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Location: Remote, AMER Workplace: Remote Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. We’re seeking a Customer Solution Architect Team Lead to captain a high-performing team of Customer Solutions Architects and help drive the adoption of Supabase across a diverse range of customers: from agile startups building towards their first launch to established brands with highly scaled workloads. This role will support the East Coast region across the Americas. As the CSA Team Lead, you will be responsible for both people management and customer outcomes - supporting team execution while developing repeatable best practices across pre-sales discovery, proof-of-value onboarding, and technical success. WHAT YOU’LL DO At Supabase, CSA Leads oversee a portfolio of high-value customers by empowering their team to deliver technical excellence and long-term customer success. You'll work directly with the team to: - Hire, coach, and grow a global team of CSAs who serve as trusted technical advisors to our customers. - Collaborate with Sales, Product, and Engineering to define and scale the CSA motion across the full customer journey—from discovery through adoption and renewal. - Create structured onboarding, training, and development plans for CSAs to level up in technical storytelling, Postgres optimization, and customer success strategy. - Ensure CSAs consistently deliver successful outcomes, unblock adoption, and drive value for paid Team and Enterprise accounts. - Work directly with strategic customers when needed—especially during complex escalations, architectural deep dives, or critical onboarding milestones. You'll be joining our team to support Supabase Team & Enterprise customers, where you will be expected to lead and innovate around the following areas of responsibility: PRE-SALES DISCOVERY: - Lead and review technical discovery led by CSAs to uncover business and technical objectives, set appropriate expectations of the Supabase platform, and define the criteria for success. - Guide CSAs in designing and presenting platform demonstrations tailored to high-value customers, helping them clearly articulate the value of the Supabase platform and team. - Collaborate with Growth team members to size deals, provide anticipated usage estimates, and identify potential workloads supported by the Platform. PROOF-OF-VALUE ONBOARDING - Support your team in defining and executing proof-of-value scopes that balance business outcomes with low-friction onboarding. - Ensure CSA-owned timelines, success criteria, and engagement tactics result in a high proof-to-conversion success rate. - Build reusable onboarding flows (email sequences, docs, templates, webinars) that accelerate time-to-value for new customers. CUSTOMER SUCCESS & EXPANSION - Help your team build detailed account plans focused on both short-term adoption and long-term expansion opportunities. - Provide ongoing technical coaching for CSAs conducting architecture reviews, schema design evaluations, and performance tuning for production workloads. - Partner cross-functionally to advocate for customer feedback, share emerging customer needs with Product & Eng, and communicate roadmap milestones back to customers. TRUST & PLATFORM ADVOCACY - Coach CSAs to act as internal and external champions of Supabase, building trust with customers through consistency, clarity, and deep product expertise. - Uphold a standard of excellence in customer engagement, ensuring Supabase becomes embedded in the way our customers build. PREFERRED EXPERIENCE - 6+ years of experience in Solutions Architecture, Technical Account Management, or Database Engineering. - 2+ years of people management or team leadership experience, ideally in a high-growth, technical startup environment. - Strong background with relational databases (PostgreSQL preferred), with a deep understanding of schema design, indexing, and query performance. - Hands-on experience building modern web applications using frameworks like React, Svelte, Vue, or Node.js. - Clear, confident technical communicator and storyteller. Must be able to distill complex technical topics into actionable outcomes for customers and team members alike. - Experience navigating stakeholder alignment, conflict resolution, and collaborative problem-solving across teams. - Familiarity with tools such as HubSpot, BigQuery, and internal BI dashboards. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp's Strategic Finance team sits at the center of how the company allocates its time and resources. We're hiring across three complementary tracks — and looking for people with sharp financial instincts, a builder's mindset, and the drive to take on a large scope quickly. Whether you lean toward GTM strategy, FP&A infrastructure, or broad strategic partnership, this is a rare opportunity to shape a pre-IPO company at a pivotal moment in its growth. WHAT YOU'LL DO - Build and own detailed financial and operational models with the highest quality and accuracy - Use data to influence key strategic decisions across Product, GTM, and business leadership - Lead planning analyses for cross-functional teams, evaluating tradeoffs across growth, efficiency, and resourcing - Identify and develop KPIs; build dashboards to monitor performance and communicate insights to stakeholders - Partner closely with business leaders to translate strategy into execution and drive accountability - Help run bi-annual budgeting and headcount planning cycles - Manage company performance against financial targets — identifying where to course-correct and where to accelerate - Build and maintain internal tools that reduce manual work and improve data accuracy across the finance org WHAT YOU NEED - 1–4 years in Investment Banking, Management Consulting, VC/PE, or Corporate Finance at a top-tier technology company - Excellent financial modeling and quantitative / data analysis skills - Extreme attention to detail with a high regard for precision - Exceptional verbal and written communication skills - Track record of developing and maintaining relationships with internal and external partners - A "get things done" mentality — you dissect complex problems, find solutions, and drive them to completion with a high degree of autonomy - Comfort operating in ambiguity and adapting to evolving priorities NICE TO HAVES - Expertise with Looker, SQL, and/or Python - Systems thinking — you design processes to be reliable, scalable, and maintainable - Curiosity about AI tools — prior experience is a plus, but not required BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Boston Every great app out there deserves to be connected with the right users and the right revenue streams. And adjoe will give this to them. adjoe is redefining the future of mobile ads. Powered by advanced AI, first-party data and world-class engineers, we’ve perfected the offerwall experience for monetizing and scaling app publishers with solutions like Playtime and Arcade – now the fastest growing rewarded advertising channel globally – driving incremental engagement, retention, and revenue. At the same time, we’re breaking into programmatic advertising with the intelligent bidding system of adjoe Ads. Together, this ecosystem connects app developers to over 600 million users worldwide for scalable growth. Backed by a $100 million investment from Bertelsmann and operating from offices in Hamburg, Boston, Singapore, and Tokyo, adjoe is defining the next stages of app and ad experience – right now. Join us. Meet Your Team: Supply Growth At adjoe, we turn app publishers' potential into proven revenue. Our Publisher Accounts team combines adjoe’s deep technical expertise with strategic insight to optimize every aspect of creating engaging user experiences that drive monetization. We understand the delicate balance between user engagement and revenue generation, optimizing ad placements for visibility while ensuring a seamless app experience. Our publishers see concrete results: higher ARPDAU, improved retention metrics, and stronger overall user satisfaction and monetization performance. What You Will Do: - Manage and grow a portfolio of app publisher partners, driving mutual revenue growth and long-term success. - Build and nurture strong relationships with partners through consistent communication across Slack, email, and video calls. - Monitor and analyze key performance metrics (CPI, CPM, CTR, ARPDAU, etc.) to identify optimization opportunities and maximize results. - Develop and present performance reports, insights, and Quarterly Business Reviews (QBRs) to partners and internal stakeholders. - Collaborate cross-functionally with Product, Tech, and Business teams to address partner needs, troubleshoot issues, and deliver impactful solutions. - Identify upselling and optimization opportunities to increase partner engagement and revenue potential. - Translate partner feedback and market insights into actionable recommendations that help shape product improvements and strategy. - Take ownership of your portfolio performance, proactively driving initiatives to exceed growth and retention targets. Who You Are: - You have 2+ years of experience in AdTech, mobile advertising, or digital marketing. - You have a solid understanding of key industry metrics such as CPI, CPM, CPC, ARPDAU, CTR, and know how to leverage them to drive performance. - You’re an exceptional communicator and can clearly convey complex ideas to diverse audiences. - You bring strong analytical and problem-solving skills, with the ability to turn data into actionable insights and present to the partners in regular QBR meetings. - You’re proficient in Google Workspace, especially Sheets and Slides, and use them effectively to analyze data and present results. - You’re highly results-driven, motivated by achieving measurable outcomes and maximizing revenue. - You thrive in a fast-paced, dynamic environment where priorities can shift and agility is key. - You take full ownership of your work, proactively identifying opportunities and following through with impact. Fuel for the Journey: Benefits to Support Your Ambitions: - Work-Life Package: 2 remote days per week, 26 vacation days, 4 personal days, and initially 10 sick days, flexible working hours, 3 remote weeks (1 week at a time), office in the heart of Boston. - Future & Financial Health Package: Comprehensive medical, dental, and vision plans as well as 401K match program - Activity Package: Regular team and company events, bi-annual trips to HQ in Hamburg, Germany! - Education Package: Opportunities to boost your professional development with courses and training directly connected to your career goals - Free of charge access to our EAP (Employee Assistance Program) which is a counseling service designed to support your mental health and well-being We welcome applications from people who will contribute to the diversity of our company.

Location: Prague Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. We’re looking for a Group Product Manager to lead Wrike’s Core unit — the product area at the heart of how customers plan, structure, manage, and scale work in Wrike. In this role, you will lead a unit of five product teams and manage a team of five Product Managers. You will define the vision and strategy for Core Wrike going forward, balancing three critical forces: increasing product power, preserving ease of use, and evolving the experience to be suitable for the AI-native future. This is a high-impact leadership role for someone who can combine strong product judgment, people leadership, customer empathy, and strategic prioritization. You will help shape the foundation of Wrike’s product experience while developing a team of PMs into stronger strategic product leaders. Your Impact: Set the Core strategy: Define and evolve the vision, strategy, and priorities for Wrike’s Core unit, ensuring the product remains powerful, scalable, easy to use, and ready for AI agents collaboration as well as for human. Lead a multi-team product area: Manage five Product Managers across five teams, ensuring clarity of ownership, strong decision-making, and consistent product quality across the unit. Prioritize ferociously: Balance customer requests, enterprise needs, technical investments, usability improvements, and long-term strategic bets — with a clear view of what matters most. Enable AI-native R&D: Contribute to building the processes, tooling, and mindsets needed for the R&D organization to scale output and outcomes by 10x with AI-native ways of working. Develop the PM team: Coach, mentor, and grow Product Managers, helping them to achieve the next level. Your Qualifications: Product leadership experience: Proven experience leading product managers or managing a complex product area with multiple teams and stakeholders. Strong core PM craft and customer-centric mindset: Deep understanding of product discovery, customer validation, roadmap strategy, prioritization, metrics, and product delivery. Enterprise SaaS experience: Strong knowledge of B2B SaaS and enterprise customer needs, including scalability, adoption, usability, configurability, and change management. Strategic prioritization: Ability to make hard trade-offs across incomparable investments, customer escalations, technical complexity, and long-term platform direction. Cross-functional leadership and stakeholder management: Ability to align teams and stakeholders across Product, Engineering, Design, GTM, and executive leadership. People management skills: Experience coaching, mentoring, hiring, developing, and managing performance of product managers. Excellent UX judgment: Ability to balance power and simplicity in complex product experiences. Standout Qualities: Experience in B2B SaaS enterprise products in collaboration or productivity area Practical understanding of AI-native product development and agentic workflows. Visionary mindset and ability to redefine complex products vision Strong technical fluency and ability to partner effectively with engineering leaders. Our Work Style: Core product impact: You will shape the foundational Wrike experience used by customers every day to manage work at scale. Strategic complexity: The role requires balancing power, simplicity, customer demand, technical depth, and AI-readiness in one of Wrike’s most important product areas. People leadership scope: You will directly develop a team of five PMs and influence the product culture of a larger R&D unit. AI-native transformation: You will help define how Core Wrike evolves for a future where AI changes how teams create, structure, and manage work. High visibility: Your decisions will influence Wrike’s product direction, customer value, and long-term competitiveness. Benefits & Perks: 5 Weeks of paid vacation Sick Leave Compensation 5 Paid Uncertified Sick Days 2 weeks fully paid w/ medical certificate, additional 4 weeks paid at 80% salary rate Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Meal Vouchers (CZK 220 per working day) Annual Prague Travel Card (Lítačka) Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus What’s Next? Exploratory call with a Recruiter Meeting with the hiring manager - Product Director Panel interview with Product, Engineering, and Design representatives Home task Final interview with the CPO Your recruitment buddy will be Alexandra Vorobyova , Lead Recruiter. #LI-AV1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: Nicosia Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. We’re looking for a Group Product Manager to lead Wrike’s Core unit - the product area at the heart of how customers plan, structure, manage, and scale work in Wrike. In this role, you will lead a unit of five product teams and manage a team of five Product Managers. You will define the vision and strategy for Core Wrike going forward, balancing three critical forces: increasing product power, preserving ease of use, and evolving the experience to be suitable for the AI-native future. This is a high-impact leadership role for someone who can combine strong product judgment, people leadership, customer empathy, and strategic prioritization. You will help shape the foundation of Wrike’s product experience while developing a team of PMs into stronger strategic product leaders. Your Impact: Set the Core strategy: Define and evolve the vision, strategy, and priorities for Wrike’s Core unit, ensuring the product remains powerful, scalable, easy to use, and ready for AI agents collaboration as well as for human. Lead a multi-team product area: Manage five Product Managers across five teams, ensuring clarity of ownership, strong decision-making, and consistent product quality across the unit. Prioritize ferociously: Balance customer requests, enterprise needs, technical investments, usability improvements, and long-term strategic bets — with a clear view of what matters most. Enable AI-native R&D: Contribute to building the processes, tooling, and mindsets needed for the R&D organization to scale output and outcomes by 10x with AI-native ways of working. Develop the PM team: Coach, mentor, and grow Product Managers, helping them to achieve the next level. Your Qualifications: Product leadership experience: Proven experience leading product managers or managing a complex product area with multiple teams and stakeholders. Strong core PM craft and customer-centric mindset: Deep understanding of product discovery, customer validation, roadmap strategy, prioritization, metrics, and product delivery. Enterprise SaaS experience: Strong knowledge of B2B SaaS and enterprise customer needs, including scalability, adoption, usability, configurability, and change management. Strategic prioritization: Ability to make hard trade-offs across incomparable investments, customer escalations, technical complexity, and long-term platform direction. Cross-functional leadership and stakeholder management: Ability to align teams and stakeholders across Product, Engineering, Design, GTM, and executive leadership. People management skills: Experience coaching, mentoring, hiring, developing, and managing performance of product managers. Excellent UX judgment: Ability to balance power and simplicity in complex product experiences. Standout Qualities: Experience in B2B SaaS enterprise products in collaboration or productivity area Practical understanding of AI-native product development and agentic workflows. Visionary mindset and ability to redefine complex products vision Strong technical fluency and ability to partner effectively with engineering leaders. Our Work Style: Core product impact: You will shape the foundational Wrike experience used by customers every day to manage work at scale. Strategic complexity: The role requires balancing power, simplicity, customer demand, technical depth, and AI-readiness in one of Wrike’s most important product areas. People leadership scope: You will directly develop a team of five PMs and influence the product culture of a larger R&D unit. AI-native transformation: You will help define how Core Wrike evolves for a future where AI changes how teams create, structure, and manage work. High visibility: Your decisions will influence Wrike’s product direction, customer value, and long-term competitiveness. Benefits & Perks: 25 calendar days of paid vacation Sick Leave Compensation (5 Paid Uncertified Sick Days) Parental Leave: 18 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Medical Insurance (Employees + Dependents) Hybrid Working Model School Allowance (Up to €600/month for school aged kids) Simcard w/ Unlimited Internet Access for active employees Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays What’s Next? Exploratory call with a Recruiter Meeting with the hiring manager - Product Director Panel interview with Product, Engineering, and Design representatives Home task Final interview with the CPO Your recruitment buddy will be Alexandra Vorobyova , Lead Recruiter. #LI-AV1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Senior AI Engineer at GitLab, you'll help build the foundation for GitLab's transformation into an AI-first company. Reporting to the Director, Enterprise AI, you'll be a hands-on technical leader responsible for delivering internal AI-powered solutions that drive measurable business outcomes. Building fast matters, but it's not enough on its own. This role starts with understanding the real problem: mapping how work moves across teams, tools, and handoffs, identifying the true constraint, and validating whether AI is the right solution before you begin development. From there, you'll take ownership from discovery through deployment, combining strong engineering skills with systems thinking and business understanding. Your initial focus will span Sales, Marketing, and Customer Support, where you will embed AI solutions into key systems and workflows. This role offers the opportunity to shape how GitLab team members work, improve flow across the organization, and help advance our mission in a remote, asynchronous, and values-driven environment. What you'll do Diagnose business problems before building solutions. Map workflows, identify constraints, and confirm whether AI is the right intervention. Be prepared to say "this doesn't need AI" when that's the honest answer. Own AI initiatives end-to-end, from stakeholder discovery and technical design through implementation, deployment, and iteration. Design, develop, and ship AI-powered solutions quickly, delivering working prototypes in days, not months, with a focus on practical outcomes and measurable business value. Improve organizational flow by building solutions that reduce bottlenecks, shorten lead times, and increase throughput. Measure success using flow metrics alongside adoption and ROI. Integrate AI capabilities into existing systems and workflows using APIs, orchestration tools, and modern AI platforms, including GitLab Duo Agent Platform, where appropriate. The right tool wins, whether that's custom code, a platform, or a well-crafted prompt. Be Customer Zero: leverage and showcase GitLab's AI offerings wherever possible, feeding real-world usage insights back to R&D. Partner closely with stakeholders across functions to understand the real constraints. Ask the right questions, bridge technical and non-technical perspectives, and align on outcomes before jumping to solutions. Define and track success through business metrics, flow metrics, and feedback loops that make performance visible and actionable. Contribute to technical direction by evaluating tools, documenting patterns, and creating reusable foundations that help the team scale its impact. What you'll bring A Technologist at Heart - Genuinely invested in technology, the foundational and the cutting-edge in equal measure. You're as energised by a well-designed API integration as you are by the latest foundation model release. You reach for the simplest solution that solves the problem well, rather than forcing new technology when proven approaches would do. AI is a powerful part of your toolkit, but it sits on top of solid engineering fundamentals, not in place of them. Competent, Confident Coding Skills - You can build working solutions end-to-end, write clean and maintainable code, and debug effectively. Whether your skills were honed in a traditional engineering role, through building automations, or shipping side projects, what matters is that you can deliver production-quality work independently. AI & LLM Technical Depth - Strong proficiency in at least one modern scripting language (Python, JavaScript/TypeScript, or similar) and a solid understanding of REST APIs, GraphQL, and integration patterns. Deep, practical experience with modern AI technologies, specifically: Prompt engineering as a core discipline: designing effective system prompts, managing context windows, structuring multi-turn interactions, evaluating output quality, and iterating systematically on prompt design. Model selection and cost-performance trade-offs: understanding when a smaller fine-tuned model outperforms a general-purpose large one, when RAG is the right architecture versus expanding the context window, and how to make principled decisions about capability versus cost. Agentic architecture patterns: tool use, multi-agent orchestration, human-in-the-loop designs, guardrails, evaluation frameworks, and production-grade reliability patterns.Practical fluency across the LLM ecosystem: hands-on experience with models from Anthropic, OpenAI, open-source alternatives, and the judgment to know which to reach for and when. AI Safety & Risk Awareness - You think critically about how the solutions you build could be exploited, misused, or produce unintended consequences. You know how to design appropriate guardrails (input validation, output filtering, access controls, prompt injection defences, and data leakage prevention) and you treat these as first-class engineering concerns. Systems Thinking & Diagnostic Rigour - The ability to look at a complex process and see the constraint. Comfortable mapping how work flows end-to-end, identifying bottlenecks, and tracing problems to root causes before proposing solutions. You instinctively ask "what's actually blocking flow here?" before asking "what model should I use?" Business System Expertise - Familiarity with the landscape of enterprise business systems, CRM (Salesforce), marketing automation (Marketo), support platforms (Zendesk), integration and orchestration tools (Workato), AI platforms (Relevance AI), and enterprise search and knowledge tools (Glean). You don't need deep experience with all of these, but to understand what they do, how they fit together, and be willing to build with and across them. A strong understanding of enterprise data models and workflows is essential. Broad Functional Understanding - Ability to have meaningful conversations with stakeholders across diverse domains and quickly understand their unique needs. End-to-End Ownership - Track record of owning complex initiatives from discovery through delivery. Comfortable operating with ambiguity and driving to measurable outcomes independently. Product Mindset - Ability to scope MVPs, prioritise ruthlessly, and deliver iteratively. In addition, consider adoption, user experience, and business outcomes. Preferred requirements Experience with GitLab platform and CI/CD workflows Background in consulting, solutions engineering, or customer-facing technical roles Familiarity with value stream mapping, flow metrics, or Theory of Constraints thinking Experience with low-code/no-code orchestration tools (n8n, Make, Workato) alongside custom development Previous startup or high-growth company experience Experience mentoring or leading technical projects with junior engineers About the team You will join the Enterprise Technology & AI team. We're the backbone of the organisation, driving transformation in how GitLab team members make decisions, operate at scale, and deliver results for our customers. We believe the best AI solutions start with understanding the system, not the technology. We value people who think in constraints and flow, who build with conviction, and who never stop learning. We work in an all-remote, asynchronous setting, guided by GitLab's values of collaboration, results, efficiency, diversity, inclusion and belonging, iteration, and transparency. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $108,400 — $129,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Mesa, AZ, USA Bradken is a global manufacturer of custom-engineered products and solutions for the resources sector. Our products operate in some of the toughest mining environments, where performance, reliability and practical engineering support matter. We are seeking a Design Engineer to support the development, improvement and customisation of Bradken’s mining equipment product lines, with a primary focus on Crawler Systems for electric rope shovels and hydraulic excavators. This is a hands-on mechanical design role suited to someone who enjoys detailed engineering work, product problem-solving and seeing designs move from concept through to manufacture and field use. About the role You will work across product design, reverse engineering, modelling, drafting, simulation and technical documentation. With strong design judgement and practical problem-solving skills, you will support new product development, product updates and customer-specific designs across Crawler Systems, Buckets, Ground Engaging Tools and other mining products. You will: · Create and update 3D models, detailed drawings and design documentation. · Support reverse engineering, product improvements and new concept design. · Complete analysis, simulation and technical checks to support safe, reliable product design. · Work with Manufacturing and Supply Chain to ensure designs can be built, supplied and supported effectively. · Support field evaluations and product reviews through site and manufacturing visits when required. · Capture product data, specifications and design changes in Bradken’s Product Lifecycle Management system. · Provide technical input to internal teams on product performance, design intent and manufacturability. · Contribute to quality, safety and continuous improvement across engineering activities. This role is primarily office or shop-based, with some travel to customer and manufacturing sites. Travel is expected to be around 10–20%. About you You will bring: A Bachelor’s degree in Mechanical Engineering or equivalent. Experience in mechanical design, product design, reliability engineering or product development. Experience in mining equipment, construction equipment, heavy manufacturing or a similar industrial environment. Strong capability in 3D CAD, detailed drafting and engineering analysis. Experience working with manufactured products, design changes and technical documentation. Ability to work with engineering, manufacturing, supply chain and commercial teams. A current driver’s licence and ability to travel locally and regionally. Spanish language capability is highly preferred, and French language capability would be advantageous. Experience with Siemens NX, ANSYS, Siemens Teamcenter PLM or 3D scanning will be highly regarded. Knowledge of surface mining equipment, crawler systems, manufacturing processes, ISO 9001, mine site requirements and MSHA or relevant regional mine hazard training will also be valued. Applicants must currently be authorised to work in the United States without employer sponsorship. Bradken is unable to sponsor or take over sponsorship of an employment visa or other employer-supported work authorisation process for this role. Why join Bradken This role gives you the chance to stay close to the field, work on real mining equipment challenges and contribute to product improvements that matter to customers. You will be part of a global business where engineering, customer focus and practical problem solving come together. If you are interested in joining a team that is making a significant impact in the industry, we invite you to submit your application, along with your resume and a concise cover letter outlining why this position aligns with your career aspirations. Shortlisting for candidates will commence immediately. Everyone has a story... become a part of ours! How We Hire About Our Screening Process: As we work with teams around the world, time‑zone differences can make live screening challenging. To support a fair, consistent, and inclusive evaluation, we may invite candidates to complete a one‑way video screening at a time that suits them. If you require adjustments or an alternative format, we’re happy to discuss this. Before commencing employment , you will be required to complete a psychometric assessment and a pre-employment medical, including drug and alcohol testing. WE RESPECTFULLY REQUEST NO APPROACHES FROM RECRUITMENT AGENCIES. Bradken is an Equal Opportunity Employer. We are dedicated to fostering a diverse, inclusive, engaging, and flexible work environment for our employees, as we believe that remarkable outcomes arise when individuals are empowered to express their authentic selves in their work. All employment decisions will be based on merit, competence, performance, and business needs.

Location: South Africa; Nigeria; Philippines; Colombia; Morocco About Huzzle At Huzzle, we connect exceptional sales talent with leading companies across the UK, US, Canada, Europe, and Australia. Our clients range from high-growth startups to established tech platforms across SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career growth, and long-term stability. About the Company Our client is a results-driven AI marketing agency that specializes in local lead generation for high-stakes professional service firms, including legal, medical, and home services industries. Founded in 2014, the team bridges the gap between engineering discipline and strategic marketing to help local businesses outrank national brands. They provide an integrated suite of services, including AI-driven search engine optimization, adaptive PPC management, and sophisticated digital transformation tools designed to turn discovery into high-intent bookings and calls. Operating as a forward-thinking scale-up, the company focuses on "Midnight AI" systems that optimize visibility across Google Maps, organic search, and emerging AI recommendation engines. The culture is built on transparency, measurable outcomes, and a calm, disciplined approach to innovation. By joining this collaborative team, you will work at the intersection of traditional search and the new era of AI-driven marketing, delivering high-impact growth for clients who rely on steady inbound lead flow to thrive. Job Summary This company is a performance marketing agency building the "Agency of the Future" by leveraging AI to dominate the Answer Engine era. While traditional agencies are focused solely on Google rankings, this team ensures clients are cited inside ChatGPT, Perplexity, and Gemini. We are looking for a high-performing closer to lead our revenue function. You will sell directly to business owners and managing partners of firms generating $1M+ in annual revenue. This is a role for a strategic thinker who understands that modern businesses need high-margin, AI-driven solutions rather than outdated agency deliverables. Key Responsibilities Owning the full closing cycle, taking 7–10+ qualified calls per week across all US time zones. Managing and coaching a front-end appointment setter, listening to call recordings daily to identify drop-off points and running live role-play sessions. Handling complex objections regarding ROI and differentiation without the use of a script. Conducting daily video syncs with leadership to review pipeline health and priorities. Providing consistent End-of-Day (EOD) and End-of-Week (EOW) reports on revenue closed, close rates, and setter performance. Scaling the performance of the sales function as the agency grows, with a target of $20,000+ in new contracts closed per month. Requirements +2 years of experience closing high-ticket services in a digital marketing, agency, or SaaS environment. Proven track record of selling directly to business owners and managing partners in service-based industries (Law, Medical, Home Services). Ability to speak fluently about revenue, leads, and ROI rather than just "deliverables." Experience managing or coaching appointment setters to improve top-of-funnel health. High level of self-discipline and the ability to operate in a remote, founder-led startup environment without micromanagement. Availability to cover core US hours (8am–7pm CST) to support prospects from EST to PST. Benefits 💰 Competitive base retainer plus uncapped commission 🌎 Fully remote work environment 📈 Compounding commission structure on multi-month contracts 🚀 Opportunity to lead the sales function of an AI-first agency 🎯 High-growth potential with total compensation realistic targets of $11k–$14k/mo by month 6 ⚡ Flexible hours with a focus on output over clock-watching

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 our Technical Product Manager for Connectors, you are the master orchestrator of the enterprise ecosystem, ensuring Docebo talks seamlessly to the tools our customers love most. You aren’t just managing a list of integrations; you are building the mission-critical bridges between HRIS, CRM, and Productivity suites that power global learning at scale. Your mission is to define "what good looks like" for native integration quality and hold the organisation accountable to it through clear, measurable outcomes. 🛠️ THE DAY-TO-DAY - Architect the Roadmap: Strategically prioritize our native integration portfolio by balancing customer demand, ARR impact, and competitive benchmarks across the HRIS and CRM landscapes. - Deep-Dive Discovery: Lead technical reconnaissance by interrogating vendor APIs, testing authentication models, and inspecting payloads to ensure our PRDs are airtight before a single line of code is written. - Own the Lifecycle: Manage the full "cradle-to-grave" journey of every connector, including proactive versioning, deprecation strategies, and navigating upstream vendor changes. - Measure What Matters: Define and track the heartbeat of our portfolio through connector adoption rates, sync reliability, and SLOs that prove our impact to GTM leadership. - Eliminate Ambiguity: Write precision-engineered specifications—covering field mapping, conflict resolution, and error handling—so Engineering and QA can execute with total clarity. - Enable the Field: Partner with Technical Writers and Sales to create "field-ready" guides and represent Docebo as the technical authority in high-stakes enterprise deal cycles. - Evaluate the Build: Make the high-level call on whether to build, co-build, or partner for new categories, using a blend of technical depth and commercial savvy. ⚡ YOUR SUPERPOWERS - Integration Specialist: You have a black belt in enterprise APIs (REST, OAuth, SCIM) and understand why webhook reliability varies and how data model gaps create sync chaos. - Hands-on Explorer: You don’t wait for a demo; you jump into Postman, call sandbox APIs, and prototype sync flows yourself to answer the tough questions. - Precision Architect: You thrive in the details, crafting requirements that leave zero room for interpretation and ensuring our connectors are as reliable as they are functional. - Metric-Minded Leader: You speak the language of SLOs and ARR, translating technical performance into commercial evidence that resonates with executive stakeholders. - SaaS Savant: With 4+ years in Technical PM or Integration Engineering, you’ve managed complex portfolios and know the HCM or LMS ecosystem inside and out. - Commercial Navigator: You know exactly which integrations protect revenue at renewal and which ones unlock new market segments, and you can explain the "why" to anyone. 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: Armenia; Spain; Serbia; Poland; Kyiv City; Kyiv; Odesa; North Macedonia Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.   Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.   Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX, Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for . Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engine

Location: Munich, Germany WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Notion is building the connected workspace that teams everywhere use to think, plan, and ship — and our partner ecosystem is central to how we grow in the DACH market. As Regional Partner Manager for DACH, you'll own our partner relationships across the region, working closely with our Munich sales team to drive revenue through value-added resellers, hyperscaler ecosystems, and local services partners. This is a builder role for someone who thrives in a dynamic, high-growth environment. You'll be the architect of Notion's DACH partner motion — standing up programs, forging relationships, and converting partner activity into measurable pipeline. You'll operate across multiple partner types simultaneously and serve as the connective tissue between our ecosystem and our sales team. The ideal candidate brings a hunter's instinct to partnerships: proactive, commercially sharp, and energised by the challenge of building something meaningful in a market with real momentum. You'll work cross-functionally with sales, marketing, and regional leadership — and you'll be a visible face of Notion in the DACH partner community. WHAT YOU'LL ACHIEVE - Own and grow Notion's DACH partner ecosystem across value-added resellers, cloud/hyperscaler partnerships, and local services partners - Build and execute joint go-to-market programs with regional VARs and solutions partners - Manage Notion's hyperscaler partnerships in DACH, overseeing cloud marketplace deal flow and co-sell motions - Align partner activity directly to the DACH sales team's pipeline — facilitating introductions, mapping accounts, and driving resell and co-sell opportunities to close - Coordinate joint initiatives that bring together reseller partners and hyperscaler ecosystems for combined enterprise programs - Develop and maintain strong executive relationships with partner leadership across the region, becoming a trusted extension of their go-to-market teams - Track and report on partner-sourced and partner-influenced pipeline; present program performance to internal stakeholders and EMEA regional leadership - Support services delivery by local partners on an ad-hoc basis, helping maintain quality and partner satisfaction - Identify and qualify inbound partnership opportunities, and proactively surface new partner relationships that can expand Notion's reach in DACH - Collaborate with Notion's global and EMEA partner teams to adapt programs to the local market and share learnings across regions SKILLS YOU'LL NEED TO BRING - 10+ years of experience in partnerships, channel sales, or alliances in the enterprise SaaS or cloud software industry - Demonstrated experience managing both VAR/reseller programs and at least one cloud or hyperscaler partnership — comfort across both partner types is essential - A builder's track record: you've stood up partner programs and can point to outcomes you drove - Strong demand generation orientation - Commercially sharp with the ability to connect partner activity to revenue outcomes - Highly collaborative and effective working alongside direct sales teams — you understand what reps need, and you make their lives easier - Executive presence and strong relationship-building skills; you're as comfortable presenting to a partner CRO as you are coordinating logistics with a partner marketing manager - Experience working in or alongside hyper-growth or startup environments — you're comfortable with ambiguity and moving fast without a complete playbook - Based in Munich with existing knowledge of the DACH technology market; willingness to travel across EMEA and occasionally across EMEA - Strong organisational and operational discipline — you manage multiple active partner relationships without dropping balls, and you communicate proactively - You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results. NICE TO HAVES - Experience with cloud marketplace programs and hyperscaler co-sell motions - Familiarity with product-led growth (PLG) or bottoms-up SaaS go-to-market models - Existing relationships with DACH-based VARs, systems integrators, or hyperscaler partner teams - Cross-market EMEA experience — e.g. managing partnerships across EMEA regions simultaneously Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €179,000 - €200,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: European Union Workplace: Remote ABOUT THE ROLE We're looking for someone who owns delivery - not tracks it, not reports it, owns it. You'll be responsible for a specific area: games, features, or platform work. From the first conversation about a requirement through to production - you're on the hook for the whole thing. This isn’t a coordination-only role. We need someone with previous hands-on software engineering, DevOps, release engineering, or similar technical experience who can actively improve and automate the way software is built, tested, and released. You set the timeline, track it, and communicate changes before people start asking questions. If there's a blocker, you've already seen it. If a release isn't ready, you say so - clearly and early. You'll look at how work flows through your area and fix what's broken. Not just follow whatever process exists. You'll design something that actually works, iterate on it, and make it better over time. A key part of the role will be identifying manual steps, bottlenecks, and failure points in development and release workflows, and then building practical automation to remove them. This may include improving CI/CD pipelines, automating release checks, connecting tools through APIs, and developing scripts or lightweight internal solutions. Quality is yours too. Not QA's problem alone, not the tech lead's problem. You own release readiness: is it tested, is it documented, does anyone know the operational risk. If the answer is no, it doesn't ship. You'll work closely with product, engineering, QA, and client-facing teams, keep them aligned, and report directly to the VP of Delivery. What we expect from you First 30 days - Understand how delivery actually works in your area - not how it should work, how it actually works - Map where work gets stuck, what the recurring blockers are, and who the key people are - Meet everyone who matters: product owners, tech leads, QA, release managers, client teams - Write up what you found and share it with the VP of Delivery First 60 days - Take ownership of delivery tracking for your area - Pick the biggest workflow problem you found and start fixing it - Show you can catch a blocker before it causes a delay - at least twice First 90 days - Own and communicate a delivery forecast that stakeholders actually trust - Ship at least one release with no last-minute surprises - quality gates passed, documentation done, everyone aligned - Present your view on how delivery should work in your area going forward What we're looking for - 3+ years in an engineering delivery, software delivery leadership, or similar role where you owned outcomes, not just process - Previous hands-on experience as a Software Engineer, DevOps Engineer, Release Engineer, Build Engineer, Developer Productivity Engineer, or in a similarly technical role. - Strong understanding of the software development lifecycle, including builds, automated testing, versioning, deployment, monitoring, and rollback. - You catch problems early. Not because you're lucky, but because you know what signals to watch - You've worked across engineering, product, and QA and you know how to keep them moving together - Strong communicator - you can give a clear, honest delivery update to a VP without needing a slide deck - You care about quality beyond closing tickets - release readiness, testing coverage, operational risk are things you think about naturally - You're genuinely interested in the product you're delivering, not just the process around it - You actively look for repetitive manual work and replace it with reliable, maintainable automation. Nice to have - Background in iGaming, gaming, or another regulated product environment - Experience in a B2B or multi-operator delivery model - Familiarity with incident management and post-mortems - Experience working with external studios or third-party development partners - OKR-based planning and how it connects to delivery cadence - Jira or similar tooling - configuration, not just usage     WHAT WE OFFER - Competitive Salary - Quarterly Bonuses - Unlimited Paid Time Off - Unlimited Paid Sick Leave - Remote & Flexible Working - Private Medical Insurance - Financial Support for Life Events - Professional Development Budget - International Exposure - Regular Company Events *Benefits may vary depending on location and contractual agreement By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy. #LI-DNI

Location: Remote (USA) Workplace: remote Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.   We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.   For more information, visit arcadia.io.     Why This Role Is Important to Arcadia  Arcadia's data platform powers population health analytics for health plans, ACOs, and provider groups across the country. As a Lead Analytics Engineer — Data Modeling & Quality, you sit at the intersection of data quality ownership and analytical data modeling. You'll own the SQL and DBT layer that transforms raw clinical and claims data into trusted, production-grade datasets, while also serving as the quality authority for the data those models produce. This is a hybrid role — deeper SQL and DBT expertise than a traditional Data Health Professional, with a more analytical and model-focused scope than a Data Engineering role. You're less focused on pipeline infrastructure and more on the logic, shape, and trustworthiness of the data itself.   What Success Looks Like In 3 months Independently triage and resolve pipeline data quality issues Author at least one new DBT model or refactor an existing one to meet current modeling standards Understand the end-to-end pipeline from ingress through silver and gold, and be able to trace a data quality issue to its root layer In 6 months What You'll Be Doing DATA MODELING & DBT DEVELOPMENT Author, review, and maintain DBT models using Spark/Hudi from ingest through bronze and silver Help clients understand their data model, assumptions, and limitations through intentional validation Troubleshoot and fix issues, then write DBT tests to catch issues proactively Optimize SQL performance for slow-running jobs Partner with Data Engineering on table design, partition strategy, and incremental patterns DATA QUALITY OWNERSHIP Triage and classify data quality alerts, distinguishing source-level issues from transform-layer failures Design and maintain volume monitors and DQ monitors (null rate, distribution, future-date checks) Author and apply clinical DQ rules (entity volume, field coverage, LOINC coverage, referential integrity) and claims validation rules across silver and gold layers Conduct quality reviews for connector promotions — evaluating silver entity coverage, validation rule pass rates, and bronze-to-silver transformation correctness Own the ticket queue for DQ, attribution, hierarchy, and customer-specific data quality issues, writing clear customer-facing findings CROSS-FUNCTIONAL QUALITY COLLABORATION Lead data quality reviews during connector installation and promotion (UAT → PRD), including claims validation playbooks and null analysis Partner with Data Engineering on root-cause triage for errors, ingress anomalies, and silver table issues surfaced through data quality monitoring Coordinate with the Measure Implementation Team (MIT) when data quality issues affect quality measure scores Contribute to and enforce data modeling standards across teams TECHNOLOGIES Data modeling: DBT-Spark, SQL, Claude Warehousing: Amazon Redshift, Apache Hudi, AWS Athena Data quality: volume/DQ monitors, DBT tests Orchestration: Argo Workflows, Airflow Source control: Git / GitHub, PR-based review workflows Observability: Grafana, Jira Healthcare data: Claims (plan/professional/pharmacy), EHR (clinical entities), MPI What You'll Bring Education: Bachelor's or Master's degree in Computer Science, Statistics, Business, Economics, or a related field Experience: Advanced SQL: window functions, complex CTEs, aggregation patterns, performance tuning on columnar databases DBT: hands-on experience authoring models, tests, macros, and yml documentation; familiarity with incremental strategies Healthcare data literacy: working knowledge of claims data (professional, institutional, pharmacy), clinical data (EHR entities), and common quality dimensions (member months, coverage rates, null patterns) Data quality mindset: ability to differentiate source data issues from transform issues, design systematic validation checks, and communicate data quality findings clearly Skills: Clear communicator — able to translate technical findings for clients and non-technical stakeholders Strong analytical judgment — you can look at a distribution and know when something is wrong Ability to manage several projects simultaneously, leveraging AI tooling to stay organized and efficient Genuine desire to learn and apply AI tools for operational efficiency Would Love For You To Have Experience with Spark SQL and Hudi table format Familiarity with data quality monitoring tools Comfortable operating in an AI-first environment using Claude to build/verify various day-to-day workflows Exposure to population health analytics concepts: HEDIS measures, risk adjustment, value-based care metrics Python scripting for data investigation and automation Experience with Argo Workflows or similar orchestration platforms Healthcare data standards: ICD-10, CPT, NDC, LOINC, NPI What You'll Get Work alongside a talented team on some of the most complex and rewarding challenges in healthcare data Flexible, fully remote work environment with the resources and support to do your best work Exposure to senior leaders Be on the front lines of AI adoption — use cutting-edge tools to accelerate your work and shape how the team operates in an AI-first environment Make a meaningful impact on healthcare data operations by improving the quality, reliability, and trustworthiness of data that drives patient care decisions Be a part of a mission driven company that is transforming the healthcare industry Become a member of the talented, energized, diverse and purpose-driven Arcadian Community About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: New York, NY Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: We are looking for a talented Quantitative Trader to join our Onchain Trading team. This is a technically deep, high-ownership role at the intersection of algorithmic strategy, decentralized finance, and protocol-level market structure. You will contribute across the full trading lifecycle — from building risk infrastructure and designing strategies to managing protocol relationships and structuring liquidity agreements. What You’ll Do: Risk & Allocation Build and maintain risk monitoring systems and capital allocation algorithms for our onchain curator program Contribute to quantitative frameworks for position sizing, exposure management, and drawdown controls across DeFi protocols Support real-time portfolio risk tracking across chains and venues Strategy Design & Execution Design and operate bespoke trading strategies across DeFi protocols, including AMMs, lending markets, perpetuals, and structured products Identify and exploit structural inefficiencies in on-chain markets, liquidity pools, and token incentive mechanisms Iterate on live strategies based on on-chain data, protocol changes, and market microstructure developments Monitor deployed strategies and manage operational incidents across multiple blockchains Liquidity Agreements Assist in the design and negotiation of custom liquidity provision agreements with protocols, DAOs, and ecosystem funds Support structuring of incentive arrangements, token agreements, and liquidity mining programs Track performance against agreed terms and contribute to counterparty reporting AI Implementation Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes. Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work. What We’re Looking For: 2–5 years of experience in quantitative trading, systematic strategy research, or algorithmic development Solid Python programming skills, with experience building data pipelines, backtests, or trading tools. Keen interest in exploring and working with new technologies Deep contract-level knowledge of DeFi protocol mechanics — AMMs (Uniswap, Curve, Orca), lending markets (Aave, Morpho), and other protocols Understanding of blockchain infrastructure and on-chain data Degree in a quantitative field – Computer Science, Computer Engineering, Applied Mathematics, Physics, etc. What We Offer: Competitive base salary and discretionary bonus Hybrid/Flexible Working Arrangements Flexible Time Off (paid) 3% 401(k) company contribution Company-paid health and protective benefits for employees, partners, and other dependents Generous paid Parental Leave Competitive family planning benefits for US employees Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Free daily snacks and weekly breakfasts/lunches Employee Resource Groups Free coaching and counseling sessions through Headspace Apply now and join us as we grow the economy that runs on code. The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives. Base Salary Range $150,000 — $200,000 USD Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: Remote, Germany, EMEA 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 Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a talented German speaking Senior Sales Engineer to join our Enterprise sales team. As an Enterprise Sales Engineer, you will work closely with our sales team to understand our Enterprise customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and ensuring a successful proof-of value throughout the sales cycle. This is a full-time remote position based in Germany, with preference for Munich. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, New Relic, Linux, Windows, Python, Java What You’ll Do Work with Enterprise customers to understand their business, their use cases, and their data replication requirements Develop and deliver technical presentations to Enterprise audiences Ensure the technical win by running an organized proof-of-value process Work closely with multiple cross-fuctional organizations driving change and improvements to Fivetran as a whole. Work closely with multiple Sales representatives, while maintaining a high level of customer focus and technical excellence Stay up-to-date on the latest technologies and trends in our industry Assist team members in advanced technical or business roadblocks Skills We’re Looking For Native/Professional Proficiency in German 5+ years in data replication, sales engineering, or related technical field Strong technical background covering database replication, cloud infrastructure, and data replication technologies with some form of hands on experience Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders Strong problem-solving and analytical skills Experience with Oracle, SQL Server, Postgres, MySQL, and NoSQL databases Hands on experience with other data replication or ETL tools Experience with self-hosted software applications and supporting infrastructure Hands on networking experience both in the cloud and on-premise Bonus Skills​ Experience developing partner relationships Specialized expertise in security posture Experience with self-hosted and SaaS software applications Hands on experience with DBT Docker/Podman/Kubernetes experience #LI-LA1 #LI-REMOTE 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: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE We are seeking a mid-level Infrastructure Vulnerability Management Engineer with a strong background in Cloud Security, DevSecOps, and Infrastructure-as-Code (IaC). In this role, you will bridge the gap between security, compliance, DevOps, and Platform engineering teams. You will identify infrastructure misconfigurations, secure multi-cloud environments, and manage continuous vulnerability lifecycles across cloud workloads, containers, and data repositories to satisfy strict regulatory compliance frameworks. You will also serve as a technical infrastructure responder during security incidents, deploying real-time cloud or network countermeasures to protect our production ecosystem. WHAT YOU'LL DO CORE RESPONSIBILITIES - Infrastructure Scanning & Triage: Perform continuous security scanning across our cloud posture and workloads. Review, validate, and prioritize flaws and misconfigurations based on CVSS scores, real-world exploitability, and infrastructure network exposure. - Posture Management & Visibility: Own and optimize Cloud Security Posture Management (CSPM), Kubernetes Security Posture Management (KSPM), and Data Security Posture Management (DSPM) tools to ensure uniform compliance, prevent data leakage, and maintain hardened baselines. - Infrastructure-as-Code (IaC) Security: Configure, tune, and embed automated IaC security scanning tools into CI/CD pipelines to identify architectural risks (e.g., overly permissive IAM, public S3 buckets/Cloud Storage) before they are deployed to production. - Workload & Container Security: Manage the continuous vulnerability scanning lifecycle for container images, registries, and Virtual Machines (VMs), partnering with SRE and Platform teams to build automated base-image patching and rolling upgrade pipelines. - Compliance-Driven Tracking: Track, document, and manage infrastructure vulnerabilities according to strict compliance SLAs (e.g., SOC 2, ISO 27001, PCI-DSS). Maintain audit-ready evidence of infrastructure remediation timelines and exception approvals. - Executive Reporting & Alerting: Escalate and report critical production exposures directly to the CISO and senior leadership. Maintain dashboards and alerting mechanisms that visualize infrastructure risk trends and cloud compliance posture. - Remediation Collaboration: Partner with SRE, DevOps, and Platform teams to provide clear infrastructure mitigation paths. Assist in writing, reviewing, or modifying cloud configuration templates directly when necessary to resolve security flaws. - Incident Response Support: Assist Incident Response teams during active cloud or host-level breaches. Help develop and implement immediate, real-time cloud, network, or IAM configuration countermeasures to contain threats. REQUIRED SKILLS & EXPERIENCE - Experience: 5 years of experience in Cloud Security, DevSecOps, or Systems Engineering roles. - Cloud Infrastructure Depth: Strong foundational experience working with multi-cloud environments (Deep GCP expertise preferred, with working knowledge of AWS or Azure). - Posture Management & Scanning Tooling: Hands-on experience operating modern infrastructure security platforms such as Wiz, Orca, Prisma Cloud, Lacework, or cloud-native options (GCP Security Command Center). - IaC and Automation Fluency: Strong proficiency with Infrastructure as Code platforms (Terraform, Pulumi) and GitOps deployment workflows. Ability to evaluate and configure IaC scanners like Checkov, Tfsec, or KICS. - Containerization & Orchestration: Deep understanding of Docker/container security and Kubernetes architectures (e.g., GKE, EKS), including runtime security, network policies, and workload identity. - Compliance Awareness: Understanding of how infrastructure configurations and vulnerability management map to security compliance frameworks like SOC 2, ISO 27001, CIS Benchmarks, or NIST. WHAT WE VALUE - Systems Thinking: The ability to see the "big picture" and understand how security decisions impact the entire stack. - Technical Influence: The ability to drive technical alignment across the organization through expertise and collaboration rather than direct authority. - Autonomy: Comfortable leading major technical initiatives and driving outcomes with minimal oversight. - Problem-Solving Mindset: A passion for breaking down complex security challenges into elegant, scalable engineering solutions. This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Americas Remote About Customer.io Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. About the role Hi, my name is Michael, Head of Data & Analytics at Customer.io , and I'm looking for a Senior Data Scientist to help our teams make better decisions using customer and product data. You'll partner closely with Product, Marketing, and Customer Experience to evaluate product changes, design and analyze experiments, identify opportunities to improve the customer experience, and influence roadmap and business priorities. This is a hands-on role focused on analyzing behavior, building models, and turning data into clear, actionable direction. This role is ideal for someone who enjoys solving ambiguous problems, working closely with stakeholders, and applying data science pragmatically to support product and business decisions. We're looking for someone with an ownership mindset and a bias for action who balances technical rigor with practical decision-making. What we value Ownership: You take initiative and drive analytical work from concept to implementation. You don't wait for perfect requirements — you help define the problem and move the work forward. Curiosity: You naturally question assumptions and dig deeper into the "why" behind user behavior. You enjoy uncovering patterns in complex data and have the persistence to work through ambiguity and messy datasets. Analytical Rigor: You bring a thoughtful, structured approach to analytics and decision-making. You know how to define meaningful measures of success, evaluate changes with rigor, and distinguish signal from noise in complex behavioral data so teams can act with confidence. Communication: You can translate complex analytical concepts into clear recommendations for Product Managers, executives, and non-technical stakeholders. Collaboration: You work as a true cross-functional partner, balancing analytical rigor with practical business needs. You build trust by making data approachable, actionable, and reliable. What you'll do Analyze behavioral patterns across the customer lifecycle to identify trends, usage archetypes, and opportunities to improve adoption, engagement, and retention. Design experiments and measurement approaches to evaluate the impact of product and marketing changes - and help teams make decisions based on evidence rather than intuition. Build models and datasets that improve how teams segment customers, forecast outcomes, and identify trends. Apply machine learning and AI techniques where they solve practical problems, for both internal decision-making and customer-facing scenarios. Partner with Data Engineering to improve the quality, reliability, and accessibility of core data and metrics. Communicate findings clearly and directly so teams can make informed decisions without needing a statistics background. What we're looking for 5+ years of experience in a Data Science role within B2B SaaS or a similar product- or growth-focused environment. Strong foundation in statistics, experimentation, and behavioral analytics - with the ability to apply them pragmatically to real product and business problems. Proficiency in SQL and Python for large-scale analysis, modeling, and exploration. Experience with modern cloud data platforms (Snowflake, BigQuery, or similar); familiarity with dbt is a plus. Strong communication and stakeholder skills - you can explain complex analysis clearly to PMs, marketers, executives, and non-technical partners. An ownership mindset - you help define the problem and move work forward; you don't wait for perfect requirements. Why This Role This role offers the opportunity to work on high-impact problems across the business while helping shape how data science and analytics evolve within the organization. You'll have the autonomy to explore meaningful questions, influence strategy, and help build a stronger data-informed culture. Compensation & Benefits We believe in transparency. Starting salary for this role is $140,000-$150,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build. We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family . We also offer 16 weeks paid parental leave, unlimited PTO , stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision. 30-minute call with Recruiter 45-minute call with Hiring Manager 45-minute 1:1 Technical Interview Take-Home Assignment + 45-minute review call 30-minute Final Interview with Stakeholder All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process. Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact. Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io . Join us! Check out our careers page for more information about why you should come work with us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now.

Location: Warsaw, Poland Are you looking for the next professional opportunity that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Senior AI/ML Engineer (AI Lead) to join our rapidly expanding team. The ideal candidate will be a highly hands-on and business-oriented professional, capable of designing and delivering production-grade AI systems that drive measurable business impact. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards.  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. Join the Tigers! What does the role look like? The Senior AI/ML Engineer (AI Lead) will have the chance to: • Design, develop, and productionise machine learning models end-to-end (training, validation, deployment, monitoring, retraining), ensuring reliability in real-world environments. • Lead the development of AI use cases such as client lifetime value (CLV), churn prediction, and fraud/abuse detection, with clear alignment to business outcomes and measurable impact. • Build and establish robust MLOps practices, including model deployment pipelines, CI/CD, environment promotion (dev/stage/prod), and lifecycle management. • Implement model monitoring frameworks to track performance, data drift, data quality, and business impact, with clear retraining and escalation strategies. • Ensure model explainability and transparency using techniques such as SHAP, feature attribution, and other interpretability methods appropriate for business-critical and regulated contexts. • Define and enforce best practices around model governance, documentation, versioning, and auditability, proportional to model risk and business impact. • Collaborate closely with Data Engineering to ensure high-quality data pipelines, feature engineering, reproducibility, and scalable data foundations. • Work cross-functionally with Product, Risk, Commercial, and other stakeholders to translate business problems into pragmatic AI solutions, balancing speed and robustness. • Drive continuous improvement through feedback loops, monitoring insights, and model retraining strategies, rather than one-off model delivery. • Mentor team members and promote best practices in production AI, MLOps, and applied machine learning delivery. What do you need to succeed in this role? • 5–8+ years of experience building and deploying machine learning models in production environments (not just experimentation). • Strong Python programming skills and solid software engineering fundamentals (testing, code quality, modular design, maintainability). • Strong understanding of machine learning concepts, model evaluation, feature engineering, and practical considerations in production systems (e.g. data leakage, drift, stability). • Hands-on experience with large-scale data processing (Spark / PySpark). • Experience with ML lifecycle tools (MLflow or similar) for experiment tracking, model management, and reproducibility. • Experience building and maintaining CI/CD pipelines (GitHub Actions preferred) for ML or data workflows. • Strong SQL skills and experience working with large, complex datasets in real-world environments. • Proven ability to deliver AI/ML solutions with measurable business impact, not just model performance improvements. • Experience working with model deployment, monitoring, drift detection, and retraining strategies in production systems. • Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders, translating trade-offs clearly. • Ability to operate effectively in environments with evolving requirements, imperfect data, and delivery pressure, balancing MVP speed with production robustness. The below are considered as a plus: • Experience in fintech, trading, or financial services environments, particularly where models influence business-critical decisions. • Experience with real-time or streaming ML systems. • Familiarity with modern AI approaches such as LLMs, embeddings, or retrieval-augmented generation (RAG), particularly where applied to business workflows or integrated with structured data. • Experience working in regulated environments and implementing model governance frameworks (e.g. auditability, explainability, approvals, documentation standards). • Experience contributing to team standards, mentoring, or leading applied AI delivery. By joining us, you can expect: • Unique opportunity for a career in a global, fast-growing company. • Attractive remuneration package based on qualifications and experience. • Opportunities to learn and grow through our “Employee Training & Development program”. • Hybrid work flexibility. • Multiple events to bond with the team and the group. • Birthday and loyalty benefits. Make your next career step and apply NOW! *Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.