certified Architect, Seller, or Developer certification, or willingness to complete one early Certifications such as CSPO, SAFe PO/PM, or AWS, Azure, or GCP Software development or solutions engineering background What We Offer: Base salary range of $140,000 to $180,000 USD depending on experience Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare The chance to shape how leading enterprises adopt AI, from strategy through first deployment A forward deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Health, dental, vision, and 401(k) with company match Unlimited PTO Access to the latest AI tools and premium subscriptions Internal training programs with full support for AWS and Claude certifications Hybrid work in San Francisco or New York

Location: Remote - EMEA; Remote - France; Remote - Belgium Workplace: Remote Launched in 2019, Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains. As an Integration Engineer, you will improve the e-commerce experience for hundreds of millions of users across the world by serving as the technical advisor to e-commerce companies (our customers) on integrating their websites and mobile applications with Constructor's platform. You are the technical expert customers rely on for guidance on how to integrate, advising their engineering teams on the APIs, libraries, and configuration that make the integration successful.This includes: - Integration guidance. Working with customers to understand their architecture and goals and advising them on how to approach their technical integration in accordance with best practices. - API and library expertise. Advising customers on how to integrate with Constructor's APIs and open source libraries. - Technical advisory. Recommending proven technical approaches and informing integration decisions alongside the Technical Project Manager, Customer Success Manager, and other Engineering teams. - Index architecture. Guiding customers in structuring their product catalogs, including catalog data, facets, sort orders, and results. - Communication. Acting as the technical point of contact for customers and translating complex concepts into clear guidance. - Continuous improvement. Capturing what you learn across integrations to strengthen Constructor's documentation, onboarding, and best practices. Requirements - Experience in a customer-facing technical role such as solutions engineering, technical consulting, integration, or developer advisory work - Knowledge of REST-based web services, APIs, and integration best practices - Excellent communication and interpersonal skills, with the ability to explain complex technical concepts clearly to customer engineering teams and technical stakeholders - Detail-oriented with a commitment to guiding customers to high-quality outcomes - Strong problem-solving skills and a consultative approach to technical decision-making Preferred Qualifications - Familiarity with structured data formats (JSON, CSV) and core search/index concepts - Familiarity with debugging tools such as browser dev tools, API clients (e.g., Postman), or logs - Understanding of server side and client side contexts, and network request routing / HTTP - Familiarity working with open source libraries, JavaScript web application development, and integration patterns - Proficiency using AI tools to accelerate technical work, such as AI coding assistants and LLM-based debugging or documentation workflows Benefits - 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year - 🌎 Fully remote team - choose where you live - 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office - 💻 Apple laptops provided for new employees - 🧑‍🎓 Training and development budget for every employee, refreshed each year - 👪 Maternity & Paternity leave for qualified employees - 🧠 Work with smart people who will help you grow and make a meaningful impact - 💵 This position has a base salary range between $80k and $120k USD. The offer varies on many factors including job related knowledge, skills, experience, and interview results. - 🎉 Regular team offsites to connect and collaborate     Diversity, Equity, and Inclusion at Constructor At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.     How we handle your data By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice. After that period your data will be deleted or anonymized. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Customer Success Architect, you’ll be a strategic advisor to some of GitLab’s most important customers, helping them connect our DevSecOps platform to their business goals and realize meaningful, long-term outcomes. You’ll partner closely with customers after the sale to turn pre-sales command plans into concrete success plans, guide them along the customer journey, and drive hands-on enablement, adoption, utilization, and maturity. Reporting into a Senior Manager within our North America Customer Success organization, you’ll own a book of customers, act as their primary GitLab liaison for questions and escalations, and coordinate with Product Management, Engineering, Sales, Professional Services, and Support so customers can navigate complex technical and organizational challenges with confidence. You’ll use your understanding of Git, software development lifecycles, and continuous integration, continuous deployment, and DevSecOps practices to help customers adopt best practices and stay current with new GitLab capabilities. In your first year, success looks like building strong, consultative relationships with key stakeholders, increasing adoption of the GitLab platform, and strengthening retention, growth, and customer satisfaction across your portfolio. What you’ll do Partner with customers to translate pre-sales command plans and desired business outcomes into actionable objectives and clear success criteria. Guide customers on how to best use the GitLab platform, including common DevSecOps best practices, Git workflows, CI/CD, and adoption patterns. Own a book of customers and drive adoption, retention, expansion, and overall satisfaction through ongoing strategic and technical engagement. Build and maintain Customer Success Plans, define critical goals and key performance indicators, and track progress with customers over time. Act as the primary GitLab liaison for assigned accounts, coordinating responses to questions, issues, and escalations across Support, Product Management, Sales, and Professional Services. Provide hands-on technical enablement and onboarding, including education on new GitLab features, releases, and relevant use cases. Program manage account escalations, ensuring root causes are understood, follow-up actions are owned, and stakeholders are informed. Collaborate with Services and other internal teams to identify and recommend training, enablement, and maturity opportunities aligned to customer needs. What you’ll bring Practical understanding of Git, common branching strategies, and modern software development lifecycles. Working knowledge of continuous integration, continuous deployment, and DevSecOps practices. Experience partnering with customers to define business outcomes and translate them into actionable success plans, key goals, and measures. Background in customer success, post-sales, or professional services roles focused on adoption, retention, and satisfaction. Ability to manage a portfolio of customers, including handling escalations and coordinating across Support, Product Management, Sales, and Professional Services. Strong communication, presentation, and organizational skills, with attention to detail and analytical thinking. Experience planning and managing projects or initiatives in technical environments, including identifying training and enablement needs. Alignment with GitLab’s values and interest in applying transferable skills from related roles or industries, with flexibility to travel as needed according to company policy. About the team We are part of GitLab’s Customer Success organization. Our mission is to help customers align the GitLab platform with their business objectives through hands-on technical enablement, driving adoption, utilization, and DevSecOps maturity while building strong, consultative relationships. As Customer Success Architects, we act as trusted advisors and key liaisons between customers and the broader GitLab ecosystem, collaborating closely with Product Management, Engineering, Sales, Support, and Professional Services to address questions, guide roadmaps, and navigate escalations. We work in an all-remote, asynchronous way, coordinating across time zones to support a focused set of strategic accounts and ensure long-term customer success. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: San Francisco; New York City Workplace: Hybrid In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and a growing share of them meet us first on their phone. The Growth team owns the product loops that help people discover, adopt, and build lasting habits around our most important AI experiences — and on mobile that means owning everything from the App Store listing to the first task a user finishes to the moment they upgrade. As an Android growth engineer at Perplexity, you'll work across the full mobile funnel — install, activation, onboarding, push and lifecycle messaging, conversion, retention, and in-app purchase moments — for Perplexity, Comet, and Computer on Android. Engineers are responsible for end-to-end projects: rebuilding onboarding as a series of experiments, wiring in-app purchase and paywall surfaces to our billing systems, shipping notification experiences people actually keep enabled, and turning ASO and deep-link work into measurable adoption. Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product — we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end, while respecting the constraints mobile brings: release cycles, store review, and version fragmentation. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and own growth surfaces across the mobile funnel — install, activation, onboarding, lifecycle, conversion, retention, and paid upgrade moments — on Android. - Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel despite app release cadence. Build the flag-driven and server-driven patterns that let us test without waiting on a store release. - Own in-app purchase and paywall surfaces: billing integrations, subscription and credit purchase flows, entitlement correctness, and pricing and packaging experiments. - Build push and lifecycle notification experiences that earn their opt-in — permission prompts, targeting, timing, deep links back into the right task, and the instrumentation to prove they drive retention rather than churn. - Make cross-platform surfaces feel native. Partner with web and design engineers so onboarding, upsells, and in-task nudges are consistent across web, iOS, and Android - Partner with rest of Growth to optimize app store performance and attribution - Hill-climb on the metrics that matter: install-to-activation, D1/D7/D30 retention, notification opt-in and engagement, paid conversion, and habit formation, instrumented with clean data and trustworthy experiment readouts. - Partner closely with Product, Design, Data Science, Monetization, Marketing, and the core Mobile team to translate behavioral signals into durable product surfaces. QUALIFICATIONS - 3+ years of professional mobile engineering experience shipping consumer apps at meaningful scale on Android. - Strong native skills — Kotlin/Jetpack Compose — and the willingness to flex into other parts of the stack to unblock yourself and others. - Experience owning a full release cycle: build and release tooling, phased rollouts, store review, crash and regression monitoring, and rolling back safely. - Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome. - Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents) especially inside a versioned app. - Comfort data-informed decision-making — you can pull, segment, and interpret your own funnel data. - Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions. - Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - Direct experience on a growth or experimentation-heavy team - Deep experience with in-app payments - Experience with mobile attribution and measurement stacks (AppsFlyer, Adjust, Branch) and paid mobile acquisition. - ASO experience, including store listing experiments and localized metadata. - Comfort reaching into the backend or web stack to unblock yourself end-to-end. - Time spent at a fast-growing startup or on a high-ownership engineering team.

Location: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and a growing share of them meet us first on their phone. The Growth team owns the product loops that help people discover, adopt, and build lasting habits around our most important AI experiences — and on mobile that means owning everything from the App Store listing to the first task a user finishes to the moment they upgrade. As a mobile growth engineer at Perplexity, you'll work across the full mobile funnel — install, activation, onboarding, push and lifecycle messaging, conversion, retention, and in-app purchase moments — for Perplexity, Comet, and Computer on iOS. Engineers are responsible for end-to-end projects: rebuilding onboarding as a series of experiments, wiring in-app purchase and paywall surfaces to our billing systems, shipping notification experiences people actually keep enabled, and turning ASO and deep-link work into measurable adoption. Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product — we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end, while respecting the constraints mobile brings: release cycles, store review, and version fragmentation. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution, and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and own growth surfaces across the mobile funnel — install, activation, onboarding, lifecycle, conversion, retention, and paid upgrade moments — on iOS. - Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel despite app release cadence. Build the flag-driven and server-driven patterns that let us test without waiting on a store release. - Own in-app purchase and paywall surfaces: billing integrations, subscription and credit purchase flows, entitlement correctness, and pricing and packaging experiments. - Build push and lifecycle notification experiences that earn their opt-in — permission prompts, targeting, timing, deep links back into the right task, and the instrumentation to prove they drive retention rather than churn. - Make cross-platform surfaces feel native. Partner with web and design engineers so onboarding, upsells, and in-task nudges are consistent across web, iOS, and Android - Partner with rest of Growth to optimize app store performance and attribution - Hill-climb on the metrics that matter: install-to-activation, D1/D7/D30 retention, notification opt-in and engagement, paid conversion, and habit formation, instrumented with clean data and trustworthy experiment readouts. - Partner closely with Product, Design, Data Science, Monetization, Marketing, and the core Mobile team to translate behavioral signals into durable product surfaces. QUALIFICATIONS - 3+ years of professional mobile engineering experience shipping consumer apps at meaningful scale on iOS. - Strong native skills (eg. Swift/SwiftUI/Objective-C) — and the willingness to flex into other parts of the stack to unblock yourself and others. - Experience owning a full release cycle: build and release tooling, phased rollouts, store review, crash and regression monitoring, and rolling back safely. - Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome. - Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents) especially inside a versioned app. - Comfort data-informed decision-making — you can pull, segment, and interpret your own funnel data. - Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions. - Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - Direct experience on a growth or experimentation-heavy team - Deep experience with in-app payments - Experience with mobile attribution and measurement stacks (AppsFlyer, Adjust, Branch) and paid mobile acquisition. - ASO experience, including store listing experiments and localized metadata. - Comfort reaching into the backend or web stack to unblock yourself end-to-end. - Time spent at a fast-growing startup or on a high-ownership engineering team.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. The Customer Experience team at 1Password designs digital-first experiences that help customers deploy, activate, and grow with confidence. Our goal is to create scalable programs that guide customers to the right next step at the right moment, improving product adoption, reducing friction, and supporting long-term customer outcomes. As a Senior Digital Customer Success Campaign Manager, you will own and evolve our digital customer success programs across the customer lifecycle. You will design, build, and optimize targeted digital journeys that help customers move from onboarding through activation and beyond. This role blends program strategy, campaign execution, analytics, experimentation, and cross-functional collaboration to deliver measurable customer impact at scale. This is an individual contributor role for someone who enjoys building programs from the ground up, working through ambiguity, and improving digital-first customer experiences in a fast-changing environment. Reporting into the Senior Manager, Digital Customer Success, this is a remote role within North America. How we’re using AI today Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here.   Note: All go-to market roles will have an in-person onboarding in Toronto. What we're looking for: - 6+ years of experience in Digital Customer Success, Customer Marketing, Lifecycle Marketing, Growth Operations, Customer Success Operations, Product-Led Growth, or a related Software as a Service environment. - Demonstrated success building and owning lifecycle or digital success programs with measurable business impact. - Experience creating scalable campaigns, workflows, or journeys rather than managing a book of business. - Strong understanding of the customer lifecycle, including onboarding, activation, adoption, retention, expansion, renewal, and risk management motions. - Ability to interpret customer and product signals, identify patterns, and translate them into clear campaign strategies and measurable interventions. - Strong written and verbal communication skills, with the ability to create concise, effective messaging for different customer audiences and personas. - Hands-on experience with tools such as Gainsight, Salesforce, Marketo, Outreach, or similar customer success and marketing automation platforms. - Experience collaborating across Customer Success, Product, Support, Operations, Marketing, Content, and Data teams to ensure alignment across the customer journey. - Comfort working in changing environments where teams are building new programs, processes, and operating models from the ground up. - Preferred: experience using Artificial Intelligence tools to support program design, experimentation, and campaign optimization; experience with 1Password and/or cybersecurity is also valued. What you can expect: - Design, launch, and improve digital customer success campaigns and programs across onboarding, activation, adoption, and growth stages. - Build scalable customer journeys that help customers reach key milestones using content-led interventions and targeted human engagement when needed. - Identify customer signals, behaviors, milestones, and friction points that indicate progress, risk, or opportunity across the lifecycle. - Translate customer and product insights into triggered programs and campaigns that guide customers to the right next step using existing resources and tools. - Draft, edit, and optimize customer-facing communications, including email campaigns, journey messaging, and supporting content. - Monitor program performance using metrics such as activation, deployment, engagement, retention, expansion, churn, and content interaction to evaluate effectiveness. - Use testing methods such as A/B testing, cohort analysis, and message iteration to improve campaign tone, timing, targeting, and outcomes. - Partner with Data, Product, Customer Success Operations, Customer Experience Content, and Voice of Customer teams to align digital programs with customer insights and business priorities. - Build dashboards and reporting to track program health, surface insights, and recommend improvements to digital-first customer experiences. - Use Artificial Intelligence tools and emerging technologies to accelerate campaign creation, analysis, experimentation, and optimization. USA-based roles only: The annual base salary for this role is between $121,000 USD and $146,500 USD. This role is also immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $104,000 CAD and $139,000 CAD. This role is also eligible for immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.   This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Lithuania Workplace: Hybrid ABOUT US 20M+ users, millions of gaming adventures, and we're just getting started. 🎮 At Eneba, we're building a marketplace where gamers around the world can discover great deals, explore new experiences, and shop with confidence. We've grown fast, we're thinking even bigger, and there's plenty more to build. Behind all of that? Our people. And that's where you come in. ABOUT THE TEAM Great people build great things. Our job? Make sure they have a great place to do it. Our People team works across the entire employee journey, from that first "Hey, welcome to Eneba!" to career growth, engagement, rewards, and everything in between. Now we're looking for someone who gets excited about numbers, fairness, and making things better. Someone who can turn compensation data into smart decisions, bring fresh ideas to the table, and help us build People practices that actually work as we scale. And while Total Rewards will be your starting playground, there's plenty of room to get involved in broader People initiatives along the way. ABOUT YOU You love digging into data, spotting patterns, and turning complicated numbers into simple, meaningful decisions. You know your way around the Lithuanian talent market, aren't afraid to challenge the status quo (with facts to back you up!), and believe that fair and transparent People practices make a real difference. Most importantly, you're a builder at heart. You'd rather improve a process than follow it just because "that's how we've always done it." Sounds like you? Keep reading! WHAT YOU'LL DO - Be the mastermind behind our Total Rewards. Own and develop our approach to salaries, bonuses, equity (ESOP), benefits, learning budgets, and other perks. - Bring structure to the numbers. Build and maintain job levels, salary bands, and market benchmarks that help us stay fair and competitive. - Make reward cycles run like clockwork. Partner with Finance and People Partners to drive salary reviews, promotions, and bonus cycles. - Keep things fair (and make the numbers make sense). Review offers and compensation changes, balancing internal equity, market competitiveness, and budgets. - Make the perks worth talking about. Manage and improve our benefits offering. - Turn data into decisions. Create meaningful reports, dashboards, and cost forecasts that help leaders make smarter People decisions. - Make the complicated feel simple. Build clear policies, guides, and total rewards statements so everyone understands what they're getting and why. - Grow beyond the numbers. Expand your impact by contributing to broader People programs and initiatives. WHAT YOU'LL BRING - 2+ years of experience in Compensation & Benefits, Total Rewards, or a similar analytical People/HR role. - Hands-on experience with salary benchmarking, compensation structures, salary reviews, or bonus cycles. - Strong analytical skills and the ability to make Excel or Google Sheets do some pretty impressive things. - A good understanding of the Lithuanian employment and compensation landscape. - Confidence to work with stakeholders, ask the right questions, and challenge decisions constructively. - A strong sense of fairness, attention to detail, and the ability to handle sensitive information with care. - Fluency in both Lithuanian and English. Salary: EUR 39600 – 55200 gross a year Salary ranges may vary. We're seeking candidates with varied experience levels; from individual contributors to functional leaders in this space. We're an international team and our business language of choice is English. Good English level is required, proficiency is preferred. To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice: https://www.eneba.com/candidate-privacy-notice What it's like to work at Eneba - Opportunity to join our Employee Stock Options program. - Opportunity to help scale a unique product. - Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. - Paid volunteering opportunities. - Work location of your choice: office, remote, opportunity to work and travel. - Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.

Location: Ireland, Dublin Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Engineering Manager – Enterprise Data Engineering We are looking for an experienced Engineering Manager to lead a team of Enterprise Data Engineers delivering trusted, scalable and reusable data capabilities across Sony Interactive Entertainment (SIE). The role combines people leadership, technical direction, delivery ownership and operational accountability for enterprise data products, pipelines and integrations. Working with global engineering, architecture, platform, security and business teams, you will enable enterprise priorities spanning Finance, Supply Chain, IT Operations, People & Places and Sales & Operations. You will balance transformation delivery with the reliability, maintainability and continuous improvement of existing data services. Responsibilities Lead, coach and grow the engineering team · Manage performance, development, recruitment and succession; create clear goals, regular feedback and meaningful career plans. · Build a culture of ownership, inclusion, engineering discipline, collaboration and continuous learning. · Provide hands-on technical guidance when needed while delegating decisions and developing senior engineering capability. Own delivery, capacity and execution · Translate enterprise roadmaps into executable plans, milestones, dependencies and measurable outcomes; balance project commitments with run-the-business obligations. · Proactively forecast capacity and skills needs, allocate resources, manage competing priorities and identify delivery trade-offs. · Maintain clear visibility of progress, blockers and risks; escalate early with options and recommendations, and communicate confidently to leadership and stakeholders. · Drive predictable delivery through appropriate agile practices, estimation, design reviews, testing, release management and continuous improvement. Provide technical leadership for enterprise data engineering · Guide architecture and implementation of secure, scalable batch and streaming ingestion, ETL/ELT pipelines, transformations and enterprise integrations. · Champion maintainable engineering patterns across Snowflake, Databricks, Python/PySpark, SQL, dbt and relevant orchestration and integration technologies. · Ensure data models and domain-owned data products are reusable, discoverable, documented and aligned with enterprise standards. · Embed source control, peer review, automated testing, CI/CD, infrastructure-as-code where appropriate, and sound software engineering practices. Own operational quality and production readiness · Be accountable for service reliability, observability, data freshness, data quality, lineage, access controls and operational support for team-owned pipelines and products. · Establish effective monitoring, alerting, incident response, root-cause analysis, recovery procedures and reduction of recurring support effort. · Partner with platform, architecture, security and governance teams on production readiness, privacy, compliance, cost and performance optimisation. Partner across the enterprise · Work with domain and transformation leaders to understand business outcomes, shape requirements and prioritise sustainable data engineering solutions. · Coordinate dependencies with data platform, analytics, AI/ML, application and infrastructure teams to enable end-to-end delivery. · Represent the team’s architecture, products, delivery status, risks and impact in technical and executive forums. Skills and Qualifications · 3+ years of people management or engineering leadership experience, including performance management, coaching and leading delivery teams. · 8+ years of relevant software, data platform or data engineering experience, with demonstrated ownership of production-grade enterprise data solutions. · Strong understanding of data architecture, ETL/ELT, data warehousing/lakehouse patterns, dimensional modelling, data contracts and reusable data products. · Practical technical experience with SQL and Python; strong familiarity with Snowflake, Databricks and PySpark, and experience with dbt or comparable transformation frameworks. · Experience with orchestration, API/file-based integrations, cloud services (preferably AWS), Git-based development, automated testing and CI/CD. · Experience operating business-critical data pipelines, including monitoring, incident management, data quality, security and performance optimisation. · Ability to plan team capacity, manage a portfolio of priorities, resolve cross-team dependencies and provide transparent, proactive delivery reporting. · Excellent stakeholder management and communication skills across engineering, business and senior leadership; undergraduate degree or equivalent experience. Desirable Experience ·  Enterprise Finance or Supply Chain data, including SAP and planning-system integrations (such as Anaplan or Adaptive). · Data governance, metadata/lineage, master data, privacy classification and regulated or sensitive enterprise datasets. · Enabling analytics, machine learning or AI-ready data products and applying AI-assisted engineering practices responsibly. · Working with geographically distributed teams and large-scale enterprise transformation programmes. Salary: €101,000 - €151,400 Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: United States, San Diego, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. The Senior People Technology Solutions Lead is a senior individual contributor responsible for advancing the technology capabilities that support SIE's global People organization. Grounded in People Technology and enterprise HR systems, this role combines a strong understanding of HR processes, platforms, data, integrations, and employee experiences with expertise in emerging technologies such as generative AI, AI agents, agentic orchestration, APIs, Model Context Protocol (MCP), automation, and AI-assisted development. Reporting to the Senior Director of People Technology Services, this role serves as a technical practice lead for innovation within PTS. The Principal Platform Engineer works across HRIS, integrations, reporting and analytics, service delivery, and other People Technology areas to identify opportunities, establish technical direction, develop use cases, and turn emerging capabilities into practical solutions. Success requires strong partnership across organizational boundaries. The role works closely with People & Places as PTS's key business stakeholder, understanding priorities and identifying opportunities where technology can improve employee experience, service delivery, efficiency, and insight. At the same time, the role connects PTS with the broader IT strategy and enterprise technology capabilities in areas such as AI and agents, service management, low-code development, data, integration, security, and architecture. This is a hands-on senior technical role as well as an influential one. The Principal Platform Engineer operates with a strong bias for action, using Agile and iterative approaches to quickly turn ideas into learning and business value. Depending on the problem, that may mean developing a technical position or white paper, rapidly building a prototype or proof of concept, or incrementally evolving a solution toward production. The emphasis is on testing ideas early, learning from evidence, and continuously refining the approach while helping colleagues across PTS build the skills and confidence to use emerging technologies effectively. Key Responsibilities People Technology Strategy & Innovation Serve as a technical practice lead for emerging technology within PTS, helping establish direction for the practical and responsible adoption of AI, automation, orchestration, application extension, and other new capabilities. Apply broad knowledge of HR technology, HR processes, workforce data, integrations, reporting, security, and service delivery when identifying opportunities and shaping solutions. Translate developments in enterprise technology, vendor roadmaps, and internal capabilities into practical People Technology use cases, technical positions, and actionable recommendations. Identify opportunities across PTS where technology can reduce repetitive operational work, improve quality and employee experience, increase insight, or enable the team to focus greater capacity on higher-value activities. Establish reusable approaches and solution patterns that allow successful ideas to scale across PTS rather than remaining isolated experiments. AI, Automation & Agile Solution Delivery Provide hands-on technical leadership for solutions using generative AI, AI agents, agentic workflows, APIs, MCP, workflow orchestration, automation, Codex, low-code technologies, and other emerging capabilities. Use rapid prototyping and iterative delivery to test assumptions, demonstrate possibilities, gather feedback, and reduce uncertainty before committing to larger investments. Break complex opportunities into smaller, testable increments that can demonstrate value quickly and inform subsequent decisions and development. Lead technical design for complex or cross-platform solutions, evaluating build, buy, extend, integrate, automate, and orchestrate options based on business value, feasibility, architecture, security, user experience, and sustainability. Apply appropriate AI patterns including grounding and retrieval, context management, tool calling, structured outputs, evaluation, guardrails, observability, and human oversight. Lead or contribute directly to prototypes, proofs of concept, and production implementations, remaining sufficiently hands-on to validate ideas and solve difficult technical problems. Use evidence from prototypes, experiments, and delivered capabilities to determine whether to iterate, scale, change direction, or stop. Partnership & Enterprise Collaboration Partner with People & Places leaders and teams to understand priorities, challenges, and opportunities and translate them into potential technology-enabled outcomes. Connect PTS strategy and use cases with the broader IT technology strategy , identifying where enterprise platforms and shared capabilities can accelerate or improve People Technology solutions. Collaborate with teams responsible for capabilities such as enterprise service management and employee-service experiences (e.g., ServiceNow), AI agents and conversational experiences (e.g., Moveworks), low-code development and workflow automation (e.g., Microsoft Power Platform), enterprise AI platforms, data, integration, security, and architecture. Act as a boundary spanner across business and technology organizations, bringing together the appropriate expertise and capabilities to address opportunities that cross organizational or platform boundaries. Represent the particular needs of People Technology, including sensitive workforce data, complex HR processes, employee experience, and regulatory considerations, while promoting reuse of enterprise capabilities and alignment with broader technology standards. Influence, Adoption & Practice Development Establish a clear technical point of view through recommendations, white papers, presentations, prototypes, and well-led discussions that result in decisions and action. Bring structure and direction to complex technology discussions, clearly communicating options and tradeoffs and adapting technical detail to the audience and decision required. Build adoption of new tools and approaches across PTS through demonstrations, coaching, reusable examples, documentation, mentoring, and hands-on collaboration. Mentor team members and increase broader PTS capability in AI, automation, APIs, orchestration, solution design, and modern technology practices. Act as an agent of change, helping colleagues understand why new approaches matter, demonstrating their value through practical application, and supporting adoption as successful capabilities become part of everyday delivery. Ensure solutions meet SIE expectations for architecture, security, privacy, data protection, responsible AI, auditability, human oversight, and production support. Measure success not only through individual delivery, but through adoption, reusable capability, measurable business outcomes, reduced operational effort, and increased capacity for higher-value work. Required Qualifications 10+ years of experience across enterprise technology, application development, automation, HR technology, digital transformation, platform development, or technology consulting, with significant experience delivering complex technology solutions. Demonstrated hands-on experience designing and delivering solutions using generative AI, automation, APIs, integrations, workflow technologies, or modern application-development approaches. Demonstrated experience taking emerging technology from concept or proof of value through iterative development, production implementation, adoption, and ongoing operation. Strong practical understanding of generative AI and agentic architectures, including agents, orchestration, grounding and retrieval, tool use, APIs, evaluation, guardrails, human oversight, and production considerations. Experience leading complex technical initiatives that span systems, teams, or organizational boundaries and influencing outcomes without relying on direct management authority. Demonstrated ability to evaluate technology options, establish a clear point of view, and translate that thinking into recommendations, technical positions, prototypes, designs, or delivered solutions. Working knowledge of enterprise HR technology and HRIS concepts, including workforce data, business processes, integrations, reporting, security, and handling sensitive employee information. Demonstrated experience using Agile and iterative development approaches, including rapid prototyping and experimentation, to reduce uncertainty and progressively deliver business value. Strong communication and facilitation skills, with the ability to explain complex technology to technical, business, and leadership audiences and drive discussions toward decisions and outcomes. Demonstrated ability to mentor others, share expertise, and increase technical capability beyond one's own individual contribution. Preferred Qualifications Experience working in People Technology, HR Technology, or HRIS within a complex global enterprise environment. Experience with enterprise architecture, API ecosystems, cloud services, integration platforms, RAG, vector search, observability, or AI evaluation frameworks. Experience with Workday HCM, Workday integrations, Workday APIs, Workday Orchestrate, Workday Extend, or comparable enterprise HR platforms and extension capabilities. Experience developing AI agents, multi-step agentic workflows, or enterprise orchestration solutions. Experience with Model Context Protocol (MCP) or comparable approaches for securely connecting AI models and agents with enterprise tools and information. Experience with AI-assisted software development and coding agents (e.g., Codex). Experience with enterprise service management and workflow platforms (e.g., ServiceNow). Experience with enterprise AI agent or conversational platforms (e.g., Moveworks). Experience with low-code application development and workflow automation platforms (e.g., Microsoft Power Apps and Power Automate). Experience applying security, privacy, responsible AI, data governance, monitoring, or evaluation controls to enterprise AI and automation solutions. Profile The successful candidate will: Be a boundary-spanning technical leader who connects People Technology priorities with capabilities and expertise across the organization and influences outcomes through credibility rather than formal authority. Maintain a strong bias for action and learning , using rapid experimentation and iterative delivery to create momentum and learn from evidence while applying appropriate rigor based on risk and complexity. Remain hands-on , moving comfortably between technical strategy and practical execution, including prototypes, solution design, architecture, and difficult technical problems. Build a practice, not a dependency , increasing the ability of others to identify opportunities and use emerging technologies rather than becoming the person who must personally own every innovative solution. Turn knowledge into influence and action through clear recommendations, white papers, presentations, prototypes, experimentation, and disciplined discussions that lead to decisions and delivery. Be technology curious, but not technology led , embracing AI, agents, Codex, MCP, APIs, orchestration, low-code platforms, and emerging technologies while beginning with the problem and desired outcome. Understand People Technology , recognizing the intersection of complex HR processes, sensitive workforce data, employee experience, integrations, controls, and global requirements. Be a multiplier , with impact demonstrated through both personal delivery and increased capability, productivity, innovation, and insight across PTS. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $169,400 — $254,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote - AMER; Remote - Argentina; Remote - Uruguay; Remote - Colombia; Remote - Canada; Remote - Brazil Workplace: Remote About the Position Launched in 2019, Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains. As a Technical Integration Specialist, you will improve the e-commerce experience for hundreds of millions of users across the world by serving as the technical advisor to e-commerce companies (our customers) on integrating their websites and mobile applications with Constructor's platform. You are the technical expert customers rely on for guidance on how to integrate, advising their engineering teams on the APIs, libraries, and configuration that make the integration successful. This includes: - Integration guidance. Working with customers to understand their architecture and goals and advising them on how to approach their technical integration in accordance with best practices. - API and library expertise. Advising customers on how to integrate with Constructor's APIs and open source libraries. - Technical advisory. Recommending proven technical approaches and informing integration decisions alongside the Technical Project Manager, Customer Success Manager, and other Engineering teams. - Index architecture. Guiding customers in structuring their product catalogs, including catalog data, facets, sort orders, and results. - Communication. Acting as the technical point of contact for customers and translating complex concepts into clear guidance. - Continuous improvement. Capturing what you learn across integrations to strengthen Constructor's documentation, onboarding, and best practices. Requirements - Experience in a customer-facing technical role such as solutions engineering, technical consulting, integration, or developer advisory work - Knowledge of REST-based web services, APIs, and integration best practices - Excellent communication and interpersonal skills, with the ability to explain complex technical concepts clearly to customer engineering teams and technical stakeholders - Detail-oriented with a commitment to guiding customers to high-quality outcomes - Strong problem-solving skills and a consultative approach to technical decision-making Preferred Qualifications - Familiarity with structured data formats (JSON, CSV) and core search/index concepts - Familiarity with debugging tools such as browser dev tools, API clients (e.g., Postman), or logs - Understanding of server side and client side contexts, and network request routing / HTTP - Familiarity working with open source libraries, JavaScript web application development, and integration patterns - Proficiency using AI tools to accelerate technical work, such as AI coding assistants and LLM-based debugging or documentation workflows Benefits - 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year - 🌎 Fully remote team - choose where you live - 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office - 💻 Apple laptops provided for new employees - 🧑‍🎓 Training and development budget for every employee, refreshed each year - 👪 Maternity & Paternity leave for qualified employees - 🧠 Work with smart people who will help you grow and make a meaningful impact - 💵 This position has a base salary range between $80k and $120k USD. The offer varies on many factors including job related knowledge, skills, experience, and interview results. - 🎉 Regular team offsites to connect and collaborate Diversity, Equity, and Inclusion at Constructor At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.     How we handle your data By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice. After that period your data will be deleted or anonymized. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: Remote - AMER; Remote - Argentina; Remote - Uruguay; Remote - Colombia; Remote - Canada; Remote - Brazil Workplace: Remote Launched in 2019, Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains. As an Integration Engineer, you will improve the e-commerce experience for hundreds of millions of users across the world by serving as the technical advisor to e-commerce companies (our customers) on integrating their websites and mobile applications with Constructor's platform. You are the technical expert customers rely on for guidance on how to integrate, advising their engineering teams on the APIs, libraries, and configuration that make the integration successful.This includes: - Integration guidance. Working with customers to understand their architecture and goals and advising them on how to approach their technical integration in accordance with best practices. - API and library expertise. Advising customers on how to integrate with Constructor's APIs and open source libraries. - Technical advisory. Recommending proven technical approaches and informing integration decisions alongside the Technical Project Manager, Customer Success Manager, and other Engineering teams. - Index architecture. Guiding customers in structuring their product catalogs, including catalog data, facets, sort orders, and results. - Communication. Acting as the technical point of contact for customers and translating complex concepts into clear guidance. - Continuous improvement. Capturing what you learn across integrations to strengthen Constructor's documentation, onboarding, and best practices. Requirements - Experience in a customer-facing technical role such as solutions engineering, technical consulting, integration, or developer advisory work - Knowledge of REST-based web services, APIs, and integration best practices - Excellent communication and interpersonal skills, with the ability to explain complex technical concepts clearly to customer engineering teams and technical stakeholders - Detail-oriented with a commitment to guiding customers to high-quality outcomes - Strong problem-solving skills and a consultative approach to technical decision-making Preferred Qualifications - Familiarity with structured data formats (JSON, CSV) and core search/index concepts - Familiarity with debugging tools such as browser dev tools, API clients (e.g., Postman), or logs - Understanding of server side and client side contexts, and network request routing / HTTP - Familiarity working with open source libraries, JavaScript web application development, and integration patterns - Proficiency using AI tools to accelerate technical work, such as AI coding assistants and LLM-based debugging or documentation workflows Benefits - 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year - 🌎 Fully remote team - choose where you live - 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office - 💻 Apple laptops provided for new employees - 🧑‍🎓 Training and development budget for every employee, refreshed each year - 👪 Maternity & Paternity leave for qualified employees - 🧠 Work with smart people who will help you grow and make a meaningful impact - 💵 This position has a base salary range between $80k and $120k USD. The offer varies on many factors including job related knowledge, skills, experience, and interview results. - 🎉 Regular team offsites to connect and collaborate Diversity, Equity, and Inclusion at Constructor At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.     How we handle your data By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice. After that period your data will be deleted or anonymized. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: Remote - United States What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: As we continue to strengthen alignment across our go-to-market teams, we're focused on building a more connected approach to how we measure, analyze, and forecast performance across the full customer journey, from the first website visit through sales engagement to closed-won revenue. This new role, within our Revenue Operations team, will help bring that vision to life by creating a clear, shared view of the funnel that marketing, sales, customer success, and leadership can use to make more informed decisions. As a new role, you'll have the opportunity to shape how we work, partnering closely with marketing, RevOps, and the broader revenue organization to improve visibility, forecasting, and accountability across the business. What you’ll do in the role: Build full-funnel reporting that connects marketing activity in tools like HubSpot to opportunities and closed-won business in Salesforce, and make it visible to executives and teams across the organization Work with marketing and sales to define and document how attribution works, including what “influenced” versus “marketing-sourced” means and how leads are tagged as marketing-led, sales-led, or SDR-led Partner with marketing on lead scoring and how leads flow into Salesforce Improve how we measure campaign ROI so teams can see what worked, double down, and shift spend away from what didn’t Work with marketing and go-to-market teams to agree on shared metric definitions, and publish them as a single source of truth Build reports and dashboards with AI tools, refine them with stakeholder feedback, and publish final versions to our BI tool on a regular refresh schedule Dig into the data, including with AI, to surface patterns and insights nobody has asked about yet What you’ll bring to the role: About 3 to 5 years of experience, ideally in marketing, revenue operations, or a multi-hat go-to-market role Strong analytical skills, with hands-on experience in Excel and BI tools Working knowledge of marketing concepts and terms, such as MQLs The interpersonal skills to negotiate shared definitions across teams with different perspectives Curiosity about AI and how to use it in your analysis Experience in a SaaS environment Bonus: the ability to read SQL (writing it is not required) Base Salary based on level of experience $125,500 — $147,600 USD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the runtime systems of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building low-latency, high-throughput systems that serve search queries in real time. You will work on the critical path of user-facing requests, where performance, predictability, and efficiency directly impact product quality. You will design and operate systems that handle thousands of requests per second under strict latency budgets, optimising every layer from request handling to data access and response assembly. In this position, your responsibility will be to Design, implement, and operate core runtime services for serving search queries at scale Build and optimise request flows, including query processing, retrieval orchestration, and response assembly under strict latency budgets Develop systems that maintain performance and predictability under high load Optimise CPU, memory, and data access patterns in performance-critical paths Ensure reliability, observability, and predictability across production services Build well-tested systems with clear responsibilities and interaction contracts, while remaining flexible as architecture evolves Define and implement observability primitives, including structured logs, metrics, traces, and latency breakdowns Monitor throughput, latency, and resource usage, and drive improvements in performance and cost efficiency Collaborate with indexing and ML teams to integrate retrieval and ranking components, keeping ML logic decoupled from core system internals Support experimentation and iteration through controlled rollouts and rigorous benchmarking You may be a good fit if you: Have 8+ years of experience as a software engineer working on production backend systems Have strong hands-on expertise in C++ or Rust in real-world, high-load services Have built and operated high-load, low-latency user-facing systems handling thousands of RPS under strict latency constraints Understand performance at a systems level — CPU, memory, networking, and data access Have operated your own code in production: deployed it, debugged incidents, and rolled back changes when necessary Think end-to-end about request flows rather than staying within isolated components Can balance correctness, latency, and development velocity, making pragmatic tradeoffs when scope or time requires Collaborate effectively across engineering, ML, and product teams, communicating clearly in cross-functional settings Strong candidates may also have experience with: DBMS internals (open source or SaaS) and cloud infrastructure High-load web applications or large-scale APIs Performance-critical systems such as trading platforms or real-time data pipelines Low-level performance tuning and hardware-level optimisation Open-source contributions or active involvement in the engineering community Competitive programming or CTF participation SHAD or similar advanced technical programmes Conference talks or technical publications We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the runtime systems of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building low-latency, high-throughput systems that serve search queries in real time. You will work on the critical path of user-facing requests, where performance, predictability, and efficiency directly impact product quality. You will design and operate systems that handle thousands of requests per second under strict latency budgets, optimising every layer from request handling to data access and response assembly. In this position, your responsibility will be to Design, implement, and operate core runtime services for serving search queries at scale Build and optimise request flows, including query processing, retrieval orchestration, and response assembly under strict latency budgets Develop systems that maintain performance and predictability under high load Optimise CPU, memory, and data access patterns in performance-critical paths Ensure reliability, observability, and predictability across production services Build well-tested systems with clear responsibilities and interaction contracts, while remaining flexible as architecture evolves Define and implement observability primitives, including structured logs, metrics, traces, and latency breakdowns Monitor throughput, latency, and resource usage, and drive improvements in performance and cost efficiency Collaborate with indexing and ML teams to integrate retrieval and ranking components, keeping ML logic decoupled from core system internals Support experimentation and iteration through controlled rollouts and rigorous benchmarking You may be a good fit if you: Have 8+ years of experience as a software engineer working on production backend systems Have strong hands-on expertise in C++ or Rust in real-world, high-load services Have built and operated high-load, low-latency user-facing systems handling thousands of RPS under strict latency constraints Understand performance at a systems level — CPU, memory, networking, and data access Have operated your own code in production: deployed it, debugged incidents, and rolled back changes when necessary Think end-to-end about request flows rather than staying within isolated components Can balance correctness, latency, and development velocity, making pragmatic tradeoffs when scope or time requires Collaborate effectively across engineering, ML, and product teams, communicating clearly in cross-functional settings Strong candidates may also have experience with: DBMS internals (open source or SaaS) and cloud infrastructure High-load web applications or large-scale APIs Performance-critical systems such as trading platforms or real-time data pipelines Low-level performance tuning and hardware-level optimisation Open-source contributions or active involvement in the engineering community Competitive programming or CTF participation SHAD or similar advanced technical programmes Conference talks or technical publications We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the runtime systems of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building low-latency, high-throughput systems that serve search queries in real time. You will work on the critical path of user-facing requests, where performance, predictability, and efficiency directly impact product quality. You will design and operate systems that handle thousands of requests per second under strict latency budgets, optimising every layer from request handling to data access and response assembly. In this position, your responsibility will be to Design, implement, and operate core runtime services for serving search queries at scale Build and optimise request flows, including query processing, retrieval orchestration, and response assembly under strict latency budgets Develop systems that maintain performance and predictability under high load Optimise CPU, memory, and data access patterns in performance-critical paths Ensure reliability, observability, and predictability across production services Build well-tested systems with clear responsibilities and interaction contracts, while remaining flexible as architecture evolves Define and implement observability primitives, including structured logs, metrics, traces, and latency breakdowns Monitor throughput, latency, and resource usage, and drive improvements in performance and cost efficiency Collaborate with indexing and ML teams to integrate retrieval and ranking components, keeping ML logic decoupled from core system internals Support experimentation and iteration through controlled rollouts and rigorous benchmarking You may be a good fit if you: Have 8+ years of experience as a software engineer working on production backend systems Have strong hands-on expertise in C++ or Rust in real-world, high-load services Have built and operated high-load, low-latency user-facing systems handling thousands of RPS under strict latency constraints Understand performance at a systems level — CPU, memory, networking, and data access Have operated your own code in production: deployed it, debugged incidents, and rolled back changes when necessary Think end-to-end about request flows rather than staying within isolated components Can balance correctness, latency, and development velocity, making pragmatic tradeoffs when scope or time requires Collaborate effectively across engineering, ML, and product teams, communicating clearly in cross-functional settings Strong candidates may also have experience with: DBMS internals (open source or SaaS) and cloud infrastructure High-load web applications or large-scale APIs Performance-critical systems such as trading platforms or real-time data pipelines Low-level performance tuning and hardware-level optimisation Open-source contributions or active involvement in the engineering community Competitive programming or CTF participation SHAD or similar advanced technical programmes Conference talks or technical publications We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

As a Customer Success Manager your mission is to serve as a trusted advisor to Mercell's public sector Finnish customers, proactively guiding them to effectively use Mercell's solutions, driving product adoption, managing renewals, and ensuring long-term value creation and partnership sustainability.