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Bloomreach is building the world's premier agentic platform for personalization .We're revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We're making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine — Loomi — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. You'd be joining the Artificial Intelligence team . We own the algorithmic core of the platform: Predictions, Contextual Personalization, contextual bandits, autosegmentation, and the agentic workflows behind Loomi. We work with behavioural data at terabyte scale, across 1,400+ customers, in production, every day. We are currently allowing flexibility for our employees to work from anywhere for the respective region (Central & Eastern Europe) or we are happy to meet you in our offices in Bratislava (Slovakia) or Brno, Prague (Czechia) on a full-time basis. The mission You find the signal in how 1,400 brands' customers actually behave — and you prove it moved a business metric. Your models decide which customers are predicted to churn, which segments form themselves, which offer a shopper sees, and whether the discount changed anything or was going to convert anyway. What you'll actually do Frame the problem before modelling it. Most of our highest-impact work arrives as a vague business question, and turning it into something measurable is the first job. Work the data at scale. Behavioural data, product catalogues and event streams across BigQuery and Databricks — finding features that carry real predictive signal, not the ones that are easy to compute. Build and evaluate models across Predictions and Contextual Personalization: propensity and churn, contextual bandits, autosegmentation, uplift and incrementality. Design the evaluation, not just the model. Offline metrics, backtests, and the A/B design that decides whether this ships. You own the question "how would we know if this is worse?" Bring methods in from outside and judge them honestly — read the literature, run the quick PoC, and tell a real result from a well-marketed one. Hand off cleanly to ML Engineering. You own the model and the evidence; they own making it survive production. That handoff is a document and a conversation, not a notebook over a wall. Explain your results to people who aren't data scientists — Product, Engineering leadership, and sometimes customers. What success looks like after 12 months Two models you built are in production and you can name the business metric each one moved. A question the team was arguing about is settled, with evidence, and your writeup is what people link to. ML Engineering describes your handoffs as easy. This role bends in three directions We'd rather shape it around you than the other way round. Modelling & data science — features, experiments, and whether the number means anything. ML product engineering — you own an ML-powered feature end to end and the ML part is what makes it interesting. Platform & MLOps — pipelines, serving, deployment, observability, inference cost. Most people lean one way and dip into the others. This opening is centered on the first. If you'd rather own the serving path, latency and reliability, our our Senior AI/ML Engineer opening (in Czechia or Slovakia) is the better fit, and applying to both is fine. What you'll need 5+ years building ML models that shipped and were used by someone other than you — in industry, not only in research or coursework. Strong Python and genuinely strong SQL. You should be comfortable being handed a warehouse and finding your own way around it. Solid grounding in classical ML — tree-based models, regression, classification, clustering — and the judgement to know when the simpler model is the right answer. Real rigour on experiment design and evaluation. You know why a metric moved, and when it didn't move for the reason everyone assumes. Comfort on a cloud data platform — we work in GCP (BigQuery) and Databricks, but the principles transfer. A quantitative degree, or equivalent practical depth. Working English, written and spoken. Plus real depth in at least one of: Causal inference and uplift modelling — separating who converts because of an intervention from who would have converted anyway. Contextual bandits, sequential decision-making, or off-policy evaluation. Ranking, recommendation or information retrieval. LLM evaluation, or applied work with the GenAI stack. Also good: you use agentic coding tools daily and have a view on where they help and where they quietly don't. We build agents for a living, and people who use them tend to have better instincts about them. #LI-KP1 The pay range actually offered will take into account a variety of potential factors considered in compensation, including but not limited to skills, qualifications, geographic location, accomplishments, experience, credentials, internal equity and business needs, and may vary from the range listed above. Base Salary Range €50.290—€62.900 EUR More things you'll like about Bloomreach: Culture: A great deal of freedom and trust. At Bloomreach we don't clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one. We have defined our 5 values and the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. We've embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review and internal communication. We believe in flexible working hours to accommodate your working style. We work virtual-first with several Bloomreach Hubs available across three continents. We organize company events to experience the global spirit of the company and get excited about what's ahead. We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer. The Bloomreach Glassdoor page elaborates on our stellar 4.7/5 rating. The Bloomreach Comparably page Culture score is even higher at 4.9/5 Personal Development: We have a People Development Program - participating in personal development workshops on various topics run by experts from inside the company. We are continuously developing & updating competency maps for select functions. Our resident communication coach Ivo Večeřa is available to help navigate work-related communications & decision-making challenges. Our managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader. The program includes regular comprehensive feedback, consultations with a coach and follow-up check-ins. Bloomreachers utilize the $1,500 professional education budget on an annual basis to purchase education products (books, courses, certifications, etc.) Well-being: The Employee Assistance Program -- with counselors -- is available for non-work-related challenges. Subscription to Calm - sleep and meditation app. We organize 'DisConnect' days where Bloomreachers globally enjoy one additional day off each quarter, allowing us to unwind together and focus on activities away from the screen with our loved ones. We facilitate sports, yoga, and meditation opportunities for each other. Extended parental leave up to 26 calendar weeks for Primary Caregivers. Compensation: Restricted Stock Units or Stock Options are granted depending on a team member's role, seniority, and location. Everyone gets to participate in the company's success through the company performance bonus. We offer an employee referral bonus of up to $3,000! We reward & celebrate work anniversaries -- Bloomversaries! (Subject to employment type. Interns are exempt from marked benefits, usually for the first 6 months.) Excited? Join us and transform the future of commerce experiences! If this position doesn't suit you, but you know someone who might be a great fit, share it - we will be very grateful! Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Bloomreach are considered property of Bloomreach and are not subject to payment of agency fees. #LI-Remote

This role is part of our Usersnap team, one of our growing brands at saas.group . Profile Overview Usersnap is building AI-driven capabilities into the core of the product, from automated setup to intelligent surveys, contextual analysis, and reporting that generates itself based on connectors. We're looking for a hands-on AI Lead / Engineering Manager to lead the small engineering team that ships these capabilities, and to set the technical direction while doing it. This is a player-coach role. You'll write and review code, make architecture calls, and define what "good" looks like for AI-native development. You'll also own team coordination, delivery timelines, workload allocation, and follow-through, so that work planned is work shipped, reliably and at production quality. This is a full-time, engineering-led role. It is not combined with product management: the technical leadership scope is substantial on its own, and you'll partner with Product rather than absorb it. AI capability is becoming core to Usersnap's product and go-to-market, especially as we move upmarket. You'll be the person who makes sure it ships well. Your immediate impact in the first 3-6 months will be: You'll have established a clear delivery rhythm for the team: shared priorities, realistic timelines, visible workload, and projects that get followed through to launch You'll have assessed the current state of the codebase, tooling, and practices, and set out a concrete engineering bar covering observability, testing, security, and architecture You'll have shipped at least one AI-powered feature to production with the team, from prototype through launch, using timeboxed AI development You'll have built a strong working relationship with Product and the rest of the company, and be seen as a reliable owner of ambiguous, technically complex work You'll have raised the team's standards while keeping people motivated and engaged Your responsibilities Team leadership and delivery Own team coordination, delivery timelines, workload allocation, and project follow-through for a small engineering team Keep work moving: break down ambiguous goals, sequence them with Product, flag slippage early, and make sure commitments are met Give clear, constructive technical feedback in code review, design discussions, and 1:1s, and raise standards without demotivating people Grow the team's capability, including how we use AI tooling to work faster without lowering quality Technical leadership Assess the current engineering bar and raise it. Define what "good" looks like for AI-native development, and make it the shared standard Set and enforce expectations in five areas: Observability: logging, monitoring, and tracing that make AI behavior, cost, and failures visible Testing: strong test coverage and automated-testing rigor, including evaluation of AI outputs Security and compliance: secure-by-default practices, as we move upmarket Scalable architecture and data pipelines: designs that hold up as usage and integrations grow Timeboxing: practical limits on AI development work, so exploration stays bounded and ships Own or steward key architecture decisions, including model selection and integration approach, and the tradeoffs between quality, cost, and latency Flag technical risks early, especially around AI reliability, cost, and edge-case behavior Hands-on contribution Design, build, and ship AI-powered features alongside the team, from prototyping through production quality Work hands-on with LLMs, embeddings, and related AI tooling to solve real product problems Build across the stack as needed. Every feature you ship should be tested, monitored, and maintainable Partnership Partner with Product on requirements and priorities, pushing back with technical reality when needed Partner with company leadership on technical planning, resourcing, and sequencing What You bring to the table Leadership Hands-on technical leadership with real engineering vision. You've led delivery for a small team, ideally for 2-3 years of people leadership, as a tech lead, engineering manager, or player-coach. Formal people-management experience is useful, but the essential need is someone who can wrangle delivery and provide senior technical direction A style that raises the bar. You give direct, specific technical feedback and hold high standards, and the team leaves those conversations more capable and more motivated Delivery discipline. You're comfortable owning timelines, allocating work, and following projects through to the end Technical depth 7+ years of software engineering experience , and you've shipped AI features to production and owned the lifecycle from problem framing to post-launch iteration, not just prototypes or AI-assisted coding Strong fullstack fundamentals. Comfortable across frontend, backend, and infrastructure as needed Practical experience with LLM APIs, prompt engineering, RAG, or similar techniques in live systems, with good judgment about when AI is the right tool and when it isn't Observability and testing rigor. You build in logging, monitoring, and tracing from the start, and you insist on strong test coverage and automated testing, including evaluation of AI behavior Scalable architecture and data pipelines. Solid SQL, schema design, and the ability to design pipelines and systems that scale Evaluation mindset. You define success metrics, design experiments, run offline and online evaluations, and make decisions from the results Production readiness. Docker fluency, CI/CD, and good habits for versioning prompts, models, and datasets LLM platform breadth. Experience integrating multiple LLM providers, working with vector databases, and using LangChain (or similar); comfortable fine-tuning when it truly makes sense Security and compliance experience , or a strong interest in it, as we move upmarket Practical timeboxing of AI development work. You know how to keep AI exploration bounded, ship on schedule, and avoid open-ended experimentation How you work You identify problems and propose solutions on your own, rather than waiting to be told exactly what to build You're comfortable in a lean team where you own outcomes, not just tickets What's in it for You Ultimate flexibility: We're 100% remote. You can work from wherever you like, whenever you like. Freedom and autonomy: We're a high-trust team, and you'll be given lots of flexibility to solve problems in your own way — with plenty of help from the team when you need it. Minimum bureaucracy: We don't like to get bogged down with meetings and red tape. We like to be efficient and keep momentum steady & sustainable. Small & friendly team: We help each other out, have fun, and joke around. Our network: We are a community of entrepreneurial SaaS professionals that regularly exchange ideas, knowledge, learning and expertise with each other internally. Flexible time off: We want you to recharge your batteries when needed. Usersnap is part of saas.group and we have a shared goal of succeeding together. What is saas.group? Think of us as the driving catalyst behind your favorite software success stories. saas.group, established in 2017, is on a mission to turbocharge promising B2B SaaS ventures, unlocking their full potential. As a Software-as-a-Service portfolio powerhouse, we specialize in acquiring small software treasures and polishing them into industry stars. With a dynamic, fully remote team of nearly 380+ colleagues spanning 50+ countries we are truly global and we are rewriting the playbook on SaaS innovation and collaboration. We grow 25 exciting brands under our umbrella. Feel free to explore our Candidate's Hub to get an insider's view, dive into our culture, gain valuable insights into our teams and how we work. Also, don't forget to follow saas.group on LinkedIn to stay up-to-date on our job openings, podcast episodes, and with all things happening at our company. We don't just simply offer you to "take a job with us" but rather to "join us on this journey" to build the world's largest platform of independent SaaS companies. Sounds like something you're up for? Feel free to apply even if you don't check all these boxes. We believe in the power of diversity and fresh perspectives to spice up our team. Your application might just be the missing ingredient! — saas.group is committed to creating a diverse and inclusive workplace. We are proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you're passionate about working with a team that values innovation, excellence, and fairness, we encourage you to apply. We believe in fair and transparent pay. Salary ranges at saas.group are location-adjusted, targeting local market medians for a remote-first environment, and will be shared with our potential future employees in writing before your first interview - so you have everything you need to evaluate the opportunity.

Role Description As an Infrastructure Engineer, your role will be crucial in shaping and constructing the robust systems that not only support our current flagship products but also lay the groundwork for the next wave of engineering innovations. From optimizing user experiences across various projects to ensuring seamless scalability and data integrity, you'll be at the forefront of shaping the technological backbone of our platform. Collaborating closely with cross-functional teams, you'll leverage your expertise to tackle audacious challenges and push the boundaries of what's possible. Your contributions will directly impact millions of users, as every line of code you write furthers our mission to revolutionize the way people work and collaborate. Join us in redefining the future, where your passion for building scalable, reliable systems will drive meaningful change on a global scale. Our Engineering Career Framework is viewable by anyone outside the company and describes what's expected for our engineers at each of our career levels. Check out our blog post on this topic and more here . Responsibilities Build infrastructure capable of managing metadata for hundreds of billions of files, handling hundreds of petabytes of user data, and facilitating millions of concurrent connections. Lead the expansion of Dropbox 's function as the data-fabric, connecting hundreds of millions of applications, devices, and services globally, while also driving initiatives to enhance interoperability and adaptability across diverse ecosystems. Measure and optimize Dropbox's analytics platform to maintain its status as one of the most advanced in the industry for extracting meaningful insights from vast data volumes. Collaborate with cross-functional teams to innovate and implement solutions that enhance the performance, reliability, and security of Dropbox's infrastructure, ensuring a seamless experience for users worldwide. Proactively identify new opportunities and drive improvements in current project states, advocating for and implementing changes that potentially impact broader business initiatives across teams or products. Proficiency in effectively navigating through ambiguous situations and uncertainties, demonstrating adaptability and strategic thinking to steer projects towards successful outcomes. On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable and high-quality experience for our customers. Requirements BS, MS, or PhD in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience 9+ years of professional software development experience Proven track record constructing and managing expansive, multi-threaded, geographically dispersed backend systems Proficient in programming and debugging across a range of languages such as Python, Go, C/C++, or Java Extensive experience working with operating system internals, filesystems, databases, networks, and compilers considered advantageous Ability to navigate and thrive in ambiguous situations, showcasing adaptability and open-ended problem solving. Capable of taking ownership of long-term projects and seeing them through to completion. Ability to set medium-to-long term strategy for business-impacting projects. Preferred Qualifications Proven track record of defining technical roadmaps for the team. Compensation Poland Pay Range 333 200 zł—450 800 zł PLN

Role Description We are looking for a data-driven, systems-thinking Sales Operations Manager to own the operating infrastructure that powers our go-to-market engine. In this highly visible Individual Contributor role, you will serve as the backbone of a regional Sales organization and translate go-to-market strategy into an executable operating model. You will act as the primary regional business partner for sales executives, supporting all routes to market within the region. You will own or coordinate supporting sales planning, territory and quota execution, forecast interpretation, operational improvements, and translation of strategic priorities into clear execution plans. You'll drive process clarity, pipeline health, forecasting hygiene, and cross-functional governance, using AI and automation-enabled workflows to reduce manual reporting effort while maintaining strong human judgment over business recommendations. Your top priority each day will be to ensure excellence in execution and reporting on our regional goals. Responsibilities Own the operating cadence, including territory management, account segmentation, forecasting governance, pipeline inspection, business reviews, and performance visibility, delivering executive-ready insights that drive forecast accuracy, balanced sales coverage, and operational excellence.Partner with regional Sales leaders across all routes to market to improve forecast accuracy, pipeline health, sales coverage, deal quality, and operational execution. Work in close partnership with the Chief Business Officer's organization and the GTM Strategy & Programs team to connect regional Sales Operations to company-wide priorities, provide timely inputs for executive reporting, and ensure consistency across regional and corporate operating cadences. Lead end-to-end coverage design, including segmentation, book cutting, territory planning, account assignment, capacity planning, and quota allocation in partnership with Sales Leadership, Compensation, Finance, Systems, and Analytics. Own CRM QA and hygiene for the supported region, including SFDC hierarchy management, pipeline quality, process compliance, forecast integrity, deal quality investigations, and exception resolution. Partner with leadership on pipeline inspection, forecasting, and opportunity assessment, and build executive-ready reporting, dashboards, MBR/QBR readouts, and business insights that help leaders identify risks and make better decisions. Partner with Sales Strategy, Systems, Analytics, Compensation, Finance, and Enablement to automate recurring workflows and continuously improve how the team operates. Support organization design, interim coverage plans, role changes, new-hire onboarding, SPIF development and administration, and Channel deal registration as part of the regional operating model. Requirements Proven experience scaling Sales Operations across Europe, supporting a complex, multi-country sales organization with diverse markets, languages, and evolving go-to-market motions. Professional working proficiency in English is required as this role regularly collaborates with global teams 8+ years of experience in sales operations, business strategy, investment banking, venture capital, private equity, or corporate advisory, or 6 years of experience with an advanced degree. 4+ years of experience working with executive stakeholders. Experience leading territory planning, account segmentation, forecasting, pipeline inspection, and annual sales planning processes. Deep understanding of quota planning, sales capacity modeling, and quota governance, with the ability to align quotas to business strategy and commercial objectives. Experience using AI, automation, and analytics tools to improve forecasting, pipeline inspection, reporting, and workflow efficiency, with the ability to validate outputs and apply sound business judgment before making recommendations. Bachelor's degree or equivalent practical experience. The role can be based in either the UK or Ireland. Preferred Qualifications Experience supporting executive operating cadences (e.g., Weekly Business Reviews, Forecast Calls, Quarterly Business Reviews) for senior sales leadership. Experience designing or optimizing territory, account segmentation, or book-of-business models for high-growth SaaS organizations. Experience developing quota methodologies, allocating quotas, and partnering with Sales Leadership and Finance to align quotas with territory design, capacity planning, and business objectives. Experience supporting multiple sales motions (Direct, Channel, Self-Serve, Enterprise) across global or multi-region organizations. Strong proficiency with Salesforce, Tableau, SQL, or similar business intelligence and CRM platforms. Experience operating in a high-growth or transformational environment where Sales Operations played a strategic role in scaling the business. Durable Skills AI fluency means using these tools to amplify human judgment, not replace it. We believe people with these skills will thrive as work and technology continue to evolve: Awareness: Understand yourself and others. Judgment: Evaluate information and make decisions in complex situations. Adaptability: Learn, adjust, and stay effective through change. Connection: Communicate, collaborate, and build trust. To learn more about why these skills matter and what the data shows about thriving through change, read this blog post from our Chief People Officer, Melanie Rosenwasser. Compensation United Kingdom Pay Range £91,400—£123,600 GBP Ireland Pay Range €93.500—€126.500 EUR

1Password is growing. We've surpassed $400M 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. As 1Password's Country Manager for Australia and New Zealand (ANZ), you'll establish and lead our next major international market, building a durable, partner-led growth model across the region. You'll own regional growth strategy, revenue performance, customer experience and the development of a local go-to-market team spanning Sales, Channel, Business Development, Solutions Engineering and Customer Success. Reporting to the SVP, Sales, this Sydney-based role will help more organizations protect access and strengthen security while shaping how 1Password serves customers and partners across ANZ. 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. This is a remote opportunity within Australia. Note: All go-to market roles will have an in-person onboarding in Toronto. What we're looking for: Significant leadership experience in enterprise software, cybersecurity, cloud, identity or a related technology market, including substantial experience in Australia and New Zealand. A track record of launching, building or scaling a regional business with accountability for revenue, people, partners and customer outcomes. Deep ANZ market credibility and an established executive network across customers, distributors, resellers, service providers and the broader technology ecosystem. Proven channel-first leadership, including the ability to create strong partner economics and make indirect routes to market a core operating model. Experience leading multiple go-to-market disciplines, such as enterprise or commercial Sales, Channel, Business Development, Solutions Engineering and Customer Success. Strong people leadership, commercial judgment and operational discipline across recurring-revenue business models, forecasting, pipeline creation, expansion and retention. Preferred: Experience with identity and access management, privileged access, Software as a Service (SaaS) security, developer security or artificial intelligence security; familiarity with complex enterprise buying processes and sales methodologies such as MEDDPICC. Willingness to travel regularly across Australia and New Zealand, with occasional international travel, is expected. What you can expect: Own the ANZ business plan and revenue outcomes across new business, expansion and retention, establishing a clear cadence for forecasting, pipeline inspection, account planning and performance management. Translate 1Password's global strategy into a regional operating plan that reflects local buying behavior, market dynamics, competitive conditions and regulatory requirements. Build a channel-first growth engine by developing distributors, resellers and service providers through joint business plans, enablement, clear rules of engagement and measurable pipeline goals. Serve as an executive sponsor for priority customers and prospects, strengthening relationships with Chief Information Officers (CIOs), Chief Information Security Officers (CISOs) and other business leaders. Recruit, onboard and develop a high-performing Sydney-based team while establishing clear roles and effective collaboration across Sales, Channel, Business Development, Solutions Engineering, Customer Success, Marketing and Support. Bring customer insight, competitive intelligence and regional requirements to Product, Engineering and other global leaders, particularly around data residency, regulated industries, public-sector needs and local support. Represent 1Password across the ANZ market through executive customer and partner meetings, industry events, advisory forums, stakeholder relationships and locally relevant thought leadership. What success looks like: Within your first 12 months, you will: Establish 1Password as a credible, locally led security partner across ANZ. Build and ramp the core regional team with clear accountability, strong handoffs and a reliable operating cadence. Activate a focused distributor and reseller ecosystem that supports pipeline creation, customer adoption, expansion and retention. Transition existing ANZ accounts into the local operating model while protecting customer relationships and revenue. Accelerate new-business and expansion pipeline while maintaining strong deal quality and partner economics. Create an evidence-based plan for public-sector and regulated-industry growth. Build trusted partnerships with global Product, Engineering, Marketing, Customer Experience and go-to-market leaders. 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. The way we bring those values to life every day is guided by our 1Password Behaviors for Success . 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 . 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 remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. 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 Free 1Password account Community Paid volunteer days Peer-to-peer recognition through Bonusly Remote-first work environment 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 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 . For additional information see our Candidate Privacy Notice .

About Nebius : Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role: Network Engineering Manager APAC / Network Team Lead APAC We are looking for a Staff Network Engineer / Player-Coach Team Lead to lead the growth, deployment, and operational execution of our APAC Network Infrastructure emerging team . In this role, you will combine direct people leadership with high-end technical expertise. You will lead a growing regional team of 2–5 jun/mid-to-senior network engineers , driving their professional development, cross-project prioritization across our Global Network , and overall execution aligned with global business objectives, with a priority on the APAC Region and backbone network development across EU and the US for APAC. As a hands-on technical manager, you will remain deeply embedded in engineering execution, dedicating approximately 50–70% of your time to hands-on engineering during your first year, with the role evolving naturally alongside organizational scale and regional team expansion. Crucially, this position demands a high degree of operational autonomy . Due to the timezone differences, you will serve as the primary regional networking authority, bridging global network architecture defined with our EU/EMEA/the US engineering headquarters and regional execution across APAC colocation sites, cable landings, and data centers. This position is remote within the APAC region (with preferred hubs in India, Singapore), with regular visits to regional DC facilities and our European headquarters in Amsterdam. Your responsibilities will include: Team Leadership & People Management Deploy APAC network part and BackBone. Lead, mentor, and structurally develop a regional engineering team of 2–5 jun/mid-to-senior network engineers across the APAC. Own regional task planning, backlog prioritization, change review governance, and end-to-end execution within the team. Drive and owning the Launch and Deploy process of New DataCentre and Customer in it Drive technical coaching, and personalized career roadmaps for team members. Foster a disciplined culture of radical ownership, engineering excellence, comprehensive runbook documentation, and Git-driven automation. Act as the regional net escalation point for production network incidents Global Follow-the-Sun Alignment: Co-own operational hand-off workflows and shared incident coverage with EMEA (HQ in Amsterdam) and the US network teams to guarantee seamless, round-the-clock global production network stability and customer workability. Cross-Functional Alignment & Strategic Autonomy Serve as the primary regional network owner for the next teams in APAC: datacenter operations team, site expansion teams. EU/EMEA Coordination: Actively partner with the Global Network Architecture and R&D to adapt core architectural standards (Clos fabrics, SRv6, backbone routing policies) to APAC market realities and carrier ecosystems. Autonomously drive regional connectivity delivery: partner closely with Technical Program Managers (TPMs) on submarine cable systems, cross-border DCI circuits, local Internet Exchanges (IXs), and regional transit providers. Coordinate with HWaaS, Compute, and Cloud Platform engineering teams to guarantee timely site bring-up, Day-0 Out-of-Band (OOB) readiness, and high-throughput fabric availability for production workloads. Bridge the gap between global strategic roadmaps and autonomous local incident resolution, ensuring APAC operations execute reliably during EMEA off-hours. Technical Leadership & Hands-on Work (50–60%) Full Regional Network Ownership: Own and guarantee overall network infrastructure readiness, capacity, and availability across emerging APAC network infrastructure, ensuring alignment with HQ blueprints and processes Actively contribute to the design, deployment, and operation of massive data center fabrics and backbone infrastructure. Support and participate in the evolution high-performance Ethernet-based GPU cluster interconnects. Participate in complex, high-severity troubleshooting and root-cause analysis (RCA) for critical infrastructure incidents. Oversee and contribute to network automation pipelines, tooling, and telemetry/observability development. We expect you to have: Expert-Level Technical Background: Service Provider or/and Data Center Clos networks. BGP, IS-IS, Segment Routing (SR-MPLS / SRv6), and advanced traffic balancing Ethernet switching, EVPN-VXLAN architectures, and L3 VPNs. Leadership Experience: Proven track record as a Tech Lead, Lead/Staff Engineer, or People Manager leading mid-to-senior engineering teams. Vendor Ecosystem: Juniper, Arista, Cisco, NVIDIA It will be an added bonus if you have: Hands-on experience with GPU cluster, RoCEv2/ECN or InfiniBand networks Solid understanding of Public Cloud networking models and Software-Defined Networking (SDN) overlays. Proficiency in Python or Go for infrastructure automation and production tooling within Linux environments. 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.

Build a Safer World. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. The Data Product team collaborates with an experienced group of data scientists, engineers, and product managers to build highly scalable features that power TRM's products and services. As a Data Engineer on the Data Product team, you will be responsible for designing and building mission-critical data services. These features analyze and provide insights into blockchain transaction activity at petabyte scale, and ultimately work to build a safer financial system for billions of people.. The impact you'll have here: Build highly scalable features that integrate with dozens of blockchains. Design and architect intricate data models for optimal storage and retrieval to support sub-second latency for querying blockchain data. Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement novel data models that enhance TRM's products. What we're looking for: Bachelor's degree (or equivalent) in Computer Science or a related field. A proven track record, with 5+ years of hands-on experience in architecting scalable API development, distributed system architecture, guiding projects from initial ideation through to successful production deployment. Exceptional programming skills in Python, as well as adeptness in SQL or SparkSQL. Versatility that spans the entire spectrum of data engineering in one or more of the following areas: In-depth experience with data stores such as BigQuery and Postgres. Proficiency in data pipeline and workflow orchestration tools like Airflow and DBT. Expertise in data processing technologies and streaming workflows including Dataflow, Spark, Kafka, and Flink. Competence in deploying and monitoring infrastructure within public cloud platforms, utilizing tools such as Docker, Terraform, Kubernetes, and Datadog. Proven ability in loading, querying, and transforming extensive datasets About the Team: Our team is spread out over several countries and time zones. To leverage the opportunities and address challenges that come with this working model, we've built a culture grounded in trust, transparency, and adaptability. Even though we're scattered across different time zones, we stay closely connected through open communication and regular check-ins. Our use of digital tools helps us collaborate seamlessly and work at an impressive pace, delivering results at TRM speed while staying in sync. The diversity of perspectives and expertise within our team sparks creative exchanges and enhances our problem-solving capabilities, allowing us to leverage our global synergy to drive innovation and efficiency. We're driven by a deep sense of ownership, constant pursuit of improvement and an obsession with delivering magical experiences to our customers; these are a core part of our culture. We're driven by the desire to continuously hone our craft and to this end, we regularly assess our processes, seek feedback, and embrace iterative development to refine what we do. We structure problems and use the 80/20 rule(for many outcomes, roughly 80% of consequences come from 20% of causes) to identify where to direct our razor-sharp focus. Each of us is passionate about excellence and growth, and we're encouraged to challenge the status quo and experiment with new methods. This mindset creates an environment where innovation is part of our daily routine and every team member is an impact-oriented trailblazer. By celebrating our successes and learning from our setbacks, we stay agile and forward-thinking, always striving to elevate our performance and impact. Learn about TRM Speed in this position: The team received a request from customers to show the running balance for assets tied to an address within the product. They brainstormed to determine the minimal viable solution that could be delivered within two weeks. The team decided to develop a framework that would facilitate enabling this feature for each chain (such as BTC, ETH, etc.) individually. They successfully implemented and tested this solution for the BTC chain and delivered it to customers within the two-week timeframe. This approach allowed the team to quickly provide value to customers and establish a repeatable process. The team was tasked with implementing a new feature that would enable TRM to gather feedback from the user community swiftly. Due to the company's goal of showcasing the feature at an upcoming event, the timeline was tight. The team quickly adjusted to the request, assessed the requirements, and developed a solution that addressed 80% of the needs and could be executed within a very short timeframe. They successfully delivered the feature on schedule, impressing customers with both the functionality and the speed of execution. The team was tasked with developing a solution to reveal Indirect Exposure through cross-chain swaps in response to a competitor's similar feature. Before choosing the technical approach, the team consulted with stakeholders to establish a feasible timeline for the implementation. With this input, the team devised a solution that fit the timeline, communicated the tradeoffs to stakeholders, and successfully delivered the solution as promised. About TRM's Engineering Levels: Engineer: Responsible for helping to define project milestones and executing small decisions independently with the appropriate tradeoffs between simplicity, readability, and performance. Provides mentorship to junior engineers, and enhances operational excellence through tech debt reduction and knowledge sharing. Senior Engineer: Successfully designs and documents system improvements and features for an OKR/project from the ground up. Consistently delivers efficient and reusable systems, optimizes team throughput with appropriate tradeoffs, mentors team members, and enhances cross-team collaboration through documentation and knowledge sharing. Staff Engineer: Drives scoping and execution of one or more OKRs/projects that impact multiple teams. Partners with stakeholders to set the team vision and technical roadmaps for one or more products. Is a role model and mentor to the entire engineering organization. Ensures system health and quality with operational reviews, testing strategies, and monitoring rigor. Application Instructions If you're interested in joining TRM, we encourage you to apply directly. Every application is reviewed by our Talent team. Before applying, review the job description carefully and highlight the experience and impact that best demonstrate the required qualifications. Please also provide thoughtful and accurate answers to the application questions, as these will be used to evaluate your skills and qualifications for the role. If you send your resume directly to someone at TRM, we can't guarantee it will reach the appropriate hiring team. Applying directly is the best way to ensure your application will be considered. Interviewing with TRM Our process is designed to understand how you think, solve problems, and deliver impact, while allowing you to evaluate TRM. Most interview processes include a case study, an AI skills assessment, and a Leadership Principles interview. Recruiter Intro: Qualifications, motivations, and alignment with the role. Hiring Manager: Deep dive into your relevant experience, skills, and impact. First Round: 1–2 interviews focused on the skills most critical to the role. Final Round: Hands-on case study. This is usually a panel-style session where we go deeper into your craft, problem-solving, and alignment with TRM. References: Former colleagues who can provide insight into your work and impact. Offer: Congrats! Your recruiter will present the offer and compensation details. Welcome to TRM: We're excited to build a safer world with you! Your recruiter will share your specific interview plan and preparation guidance along the way. AI Fluency at TRM AI fluency is a baseline expectation at TRM. We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks. At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to: Accelerate repeatable workflows Structure and solve problems Improve output quality Increase speed and leverage You will be evaluated on applied AI fluency during the interview process. Life at TRM We are building a safer world. That promise shows up in how we work every day. TRM moves FAST. We are a high-velocity, high-ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days. Our work sits at the intersection of AI, national security, and fighting crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving. At TRM, you should expect: Priorities and targets to change quickly Operating with a high degree of ambiguity A high level of personal ownership and accountability Close collaboration across teams and functions Frequent, high-touch communication Creative problem-solving and out-of-the-box thinking A pace that rewards urgency, adaptability, and outcomes This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires thriving in ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment. We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure-test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Leadership Principles We hire and grow against three leadership principles. They're the standards for how we operate, treat each other, and make decisions. Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly. Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday. Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger. Join our Mission At TRM, we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you're excited by TRM's mission but don't check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast. TRM is a Series C company with $220M in total funding, backed by Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. Privacy Policy and Additional Information By submitting your application, you agree to allow TRM Labs to process your personal information in accordance with our Privacy Policy . We collect the information you provide (such as your resume, work history, and contact details) solely for the purpose of evaluating your candidacy for current and future roles at TRM. Because our hiring cycles for certain positions may span 24 to 36 months, we retain your personal information for up to 36 months from the date of your application. After that period, your data is deleted unless a different retention period is required or permitted by law. If you are located in the European Economic Area, the United Kingdom, or another jurisdiction with applicable data protection laws, you have the right to access, correct, or request deletion of your personal data at any time before that period ends. To exercise any of these rights, contact us at privacy@trmlabs.com . To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form . Recruitment agencies TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement.

Platform Engineering at Polar Platform engineering at Polar is about building and evolving the systems that power our product – keeping them fast, resilient and simple as we scale. We're rethinking how billing works for a world of usage-based software, programmable pricing and AI agents – from real-time metering and pricing as code, to more flexible customer identities, giving developers greater control over how they monetize their products. Polar sits in the critical path of global payments, billing and financial workflows. Reliability and correctness matter deeply, but so does our ability to move quickly. We're looking for engineers who enjoy working across infrastructure, backend systems and the application layer – from improving foundational systems and shipping new platform primitives to building the tooling and automation that enable the entire engineering team to move faster. We don't believe in building infrastructure for infrastructure's sake. We value a pragmatic mindset and sensibility in knowing when to introduce new abstractions and when the simplest solution is the right one. More about Polar and how we work What you could work on Depending on your experience and where you can have the greatest impact, this could include: Keep Polar reliable at scale: Designing and evolving systems that remain highly available, performant and resilient as traffic and complexity grow – identifying bottlenecks, improving critical paths and designing for graceful failure. Evolve our infrastructure: Improving our cloud architecture, infrastructure-as-code and environments – introducing complexity only where it earns its place. Make production safe and easy to operate: Improving observability, debugging, deployments and incident response so engineers can ship confidently, understand what's happening in production and recover quickly when things go wrong. Build leverage for engineering: Creating primitives, abstractions and automation that remove operational toil and help the broader engineering team move faster. Engineer for financial correctness: Translating financial and regulatory requirements into robust technical systems, with auditability, access control and data integrity built in from the outset. What we look for We're particularly interested in senior engineers who combine deep systems thinking with exceptional product judgement. People who enjoy solving complex technical problems, take ownership beyond their immediate area and care about building systems that are both robust and easy to work with. Some of the qualities and experience we value in this area include: Strong technical foundations: Backend and systems engineering experience, including distributed systems, cloud infrastructure, and operating production systems at scale. This means that you have built and operated such systems over time to see and understand the pitfalls of the initial decisions SQL and data modelling depth: Strong experience with relational databases, data modelling, query optimization and designing for data integrity and performance. Pragmatic engineering judgement: The ability to reason through complex technical trade-offs, anticipate failure modes and choose solutions that balance immediate needs with long-term maintainability. You're comfortable moving across infrastructure, backend and application layers to solve the problems that matter. Product-minded: An understanding of how engineering decisions affect the product, with the judgement to balance speed, simplicity and robustness. End-to-end owner: A willingness to take responsibility for outcomes, from understanding the problem and designing a solution to shipping, operating and improving it. Multiplier: An interest in building abstractions, tooling and automation that make the whole engineering team faster and more effective. Security-minded: Treating security, access control and auditability as fundamental engineering considerations rather than afterthoughts. Experience with payments, billing or financial infrastructure is a strong plus. We also love seeing open-source contributions and side projects. Our stack Frontend: Typescript (React, Effect) Backend: Python (FastAPI, Dramatiq) Infrastructure: Postgres, Clickhouse, AWS.

Product Engineering at Polar Product engineering at Polar is about shaping and building the finance layer for the next generation of AI products. We're rethinking how billing works for a world of usage-based software, programmable pricing and AI agents – from real-time metering and pricing as code, to more flexible customer identities, giving developers greater control over how they monetize their products. We're interested in engineers who enjoy working across our entire stack, solving complex technical challenges while shaping how developers interact with and experience Polar. We value engineers who think beyond implementation, challenge assumptions and bring the technical depth and product judgement to make sophisticated systems feel simple. We operate as a small, remote-first team with a strong bias towards shipping. We value engineers who can work independently, collaborate when it matters and maintain a high bar for quality without sacrificing speed. More about Polar and how we work What you could work on Depending on your experience and where you can have the greatest impact, this could include: Own product development end-to-end: Identifying opportunities, shipping and iterating on features across our stack – taking responsibility for both the technical implementation and the product outcome. Build exceptional developer experiences: Bringing a strong eye for design, usability and detail to everything you ship. Turning complex billing and monetization workflows into intuitive interfaces, powerful APIs and thoughtful abstractions that make our merchants' lives easier. Ship with speed and quality: Delivering improvements continuously, balancing fast iterations with robust engineering, performance and attention to detail. Stay close to our users: Engaging with our merchants, to understand how they use Polar, uncover pain points and translate feedback into meaningful product improvements. What we look for We're particularly interested in senior engineers who combine strong technical foundations with exceptional product judgement and design sensibility. People who care deeply about developer experience, have opinions about what makes great software and know that building the right thing often means knowing what not to build. Some of the qualities and experience we value in this area include: Strong technical foundations: Experience building, shipping and evolving production software, with deep expertise in at least one part of the stack and the ability to work confidently across frontend and backend systems. You've built and maintained products long enough to understand how early technical and product decisions hold up as they evolve and scale. Product judgement & design sensibility: A deep appreciation for how products look, feel and work. An understanding that developer experience is the product, from the clarity of an API to the smallest details of an interface. Strong opinions, loosely held, and the judgement to challenge assumptions, simplify complexity and know what to leave out. Ownership & pragmatic execution: The ability to take problems end-to-end with high ownership and autonomy, navigate ambiguity, make decisions without perfect information and take responsibility for outcomes. A bias towards shipping and knowing when to iterate quickly and when to invest in stronger foundations. Engineering craft: A commitment to the quality of what gets built – from clean APIs and robust backend logic to thoughtful interactions, edge-case handling and performance. High standards for both technical quality and the experience delivered. Curiosity & collaboration: A willingness to wear multiple hats, collaborate openly and contribute to a small team. Curiosity to learn new technologies and use tools, including AI-assisted development, while maintaining intimacy with the code, sound engineering judgement and ownership of what gets shipped. Experience with payments, billing or developer tools is a strong plus. We also love seeing open-source contributions and side projects. Our stack Frontend: Typescript (React, Effect) Backend: Python (FastAPI, Dramatiq) Infrastructure: Postgres, Clickhouse, AWS.

Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com . Reddit is seeking an experienced, highly analytical International Payroll Analyst to own and scale our international payroll operations across LATAM, EMEA, and APAC regions. As a key individual contributor with deep cross-functional influence, you will combine data-driven execution, meticulous attention to detail, and international tax compliance to support a rapidly growing workforce. Reporting to the Sr. Global Payroll Manager, this role will help to drive major strategic initiatives—including Workday enhancements and global payroll vendor implementations—to build scalable, best-in-class operational processes. The role partners closely with Payroll Vendors and internal teams across People, Finance, Tax, Legal, Treasury, Equity, and Internal Audit to deliver accurate, timely, compliant, and employee-centered payroll outcomes. What You'll Do: International Payroll Execution & Oversight: Manage, audit, and execute multi-country payroll delivery across 15+ international countries, including payroll inputs, validation, approvals, funding coordination, reconciliations, statutory filings, and post-payroll activities ensure high accuracy and strict adherence to strict regional pay schedules. Lead the payroll calendar and operating cadence across countries, proactively managing dependencies, cutoffs, exceptions, and risks to ensure employees are paid accurately and on time. Partner with local in-country payroll providers to maintain strict adherence to regional pay schedules and statutory processing windows. Compliance & Equity Management: Oversee international equity compensation payroll processing (RSUs, Stock Options) and ensure full regulatory compliance across international tax jurisdictions, localized statutory benefits, and reporting requirements. Systems & Scaling Initiatives: Act as functional lead for payroll technology projects, leveraging Workday to automate workflows, optimize system configurations, build custom reporting, and partner with the Sr. Global payroll Manager to implement upcoming enterprise Global Payroll solutions. Cross-Functional & Vendor Management: Partner with Benefits, People Operations, Legal, and Finance; manage external vendor relationships and third-party tax fulfillment partners to ensure seamless funds reconciliation and local tax compliance. Process Controls: Establish, document, and enforce global payroll policies, SOX controls, and standard operating procedures to streamline audit readiness (401k, Workers' Comp, Financial Audits). Strategic Growth Projects: Support special business initiatives, including M&A integrations, new country market entries, and business-critical cross-functional launches. What We're Looking For: Experience: 5+ years of progressive payroll operations experience in a high-growth, publicly traded tech company with a global footprint. Education : Bachelor's degree or equivalent practical experience in payroll, accounting, finance, human resources, or a related field. Systems Expertise: Proficiency with Workday Payroll (reporting, configuration, integrations) and global payroll software platforms. Technical & Analytical Skills: Advanced proficiency in Excel/Google Sheets (vlookups, index/match, pivot tables) for complex data analysis, reconciliation, and audit modeling. Domain Expertise: Thorough understanding of global equity taxation, statutory compliance, international labor laws, and multi-currency payroll distribution. Execution & Soft Skills: Strong problem-solving capabilities, high discretion handling confidential data, and exceptional communication skills to collaborate seamlessly across teams. Bonus Points Responding to internal, external, statutory, and financial audit requests, including preparation of reconciliations, control evidence, and supporting documentation. Applying automation or AI tools to payroll operations, analytics, controls, case management, or knowledge documentation. Providing high-quality customer service to employees and business partners across regions, cultures, and time zones. Working in a publicly traded, technology, or high-growth company and supporting international expansion or payroll transformation. How Success Will Be Measured Operational Excellence: Accurate, timely, and compliant payroll delivery across the international footprint. Audit & Governance: Strong controls, clean reconciliations, and audit-ready documentation. Vendor Management: Reliable vendor performance and effective resolution of payroll issues. Scalability: Scalable processes, improved automation, and clear country-level operating documentation. Stakeholder Satisfaction: Trusted partnerships and a responsive, employee-centered service experience. In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com . Working as a Senior Growth Manager supporting Reddit's International Community team, you will develop and execute initiatives that strengthen Reddit's user and community ecosystems in the US and across international markets. This position is open to candidates based in the UK or the US - East Coast. This is not a marketing role. You will identify high-impact growth opportunities, design and execute experiments, and develop successful interventions into repeatable models that can be applied across markets. Your work may include building and scaling communities, increasing the supply of relevant content and contributions, reaching underserved audiences, and strengthening Reddit's user experience. The role combines growth strategy, hands-on experimentation, data analysis, and cross-functional influence. You will work closely with Product, Data Science, Marketing, and Community teams while maintaining the autonomy and entrepreneurial mindset required to scale successful initiatives to other markets. Responsibilities: User & Community Growth Strategies: Establish and execute comprehensive strategies to grow the user base and nurture communities. Growth Experimentation: Design and execute growth experiments aimed at addressing gaps in content supply, community density, contribution, discovery, engagement, and user growth. Apply a creative, entrepreneurial approach by testing ideas quickly, learning from results, and iterating accordingly. Scaling and Repeatability: Translate successful experiments into repeatable playbooks, processes, and recommendations that can be applied across markets. Determine which elements can scale broadly, which require local adaptation, and what operational or product support is needed to unlock broader impact. Data & Performance Analytics: Monitor key growth and ecosystem indicators, including DAU, contribution, content supply, community health, and retention. Analyze performance trends, identify risks and opportunities, and establish clear measurement frameworks for experiments and scaled programs. Cross-functional Collaboration: Partner with various internal teams to provide insights, shape priorities, and scale growth initiatives. Build compelling evidence through experimentation to influence cross-functional investment and product development. Required Qualifications: Bachelor's degree or equivalent practical experience. 7+ years of experience in user growth, product operations, or market expansion, with a demonstrated track record of executing growth initiatives at scale. Strong entrepreneurial instincts, hands-on execution skills, and the ability to make progress independently in ambiguous or resource-constrained environments. Data-driven and analytical mindset, with proficiency in Excel modeling, working knowledge of SQL, and experience creating scalable processes and automations. Strong systems thinking, with the ability to distinguish between market-specific problems and growth opportunities that can be addressed through repeatable approaches. Exceptional communication and stakeholder-management skills, with the ability to collaborate effectively and align cross-functional stakeholders across global teams. Results-oriented mindset, strong attention to detail, and a bias toward execution. Comfort balancing a portfolio of opportunities across the US and international markets and prioritizing based on potential impact, feasibility, and strategic relevance. In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Thank you for considering Tailscale . If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role We're seeking a talented and motivated full-time Software Engineer, AI Enablement to help Tailscale's engineering organization get the most out of AI-assisted development. You'll join a small, high-leverage team reporting to our co-founder, working alongside our first AI enablement engineer to build the tools, workflows, and practices that help every engineer at Tailscale build faster and more safely with AI. This is a foundational role — you'll have real latitude to shape what AI enablement means here as we scale, with direct visibility into how the whole engineering org adopts these tools. Key Responsibilities Partner with engineering leadership and Tailscale's technical staff to define and drive our internal AI-enablement roadmap. Work closely with the team building Aperture by Tailscale, our AI gateway used both internally and offered as a product. Build and iterate on the tools, workflows, and shared practices that help engineers get real value from coding agents — and evaluate new models and tools, making clear calls on what we adopt. Partner with engineering and non-engineering teams to find high-leverage opportunities to apply AI — this is a support function, so success means other teams shipping faster because of what you've built. Establish the guardrails, review practices, and documentation that make AI-generated code safe to ship, and act as the internal advocate who helps teams adopt good practices without mandating a single tool. Track adoption and measure the real impact of AI tooling on velocity and quality, and report back to leadership. What We Are Looking For 5+ years of professional software engineering experience Genuine, daily, hands-on fluency with modern AI coding tools (Claude Code, Codex, Pi, or similar) — real power-user experience, not occasional use Experience building and shipping internal tools or developer-facing automation Strong written and verbal communication and internal advocacy skills — comfortable teaching, writing, and influencing engineers at very different comfort levels with AI tooling A balanced approach — trying to get people to use AI effectively and safely where appropriate. We don't have an 'AI mandate'; we believe that if we make AI both easy to use and safe, people will choose to use it when appropriate. Comfort with ambiguity and self-directed prioritization on a small, still-forming team Product or systems thinking — able to identify and prioritize high-leverage opportunities, not just execute a pre-set roadmap Nice to Have Prior experience in developer experience, platform engineering, or internal tooling Experience evaluating or benchmarking LLMs and coding agents Experience with a systems language such as Go or Rust, in addition to Python Background in security or code-review practices — helpful for reasoning about AI/agent-generated code, though you don't need to be a security engineer Experience in developer relations, technical evangelism, or customer-facing developer advocacy — the same skills that make someone effective in external DevRel translate well to driving internal AI adoption Technical project management experience As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. UK Pay Range £128,770—£178,540 GBP What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .