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Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. THE ADVENTURE AHEAD 🚀 As a Senior Product Engineer II, you bring deep expertise in backend engineering alongside strong working competency across the broader stack. You own complex features and technical initiatives end to end, working across services, APIs, data layers, and integration boundaries to deliver complete solutions. Your primary strength is building reliable backend systems, designing scalable APIs, and shaping cloud native and event driven architectures. You understand how the broader system fits together and can confidently work across frontend and platform boundaries when needed. Beyond your individual technical output, you function as a technical anchor within your squad. You help drive technical direction, mentor peers, coordinate dependencies, and ensure the team can consistently deliver high quality software without creating unnecessary knowledge silos.   THE DAY-TO-DAY ⚒️ - Own complex initiatives end to end Drive multi sprint technical initiatives from architecture through implementation, production deployment, and ongoing evolution. - Build reliable backend systems Design and evolve services, APIs, data models, and asynchronous workflows that support complete customer outcomes. - Work across system boundaries Navigate frontend applications, backend services, data layers, and platform integrations to deliver complete solutions. - Set technical direction Bring deep backend expertise while shaping architecture decisions and engineering patterns across the broader system. - Make durable technical decisions Evaluate complex tradeoffs around consistency, performance, reliability, and security, balancing immediate delivery with long term scalability and maintainability. - Anchor the squad Break down complex work, coordinate technical dependencies, unblock others, and help the team maintain delivery momentum. - Drive engineering excellence Raise the bar for testing, CI/CD, observability, architecture, code quality, and pragmatic technical debt management. - Partner across functions Work with Product, Design, QA, SRE, platform teams, and engineering groups to translate customer problems into reliable solutions. - Level up the team Mentor engineers through architecture discussions, design reviews, code reviews, pairing, and knowledge sharing. YOUR SUPERPOWERS⚡️ - Engineering depth and breadth Six or more years of software engineering experience, with deep expertise in backend engineering and strong working competency across the broader stack. - End to end ownership A proven record of owning complex technical initiatives from architecture through production deployment and operation. - System design expertise Strong understanding of service architecture, APIs, distributed systems, cloud services, and maintainable production software. - Data modelling and databases Strong experience designing and evolving data models, schemas, and access patterns, with an understanding of relational databases, query performance, indexing, migrations, and data integrity. - Asynchronous and event driven systems Experience building reliable background processing, messaging, and event driven workflows across services and integration boundaries. - Production reliability The ability to reason about failure modes, concurrency, retries, data consistency, and performance across services and integration boundaries. - Technical leadership The ability to guide engineers through uncertainty, establish effective architecture patterns, and raise engineering standards. - Integration fluency Comfort navigating unfamiliar systems and safely evolving APIs, service contracts, and integrations, including the frontend applications that depend on them. - Engineering excellence Strong experience with automated testing, CI/CD, observability, monitoring, and pragmatic technical debt management. - Collaborative communication The ability to explain tradeoffs, challenge assumptions constructively, and align Engineering, Product, Design, QA, and platform stakeholders. BONUS POINTS 🌟 - Cloud and event driven systems Cloud native applications using serverless services, messaging, asynchronous workflows, or event driven architecture. - Infrastructure and delivery Infrastructure as Code, CI/CD pipelines, deployment strategies, or production operations. - Backend breadth Experience across multiple backend languages, frameworks, or runtime environments, and confidence choosing appropriate tools for the problem. - Security and tenancy Authentication, authorization, tenant isolation, and secure handling of customer data. - Frontend competency Working experience with modern frontend frameworks, application state, and API integration. - Production observability Monitoring, tracing, logging, metrics, incident diagnosis, and performance tuning. - Technical growth Experience acting as a technical lead or clear progression toward broader Staff level leadership. OUR STACK 🛠️ - Backend and platform systems include Node.js, Go, PHP, Python, AWS, REST APIs, event driven architectures, relational databases, CI/CD, and modern observability tooling. Frontend applications include Angular and modern web technologies. - You do not need deep expertise in every technology we use. We are looking for deep backend expertise, strong software engineering fundamentals, and confidence applying your experience across languages, frameworks, and system boundaries. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: Remote - United States 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 . Role Summary Reddit is a community of communities, built around the conversations, interests, and experiences people share with one another. The Content Ecosystem organization works to grow the community-driven ecosystem that makes Reddit unique. Within it, the Community Builders team focuses on the products and systems that help communities form, grow, and thrive. We are looking for a Staff Product Manager to help define the future of communities on Reddit. This is a rare opportunity to shape one of Reddit’s most important consumer experiences: how people find communities, understand where they belong, connect with others, and participate in ways that make those communities stronger. You will lead highly ambiguous, zero-to-one product work that cuts across discovery, contribution, community identity, recognition, and emerging community formats. This is a high-stakes, high-visibility role for a PM with exceptional product judgment, strong user intuition, and sharp UX taste. You will partner closely with Design, Engineering, Data, Research, and cross-functional leaders to turn ambiguous user and ecosystem problems into compelling product direction, moving fluidly from strategy to product detail and from early exploration through launch, learning, and scale. Responsibilities Identify major opportunities to evolve communities on Reddit, and turn them into a clear product strategy and roadmap. Lead zero-to-one community experiences from problem definition through launch, learning, and scale. Build a deep understanding of members, contributors, community builders, and healthy community dynamics, and translate those insights into high-quality product experiences. Assess ecosystem tradeoffs as you evolve the user experience, including impacts to community health, contribution quality, and member trust. Define goals, success metrics, milestones, and learning plans that connect user value with Reddit’s broader strategy. Partner closely with Engineering, Design, Data, Research, and cross-functional teams to make product tradeoffs and execute in a high-stakes, high-visibility space. Create clarity where there is little precedent, and communicate strategy, decisions, tradeoffs, and learning clearly to senior stakeholders Must-Haves Staff-level consumer product experience owning meaningful product surfaces or systems with measurable user impact. Exceptional product sense, including strong user intuition, problem framing, prioritization, UX judgment, and product taste. Track record leading ambiguous zero-to-one or major product-evolution work from strategy through launch and learning. Experience shaping product bets across multiple surfaces, user journeys, teams, or parts of a broader consumer ecosystem. Strong analytical judgment, including defining success metrics, interpreting evidence, and changing direction when needed. Excellent cross-functional leadership with Design, Engineering, Data, Research, and partner teams; able to resolve dependencies and divergent goals with little direct manager involvement. Nice-to-Haves Experience with community, social, creator, UGC, or marketplace products. Experience shaping user participation, identity, contribution, belonging, or reputation. Experience evolving mature product systems or designing for multi-sided ecosystems with distinct user needs and incentives. Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 — $303,900 USD 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.

Location: Remote - United States 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 . What You'll Do: Reddit is a community of communities, built around the conversations, interests, and experiences people share with one another. Moderators are the heart of that ecosystem: they shape community norms, keep spaces healthy, and help communities grow. As Reddit continues to scale globally, this role will help define how we support moderators, reduce the burden of running healthy communities, and evolve moderation from reactive manual work into proactive, intelligent systems. We are looking for a Staff Product Manager to help define the future of moderation on Reddit. This is a rare opportunity to lead zero-to-one product work at the intersection of user-facing experience, community governance, and cutting-edge LLM systems. You will help Reddit move beyond legacy moderation approaches toward proactive, intelligent, and scalable community enforcement. This role is for a PM with exceptional product judgment, strong user intuition, and enough AI/ML depth to partner closely with Engineering, Data Science, Design, and Safety. The right person can shape compelling user experiences, reason about model quality and tradeoffs, and create clarity in a high-stakes, high-visibility space where the product, technical, and ecosystem decisions all matter. Responsibilities Identify Reddit’s highest-impact opportunities to evolve evolve community enforcement and moderator workflows, and turn them into a clear product strategy and roadmap. Lead zero-to-one development of LLM-powered moderation experiences that are critical to how Reddit scales healthy communities globally. Build a deep understanding of moderators, community members, and healthy community dynamics, and translate those insights into high-quality product experiences. Define success metrics and model/product evaluation criteria that connect user value, community health, and Reddit’s broader strategy. Reason about AI/ML quality, including precision, recall, error costs, coverage, latency, failure modes, human review, and feedback loops. Assess high-stakes ecosystem tradeoffs across community health, moderator trust, user trust, safety, and product quality. Partner with Engineering, Data Science/ML, Design, Safety, Consumer, and senior leaders to drive execution in a highly visible company priority. Communicate strategy, decisions, tradeoffs, and learning clearly to executive stakeholders. Must Haves: Staff-level product experience owning meaningful consumer surfaces or systems with measurable user impact. Exceptional product sense across user intuition, problem framing, prioritization, UX judgment, and product taste. Track record leading ambiguous zero-to-one or major product-evolution work from strategy through launch and learning. Experience building AI/ML-powered products, with fluency in model evaluation and product/model tradeoffs. Strong analytical judgment, including defining metrics, interpreting evidence, and changing direction when needed. Excellent cross-functional leadership with Engineering, Data Science/ML, Design, Safety, and partner teams in ambiguous, technically complex spaces. Nice-to-Haves: Experience with community, social, creator, UGC, trust/safety, or moderation products. Experience with ML-heavy consumer surfaces or policy-sensitive AI experiences. Experience replacing mature systems with a new product paradigm in complex, matrixed organizations. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 — $303,900 USD 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.

Location: Boston, MA; Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY; Washington, DC 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 The Endpoint team (Client Platform Engineering) treats Anthropic's device fleet as a platform we build and run. We run our own MDM as a production service and manage every piece of device configuration as code. Policies, configuration profiles, queries, remediation scripts, and software all ship through pull requests, CI, a staging environment, and a canary group before they reach the fleet. The fleet is mostly macOS, plus a small number of Linux machines and a growing mobile footprint. You'll own that platform end to end: the infrastructure underneath the MDM, the configuration on top of it, the patching and software pipelines that keep thousands of devices patched and secure, and the telemetry that tells us what is actually true on every device. You'll also build automation that cuts down on manual operational work. You'll work with Security teams on hardening, compliance controls, and detection and response, and with developer and infrastructure teams to make sure those controls don't get in the way of their work. Your work will let us base access decisions on whether a device can be trusted. We value people who double check a compliance report before they believe it. The team is deliberately lean and runs with high autonomy. You'll help define the endpoint roadmap, make architecture decisions, and own the platform every Anthropic employee's work runs on. You'll also help us meet the security standards our Responsible Scaling Policy requires as models advance. Responsibilities Own endpoint configuration as code: author, review, test, and progressively roll out MDM policies, configuration profiles, and remediation scripts across macOS and mobile, with canary stages and rollback built in Operate the MDM platform itself as a production service, including infrastructure as code, observability, upgrades, and incident response Build patch management automation with rapid enforcement timelines while maintaining good user experience Design zero touch provisioning that turns a sealed box into a productive machine on day one Support a small number of Linux machines alongside the Mac fleet Turn fleet telemetry into policy, dashboards, and early drift warnings, and use Claude to automate manual ops work Partner with Corporate Security on endpoint hardening, binary authorization, and compliance controls Take shifts on the team's rotation for incoming requests and escalations, and serve as the deep escalation tier for endpoint issues IT Operations can't resolve You may be a good fit if you Have 8+ years building secure IT systems in complex environments, including leading projects across multiple teams Have managed endpoint fleets of thousands of macOS devices through a modern MDM Treat endpoint configuration as code that is version controlled and peer reviewed, rather than clicking in consoles Go deep on macOS internals such as launchd, configuration profiles, TCC, and system extensions Write Python and shell scripts Write design docs and runbooks so teammates can review and support what you build Strong candidates may also have Have operated an MDM or device management platform as a service, not only consumed one as SaaS Have worked with open source endpoint and device management tooling (Munki, osquery, AutoPkg) Have built automated, progressive rollout systems with promotion gated on telemetry Have experience running infrastructure as code in a public cloud Have working knowledge of Linux administration (packaging, systems, config management) Have used LLMs to automate ops work Deadline to apply: None. Applications will be received on a rolling basis. 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: $285,000 — $325,000 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: London Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU’LL DO As a Partnerships Development Lead, you’ll play a critical role in building and nurturing a robust ecosystem of partners and stakeholders around Sierra, amplifying our reach and market impact. - Industry Partnerships: Develop and grow partnerships with key industry players and technology platforms - Strategic Customer Channels: Explore and cultivate alternative customer acquisition channels beyond traditional sales, leveraging Sierra’s ecosystem of investors, partners, and industry influencers to drive inbound interest and adoption - GTM Strategy & Collaboration: Align partnership efforts with Sierra’s broader GTM approach, collaborating closely with Sales and Marketing - Investor & VC/PE Engagement: Build and deepen relationships with VCs and PE firms to position Sierra as a strategic AI partner across their portfolios. Proactively identify opportunities to introduce Sierra to portfolio companies that would benefit from our agents - Industry & Market Expansion: Gather market intelligence, share insights to inform product development, and explore opportunities for potential growth across new market segments and geographies WHAT YOU’LL BRING - 8+ years in business development, strategic partnerships, or related roles in tech - Strong understanding of the VC/PE landscape and experience working with investors - Proven track record of structuring and closing high-value partnerships with senior stakeholders - Ability to engage and maintain relationships with C-level executives, investors, and key decision-makers - Analytical mindset to evaluate partnership opportunities and align them with Sierra’s long-term vision - Ability to navigate ambiguity in a fast-moving startup environment EVEN BETTER… - Prior experience at a high-growth AI or enterprise SaaS startup - Deep expertise in a few of our key industries: financial services, healthcare, telecommunications, media, travel, transportation and hospitality, retain and consumer goods, and/or technology - Experience structuring and managing ecosystem partnerships OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Germany; Poland; Czech Republic; Italy; Spain; Portugal; United Kingdom; Canada; Remote - Europe; Remote; Remote, Worldwide Workplace: remote About Welo Global  Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure, including a network of over 500,000 linguists and domain experts, with advanced NLP, computational linguistics, and best-in-class compliance backed by seven ISO certifications. Welo Global’s five brands—Welocalize (multilingual content and localization services for global enterprises), Park IP (intellectual property and patent translation services for law firms and corporate legal teams), Welo Life Sciences (regulated language and compliance-aligned content solutions for pharmaceutical, biotech, and medical device organizations), Adapt (multilingual performance-led digital marketing agency), and Welo Data (multilingual data generation, evaluation, and human data infrastructure for AI systems)—serve distinct customer segments with purpose-built expertise, fit-for-purpose solutions, and supporting technology. weloglobal.com  The Role  We are seeking an experienced English into Ukrainian Review Lead to serve as the language quality owner and primary client-facing linguistic expert for a leading global technology client.  You will own the locale’s interpretation of the client’s quality standards and make sure that the Post-Editing Lead, Post Editors, and Reviewers all work to the same shared understanding of “good”. You will be the main point of contact for the client’s Language Manager on quality discussions, arbitration, and escalations, and you will drive consistency, quality governance, and continuous improvement across UI, marketing, product, informational, legal, and support content.  Project Details  - Location: Remote (based in one of the approved countries below) - Expected volume: Approximately 24 hours per month - Employment type: Freelance / Independent Contract - Task type: Language Lead Support - Content types: UI, Marketing, Informational, Legal, Product, Support - Language pair: English into Ukrainian  What You Will Do  -Analyse requirements: Review every style guide and glossary update, assess which quality categories and content types it affects, and record the changes. Track what the client’s Language Manager actually corrects and says in calibration and quality calls, not only what is written down. -Relay expectations: Run regular alignment roundtables with the language community and publish a structured monthly quality digest covering performance, priority improvement areas, style guide updates, and notable errors and arbitration outcomes. -Manage review quality actively: Coach Reviewers one-to-one using specific examples, run shadowing sessions, and deliver training built from real alignment data. -Improve the standard: Turn recurring justification patterns into well-reasoned style guide proposals, and share cross-locale patterns with the Welocalize Quality Manager. -Maintain alignment with the client: Treat Language Manager decisions as the standard, raise concerns with evidence at the right forum, and aim for fewer surprises over time. What You Will Own -The locale’s review service score, including RQE audit and alignment performance -The community’s shared understanding of quality  -The integrity of the arbitration record, ensuring that every arbitration sent to the client is valid and well-evidenced -The working relationship with the client’s Language Manager, including clarifications, escalations, and expectation tracking Requirements - Experience: 3 to 5+ years in Localization Quality Assurance (LQA), Senior Language Lead, or Quality Governance roles - Client and stakeholder management: Direct experience as the primary point of contact for client Language Managers, managing formal arbitration or escalation processes, and facilitating conflict resolution - Quality audit frameworks: Deep, practical experience with localization evaluation frameworks, including RQE, LQE, error rubrics, and severity mapping - Style guide and expectation analysis: Ability to analyse style guide changes, identify implicit client expectations, and map tolerance by content type (for example, Marketing vs. Legal vs. UI) - Meeting facilitation: Hands-on experience with one-to-one coaching, shadowing sessions, alignment roundtables, and structured monthly quality reporting - Analytical approach: Skill in tracking error concentrations, severity drift, and alignment scores, and in converting justification patterns into style guide improvements - Language: Native-level Ukrainian and professional-level English - Preferred: Prior experience supporting major technology localization programs and working with calibration or alignment tools Additional Key Information  - Successful candidates will be provided with a dedicated device for project work. - A background check is required as part of onboarding. - Candidates must be physically located in one of the approved countries. Approved countries: Argentina, Australia, Austria, Belgium, Brazil, Bulgaria, Canada, Chile, China, Colombia, Costa Rica, Croatia, Czech Republic, Denmark, Egypt, El Salvador, Finland, France, Germany, Ghana, Greece, Guatemala, Hong Kong, Hungary, India, Indonesia, Ireland, Israel, Italy, Japan, Kenya, Lithuania, Malaysia, Mexico, Netherlands, New Zealand, Nigeria, Norway, Peru, Philippines, Poland, Portugal, Qatar, Romania, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, Taiwan, Thailand, Turkey, United Arab Emirates, United Kingdom, United States and Vietnam.   Why Join Us  This role offers a long-term partnership with global teams on high-visibility products. You will benefit from steady project volume, comprehensive onboarding and ongoing upskilling, and access to established linguistic resources.  If this sounds like the right opportunity, we would love to hear from you.  Beware of recruitment scams. Welo Global and all of its brands never recruit through direct messages on social media or WhatsApp, and never asks candidates to pay money for a job. Official emails come only from @welocalize.com, @welodata.ai, or @hire.lever.co, and all applications go through jobs.lever.co/weloglobal. Be wary of unexpected offers, generic email addresses (such as Gmail or Yahoo), and requests for fees or sensitive information. Report suspicious messages and learn more: Recognizing Scams and Confirming Legitimate Welocalize Communications – Welo Global

Location: Brazil Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client A leading source of multilateral development financing providing loans, grants, and technical assistance to support economic growth and sustainable infrastructure. Operating alongside its private-sector affiliates, the institution leverages public and private capital to address critical regional challenges. Today, it focuses on climate change, innovation, and digital transformation to improve lives across global markets. What You’ll Do Review business and functional requirements and translate them into detailed test scenarios, test cases, and expected results Execute functional, integration, regression, conversion, and end-to-end testing Support System Integration Testing and User Acceptance Testing Validate front-to-back workflows across trade capture, pricing, risk, settlements, collateral, messaging, and accounting Prepare, validate, and maintain test data for functional and integration testing Coordinate with technical teams to support test-environment setup, configuration, and readiness Perform data validation and reconciliation across source systems, trading platforms, and downstream applications Validate interfaces, scheduled tasks, batch processes, reports, messages, and accounting outputs Record test results and maintain requirements-to-test traceability Identify, document, and track defects using Jira and Xray or comparable tools Participate in defect-triage sessions and provide clear reproduction steps, supporting evidence, and impact analysis Work with business analysts, developers, and functional teams to investigate and resolve defects Retest resolved defects and perform regression testing to confirm system stability Support automated test execution and continuous integration processes where applicable Assist with performance, security, and operational-readiness testing Prepare test-execution reports, evidence packages, and readiness documentation Communicate progress, blockers, defects, dependencies, and risks to the QA Lead and project stakeholders Follow established testing standards, quality controls, and project-governance processes Identify opportunities to improve test coverage, efficiency, and overall product quality What You Bring Hands-on experience testing capital-markets or financial-services applications Strong understanding of front-to-back trade-processing workflows Knowledge of financial products and the trade lifecycle Strong knowledge of software-testing principles, methodologies, and lifecycle processes Experience creating test scenarios, test cases, test scripts, and supporting evidence Experience with functional, integration, regression, conversion, and end-to-end testing Experience supporting System Integration Testing and User Acceptance Testing Experience validating interfaces, batch processes, scheduled tasks, reports, and downstream outputs Strong data-validation and reconciliation skills Working knowledge of SQL for test-data analysis and backend validation Experience using Jira and Xray or comparable test- and defect-management tools Understanding of defect lifecycles, severity classifications, triage, escalation, and resolution tracking Strong analytical, troubleshooting, and problem-solving skills Clear written and verbal communication skills Ability to work effectively with QA, development, functional, and business teams Nice to have Experience testing Calypso implementations Familiarity with front-to-back Calypso workflows Experience with the Calypso Automated Testing Tool (CATT) Familiarity with automated testing tools such as Selenium, JUnit, or Cucumber Experience integrating automated tests into CI/CD pipelines Experience with position-conversion or data-migration testing Knowledge of SWIFT messaging, collateral management, or accounting workflows Experience working within a highly regulated banking environment English level Intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: New York, NY Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems , running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. About the role... This is a high-impact L4 TPM role based in New York City, starting in one of Duolingo's fastest-moving pillars: Growth. You'll partner closely with engineering and product leadership to drive complex, cross-functional initiatives that span multiple teams and require someone who can bring structure, alignment, and momentum. Beyond Growth, Duolingo has a growing engineering and product presence in New York, and this role puts you at the center of it, building relationships with senior leaders on the ground and taking on high-ROI initiatives across the org as they come. This is a role for someone who operates at the strategic level: identifying opportunities, shaping programs, and driving outcomes that matter to the business. If you thrive in ambiguity, build trust quickly across engineering and product, and want to have real impact at a company whose product is used by hundreds of millions of people, this role is for you. 🧠  You will... Define and drive the roadmap for high-impact, cross-functional initiatives in the Growth pillar and beyond, aligning engineering and product leadership around a shared vision, sequencing the work, and holding teams accountable to outcomes. Lead organizational change management as engineering teams adopt new ways of working — building alignment, communicating progress to executives and ICs alike, and helping teams internalize new processes and tooling. Lead the delivery of strategic, high-impact cross-functional initiatives from conceptualization to launch, operating with significant autonomy across multiple workstreams. Partner with engineering, product, data science, QA, and executive leadership to ensure communication and alignment; serve as the connective tissue between Duolingo strategy and day-to-day execution. Leverage deep technical expertise to develop detailed plans with key milestones and goals, identify and mitigate risks, resolve dependencies, remove blockers, and ensure timely and smooth launches. Drive decisions when difficult tradeoffs must be made, including those with cross-organizational or company-level impact; model how to navigate hard problems with analytical rigor and a calm, decisive presence. Identify systemic issues impacting delivery efficiency company-wide and take swift, collaborative action to resolve them. Guide and develop other TPMs and engineering leads, scaling best practices across teams and continuously improving how the organization operates. ✅  You have... Proven experience as a TPM, Engineering Lead, or Engineering Manager. B.S. or M.S. in Computer Science or equivalent degree or experience. Demonstrated experience leading large-scale technical transformation programs with measurable organizational impact - you've shifted how engineering organizations think and work, not just shipped projects. Strong executive presence and influence in a matrix environment - able to build conviction among skeptics, align competing priorities across senior leadership, and drive decisions without direct authority. Deep technical credibility - enough to challenge architectural assumptions, spot delivery risks early, and earn the trust of strong engineers. Proven ability to build and implement detailed plans that account for ambiguity, dependencies, and technical complexity - and to re-plan quickly when things change, without losing team confidence or momentum. A track record of standing up new programs or practices from scratch in ambiguous, high-visibility environments. Ability to relocate to NYC. ⭐  Exceptional candidates will have... Strong knowledge of software engineering, systems engineering, or similar hands-on technical experience, in addition to program management experience. Strong conceptual fluency in LLM-based products and AI infrastructure - enough to ask the right questions, challenge technical assumptions, and identify delivery risks. Experience running programs that include machine learning, large datasets, or AI/ML infrastructure. Experience working with AWS at scale. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $181,600 — $272,400 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: London, England Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Global Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. We're looking for a Senior Machine Learning Engineer to join our London office as part of a Global DoorDash Engineering team (working hybrid, 3 days in the office). This role sits in our Consumer Org, where you'll work on recommendation problems with direct, measurable impact on how customers discover relevant content. You’ll collaborate with experienced scientists and engineers across DoorDash, Deliveroo and Wolt, learning from multiple recommendation systems while helping shape the next generation of the experience. What You'll Be Doing Design, develop and improve recommendation, ranking and retrieval models that surface relevant restaurants, dishes, items and content to customers. Own applied ML problems end to end: frame the problem, analyze data, develop models, define offline evaluation, run experiments and monitor production performance. Develop methods that balance relevance with product and customer needs, such as diversity, availability, business constraints and changing user intent. Collaborate closely with Software Engineers, ML Engineers, Product Managers and Analysts to turn scientific insights into reliable customer-facing products. Evaluate and apply state-of-the-art ML methods where they meaningfully improve recommendation quality, robustness or efficiency. Contribute to a high bar for applied-science practice through technical reviews, knowledge sharing and thoughtful experimentation. What You'll Need to Thrive You have substantial hands-on experience applying machine learning to real-world problems and a track record of bringing models from development into production; a PhD with relevant applied research experience is equally welcome. You have experience with recommendation systems, ranking, retrieval, personalisation, or closely related ML problems. You can independently turn an ambiguous customer or product problem into a well-scoped ML approach, make sound trade-offs and drive it to a measurable outcome. You are proficient in Python and experienced with modern ML frameworks and large-scale data processing. You understand how to evaluate ML systems rigorously, including offline metrics, experiment design and interpreting online results. You communicate complex technical ideas clearly and work effectively with cross-functional partners. Why Join Us? At Deliveroo, you'll do work that matters—solving real-world problems in a three-sided marketplace that's constantly evolving. We're food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you're rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: San Francisco, CA; New York, NY; Toronto Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU’LL DO - Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. - Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. - Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency. - Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. EXAMPLE PROJECTS These are some examples of projects that engineers on our team have worked on recently: - Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn - Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations - Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services! - Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development - Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers WHAT YOU'LL BRING - Language fluency - professional fluency in both Spanish and English - Experience building and scaling end-to-end production systems - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments - A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship - Comfort working directly with customers to understand their needs and solve real-world problems - Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences EVEN BETTER... - Experience building or deploying AI/LLM systems in production - Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed - Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go - Previous roles where you interfaced with customers or led technical projects with external stakeholders OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Stockholm Workplace: Remote WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey’s Legal Engineers are skilled lawyers from top-tier law firms who apply their legal experience to ensure that current and prospective customers understand how Harvey’s solutions enhance specific day-to-day workflows, working alongside Harvey’s Account Executives to support all aspects of our sales strategy. Legal Engineers build consultative relationships with law firm partners and associates and in-house attorneys at private equity firms and Fortune 500 companies, becoming trusted advisors on how Harvey’s AI solutions can make them more effective. Similar to how Solutions Architects secure the “technical win” in the sales process, Legal Engineers secure the “legal win” by performing in-depth customer discovery and education on Harvey’s solutions through targeted meetings and demos that resonate with the customer’s day-to-day workflows specific to their legal practice area. Legal Engineers utilize their experience practicing law and their legal mindset to ask thoughtful questions to understand the needs of law firm and in-house attorneys, develop credibility, and then partner with Account Executives to educate them on Harvey’s value via large and small group sessions as well as one-to-one conversations. WHAT YOU'LL DO - Engage with English- and Swedish-speaking lawyers at existing and prospective customers to understand their workflow challenges, strategic objectives, and broader firm context — then demonstrate how Harvey’s AI solutions can address them. - Establish yourself as a credible expert in solving customers’ specific legal problems (e.g. researching public and private databases for certain types of information, drafting and analyzing contractual provisions and whole documents, analyzing briefs and filings, corporate governance, conducting due diligence). - Lead product demonstrations tailored to the context of various law firm practice groups and in-house legal teams, asking questions to validate how Harvey can add value and then showcasing Harvey’s features and benefits relevant to each prospective client’s potential use cases. - Partner with the marketing team to develop content that will resonate with lawyers, tailored to the unique needs of their practice areas and client types. - Act as the “Voice of the Customer,” using your legal perspective to help the broader sales team to develop and implement more effective strategies and synthesize customer feedback for the product team through a legal lens. - Tailor the introduction of new solutions to specific customer needs. - Further the market perception of Harvey as uniquely credible, substantive, and helpful in applying its AI solutions to make lawyers better at their jobs. - Conduct research and analysis on customers and competitors. WHAT YOU HAVE - JD or equivalent legal qualification. - Fluent in Swedish and English. - At least 3 years of experience practicing law at a top-tier law firm, preferably with a corporate or litigation focus. - Executive engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levels. - Outstanding presentation skills to both legal and executive audiences, whether impromptu on a whiteboard or using presentations and demos. - Strong understanding of legal processes and challenges faced by legal professionals. - Curiosity about AI’s potential to transform the legal industry. - Sales or customer-facing experience, including law firm business development and/or secondment, is a plus, as is experience directly managing law firm client matters and client relationships. ADDITIONAL INFORMATION - Location: Sweden - Work eligibility: Must have valid Swedish work rights; Harvey does not currently offer visa sponsorship for this role. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-LM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: São Paulo, Brazil Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client A major Brazilian financial institution specializing in investment banking, wealth management, and corporate lending. The customer develops secure digital banking platforms and financial solutions to serve a diverse global client base. What You’ll Do Administer, support, and optimize critical database environments, with a primary focus on SQL Server Maintain database availability, performance, security, integrity, and resilience Monitor database health, performance, capacity, and resource utilization Perform performance tuning and optimize SQL queries, indexes, execution plans, and database structures Conduct capacity planning and recommend improvements based on projected growth and business demand Troubleshoot and resolve complex database, application, and infrastructure issues Implement and manage backup, restore, replication, contingency, and recovery strategies Support Disaster Recovery planning, testing, and execution Participate in database migration and modernization projects, particularly within AWS environments Support the evolution of database architectures, administration standards, and technical best practices Collaborate with Development, Infrastructure, Cloud, Security, and Architecture teams Support development teams with SQL query optimization and physical data modeling Identify opportunities to automate recurring database-administration activities Improve operational efficiency through automation, monitoring, and standardized procedures Maintain technical documentation, operational procedures, and recovery runbooks Participate in incident response and problem-management activities for critical environments What You Bring Middle-level experience in database administration Strong hands-on expertise with Microsoft SQL Server Experience supporting critical, large-scale, or mission-critical database environments Experience working within banking or financial-services environments Strong knowledge of high availability, database security, performance optimization, and Disaster Recovery Experience working with cloud and hybrid environments, preferably AWS Hands-on experience with backup, restore, replication, contingency, and environment-recovery processes Strong SQL troubleshooting and performance-tuning skills Experience optimizing queries, indexes, execution plans, and database structures Understanding of capacity planning, monitoring, and database-health management Knowledge of infrastructure, operating systems, storage, and networking Experience supporting database migrations or modernization initiatives Ability to diagnose and resolve complex technical issues Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field Analytical, proactive, collaborative, and solution-oriented mindset Nice to have Experience with Oracle, PostgreSQL, or MySQL Knowledge of NoSQL databases Experience with Python, PowerShell, or other automation and scripting technologies Microsoft, AWS, or comparable technical certifications Experience working with Infrastructure as Code or automated cloud-provisioning tools Familiarity with Agile methodologies English level Advanced Work Type: Hybrid Location: São Paulo, Brazil Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: Cairo, Egypt; Alexandria, Egypt Workplace: hybrid About Yassir:   Yassir is the leading super app in the Maghreb region, set on changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia, with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world. We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. We're helping usher the continent into a digital economy era, not just by serving people, but by building a marketplace that brings people what they need while infusing social values. About the Role Yassir's marketplace runs on decisions made millions of times a day: which driver gets which trip, what a ride should cost, when an order will arrive, which transaction looks fraudulent, who qualifies for credit. We are looking for a Product Manager who owns the machine learning systems behind those decisions and is accountable for their measurable impact on the business. This is a product role for ML-heavy, data-intensive products. You will lead discovery from data rather than from opinion, frame business problems as problems a model can actually solve, define what success means both offline and in production, and prove impact through well-designed experiments. You will work closely with data scientists, ML engineers and data engineers, and with product and operations partners across ride-hailing, delivery and financial services. What This Role Is (and Isn't) This role centres on predictive and decisioning ML: ranking, matching, forecasting, pricing, risk and personalisation. Experience building LLM or agentic features is welcome, but it is not a substitute for the fundamentals below. If your ML product experience is primarily integrating third-party models or APIs into user-facing features, this role is likely not the right fit. Responsibilities Data-led discovery: Identify and size ML opportunities by going into the data yourself. Diagnose where the marketplace is losing value (supply-demand imbalance, cancellations, ETA error, fraud losses, default rates) and translate it into a prioritised, quantified problem backlog. Problem framing: Turn business problems into well-posed ML problems: define the prediction target, the decision it informs, the unit of analysis, label availability and quality, and the cost of different error types. Know when a problem does not need ML and a rule or heuristic will do. Metrics and success criteria: Define the chain from model metrics (e.g. precision/recall, calibration, MAE) to product and business metrics, and own guardrail metrics. Understand why offline gains often fail to translate online, and plan for it. Experimentation and causal inference: Design and interpret controlled experiments, including in two-sided marketplace settings where interference makes standard A/B tests unreliable (switchback, geo or cluster-randomised designs). Reason about statistical power, novelty effects and heterogeneous impact across cities and segments. Distinguish correlation from causation, and know which quasi-experimental methods to use when randomisation isn't possible. ML product lifecycle: Own models from framing through data requirements, baseline, iteration, launch, monitoring and retirement. Partner with engineering on rollout strategy, model monitoring, drift detection, retraining cadence and failure modes. Treat a model in production as a product that degrades if unattended. Roadmap and trade-offs: Own the ML product roadmap across domains and countries. Make explicit trade-offs between accuracy, latency, cost, interpretability, fairness and regulatory requirements, especially in credit and financial services. Stakeholder alignment and visibility: Make the impact of ML work legible to non-technical leadership. Communicate results, including null and negative results, with rigour and clarity. Align product, operations, risk and marketing partners on shared objectives. Leadership and culture: Raise the bar on how the organisation makes decisions with data. Mentor peers, build a culture of feedback and trust, and invest in your own growth and that of those around you. Requirements 4+ years of product management experience, including at least 2 years owning ML-driven products that run in production and influence core business decisions (e.g. pricing, matching, ranking, forecasting, fraud, credit risk, recommendations). Hands-on fluency with data: you can write SQL, explore data independently and challenge an analysis without waiting for someone else to run it. Demonstrated experience designing, running and interpreting controlled experiments, and a solid working understanding of causal inference. Strong understanding of core ML concepts: supervised learning, evaluation metrics and their trade-offs, overfitting and leakage, bias, calibration, and the relationship between offline and online performance. A track record of shipping ML products where you can clearly articulate the problem framing, the metrics chosen, the experiment design and the measured business impact, including what went wrong. Experience working with distributed or remote teams across multiple markets. Experience in marketplaces, mobility, on-demand delivery or fintech is a strong plus. BSc/MSc in Engineering, Computer Science, Statistics, Data Science or a related quantitative field.

Location: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Team The Semantic Layer team owns the systems that turn dbt models into trusted, reusable business metrics. At the heart of this is MetricFlow — the open-source semantic engine that powers the dbt Semantic Layer. MetricFlow lets data teams define metrics once in code and consume them consistently across BI tools, notebooks, AI agents, and downstream applications. This team is the steward of MetricFlow as an open-source project: shipping releases, reviewing community contributions, evolving the query compiler, and ensuring it integrates cleanly with the broader dbt ecosystem. You'll work at the intersection of language design, query compilation, and distributed data execution — solving problems that directly shape how thousands of organizations measure their business. About the Role We're hiring a Senior Software Engineer to join the Semantic Layer team in Bangalore. You'll be a core contributor to MetricFlow — designing features, optimizing query generation, hardening the open-source codebase, and partnering with the community of contributors and adopters around it. This is a high-ownership role: you'll write production code, drive technical decisions, and help shape the long-term architecture of one of the most important projects in the modern data stack. What You'll Do Design, build, and maintain core features of MetricFlow, including metric definitions, query compilation, dimensional modeling, and SQL generation across multiple data warehouses (Snowflake, BigQuery, Databricks, Redshift, and others). Own MetricFlow as an open-source project — triage issues, review external pull requests, manage releases, and engage the community on GitHub and in Slack. Collaborate with engineers across dbt Cloud, dbt Core, and the Semantic Layer service to ensure MetricFlow integrates seamlessly with the rest of the dbt ecosystem. Improve performance, reliability, and observability of metric query execution at scale. Partner with product, design, and developer-relations teammates to translate customer and community feedback into shipped improvements. Write clear technical documentation, RFCs, and design docs that raise the bar for how the team thinks and ships. Mentor other engineers through code review, pairing, and technical guidance. Skills We're Looking For Strong professional software engineering experience, with a strong track record of shipping production systems. Deep proficiency in Python , including modern typing, testing practices, and packaging. Strong SQL fundamentals and a working understanding of how analytical query engines and data warehouses execute queries. Experience designing systems that involve parsing, compilation, or transformation — for example: query planners, DSL compilers, type systems, or rule-based engines. Solid grasp of software design principles: clean APIs, modularity, testability, and backwards compatibility. Excellent written and verbal communication — you can explain complex tradeoffs clearly to engineers, PMs, and external community members. Experience collaborating in a distributed, asynchronous team environment. Bonus Skills (Optional) Prior experience contributing to or maintaining a popular open-source project. Familiarity with dbt, MetricFlow, LookML, Cube, or other semantic-layer technologies. Background in data warehousing internals, query optimization, or analytical SQL dialects. Experience with CI/CD, GitHub Actions, and release engineering for Python libraries. Exposure to building developer-facing APIs, SDKs, or CLIs. Why Join Us Impact at scale: Your code will run inside the data platforms of tens of thousands of companies, including some of the world's largest enterprises. Open-source ownership: You'll be a public, named maintainer of a foundational project — your work is visible, reviewed, and used by the global data community. A team that values craft: We invest in design docs, code review, and durable engineering. We ship fast, but we don't ship sloppy. Competitive compensation: Market-leading salary, equity, comprehensive health insurance, generous time off, learning & wellness stipends, and home-office support. Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Amsterdam, Netherlands 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 . The EMEA Mid-Market international team is responsible for building the international ads engine outside of the US, onboarding & growing advertisers to achieve their marketing objectives with proven solutions and at pace globally. This is an opportunity for you to be part of the team that expands the Reddit footprint: design the strategy, develop a high performing sales team and bring the magic of Reddit into new markets! We're looking for sharp, positive and motivated self-starters to help us build this team from the ground up! In addition to laying the foundation of the team We're introducing a new role into our Mid market team that is end to end responsible to grow our book of business, managing both the pre and post sales journey of our clients. You will be responsible for your own book of Business, taking full ownership of strategic conversations, implementation & optimisations to grow the accounts. You will build & maintain a relationship at both client direct & agencies to meet their business objectives using Reddit's advertising suite. You will work closely with the wider Mid Market DACH Team to define best practices, treatments and process improvements that allow for more sustainable growth, efficiency or scale. This role is required to work in person from our Amsterdam office. Reddit offer a generous relocation package. Core Responsibilities : Act as the CEO of your book of business, and take full ownership of strategic bets, revenue forecasting, and ensuring operational rigor. Generate advertising revenue from assigned clients via ad agencies and advertisers directly, ensuring their needs are met and exceeded Responsible for revenue quota of assigned book of business each quarter Develop and execute strategic sales plans to meet and exceed revenue targets. Own client meetings from agenda to final presentation, instilling confidence and setting all interactions up for success by appropriately setting client expectations, identifying outcomes, and communicating clear next steps Act as the primary point of contact for clients to communicate major platform updates, releases, changes, and/or opportunities that will deepen or expand the relationship Provide strategic, proactive, and consultative advice to clients in order to uplevel and grow the relationship; Identify areas of additional opportunity within existing client relationships, including new lines of business, and move them through to close Communicate feedback on our sales processes, narratives, and products in order to advocate for customers and improve the team's effectiveness and efficiency Implement & optimize campaigns ( with the help of account strategists) to meet our clients’ advertising objectives through performance-driven or awareness campaigns Pull and analyze data to compile compelling and actionable insights to move your clients' businesses forward. Recognize and represent client needs and asks to cross-functional stakeholders Proactively and continually identify areas of improvement Qualifications: 5+ years of relevant experience in online media sales (platform experience preferred) Strong understanding of the media landscape across the DACH region Client-facing experience in advertising sales, account management, or paid social campaign management Experience in monitoring marketing campaign performance, and make manual optimizations or strategic recommendations as needed Experience in Pulling and analyzing data to compile compelling and actionable insights to move your clients' businesses forward. Fluent in English & German Users-first orientation Positive outlook, team player Demonstrated high achievement against sales targets Motivated self-starter who thrives in unstructured environments Solid understanding of customer marketing funnel and traditional marketing ecosystem Experience working with Excel/Gsheets and delivering actionable insights Understanding of digital measurement, tracking fundamentals and mobile measurement partners Tenacious and entrepreneurial approach to working through product, process, and client challenges Demonstrated ability to cultivate strong relationships with external partners Benefits Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Private Pension plan with Employer-matching 100% employer-sponsored group medical plan Income Replacement Programs Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave 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.

Location: Remote - Worldwide Workplace: onsite Coinspaid Dev is the engineering brand behind the technology, infrastructure, and R&D expertise built within Coinspaid. With more than 120 engineersand over 11 years of industry experience, Coinspaid Dev brings together software engineering, infrastructure, security and R&D teams with experience building distributed systems and blockchain infrastructure operating across more than 20 blockchain networks. Coinspaid Dev emerges as an independent engineering brand with a straightforward mission: to advance blockchain infrastructure engineering and contribute practical expertise back to the industry. The structure is new. The experience behind it is not.   Director of Technology Operations We are building the next operating model for a ~150-person technology organization behind production-critical financial infrastructure. We are looking for a Director of Technology Operations to lead that transformation. This is not a traditional infrastructure or IT operations role. The mandate is to evolve Technology Operations from a primarily reactive model toward a scalable organization built around clear ownership, platform engineering, automation, self-service, operational excellence, resilience and measurable outcomes. You will initially lead several established technology functions through their existing Heads and Leads, with approximately 25 people across Platform/DevOps, Corporate IT and Operational Excellence. The mandate is broader than the initial team size: you will help shape the operating model of a ~150-person technology organization and build capabilities designed to scale significantly beyond today's structure. Your responsibility will go beyond managing these teams. You will help shape how the broader technology organization operates: how production services are owned, how incidents and changes are managed, how engineers consume infrastructure capabilities, how operational risks are identified, and how recurring manual work is systematically eliminated. A major part of the role is organizational transformation. We expect you to assess the current model, challenge it where necessary, define the target state, develop the leaders underneath you, and deliver measurable improvements rather than simply introduce new processes. The goal is straightforward: as the company grows, Technology Operations should become more reliable, resilient and scalable while requiring less manual coordination, less operational toil and less executive intervention. What you will do Lead the transformation of Technology Operations across Platform/DevOps, Corporate IT and Operational Excellence, moving the organization from reactive operations toward ownership, automation, self-service and measurable outcomes. Define the Technology Operations strategy, target operating model, organizational structure, responsibilities, priorities and transformation roadmap. Lead multiple established technology functions through Heads, Leads and other managers, creating clear accountability and developing leaders who can operate with increasing autonomy. Lead the evolution of DevOps toward a Platform Engineering model that reduces operational toil, increases self-service and improves developer productivity while maintaining reliability and security. Partner with Engineering to establish a "you build it, you own it" model, where product teams retain ownership of their services in production while Technology Operations provides the platform, standards, tooling and operational framework that enable them to operate reliably. Develop Service Management toward Operational Excellence: strengthen service ownership, incident and problem management, introduce risk-based change governance, reduce unnecessary manual controls, and use operational data to eliminate systemic causes of failures. Transform Corporate IT toward a secure, automated employee technology model, with strong identity and access lifecycle management, device management, governance and employee self-service. Continuously assess the current organization, technology landscape and operating model, identify structural and operational gaps, and turn them into concrete improvement initiatives. Improve the maturity, reliability, scalability and efficiency of technology operations supporting production-critical systems. Define meaningful operational metrics and use them to identify systemic problems, measure transformation outcomes and drive improvements rather than simply report performance. Own the Technology Operations contribution to digital operational resilience, including ICT business continuity, disaster recovery, backup and restoration, resilience testing, recovery objectives, crisis readiness, and remediation of findings from incidents and resilience exercises. Partner with Security, Risk and Compliance to maintain an effective ICT risk management and control environment, including technology risk identification, critical service dependencies, ICT third-party risk, resilience testing, audit readiness and regulatory remediation. Ensure operational and technology risks are identified early, understood, prioritized and addressed appropriately. Support the company through audits, certifications, regulatory requirements and other controls relevant to financial and technology organizations. Own and optimize budgets, technology vendors, infrastructure investments and external partnerships within the function. Partner closely with Engineering, Security, Risk, Compliance, Product, Finance and other business functions. Represent Technology Operations in cross-functional and executive discussions and communicate complex technology and operational topics clearly to different audiences. Help prepare the technology organization for the next stage of the company's growth, including increasingly complex enterprise customers, new products and a larger engineering organization. What we are looking for Significant leadership experience in Technology Operations, IT Operations, Infrastructure & Operations, Platform/Production Operations, Platform Engineering or a comparable technology function. Experience as a manager of managers, with responsibility for several teams or functions through Heads, Engineering Managers, Team Leads or equivalent leadership roles. Previous experience as a Technology Director, VP/Head of Technology Operations, Platform/Infrastructure leader or in a comparable senior role within a product engineering organization is highly relevant. Proven examples of significant organizational or technology transformation: changing operating models, building or restructuring functions, introducing new capabilities, increasing operational maturity, scaling teams or materially changing how technology organizations operate. Experience leading or evolving DevOps, SRE or infrastructure capabilities toward Platform Engineering, including developer self-service, automation and reduction of operational toil. Strong understanding of modern production ownership models and the relationship between Platform Engineering and product engineering teams. Experience with production-critical systems where availability, reliability, security and operational failures have direct business impact. Experience with IT and Service Management in modern product/engineering environments, including incident, problem and change management. Experience transforming Corporate IT or employee technology environments, including identity/access lifecycle, endpoint/device management, automation, governance and employee self-service. Practical experience with business continuity, disaster recovery and operational resilience in production-critical environments, including BIA, RTO/RPO, backup and restoration, resilience testing and remediation. Experience working with Security, Risk and Compliance teams and managing technology and operational risks. Exposure to audits, certifications, regulatory requirements and operational controls relevant to financial institutions or other regulated environments. Working knowledge of regulatory frameworks relevant to technology operations in financial services, such as DORA, and the ability to translate regulatory requirements into pragmatic engineering and operational controls, is a plus. Experience managing budgets, vendors, contracts and technology investments. Ability to operate effectively when requirements, organizational boundaries or the final solution are not yet fully defined. Track record of developing leaders and building teams that can operate without constant escalation or executive intervention. Ability to move between strategic topics and operational problems: understand what requires executive attention, delegate what should be owned by your leaders, and personally step in when the situation requires it. Strong stakeholder management and communication skills, including the ability to work effectively with technical teams, senior business stakeholders and executive leadership. Experience in fintech, payments, banking, financial infrastructure or another regulated and production-critical technology environment would be highly valuable. How we think about this role We are not looking for a traditional IT or infrastructure leader whose primary focus is maintaining existing systems and following established processes. We need someone who is comfortable entering an environment where not everything has already been defined — and who sees that ambiguity as part of the mandate. You should be able to understand how the organization actually operates today, distinguish symptoms from systemic problems, bring the right people together, make decisions with incomplete information, and turn those decisions into measurable organizational and technology improvements. You will not be expected to solve every problem personally. A major part of your role will be to build strong Heads and Leads who can own their areas independently, while you focus on the most important organizational, strategic and cross-functional challenges. At the same time, limited resources, legacy approaches or imperfect processes should be constraints to work with — not reasons why progress cannot happen. What success looks like Within the first 6–12 months, we expect to see measurable movement in addition to plans: reduced recurring operational toil; increasing developer and employee self-service; stronger and clearer service ownership; fewer repeated incidents and systemic operational failures; more risk-based and automated change management; improved developer and employee experience; clearer operational and resilience metrics; measurable progress toward a Platform Engineering model; stronger operational resilience and risk management; and Heads and Leads operating with greater autonomy. You will have established a clear target operating model and transformation roadmap, but success will not be measured by the existence of the roadmap itself. It will be visible in how the organization operates. Success means the organization requires less manual coordination and executive intervention while becoming more reliable, resilient, faster and more scalable. Why join CryptoProcessing by Coinspaid You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact. At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so. We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work. Flexible Benefits Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses. Work & Flexibility Fully remote work from almost anywhere Optional offices and relocation support Flexible, async-friendly environment Growth & Learning Budget for courses, certifications, and professional development Language learning support Cross-team learning and knowledge sharing Wellbeing & Support Medical insurance or reimbursement depending on location Access to mental health support Financial support for important life events Extras Merch shop with rewards system Team offsites and company events Sounds good? Well then, we can’t wait to see your resume! To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/

Location: European Union About Toloka At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing ove r 100 countries and speaking 40+ languages. We are a well-funded startup with an enviable portfolio of clients including Anthropic, Amazon, Microsoft, Poolside, Recraft, and Shopify. Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin, CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world : USA, UK, the Netherlands, Serbia , and more. About the Team We are the ML team inside Toloka — we build the machine-learning products that power the platform itself, so every project running on Toloka is faster, cheaper, and more reliable. A few examples of what we own: Enterprise post-training- we are helping real companies by providing them small LLMs that beat frontier models in quality at a fraction of the cost. Off-the-shelf post-training - we are conducting research on datasets we deliver to clients, showing that training on these datasets will improve their performance. Fine-tuning and RL — adapting frontier and open-source models to Toloka's tasks to hit the right quality at the right cost. Evaluation, benchmarking, cost modeling, and model selection across providers. LLM QA — the core technology behind Toloka's automated quality-check mechanism. Every annotation flowing through Self-Service is reviewed by an LLM agent we design, train, and operate. We own the full chain. The same team designs the ML solution, ships it to production, keeps it running 24/7, analyzes the results coming back from real projects, and feeds that signal into the next iteration. No hand-off between research, engineering, and operations — it's all us. About the Position As a Principal ML Researcher, you will define the overarching technical vision, research strategy, and architecture for Toloka’s core ML and post-training stack. In this high-impact role, you will bridge frontier AI research and large-scale platform engineering. You will lead technical strategy across greenfield post-training paradigms (such as GRPO, process/outcome reward modeling, and RLAIF), architect resilient automated evaluation ecosystems, and set the standard for how foundation models are adapted and served on our platform. As a technical authority, you will mentor senior ML engineers, collaborate directly with executive leadership, and represent Toloka in the broader AI research community. What you’ll do Drive Technical Strategy: Define the multi-quarter strategy and architecture for Toloka’s post-training stack, ensuring our fine-tuning, RL, and evaluation capabilities stay ahead of industry trends. Architect Greenfield Post-Training & RL Pipelines: Spearhead the transition beyond basic SFT into advanced RL frameworks (GRPO, PPO/DPO, reward modeling, Process Reward Models, and RLAIF) to power platform-wide LLM alignment and agent behavior. Pioneer Next-Gen Evaluation Harnesses: Design and calibrate bulletproof automated evaluation ecosystems, including human-aligned LLM-as-a-judge frameworks, dynamic benchmarking suites, and regression control setups. Advance Distillation & Inference Optimization: Lead research initiatives on model distillation, quantization, context compression (e.g., gisting), and speculative decoding to optimize latency-cost trade-offs at platform scale. Shape Agentic Platform Capabilities: Architect autonomous guiding agents and tool-use workflows, establishing foundational frameworks for multi-step reasoning, self-correction, and evaluation-driven feedback loops. Technical Leadership & Mentorship: Elevate the engineering and research bar across the team through architectural design reviews, hands-on mentoring of Senior ML Researchers, and establishing best practices for reproducible ML R&D. Cross-Functional & Community Influence: Partner with Product and Engineering directors to translate complex client challenges into scalable platform architecture; author high-impact research write-ups, blog posts, and external tech talks. What we're looking for 6+ years in ML engineering or applied research, with 3+ years of proven track record leading LLM post-training, fine-tuning, or alignment initiatives at scale. Deep theoretical and practical mastery of LLM alignment: SFT, LoRA/PEFT, RLHF/RLAIF (GRPO, DPO, PPO), reward modeling, and reasoning-oriented post-training. Mastery of LLM Evaluation & Calibration: Proven history of building evaluation pipelines from scratch, addressing LLM-as-a-judge biases, and tightly calibrating automated evals against human gold standards. Expert Distributed Training & Systems Engineering: Strong proficiency in Python, PyTorch, distributed training frameworks (Deepspeed, Megatron, FSDP), and high-performance inference engines (vLLM, TensorRT-LLM). Architectural Vision & Product Leadership: Demonstrated ability to map ambiguous technical challenges into robust platform features, balancing state-of-the-art research with production reliability and cost constraints. Technical Authority: Proven experience acting as a technical leader, mentoring senior researchers/engineers, and influencing cross-functional roadmaps. Language: Fluent spoken and written English (C1), with clear communication skills to articulate complex technical concepts to both internal teams and external clients/community. What we can offer You will be part of an international, dynamic environment that drives innovation and sets new standards in the AI and technology sector. Competitive compensation package including base salary, bonus, and ESOP. Paid PTO and benefits will vary depending on location. We offer a full remote or hybrid model (if you are based in NL or Serbia). IT setup and home office allowances. Equal Opportunity Employer: Toloka is committed to providing equal opportunity and fostering an inclusive environment. We welcome applications from all qualified individuals and do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, gender identity, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Selection decisions are made based on qualifications, merit, and business need. [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants. Please be aware: Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc, or other personal or seemingly business email accounts. Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance! To learn how we collect, use, disclose, and store personal data, check out our Privacy Notice .

Location: Vilnius, Lithuania Workplace: remote MailerLite is one of the fastest-growing email marketing services. We help more than 1 million businesses around the world to keep in touch with their customers. Today, we are a team of more than 170 dreamers, adventurers, and world travelers passionate about what we do and believe in. And we are ready for another talented person to join the party. We're looking for a Technical Lead for our Audience Growth team. The team owns everything that helps our customers grow their audience: signup forms, landing pages and websites, subscriber imports, preference centers and social integrations. You'll lead the engineers, shape the technical direction with your product and design partners, and stay close enough to the code to build the hard parts yourself. Why MailerLite? Wondering why we think you’ll lov e working at MailerLite? Here are 6 reasons! You'll own the front door of every audience Every subscriber our customers gain comes through something your team built. Your work directly decides how well creators, coaches and small businesses grow, and you'll see the impact in the numbers. You'll grow, develop and evolve We’re always looking for new, innovative ways to offer value to customers. You'll be learning constantly, and trying out new things. You'll take ownership We trust you to work independently and take complete responsibility for your tasks, from start to finish. You’ll have experts on hand Your teammates with a wide range of different expertise are there to help. We’re all about sharing and learning and we’d love for you to share your knowledge too! You'll pick where you work We embrace a remote-first culture, with a globally distributed team, empowering you to choose the environment where you’re most productive. You'll have stability We value a stable workplace! MailerLite has been thriving for over 10 years and our year-over-year growth continues to increase. Let’s grow together! What you will work on Lead a team of engineers Work with the product manager and designer from discovery through delivery Own our landing page and website builders, signup forms, subscriber imports, preference centers and opt-in flows Build and maintain integrations that bring subscribers in from other platforms Keep forms, imports and opt-in flows fast, reliable and resistant to abuse Own your team's areas end to end in production: quality, performance, monitoring and fixing things when they break Set the bar through code review, pairing and mentoring, and help engineers grow into more ownership 6+ years building production web applications, with strong PHP and Laravel experience Solid modern JavaScript, ideally Vue 3. Much of this team's work is rich, interactive UI such as builders and editors Experience leading engineers technically, as a tech lead, senior engineer with lead duties, or similar Experience designing and maintaining REST APIs and working with third-party APIs and OAuth Good relational database skills (PostgreSQL preferred) and experience with background jobs and queues A product mindset: comfortable joining customer research, challenging requirements and measuring results after launch Excellent written and spoken English Comfort working async in a remote team Based in EMEA region Nice to have Building drag-and-drop editors or page builders Integrations with social platforms (e.g. Meta APIs) or WordPress plugin development Understanding of consent and opt-in requirements such as GDPR and double opt-in Bot and abuse protection for public forms Shipping AI-powered features, or using AI-assisted development tools in your daily work What we offer Yearly gross salary range: €70,000-€90,000 Remote-first culture with the team working remotely from all over the world International health insurance provided with coverage in most countries. Monthly healthcare payout available in select countries where coverage is limited Company-paid retreats. Once per year we gather for a week in an exotic location to work, learn and have fun together 31 days of vacation per year. We encourage you to unplug and recharge! 12 paid sick days for your physical and mental well-being, no doctor's note required. Parents can use them to care for their sick children 4 creative days. One paid day off per quarter to do something creative and fun 12 parental days per year. Enjoy one paid day off each month to treasure time with your children Parental leave. Enjoy paid bonding time at 100% of your salary when welcoming a new child into your family through birth or adoption - 3 months for primary caregivers and 1 month for secondary caregivers Joy Budget. Annual allowance to spend on what brings you joy, starting at $1,000 per year and increasing over time MacBook and other tools that'll help you to do your job efficiently