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Location: Riyadh, Saudi Arabia; Nairobi, Kenya; London, United Kingdom; Canberra, Australia; Amsterdam, Netherlands; Ottawa, Canada Eram Talent, a leading talent acquisition company is seeking an experienced Arborist. The Arborist is responsible for the specialised care, assessment, management, and long-term conservation of trees across the Botanic Gardens. The role ensures that trees are maintained to high standards of health, structural integrity, safety, and aesthetic quality through appropriate pruning, disease management, risk assessment, monitoring, and preventative care. The Arborist will conduct tree inspections and inventories, assess tree-related risks, recommend and implement appropriate management actions, and develop long-term tree care and succession plans. The role will also provide specialist arboriculture expertise to support botanic collections, landscape planning, conservation objectives, visitor safety, and tree-related education and interpretation programmes. Key Responsibilities Conduct routine and specialised tree inspections, maintenance, and health assessments throughout the Botanic Gardens. Undertake and/or supervise appropriate tree pruning, including formative, corrective, structural, crown-cleaning, and other arboriculture pruning techniques. Monitor tree health and identify signs of disease, pests, structural defects, environmental stress, nutrient deficiencies, and physiological decline. Recommend and implement appropriate preventative and corrective tree-care measures. Conduct systematic tree risk assessments to identify structural defects, potential failures, hazardous trees, and risks to visitors, staff, infrastructure, and botanical collections. Recommend appropriate risk-management measures, including pruning, monitoring, support systems, access restrictions, treatment, or removal where necessary. Maintain appropriate documentation of tree-risk assessments, recommendations, interventions, and follow-up inspections. Develop and implement comprehensive tree care and preventative maintenance programmes. Develop long-term tree succession and replacement plans to ensure continuity, resilience, and sustainability of the garden's tree collection. Requirements Bachelor's degree in Horticulture, Botany, Plant Sciences, Arboriculture, Forestry, or a related discipline. Certified Arborist designation from a recognised professional arboriculture organisation is preferred. Demonstrated technical knowledge of tree-care and arboriculture practices is required. Additional professional training or certification in tree risk assessment, tree climbing, aerial rescue, chainsaw operations, or advanced arboriculture practices is advantageous. Minimum 5+ years of relevant professional experience in tree care and arboriculture management.

Location: Remote - Bengaluru, India MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. This is the senior product role on a small, high-leverage product team. You'll own key pieces of the product line — from how we position it, to how we price it, to how the field sells it. You'll work closely with engineering and be the person Marketing and Field teams looks to for the answer to "why us, why now”. We need a product leader who lives close to customers and to revenue, who can hold a deeply technical conversation with multiple stakeholders - from technical buyers to executive, and who treats GTM as a first-class part of the product — not something that happens after the product is "done." What You Will Do: Growth strategy for our Data Intelligence products — where we play, who we sell to, how we win, and the sequencing of bets that gets us there Partnerships — work closely with key partners to develop ground breaking products The customer and buyer motion — being in front of inference platform teams, data platform leads, and the buyers who decide. Joining strategic deals. Running the win/loss loop and feeding it back into strategy. Positioning and narrative — partnering with Marketing on how the AI stories land in market, what we publish, and how a first-time buyer encounters MinIO Field partnership — building the assets sellers actually use, supporting the deals that matter, making sure the field can run an inference-buyer or lakehouse-buyer conversation confidently Pricing and packaging — how Data Intelligence products are sold, how the AI and Analytics motions are priced differently if they should be, how we capture value as workloads grow Competitive intelligence — knowing the AI training inference competitive landscape, and shaping how we differentiate Partner GTM for AI — the AI ecosystem is partner-heavy, and unlocking it is part of the role Influence on the product — through customer signal, pipeline data, and competitive insight you will be the most informed external voice in the room to influence direction. Your Skills and Experience: 8+ years in product management, with at least 3 years on infrastructure, data, or AI/ML products sold to technical buyers Demonstrated fluency in modern AI and analytics stacks — you don't need to have trained a foundation model, but you should be conversant in how training and inference pipelines actually consume storage, key tradeoffs and why it matters, and how data platform teams make build/buy decisions A track record of working closely with field teams on real revenue — you've sat in on deals, you've built enablement that sellers actually used, you've changed a deal's outcome with a well-timed product conversation Partnership with marketing on crafting compelling narratives, presented at external conferences, webinars Strong analytical instincts — you reach for data to test your hypotheses, not to confirm them The ability to write clearly and think rigorously in writing. Most of the work that compounds in this role is written Excellent partnership with engineering — you've earned engineers' trust before by being technically credible and by making prioritization defensible Real comfort with pricing and packaging decisions  — if you've owned or co-owned them, not just commented on them, that's a big plus Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: New York, San Francisco Workplace: OnSite Tempo is a layer-1 blockchain purpose-built for stablecoins and real-world payments, born from Stripe’s experience in global payments and Paradigm’s expertise in crypto tech.   Tempo’s payment-first design provides a scalable, low-cost predictable backbone that meets the needs of high-volume payment use cases. Our goal is to move money reliably, cheaply, and at scale. Our north star is simplicity for users: fintechs, traditional banks, merchants, platforms, and anyone else looking to move their payments into the 21st century.   We're building Tempo with design partners who are global leaders in AI, e-commerce, and financial services: Anthropic, Coupang, Deutsche Bank, DoorDash, Mercury, Nubank, OpenAI, Revolut, Shopify, Standard Chartered, Visa, and more.   We’re a team of crypto-optimists, building the infrastructure needed to bring real, substantial economic flows onchain. We like to move fast and swing for the fences — join us! Tempo is building the future of enterprise payments on-chain, and we need someone to own the success of our partners after they sign. As our Technical Account Manager, you’ll manage a book of enterprise customers as their primary point of contact—from onboarding and integration through launch and ongoing growth. This is a founding role. You’ll build trusted relationships with your partners while defining the playbooks, processes, and feedback loops that turn early design partners into long-term anchors of our ecosystem. WHAT YOU’LL DO Account Management - Own a portfolio of partners as their primary post-sales contact, accountable for relationship health, technical success, and ongoing engagement - Build deep knowledge of each partner’s use case, architecture, and business goals, translating them into clear account plans and success milestones - Lead regular check-ins and business reviews to track progress, address risks, and identify opportunities for deeper adoption alongside the Partnerships team Onboarding & Technical Success - Own the handoff from GTM and guide partners through onboarding, integration, and production launch - Work with partner engineering teams to define integration scope, resolve blockers, and establish production readiness - Serve as the primary escalation point for technical and operational issues, coordinating with engineering and product and keeping partners informed through resolution - Provide ongoing technical guidance as partners scale their implementations and adopt new Tempo capabilities Ecosystem & Scale - Develop repeatable playbooks for onboarding, account management, and integration support across enterprise and ecosystem segments - Establish account health metrics and success frameworks to proactively identify adoption gaps and partner risks - Act as the voice of your partners internally, translating feedback into actionable product, engineering, and documentation improvements ABOUT YOU - Proven experience in technical account management, technical customer success, or a similar role at a blockchain, API-first, or fintech infrastructure company - Experience managing a book of partners or customers, carrying relationships from signed agreement through scaled production deployment - Strong technical fluency with APIs, integrations, and infrastructure; comfortable troubleshooting alongside developers and engineering teams - Comfortable working across business and technical stakeholders, connecting implementation details to business outcomes - High EQ and strong ownership; partners trust you as an extension of their team, and you follow through on commitments - Experience with payments, blockchain infrastructure, or validator operations is a strong plus ATTRIBUTES - Scrappy and hands-on—you’ll dig into a complex integration without being asked - Proactive and anticipatory; you identify risks before they become partner problems - Organized and dependable, balancing priorities across a growing portfolio - Clear communicator who translates technical complexity into business value - Energized by ambiguity and the pace of an early-stage company - Deeply curious about payments, blockchain infrastructure, and the ecosystem being built around stablecoins

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Grafana Labs is looking for an Strategic Account Executive, Growth who will be responsible for prospecting and growing existing business across the West region . You will identify, nurture and close opportunities with existing customers. You will manage forecasts and track customer data. We're strong proponents of a consultative sales approach - learn about the customer's needs first before talking about our products. Your expertise will be critical in helping articulate the value of our products, work with the customer during the trial phase and hand off a strong relationship to our Customer Success team. What You’ll Be Doing: Identify new opportunities to expand Grafana usage within a set of current customers Meet and exceed individual quarterly and annual sales goals Manage all aspects of the sales process (prospecting, sales meetings, product demos, proofs of concept, proposals, negotiations and account management) Cultivate sales through outbound prospecting and inbound leads Be able to understand and convey the value of both Grafana Cloud and Grafana Enterprise Become an expert in managing your sales pipeline in Salesforce Manage quote creation, order processing, and day-to-day customer requests What Makes You a Great Fit: 5+ Years of Experience in Infrastructure Technology Sales Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer) Energetic, upbeat, entrepreneurial, tenacious team player Adaptable and with demonstrable experience in high velocity technology companies Experience using Salesforce You will need to be an excellent communicator in all channels (in person, online, in writing) and able to form strong working relationships both in person and virtually Bonus Points For: Familiarity with open source technology is a significant advantage Experience using Command of the Message and MEDD(P)ICC is ideal Compensation & Rewards: In the United States, the OTE (On-Target Earnings) compensation range for this role is $32 0,000 - $340,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: San Francisco, CA Workplace: Hybrid About Niantic Spatial We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Role Niantic Spatial makes the physical world computable, helping people and machines collaborate safely by aligning how they understand reality. One of the fundamental problems we're helping autonomy teams and engineers overcome is the sim-to-real gap for visual-spatial understanding. We're applying our team's decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI. We're looking for a Senior Computer Vision Engineer to join our Embodied AI team, focused on 3D scene understanding and semantics. A reconstructed environment is only useful to a robot once it knows what is in it: which surfaces are floor, which objects can be grasped, moved, or opened, where one room ends and another begins. You'll work hand in hand with our Research Scientists to take advances in open-vocabulary perception, 3D semantic labeling, and scene graph construction and turn them into reliable capabilities that embodied AI teams can use in production. This is an applied research role. You'll live at the boundary between a research prototype and a production pipeline: adapting methods so they hold up on messy customer captures, lifting 2D semantic signals into geometrically consistent 3D, defining what "semantically correct" means for a downstream policy, and feeding what you learn back into the research agenda. You understand that the difficult part is often not the core method, but the messy inputs, edge cases, operational constraints, and downstream requirements surrounding it. You care about quality, cost, latency, and reliability, and you know that a system is only successful when people can depend on it. This is a hands-on engineering role for someone who wants to build, ship, and own outcomes. You'll help shape both the technology and the product, while remaining close to the code and the problems our customers are trying to solve. What You'll Do - Productionize 3D Scene Understanding Capabilities - Turn research prototypes in open-vocabulary segmentation, 3D semantic and instance labeling, affordance prediction, and scene graph construction into reliable pipeline components and services that operate across varied customer data and environments. - Own End-to-End Output Quality - Ensure that reconstructed environments carry labels, instances, and relationships that are consistent, complete, and correct enough for downstream simulation and policy learning, and define what "correct enough" means for each customer workflow. - Bridge Research and Production - Work day to day with the Embodied AI Research Scientist: pressure-test new methods on real customer data, identify where they break, and bring production and customer constraints back into research planning to prioritize the advances that matter most. - Make Systems Robust to the Real World - Diagnose failures caused by capture quality, scene complexity, scale, calibration, coordinate conventions, and other assumptions that prototypes often leave implicit. - Build Evaluation and Quality Infrastructure - Create datasets, regression tests, quality gates, and benchmarking tools that help the team measure whether changes improve the system. - Improve Performance, Throughput, and Cost - Profile and optimize GPU and distributed workloads, reduce unnecessary reruns, and help establish the economics of running reconstruction at scale. - Work Across the Product Boundary - Partner with Embodied AI product and engineering teams to understand customer requirements and deliver capabilities that fit real training, evaluation, and deployment workflows. Help evolve the representations, tooling, and operational systems that allow reconstructed environments to move reliably into customer applications. What You'll Bring - 5+ years of computer vision experience and a bachelor's degree or equivalent, - Significant experience building and operating production computer-vision, machine-learning, graphics, or data-processing systems. - Deep hands-on experience with scene understanding: semantic, instance, or panoptic segmentation; open-vocabulary detection and segmentation; or vision-language models applied to perception. - Experience taking 2D perception into 3D, such as multi-view label fusion, 3D semantic segmentation, instance tracking across views, or scene graph construction over reconstructed geometry. - Experience delivering reliable computer-vision or 3D systems used by other teams or customers, including the evaluation that proved they worked.. - Practical command of 3D and spatial data, including geometry, camera models, coordinate frames, calibration, and metric scale. - Strong Python and PyTorch skills, with the ability to work in C++ or other performance-oriented environments when needed. - Experience with cloud infrastructure, GPU workloads, distributed processing, or large-scale data pipelines. Nice to Have - Hands-on experience with 3D reconstruction, photogrammetry, structure from motion, Gaussian splatting, neural rendering, or meshing. - Experience with SLAM, visual positioning, localization, or large-scale mapping systems. - Experience with robotics, simulation, or embodied AI applications, in particular how semantic labels are consumed by a policy or a simulator. - Built evaluation or benchmarking infrastructure for perception or reconstruction systems. - Experience optimizing large-scale GPU inference workloads for cost, throughput, or latency. - A publication record or contributions to widely used open-source perception codebases. - Advanced degree in computer vision, robotics, machine learning, or a related field. Competencies - Relentless bias for action. You make decisions and ship as if the company’s success depends on it, because it does. You set the pace, and drive the people around you to rise to it. - Intellectually honest. You know there’s just one job that underpins every other in a startup: find the truth. You are relentless in your pursuit of it, including when it challenges your own convictions, and you raise concerns when you see them — even when it's uncomfortable, and especially when it's unpopular. - Pragmatic. You have no patience for not-invented-here Syndrome and analysis paralysis. You find the fastest path to a working capability without one-way doors that undermine scaling. - Strong systems instincts. You understand that production quality includes reliability, observability, cost, latency, maintainability, and usability—not just algorithmic accuracy. - Comfort with ambiguity. You can make progress when the problem, data, and requirements are still evolving. Compensation & Benefits Base salary range of $229,500 to $255,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco office, with three days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Developer Advocate at GitLab, you'll help technical audiences understand and use our intelligent orchestration platform where teams and their AI agents ship secure software faster. You'll go deep on the product, especially GitLab Duo Agent Platform and our newer capabilities, and continuously discover real-world workflows that teams care about. You'll turn that hands-on knowledge into demos, blog posts, videos, and presentations, and bring what you learn from customers and the developer community back to GitLab. This role focuses on showing the product in action and building relationships with customers and the community. You'll help cover events and work across U.S. and Canadian time zones. What you'll do Deeply understand GitLab's platform, especially our AI agent capabilities, and continuously find productive, real-world use cases worth showing. Create product content, including videos, blog posts, presentations, and social clips that show key use cases for GitLab in the user interface and terminal. Produce video content end to end: script, record, and edit product walkthroughs and demos, and collaborate with GitLab's video team on longer or higher-production pieces. Deliver product demos and participate in analyst briefings. Engage with customers through webinars, customer meetings, and other conversations. Participate in the developer community by engaging on the GitLab forum and Discord, following the conversations happening on social platforms, in newsletters, and at events, and making sure GitLab has a voice in the ones that matter. Answer technical questions that come through the sales team, and partner with support, sales, and product on developer-facing educational content. Use hands-on product experience to share feedback with product teams and test new features. Contribute to technical research and analysis of the developer tools landscape. Travel requirement up to 20% for events and customer meetings. What you'll bring Hands-on technical experience. You understand how software gets built, with a focus on everything that happens after code is written, and can talk about it credibly with engineers. Understanding of artificial intelligence and its use in software development, from coding all the way to production. You have built and operated agentic systems and infrastructure. The ability to explain technical products clearly. You can demo a product, record a walkthrough, or speak at a conference without it feeling forced. Fluency in developer social platforms. You know what's interesting to the people we're trying to reach and can participate in the conversation with credibility. Curiosity and self-direction. You're already finding the next thing worth talking about, following the right people, and noticing opportunities. Experience engaging with customers, developers, or technical communities. Ability to work independently and collaborate across sales, engineering, product, and other teams. About the team The Developer Advocacy team creates content that shows GitLab in use, engages with customers and the developer community, and brings hands-on product feedback to GitLab teams. The team also contributes technical research and analysis, while partnering with other groups to share its findings. 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 $115,200 — $194,400 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: New York, NY (HQ); Remote (US) 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 We’re seeking someone to lead the future of fraud machine learning at Ramp. In this role, you will help build core machine learning models, design data architectures, and set strategic roadmaps to help Ramp mitigate fraud-related threats while minimizing the friction experience by legitimate users. You will partner closely with product and engineering counterparts across model design, implementation, execution, and analysis. WHAT YOU’LL DO - Employ statistical and machine learning techniques on large datasets to discover patterns of fraud, platform abuse, and identity theft - Prototype and productionize machine learning models and rules-based systems to protect Ramp and its users from fraud - Partner closely with Fraud Engineering and Data Platform teams to augment and leverage data across first and third party sources, ensuring we’ve added as much context as possible to every decision we make - Contribute to the culture of Ramp’s machine learning team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way WHAT YOU NEED - Bachelor’s degree or above in Math, Economics, Physics, Computer Science, or other quantitative fields - A minimum of 5 years of industry experience as a Machine Learning Engineer, Applied Scientist or Data Scientist - Strong python experience (numpy, pandas, sklearn, pytorch etc.) across ML techniques and backend engineering - Prior experience deploying Machine Learning models to production and making meaningful contribution to backend systems - Strong knowledge of SQL (Snowflake, Postgres, etc.) - Fluency with agentic (AI) tools for software development and data analysis - Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions NICE-TO-HAVES - PhD in Math, Economics, Physics, Computer Science, or other quantitative fields - Context on Fraud and/or Identity Threat detection systems - Experience at a high-growth startup - Experience with the modern data stack ( Snowflake / Hex / dbt / RisingWave / etc ) - Strong perspective on data science + ML engineering development cycle, especially in a post-AI setting - Experience developing LLM-backed systems or tools 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: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Product team The Product team listens to our customers’ needs and translates those insights into a clear product vision. The team works closely with design, engineering, and analytics to build scalable financial products that empower people to manage their money with confidence. We rely on empathy, curiosity, and business sense to prioritize features and improve experiences. Our role is to lead with clarity, support cross-functional execution, and champion the user in every decision. About the role Affirm’s financial platforms power how loans are created, recorded, funded, serviced, and repaid, as well as how money moves across our products, partners, and markets. We’re looking for a Senior Director of Product Management to lead a portfolio spanning Capital and Affirm Bank, Loan Products, and Payment Services. This leader will oversee a large, multi-domain product organization of approximately 15 product managers, including experienced people managers, with room to grow. They will set the long-term strategy for their portfolio, modernize Affirm’s ledger and downstream financial pipelines, strengthen Payment Services, and expand our Money Movement capabilities. The ideal candidate brings deep financial-domain knowledge, strong platform judgment, international experience, and a record of developing senior product leaders. What you’ll do Lead and scale a high-performing product organization. Manage and develop experienced product leaders and people managers across Capital and Affirm Bank, Loan Products, and Payment Services. Shape the organization as its scope and size grow, while setting a high bar for product craft, strategy, execution, and talent development. Set the multi-year strategy for the portfolio. Establish a coherent direction across lending, Capital Markets, banking, the loan lifecycle, ledger and accounting capabilities, Money Movement, Open Banking, payment instruments, and processing. Modernize Affirm’s ledger and financial pipelines. Lead the strategy for evolving the systems that record and reconcile financial activity and support downstream Capital Markets, accounting, reporting, and Money Movement workflows. Improve scalability, reliability, controls, and development speed while protecting critical financial operations. Strengthen Payment Services. Develop the strategy for Open Banking, payment instruments, processing, routing, and related payment infrastructure. Improve payment success, resilience, processing flexibility, and transaction economics across Affirm’s products and markets. Expand Money Movement capabilities. Build the platforms and controls needed to support new account-based products, funds flows, payment rails, and financial experiences. Ensure settlement, reconciliation, reporting, and operational processes can scale with increasing product and geographic complexity. Advance Affirm’s lending, capital, and banking platforms. Guide the evolution of Loan Products, loan-lifecycle capabilities, Capital Markets systems, and Affirm Bank infrastructure. Develop shared capabilities that support new products and reduce fragmentation across financial systems. Deliver meaningful business and customer impact. Establish clear goals and success metrics across platform reliability, payment performance, processing costs, reconciliation accuracy, operational efficiency, financial controls, and the speed of launching new products and markets. Make sound platform investment decisions. Balance architectural modernization with product growth, regulatory requirements, operational risk, and near-term business needs. Establish clear sequencing and migration strategies for complex, interconnected systems. Drive cross-functional alignment at scale. Partner closely with Engineering, Analytics, Capital Markets, Treasury, Finance, Risk, Operations, Legal, Compliance, and Servicing to establish shared priorities and translate strategy into coordinated execution. Enable global scale. Build platform capabilities that support international markets and account for differences in payment rails, banking relationships, currencies, regulation, legal entities, controls, and operating models. Influence senior leadership. Clearly communicate strategy, investment priorities, performance, dependencies, and tradeoffs to executive stakeholders. Help shape decisions across the broader Financial Platforms organization. What we look for 15+ years of product management experience, including leading large, high-performing teams of PMs and people managers across multiple domains Demonstrated manager-of-managers experience, including developing senior leaders, designing organizations, hiring strong teams, and managing through growth and change Substantial experience across several relevant domains, including lending, Capital Markets, regulated banking, financial ledgers or accounting systems, Money Movement, payment processing, Open Banking, or consumer payments Direct experience leading complex platform or architecture transformations involving high-stakes financial systems Proven ability to define and execute multi-year strategies spanning customer experiences, complex platforms, and operational capabilities Strong knowledge of how money moves across financial products, institutions, processors, bank partners, and markets, including settlement, reconciliation, reporting, and operational controls Experience building financial products or platforms across multiple countries and navigating differences in payment rails, banking relationships, regulation, legal entities, currencies, and operating models Track record of driving alignment and execution across Engineering, Analytics, Capital Markets, Treasury, Finance, Risk, Operations, Legal, Compliance, and executive leadership Exceptional leadership and communication skills, with the ability to create clarity, influence senior stakeholders, and develop strong product leaders Proficiency with AI-assisted tools to accelerate analysis, decision-making, and team effectiveness Bachelor’s degree or equivalent practical experience Base Pay Grade - V Equity Grade - USA 21 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, CT, NJ, NY, WA) per year: $340,000 - $375,000 USA base pay range (all other U.S. states) per year: $305,000 - $340,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Mexico City Workplace: Remote We are looking for an Enterprise Account Executive to drive net-new logo acquisition across enterprise accounts across Mexico. WHAT YOU WILL BE DOING: - Identify, develop, and advance strategic opportunities; build and manage a high-quality pipeline; close both short-term Cloud monthly agreements and larger annual committed spend contracts. - Clearly articulate and evangelize the ClickHouse vision, positioning, and technical differentiation in the market. - Lead value-driven, solution-oriented sales engagements that align ClickHouse to measurable customer outcomes. - Represent and promote the innovation happening across ClickHouse and ClickHouse Cloud within your territory. - Maintain rigorous pipeline hygiene by documenting use cases, decision criteria, stakeholders, next steps, and forecasts in Salesforce. - Deliver accurate monthly forecasts with strong visibility into deal progression and risk factors. - Contribute to the regional user and developer ecosystem by participating in and hosting meetups, events, and community engagement initiatives in key metro markets. - Operate with urgency, ownership, and accountability in a fast-paced, high-growth environment.   WHAT YOU BRING ALONG: - Proven ability to orchestrate cross-functional resources — including Solutions Architects, leadership, and executive stakeholders — to drive complex opportunities to successful outcomes. - Ability to align ClickHouse Cloud solutions to customer business objectives, technical requirements, and long-term growth initiatives. - Recent experience working with GenAI or AI-native companies and an understanding of their data infrastructure needs. - 6+ years of enterprise SaaS sales experience; familiarity with open-source business models strongly preferred; demonstrated experience selling Cloud or infrastructure software required. - Passion for building long-term customer relationships and collaborating cross-functionally within diverse, high-performance teams. - Strong business acumen and technical fluency, with excellent written and verbal communication, negotiation, and executive presentation skills.   PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Distributed About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location - Germany Role Summary As a Forward Deployed Engineer (FDE) at Cloudflare, you will serve as a senior technical expert and advisor for our most strategic and complex customers. This role balances deep technical expertise with hands-on, onsite engagement, where you will architect solutions, optimize performance, and drive business success by helping customers maximize the value of Cloudflare’s platform. You will collaborate cross-functionally with Sales, Support, Product, and Engineering to advocate for customer needs and influence our product roadmap. We are looking for a seasoned technologist who thrives on solving real-world challenges and acting as a trusted advisor within our customers' unique environments. Role Responsibilities Serve as a trusted advisor to key enterprise customers, providing strategic recommendations and technical insights to drive success with Cloudflare’s solutions, specifically Workers and Workers AI platforms. Lead architectural discussions, design sessions, and solution reviews to ensure the optimal application of Cloudflare’s offerings in customer environments. Diagnose complex technical issues and deliver effective, strategic solutions in close collaboration with support and product teams. Manage and navigate complex configurations, utilizing Infrastructure as Code (Terraform) to ensure operational stability for customers. Partner with Sales, Customer Success, Support, Partners, Product Management, and Engineering to ensure customer insights directly influence the product roadmap and enhance the overall experience. Advise customers on industry best practices for security, network optimization, scalability, and performance tuning tailored to their specific operational needs. Stay current with industry trends and evolving Cloudflare solutions to provide forward-thinking guidance and configuration enhancements. Role Requirements (Must-Have Skills) In Depth Experience in a technical customer-facing role such as Solutions Architect or Technical Account Manager, ideally within cloud networking, security, or web infrastructure. Extensive knowledge of Cloudflare’s Application and Security portfolio (DNS, WAF, DDoS, Bot Management, CDN) and cloud infrastructure. Hands-on experience protecting and securing web applications, APIs, and web services using WAF, DDoS, DNS, and Bot Management tools. Proven ability to work with Cloudflare products within Enterprise-level accounts. Exceptional written and verbal communication skills, with the ability to present complex topics effectively to both technical and non-technical audiences. Strong consultative skills with a track record of successfully solving complex technical problems in customer environments. Ability to translate customer requirements into practical, scalable solutions that align with Cloudflare’s technology stack. Nice-to-Have Skills Hands-on experience with coding, Cloudflare Workers, and Workers AI. Prior experience in customer onsite placement. Compensation For Germany based hires: Estimated annual salary is between €123,000 - €169,000. This role is eligible to earn incentive compensation under Cloudflare's Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan. Equity This role is eligible to participate in Cloudflare's equity plan. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Oakland, California, United States 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. About the Role Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing. You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales. Technologies You'll Use Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You'll Do Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processing Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions Participate in and review technical designs and pull requests, providing constructive feedback to the team Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability Participate periodically in the on-call rotation, and be mindful of security throughout your work Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking For 5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up Experience working with distributed systems and cloud computing concepts Demonstrated ability to write well-structured, performant, and well-tested code Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs Can identify design flaws in existing systems and propose improvements Experience with code reviews, design, troubleshooting, and testing Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts Bonus Skills Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience building or working with metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem #LIHYBRID The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $174,915 — $209,906 USD 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: Denver, Colorado, United States, AMER 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. About the Role Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing. You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales. Technologies You'll Use Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You'll Do Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processing Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions Participate in and review technical designs and pull requests, providing constructive feedback to the team Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability Participate periodically in the on-call rotation, and be mindful of security throughout your work Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking For 5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up Experience working with distributed systems and cloud computing concepts Demonstrated ability to write well-structured, performant, and well-tested code Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs Can identify design flaws in existing systems and propose improvements Experience with code reviews, design, troubleshooting, and testing Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts Bonus Skills Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience building or working with metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem #LIHYBRID The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Ontario Pay Range $163,920 — $196,712 USD 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: Ontario, Canada 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. About the Role Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing. You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales. Technologies You'll Use Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You'll Do Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processing Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions Participate in and review technical designs and pull requests, providing constructive feedback to the team Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability Participate periodically in the on-call rotation, and be mindful of security throughout your work Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking For 5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up Experience working with distributed systems and cloud computing concepts Demonstrated ability to write well-structured, performant, and well-tested code Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs Can identify design flaws in existing systems and propose improvements Experience with code reviews, design, troubleshooting, and testing Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts Bonus Skills Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience building or working with metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem #LIHYBRID The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Ontario Pay Range $139,869 — $167,849.50 CAD 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: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. This is a future opportunity that may not be immediately available, but we're proactively building our pipeline of exceptional talent. At GitLab, we believe in connecting with outstanding professionals before we have an urgent need, allowing us to move quickly when the right moment arises. If you are excited about co-creating the future as we're building the most comprehensive AI-powered DevSecOps platform, we want to hear from you. Location: San Francisco An overview of this role As a Strategic Account Executive on our AMER Enterprise team, you'll help large, regulated organizations adopt, implement, and expand their use of GitLab’s AI-powered DevSecOps platform. You’ll focus on strategic enterprise prospects and customers, guiding them through complex DevSecOps and software delivery transformations across areas like CI/CD automation, secure development, and infrastructure modernization. In this role, you'll act as a key connector between customer stakeholders and GitLab’s field organization so GitLab is seen as a trusted, long-term partner before, during, and after the sale. In your first year, you’ll be expected to build and manage a healthy enterprise pipeline, create repeatable sales motions, and drive successful rollouts and adoption that translate into measurable results and long-term expansion. What you'll do Support GitLab’s strategic large prospects and customers as a trusted advisor throughout their DevSecOps journey. Drive the full sales cycle in large, complex enterprises, including prospecting, qualifying, developing, and closing new opportunities across your assigned accounts. Provide strong account leadership and direction in both the pre-sales and post-sales process to ensure customers realize value from GitLab’s AI-powered DevSecOps platform. Coordinate closely with Solutions Architects, Customer Success, Support, and strategic channel partners to design and execute account strategies that drive adoption, expansion, and retention. Develop and execute structured account plans based on customer business needs, including opportunity mapping, stakeholder alignment, and multi-threaded engagement across technical and business teams. Ensure successful rollout and ongoing adoption through proactive account management activities, regular business reviews, and clear alignment on customer outcomes. Prepare and deliver accurate activity and forecast reports, and contribute to root cause analysis on wins and losses while sharing lessons learned with account managers, marketing, and technical teams. Act as the voice of the customer by sharing feedback and product ideas, and use a consultative approach to create proposals, quotes, and presentations that clearly link GitLab’s solutions to customer business objectives. What you'll bring A true desire to see customers achieve meaningful outcomes and long-term value from their investment in GitLab. Experience driving complex B2B software sales cycles with large enterprises, ideally in DevSecOps, software development tools, or adjacent SaaS solutions. Proven success selling into large, strategic organizations, with the ability to build trusted relationships with C-level and senior stakeholders across business and technical teams. Able to provide a high degree of account management and control, working under minimal supervision on complex opportunities while maintaining clear communication and alignment. Ability to generate new business and expand existing accounts through consultative, multi-stakeholder sales motions that result in sustainable, long-term partnerships. Experience collaborating with strategic channel partners to develop opportunities, co-sell, and support successful customer adoption. Excellent negotiation, presentation, and closing skills, with effective written and verbal communication that influences internal and external stakeholders. Preferred experience with Git, software development tools, application lifecycle management, or security/application security tools. You share our values and work in accordance with them, use GitLab in your daily work, and are able to travel if needed while following GitLab’s travel policy. About the team The Enterprise Sales team is responsible for driving growth, adoption, and long-term value for GitLab's AI-powered DevSecOps platform with our largest and most strategic customers. As a Strategic Account Executive on the AMER Enterprise team, you'll be part of a distributed, all-remote team that works asynchronously across regions and partners closely with GitLab's sales engineering, marketing, and customer success teams. We value transparency, collaboration, and a consultative approach, and we support one another through shared account planning, regular deal reviews, and knowledge sharing focused on enterprise customers across regulated and large-scale environments. 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 $124,000 — $186,600 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: Remote Workplace: Remote About Prefect Prefect builds automation for an unpredictable world. The last decade of automation was about protecting workflows from unpredictability; in the agentic era, unpredictability is the point. Our mission is to give people confidence in automated work, whether that work is a mission-critical data pipeline or a fleet of AI agents. In August 2026, Prefect and Dagster, competitors for eight years, joined forces to build the next generation of automation infrastructure. Today, our ecosystem includes Dagster, the data platform; Prefect, the agent platform; and FastMCP, the leading open-source developer framework for the MCP ecosystem. Together, our open-source and commercial products are trusted by Fortune 500 companies, data innovators, and high-growth technology companies around the world. We think of our culture as the operating system of the company. We’ve carefully created a supportive, high-performance environment that empowers our team to do the best work of their careers, have meaningful impact, and continue growing personally and professionally. We’re a remote-first team that values high standards, ownership, and thoughtful collaboration. ROLE SUMMARY: Prefect acquired Dagster this summer. Our sales engineers now sell three things. Prefect Cloud. Dagster+. And the next generation of AI tooling we're building across both: governed access to tools and data for agents, and durable workflows where agents and humans do the work together. We're also selling something that isn't on a pricing page. FastMCP, our open-source MCP framework, sits inside a lot of production agent stacks, so teams come to us for how the whole thing should fit: the data layer, the orchestration layer, the context layer, and how agents and humans operate across all three. Much of what a sales engineer does here is demonstrate the art of the possible. You're a Senior Sales Engineer on the Prefect subject-matter-expert pod, reporting to Wayne Grigsby, Sales Engineering Lead. The pod sits alongside our Dagster pod, and both roll up to Director of Sales Engineering, who runs the function end to end, pre-sale and post-sale. This is a pre-sales seat. You pair with account executives on new business from the first technical call to signature: discovery, tailored demos, proofs of concepts, security and architecture reviews, and the slow procurement stretch at the end. You'll work across the whole platform. Your job is to figure out how the pieces fit for a given customer, then prove it. Location & Time Zone: This is a remote, U.S.-based role. We're prioritizing candidates in the Eastern and Central time zones to ensure strong coverage for customers across the U.S. East Coast and Europe. Candidates in other locations who can consistently support these working hours are also encouraged to apply. WHAT YOU'LL DO: - Own the technical side of enterprise deals. From discovery through close: advising prospects, presenting and demonstrating the value of our platforms from a technical perspective. - Distill the use case. Most prospects don't arrive with a clean requirement. They arrive with a data platform, a pile of tools, a team of engineers and users expecting answers, and a budget. You figure out how our products fit together to solve for their use case, then help them validate the approach. - Sell across the platform. A single conversation can span Prefect, Dagster, FastMCP, hybrid architecture, and AI governance, often with a team that knows where it wants to end up but not how to get there. - Turn field signal into product direction. Sales engineers are the closest thing to a market pulse this company has. You'll carry what you hear into our GTM-engineering partnership channels, with evidence, and push when it matters. - Build the things we sell with. Demo environments, architecture diagrams, competitive battlecards, contributions to our internal repos, personal projects, and the occasional blog post. - Contribute and advocate for your ideas. Champion the culture, and keep projects from quietly failing. When something is going sideways, you say so early and you help fix it. YOUR QUALIFICATIONS: Five things. If you have these, apply, even if the nice-to-haves are thin. 1. 3+ years of engineering experience, building real solutions. Data engineering, DevOps, software engineering, data science: the discipline matters less than the fact that you've built something programmatically and shipped it. Python is our house language. 2. 2+ years in a customer facing role. Deep discovery skills and the habit of uncovering the real problem before proposing anything is key. You ask the second and third question, and you notice what the customer isn't saying. 3. Curiosity first, then creativity. You take things apart to see how they work, and you don't stop at the docs. Then you put the pieces together in ways nobody handed you: a new use case, a demo that didn't exist yesterday, a workaround the customer didn't know was possible. 4. You explain hard things clearly to engineers. What's required is that a senior platform engineer finishes a call with you and trusts you. Nice to have: - 2+ years of prior sales engineering experience. - 2+ years of Enterprise infrastructure depth. In at least one major cloud (Azure, AWS, or GCP), and comfort with Kubernetes, networking, IAM, service mesh, and a production database like Postgres. - Orchestration tooling as a user, builder, or seller: Prefect, Dagster, Airflow, Temporal, Step Functions, etc. - Fascinated by AI and tinkering with MCP, agents, or LLM applications. WHAT YOU'LL GET IN RETURN: OTE Ranges : - San Francisco Bay Area & NYC Metro: $252,000–$301,000 (OTE) - Washington D.C., Boston, LA Metro, Seattle: $241,000–$280,000 (OTE) - Denver, Chicago, Atlanta, & all other U.S. metros: $233,000–$279,000 (OTE) Actual base salary within each range depends on the candidate's location, experience, and qualifications. Equity and benefits are not included in the range above. Your recruiter can share more about the salary range for your preferred location during the hiring process. Perks and Benefits: - Remote-first team with flexible-first culture - Equity Stock Options - 401(k) with 5% company match (vests immediately!) - Unlimited PTO - Medical, Dental and Vision insurance - Generous Parental Leave - Life Insurance and Disability benefits - $800/month remote work stipend And that's just the start — for more info check out our benefits and perks on our careers page. BELONGINGNESS AT PREFECT: Belongingness at Prefect is our commitment to ensuring mutual power, access, and opportunity among all groups and individuals who make up our community. We operationalize belongingness through actions large and small on a daily basis, but always with the goal that all groups and individuals can contribute as their most authentic self to the evolution of our product, our team, and our community. Belongingness is also our commitment to bridge with individuals or groups not yet established in our community, acknowledge differences in a way that affirms distinct identities, and allows for a new, more expansive group identity to form. EQUAL OPPORTUNITY AT PREFECT: Prefect is an equal opportunity employer and encourages applications from people of all backgrounds. All applicants will be considered for employment without attention to race, religion, color, sex (including pregnancy, sexual orientation and gender identity/expression), national origin, disability or any other status protected under applicable federal, state, or local laws. Delaney is a real live person (👋🏻) and is looking forward to learning more about you through your application.

Location: New York; Stockholm; San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re growing our Data team and are looking for our first few key hires to build self-serve data tools and drive business strategy in the right direction. The mission of the Modal Data team is to make it easy to track company goals, make evidence-backed decisions, and prioritize the right work. We do this via: - Self-serve AI analytics tools (Hex, Snowflake) - Embedding with teams as a “data adviser,” providing strategic analysis and consulting WHAT YOU'LL WORK ON: - Contribute to building the most modern analytics stack https://modal.com/blog/analytics-stack in data today to support AI-driven self-serve analysis, key metrics tracking, and external customer reporting - Influence work on new products like LLM Inference Endpoints https://modal.com/blog/qwen3-8-2-4t-a95b-now-available-on-modal through product analytics tracking - Identify millions of dollars of cost savings and optimization across our tools and financial operations - Write data pipelines that power the operations of our business, such as our cloud compute economics or sales comp - Create foundational datasets that can be used by people and AI tools to answer questions around product use cases, financial reporting, and marketing campaigns YOU MAY BE A FIT IF: - You’re fluent in SQL and proficient in Python - You have professional experience with at least 2 of the following tools: Snowflake, dbt, dlt, Modal, Hex, PostHog - You extend your work beyond just data reporting and into action and impact - You have high attention to detail - You’re an excellent and precise communicator - You’re personable and great at building relationships NICE-TO-HAVE: - Experience with AI products, especially LLM inference and sandboxes - Experience in fin ops, fraud, sales ops, or risk, especially in the context of AI (e.g. token cost optimization) - Project management skills - Strong presence in the data community online and offline

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re looking for a Corporate Accounting Manager to support the general ledger, the close, and our accounting processes and controls as Baseten scales. This is a hands-on, individual-contributor role for someone who wants full ownership of the core accounting function at a company where the entity structure, transaction volume, and reporting requirements are growing quickly. You’ll join the corporate accounting team and take on the general ledger, vendor contract review, the close calendar, and our internal control environment as the business grows. We are focused on tightening close procedures, strengthening controls, and building reporting rigor to support the scale ahead. You’ll partner closely with FP&A, Data, and cross-functional partners to make sure the books close on time and accurately every cycle. Baseten is building the infrastructure layer for AI-native companies, and we're scaling quickly - in headcount, entity structure, transaction volume, and contract complexity and volume and vendor size. If you want real ownership over a growing function on a lean team, this role offers real scope. RESPONSIBILITIES General Ledger and Financial Reporting - Own day-to-day execution of general ledger journal entries, account reconciliations, and monthly financial statement preparation as the entity structure grows - Own recurring close areas, including accruals, prepaids, fixed assets, and equity compensation - Lead month-end and year-end close, setting the calendar and holding FP&A, Data, and cross-functional partners so the books close on time every cycle - Prepare and review monthly financial statements and flux analysis for accounting and finance leadership - Identify and automate the manual, error-prone steps that slow the close down Controls and Audit - Partner directly with cross-functional teams and external auditors to keep internal controls tight and the company audit-ready - Own audit deliverables, including technical accounting memos, schedules, and sample testing support Systems and Cross-Functional Partnership - Support day-to-day administration and maintenance of our accounting systems stack, including NetSuite and our spend management platform, and push for automation over manual workarounds - Partner with FP&A on reporting, forecasting inputs, and variance analysis - Support FP&A, Legal, and Procurement on the accounting implications of new entities, contracts, and programs REQUIREMENTS - 5+ years of progressive accounting experience, including 3+ years focused specifically on corporate accounting, general ledger, and close management - Deep working knowledge of US GAAP across core corporate accounting areas, including accruals, prepaids, fixed assets, debt and leases - Hands-on experience owning account reconciliations and preparing monthly financial statements - Experience owning the close calendar directly, not just contributing to a close run by someone else - Public company or audit-ready private company experience (Big 4 or industry, with audit exposure) - Builder mentality with a bias toward execution; comfortable operating on a lean team relative to company scale - Experience with NetSuite (or comparable ERP) and a modern spend management platform - Based in San Francisco or New York, with the ability to work in-person 3+ days per week NICE TO HAVE - Experience at a high-growth, venture-backed infrastructure or cloud company - Experience supporting multi-entity or international consolidations - Integrate AI tools to optimize/redesign workflows and drive measurable impact - CPA - Exposure to SOX or SOX-readiness controls work BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: London Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. Role Overview Join Tripledot Studios as a Senior Machine Learning Engineer working on dynamic pricing and recommender systems use cases in our games. The work involves tabular machine learning, including neural networks and approaches such as gradient-boosted decision trees. You'll focus on understanding the data, developing features and improving the models, rather than primarily owning production deployment. You'll work toward defined near-term ML targetds, collaborating with the monetization team and game product teams to plan A/B tests. Over the longer term, you'll work with those teams to translate product and monetization requirements into ML objectives. You'll start by learning the project and its business goals. Within the first three months, we'd expect you to contribute to the training pipeline and investigate features and model issues. By around six months, the aim is for you to take a more proactive role in setting the model's direction. Key Responsibilities Build and improve training pipelines for dynamic pricing and recommender system models, from feature and label design through training, tuning and offline evaluation of tabular models such as neural networks and gradient-boosted trees. Monitor model performance once models are live across games and products. Investigate data and concept drift, including shifts tied to new titles, client versions or user behaviour, and make models easier to extend to another product. Diagnose missed model outcomes across the training pipeline, business logic and underlying data, then work through the improvements needed to restore model quality. Work with monetization and product colleagues to connect model decisions to revenue and player outcomes, and help plan the A/B tests that inform what ships. As you get up to speed, identify gaps in the team's understanding of the models and propose improvements to their direction. Required Skills, Knowledge and Expertise Hands-on training and evaluation of tabular models, using neural networks or gradient-boosted trees. Experience with PyTorch, PyTorch Lightning, TensorFlow, XGBoost, CatBoost or scikit-learn could all be relevant; no single framework is required. Experience designing features and labels, choosing metrics for the decision a model makes and judging when offline results warrant an A/B test. Proficiency in SQL and the ability to write efficient queries to extract, manipulate and aggregate data from relational databases. An investigative approach to incomplete data and longer-term requirements that need clarification. The ability to explain model results to monetization and product partners in terms of revenue and player outcomes. Experience in ad tech, recommender systems or online marketplaces would be useful, as would experience with production APIs or deploying ML models. Experience with the Ray framework would also be a plus. None of these is required for the role. Uses AI-assisted development tools, including code assistants and LLM-based copilots, to accelerate implementation, debugging and iteration of machine learning systems while maintaining production-quality standards. Critically reviews and validates AI-generated code, model implementations and infrastructure configurations for reliability, correctness and maintainability, and explores AI-powered approaches to improve developer productivity or ML platform capability. Working for Tripledot 25 days paid holiday in addition to bank holidays to relax and refresh throughout the year Hybrid Working 20 days remote working: Work from anywhere in the world, or use the time to cover mandatory office days to WFH, 20 days of the year. Daily Free Lunch: when in the office you get £12 every day to order from JustEat. Regular company events and rewards: quarterly on-site and off-site events that celebrate cultural events, our achievements and our team spirit. Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand. Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program [subject to policy] Life Assurance & Group Income Cover: Financial protection for you and your loved ones. Continuous Professional Development: Propel your career with continuous opportunities for professional development. Private Medical Cover & Health Cash Plan: Opt-in (P11d benefit) comprehensive private medical cover with Bupa and cash plan with Medicash. Dental Cover: Opt-in (P11d benefit). Cycle to Work Scheme: Salary sacrifice bike purchase scheme. Pension Plan: Qualifying earnings or opt-in 4% contributory match schemes offered.