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Location: US Please note that all communications regarding this position will be sent exclusively from an email address ending in @planetscale.com Any correspondence relating to this role will only originate from this domain. PlanetScale is growing rapidly and reinventing the database space. The PlanetScale platform offers both Postgres and Vitess clusters. Vitess, an open-source database clustering system for horizontal scaling of MySQL, enables businesses to efficiently handle large-scale data workloads — without sacrificing developer experience. Our customers entrust us with what is often their most precious digital asset, their data, so the stakes couldn’t be higher. We’re looking for a Customer Support Engineer to help developers and businesses get the most out of PlanetScale, resolve issues quickly, and build the support function that helps us scale. What’s the job to be done? You will advise and handle support requests from customers and developers on the PlanetScale platform. You will respond to, debug, and resolve customer support issues through support tickets, customer Slack channels, public discussions, and other support channels. You will help customers understand how to use PlanetScale effectively, including how to reason about queries, schema changes, application behavior, database connectivity, and production workflows. You will create and improve internal and external documentation, support playbooks, troubleshooting guides, and customer-facing materials. You will identify product gaps and recurring sources of customer friction, then work with Engineering to prioritize improvements. You will contribute to the systems, processes, and practices that help PlanetScale deliver excellent developer-focused support at scale. These attributes best describe you. You are customer-focused, empathetic, and clear in how you communicate, while knowing when to push back in ways that help customers become successful on their own. You have excellent debugging and troubleshooting skills, with the curiosity and persistence to follow issues across applications, databases, infrastructure, and product behavior. You are comfortable stepping outside your comfort zone. Whether that means reading unfamiliar application code, digging into database behavior, testing a new framework, or learning a connector you haven’t used before, you’re willing to go where the problem leads. You are a self-starting, enthusiastic individual who takes responsibility for outcomes and wants to make a meaningful impact on the business. You can operate independently, but you know when to ask for help and how to bring the right people into an issue. You are highly organized and able to operate in ambiguous or changing situations. You are data-driven, team-oriented, and comfortable communicating across many audiences. You enjoy working cross-functionally and translating customer pain into actionable product, documentation, and process improvements. What you will need. Experience supporting production applications, databases, developer tools, infrastructure, or other technical products. Working knowledge of SQL, preferably with experience in MySQL and/or PostgreSQL. Strong debugging skills and the ability to reason through application and database behavior. Programming experience. You will not be programming full-time, but you should be comfortable reading and navigating unfamiliar code to understand customer issues. Experience with common application frameworks, ORMs, database connectors, or application deployment patterns. Willingness to explore new languages, frameworks, tools, and customer environments as needed. Strong written and verbal communication skills. Strong empathy for customers, developers, and teammates, with the ability to advocate for customer needs clearly and constructively. What else will help you be successful. Experience working in a remote organization. Experience with cloud platforms such as AWS, GCP, or Azure. Knowledge of monitoring, observability, and debugging tools. Experience helping build support processes, documentation systems, or teams from an early stage. Why PlanetScale. We’re redefining how high-growth companies manage data at scale — and we work with some of the most exciting brands in gaming, consumer tech, and B2B SaaS. As a Customer Support Engineer, you’ll be on the front lines helping developers and businesses solve real production problems, while also shaping the product, documentation, and support systems that make PlanetScale better for every customer. PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America. At PlanetScale we believe in supporting people to do their best work and thrive no matter the location. Our mission is to build a diverse, equitable, and inclusive company. We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status. If you have a disability, please let us know if there’s any way we can make the interview process better for you; we’re happy to accommodate! Total Compensation and Pay Transparency An employee’s total compensation consists of base salary + variable comp where appropriate + benefits + equity. A member of our Talent Acquisition team will be happy to answer any further questions when we engage with you to begin the interview process. Base salary range: $150,000 - $200,000 USD

Location: San Francisco NOTE ON ELIGIBILITY: this role is for industry candidates already working in software engineering for the past 1+ years. New grads and current students should NOT apply to this role (instead, visit pplx.ai/newgrads https://pplx.ai/newgrads). ABOUT THE ROLE In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, through Search, Comet, and Computer. Product Engineering owns those experiences end to end, from the interface a user touches to the search and model calls behind it, on top of roughly 200M queries a day and a 200B+ URL index. This is a full stack role in the truest sense. There are no frontend or backend lanes here, and no one waits for a ticket before starting. It suits people who love to build and want the room to do it. What you have shipped and how quickly you learn tell us far more than years on a resume or where you went to school. WHAT YOU WILL DO - Own a user-facing surface end to end, from the interaction, design, and frontend through the application logic, APIs, data models, and the search or model calls behind them. - Ship to production continuously. New engineers typically have code in front of users in their first week. - Build with AI as a primary tool, not a novelty. We expect you to use agents and coding models aggressively to move faster, and to have sound judgment about when their output is wrong. - Turn ambiguous product ideas into working prototypes, then use real usage data and evals to decide what survives. - Raise the quality bar on reliability, latency, and craft for the surfaces you own. - Work directly with designers, PMs, and research engineers, without unnecessary process in between. WHAT WE LOOK FOR - 1+ years of professional software engineering experience, or a track record of strong internships where you shipped production code at scale. - Strong in at least one backend language, such as Python or Go, with real experience across services, APIs, and relational data modeling. Comfortable working in React and TypeScript on the frontend. - Real evidence of building: production work you understand in depth, shipped side projects with actual users, meaningful open-source contributions, hackathon wins, or research you turned into working software. - Comfort with ambiguity and an instinct to start building incrementally rather than wait for a spec. - Hands-on experience with AI products, with opinions about their rough edges and what that means for the product you are building. NICE TO HAVE - Experience with our stack: React or Next.js, Python, Go, PostgreSQL, Redis, Docker, AWS. You will not be expected to know all of it on day one. - Experience building on top of LLMs: AI orchestration, RAG, evals, agents, tool use. - Product taste. You can tell a good interface from a bad one and explain how to improve it. - A public track record we can read, such as GitHub, a technical blog, or a demo we can try.

Location: San Francisco NOTE ON ELIGIBILITY: this role is for industry candidates already working in software engineering for the past 1+ years. New grads and current students should NOT apply to this role (instead, visit pplx.ai/newgrads https://pplx.ai/newgrads). ABOUT THE ROLE In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, through Search, Comet, and Computer. Product Engineering owns those experiences end to end, from the interface a user touches to the search and model calls behind it, on top of roughly 200M queries a day and a 200B+ URL index. This is a full stack role in the truest sense. There are no frontend or backend lanes here, and no one waits for a ticket before starting. It suits people who love to build and want the room to do it. What you have shipped and how quickly you learn tell us far more than years on a resume or where you went to school. WHAT YOU WILL DO - Own a user-facing surface end to end, from the interaction, design, and frontend through the application logic, APIs, data models, and the search or model calls behind them. - Ship to production continuously. New engineers typically have code in front of users in their first week. - Build with AI as a primary tool, not a novelty. We expect you to use agents and coding models aggressively to move faster, and to have sound judgment about when their output is wrong. - Turn ambiguous product ideas into working prototypes, then use real usage data and evals to decide what survives. - Raise the quality bar on reliability, latency, and craft for the surfaces you own. - Work directly with designers, PMs, and research engineers, without unnecessary process in between. WHAT WE LOOK FOR - 1+ years of professional software engineering experience, or a track record of strong internships where you shipped production code at scale. - Strong in at least one backend language, such as Python or Go, with real experience across services, APIs, and relational data modeling. Comfortable working in React and TypeScript on the frontend. - Real evidence of building: production work you understand in depth, shipped side projects with actual users, meaningful open-source contributions, hackathon wins, or research you turned into working software. - Comfort with ambiguity and an instinct to start building incrementally rather than wait for a spec. - Hands-on experience with AI products, with opinions about their rough edges and what that means for the product you are building. NICE TO HAVE - Experience with our stack: React or Next.js, Python, Go, PostgreSQL, Redis, Docker, AWS. You will not be expected to know all of it on day one. - Experience building on top of LLMs: AI orchestration, RAG, evals, agents, tool use. - Product taste. You can tell a good interface from a bad one and explain how to improve it. - A public track record we can read, such as GitHub, a technical blog, or a demo we can try.

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: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. The Role Fanatics is building a connected ecosystem where fans can move across Betting & Gaming, Collectibles, Live, FanApp and more, powered by a single identity, a shared loyalty system, and common product experiences. We are looking for a senior product leader to build the social and community layer of that ecosystem. This is a growth job. One fan meets us across our products and is alone in all of them. We pay to acquire them four times and we work to keep them four times. The room to grow inside what we already own is bigger than anything more media spend or an additional vertical would get us. Social is how we connect it. Fandom is a group activity and our products treat it as a solo one. Profiles, friends, groups, sharing, competition and status are the mechanics that bring acquisition cost down, carry a fan from one product into the next, and give people a reason to come back that isn't another push notification. The other half of it is knowing who the fan is. We know who someone roots for, what they collect, what they've sat through as a fan. That turns a cross-sell into recognition, and it lets us answer a moment in one product with something real from another. It's a network of fans who are known and connected to each other organically. You will own social end to end: the thesis, the roadmap, the mechanics, the growth numbers and the gamification layer that sits on top. Why This Role Matters Today our products are social in name only. Fans arrive alone, play alone, and leave without having met anyone. Every vertical acquires and retains its own users, discovery runs on merchandising slots rather than on what a fan's friends are doing, and identity mostly resets at every front door a user enters here. The result is separate funnels where there should be one network. As the product leader for Growth, Social & Community, you will: Define where ecosystem growth comes from and which social mechanics unlock it Build identity and public profile as a real product Create acquisition loops that come out of the product itself Turn shared experience into a retention mechanic the whole ecosystem benefits from Make the value of a social lever measurable enough to fund Your work will directly affect blended acquisition cost, cross-product penetration and retention, Fanatics ONE membership and engagement, and the rate at which fans move from their first product into their second and third. What You'll Do Own the growth thesis and the roadmap Write the point of view: where the growth comes from, which social mechanics get us there, what each one is worth, and the order to build them in. Keep a live read on where consumer social is going and what it means for us. Build acquisition that doesn't come out of the media budget Invite, referral and friend discovery built into the product rather than sitting next to it. Sharing that fans actually want to do, which means moments worth sending rather than a share button bolted on Social surfaces that put Fanatics in front of people who aren't customers yet Connect the ecosystem through identity and the social graph Identity and a public social profile built as a real product: who someone is across verticals, who they root for, what they collect, what they're good at, carried with them instead of reset at every front door. Reputation and a record worth showing off to all fans One social graph that every vertical uses instead of each building its own. Discovery driven by what a fan's friends are doing A privacy model where being public is a choice and a safe one. Design for moments rather than campaigns Fandom runs on highs and lows, and the ecosystem gives us both the signal to see them and the means to respond. Work from context and not just behavior, understand what happened to a fan and how the fan feels about it. Bring generosity, perfect timing, and a bias toward being on the fan's side Build community that keeps people around Shared experience, including the plain fact of knowing that thousands of other fans are sitting in the same moment you are, sweating it together. Own the gamification layer Progression that means something Group and squad competition, what makes a fan recruit their friends. A clear position on where rewards genuinely change behavior and how to introduce Prove it with data Define what a social lever is worth Density against retention, invite and share loops against acquisition cost, cross-product LTV, and what a second and third product per fan is actually worth. The Bar We are not trying to catch up. We intend to be where this happens for sports fans, and we have the fan base and the ecosystem to make that the clear outcome. You are expected to know what is shipping in that space before it ships, and to tell us what it means for us. You will be working with a small, strong, AI-forward team that moves quickly. Keeping pace with them is part of the job. In practice that means you prototype, you get something in front of fans this week, and you don't wait on a sprint cycle to think and make decisions. How We Measure Success Reduction in blended acquisition cost attributable to in-product social loops Share of fans connected to at least one other fan, and density on the surfaces that matter Rate at which fans move from a first product into a second and third Retention and engagement lift among connected fans versus unconnected ones Fanatics ONE membership growth and login adoption across products Adoption of shared social and identity components by partner teams What You Bring Eight or more years in product, with real time on growth and real time on social, community or network products at consumer scale Social products rather than social features. Things where the value came from other users, and you know how graphs get built You've carried a growth number and can defend a roadmap to it Both ends of the funnel. Acquisition and retention The ability to write the narrative that gets a company aligned, and to sit with two engineers and a designer and get something in front of users this week You build fast. Prototypes over specs, days over quarters, and you cut things quickly when they don't work You use consumer social products and have opinions about them. You also understand how fans behave, the loyalty and the superstition and the heartbreak You decide at 80%, write down why, and change your mind when the data says to You can write the query, design the test, debate incrementality with a data scientist, and tell a real lift from a seasonal one You've dealt with the ugly side of user-generated content before - moderation, abuse, bad actors Things That Make Us Lean Forward A social product you shipped that outlived the team that built it A graph you grew from nothing, and a clear story about how you solved cold start Users you moved between products or business units at scale Something you built that made people feel recognized Something you killed because the data said to Three social products you admire, why each loop works, and where each one breaks Work across P&Ls where you owned the outcome but not the roadmap Something public. A product, a repo, writing, a community you started and grew Experience shipping social or UGC inside a regulated or high-scrutiny environment Why You'll Love This Role You'll build the social layer for one of the largest fan bases in sports The vision is yours to write, and it comes with real investment behind it Your work shows up across every Fanatics product rather than inside one of them You'll work with strong partners across Product, Design, Engineering and Data There is a shipping v1 to learn from and an open 2027 to define #LI-LS2 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $200,000 — $230,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

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, AMER Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We’re looking for a OrioleDB Deployment Engineer to join our OrioleDB Team and help elevate our OrioleDB offering. You’ll work closely with the OrioleDB team, playing an instrumental role in technical decision-making and refining internal methodologies. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. WHAT YOU’LL BE RESPONSIBLE FOR - Package software into our supabase/postgres repo using Nix (with flakes), and help us transition our packaging from traditional to Nix packaging more over time. - Manage OrioleDB release lifecycles, ensuring timely major, minor, and extension upgrades. - Expand platform release systems to allow developers to increasingly self-service. - Optimize CI/CD and tooling, specifically expanding GitHub Actions, team tooling, and testing/release approaches. - Resolve production issues by proactively identifying and fixing problems in customer deployments. - Maintain best practices and tests to ensure enhanced stability and decreased deployment risks. - co-owning the integration of OrioleDB into the supabase product YOU MIGHT BE A GOOD FIT IF YOU - Have 3+ years of experience with PostgreSQL and its ecosystem, including extensions and performance optimization. - Are an Infrastructure Expert with proven experience in management, tooling, and optimization. - Are proficient in the Nix package management system (including flakes) alongside Ansible, Packer, Docker, QEMU/KVM, AWS, and Kubernetes. - Have experience building for multiple architectures, specifically Linux and Darwin/macOS aarch64 targets. - Are comfortable with polyglot environments, including builds for C/C++, Go, JavaScript, and Rust-based projects. - Communicate clearly across both technical and non-technical audiences, especially when interacting with customers. - Have experience in async or globally distributed teams and value independent, proactive problem-solving. - Are willing to mentor, taking on responsibility for teaching the engineering team to use and contribute to our Nix-based work. - Have experience with integration of emerging features into widely used managed hosted product platforms WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - 200+ team members - 40+ countries - 15+ languages spoken - $496M raised - 430,000+ community members - 30,000+ memes posted (and counting) We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Espoo Workplace: Hybrid ROLE HIGHLIGHTS: - Staff Software Engineer (Commercial Platform) - Location: Espoo, Finland - Department: Business Automation - Reports to: Senior Engineering Manager - Employment type: Permanent - Workplace model: Hybrid, 3 days a week at the office - Employment is subject to applicable security screening (incl. SUPO) WHY THIS ROLE MATTERS: As a Staff Software Engineer, you will own the architecture behind how customers discover, order, receive and pay for ICEYE's SAR imagery and monitoring insights.. You will decide how several existing backend systems become one platform, and you will see that migration through to production. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES - Build the platform at the heart of ICEYE's data business: it's how customers buy and receive our imagery and insights, and it will drive the Data business's revenue for years to come. - Own the technical architecture and migration plan for bringing several existing backend systems together into one unified platform behind ICEYE's monitoring intelligence products. - Make the key architecture and data-model decisions and hands-on drive them through execution across multiple engineering teams. - Deliver the platform's first production milestone together with the team within the first quarter of 2027. Then lead the migration of the remaining live products onto it without disrupting customers. - Set the technical standards other engineers build against as the platform consolidation continues. - Bring a point of view on where AI-assisted engineering practices genuinely help the team, and help others apply them. - Partner directly with product and engineering leadership to keep the migration aligned as priorities evolve. WHAT WE'RE LOOKING FOR - Backend production engineering experience in Go, or deep enough backend expertise in a similar language to ramp quickly. - Hands-on experience with PostgreSQL and event-driven, message-based architectures. - Production experience with a major cloud provider (AWS preferred). - Practical experience with observability tooling such as LGTM stack, Datadog and OpenTelemetry. - A track record of technically leading an architecture renewal, platform consolidation, or large-scale migration end to end, not just contributing to one. - Proven ability to bring multiple engineering teams and stakeholders to a shared technical direction. - Geospatial or space industry experience is a strong plus that will help you have an impact quickly. If you don't have it, apply anyway: most of our engineers learned the domain here. APPLICATION PROCESS - TA Partner screening call (30 minutes) - Hiring manager interview (1 hour) - Technical interview (2 hours) - Values & Fit interview (1 hour) - Final interview with SVP of Engineering (1 hour) WORKING AT ICEYE At ICEYE, you'll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the "why" behind decisions. - See the big picture: Stay close to what's happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters, and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Base salary range for this position is 8,500-10,500 EUR per month (gross), depending on experience, and will be negotiated individually. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We're committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us, we'll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

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: Los Angeles, USA As Technical Producers at Riot, we lead passionate technical teams to create products and experiences that deliver maximum developer and player value. We guide development, clear blockers, and push projects across the finish line while ensuring that our teams are sustainable and have a collaborative environment. As a Technical Producer III on the Core Tech team, you will lead a complex technical team and projects that deliver the tools and engine capabilities used to develop Teamfight Tactics. You will own strong delivery processes within the team and ensure that collaboration with external teams runs smoothly. You will oversee product roadmaps, delivery, work systems, and execution, while providing initiative leadership with visibility into complex deliverables, risks, and dependencies. You will also ensure that the team works at a sustainable pace and continuously improves. You will report to the Initiative Delivery Lead for the Core Tech initiative on TFT. Responsibilities: Run day-to-day production operations and development processes for complex technical teams Lead complex projects involving multiple disciplines, teams, and organizational partners Partner with Engineering and Product leads to develop the team’s technical product vision, strategy, and roadmap Manage delivery plans, risks, dependencies, tradeoffs, and stakeholder communication Improve work systems, team performance metrics, delivery predictability, and goal setting Assess team health, composition, and capacity to ensure the team is set up for success Increase development efficiency through simplification and standardization Mentor other producers and contribute ideas beyond your immediate ownership across teams and disciplines Required Qualifications: Minimum of 6 years of experience as a Producer, Product Manager, or Development Manager on medium-to-large technical teams Bachelor’s degree in Computer Science or a related field, or equivalent experience with strong technical knowledge and problem-solving skills Experience independently leading complex technical projects with multiple teams, stakeholders, or dependencies Experience applying Agile and Lean development processes Excellent team leadership and the ability to refine technical product vision Experience working with teams building engine capabilities, platform technology, or gameplay features Skilled at managing diverse stakeholders, building alignment across teams, and navigating complex organizational dynamics Strong understanding of product management and the ability to find balanced solutions across technical, developer, and delivery constraints Expert of Jira use, configuration, and limitations Desired Qualifications: Experience working with teams building software or tools for internal users Experience in game development or a strong understanding of how artists, engineers, and game designers build assets and features for a modern game For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: London 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. Niantic Spatial's R&D Team in London is seeking a Research Scientist to push the frontiers of Spatial AI, advancing our Large Geospatial Model as a dedicated member of the Embodied AI group. You will invent and develop algorithms and systems that sit at the cross-section of computer vision, machine learning, AI, graphics, and robotics. We're passionate about discovery, so we're looking for scientists who want to learn, publish, teach, and deploy every new invention. What You'll Do - Develop New Spatial Representations - Develop new spatial representations that embodied AI can learn from, train in, and act on. - Advance Real-to-Sim Pipelines - Advance real-to-sim pipelines connecting real-world observations, 3D reconstruction, simulation, and robotic policy learning. - Solve Emerging Spatial Problems - Solve emerging problems that relate to spatial intelligence, 3D scene representation, training data, model efficiency, and interactive systems. - Take Capabilities Through to Evidence - Take new capabilities through to evidence: what changed for the policy, not only what changed in the reconstruction. - Build Prototypes - Build proof of concept prototypes, initially for internal use, where some will need to run at production scale on customer data. - Collaborate Across Research and Product - Collaborate closely with researchers, engineers, and product partners to bring novel models to production. - Publish Your Work - Publish and present your work. What You'll Bring - A PhD in computer vision, robotics, graphics, machine learning, or a related field, or equivalent research experience, with a publication record at top venues. - Substantial expertise in robotics or embodied AI, including experience in sim-to-real transfer, domain randomization, policy evaluation, and simulation-based learning. - Deep experience with 3D scene representations: Gaussian splatting, neural fields, meshes, point clouds, or implicit representations. - You have applied generative or diffusion models to 3D data, such as scene completion, inpainting, relighting, or novel view synthesis from sparse capture. - You have worked on 3D semantics, open-vocabulary scene understanding, or scene graphs. - Proficiency in Python and Deep Learning libraries such as PyTorch. - GPU or graphics programming experience, such as custom CUDA kernels, shaders, or differentiable rendering. - A track record of contributing to widely used open-source research codebases. Nice to Have - Proficiency in C++. Compensation & Benefits Base salary range of £103,500 to £202,500. Compensation also includes an annual bonus, equity, and a comprehensive benefits package. Location & Work Model This role is based in our London 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: Woodland Animal Hospital - Carmel, Indiana Looking for a part-time veterinary role that gives you flexibility, autonomy, and a team that has your back? Woodland Animal Hospital is growing and looking to add an enthusiastic Part-Time Associate Veterinarian to join our team two days a week. This is an excellent opportunity for an experienced DVM who wants to maintain a connection to clinical practice while enjoying a more flexible schedule. We're looking for someone who is confident practicing independently, while still having an experienced veterinary team supporting you throughout the day. Why Woodland Animal Hospital? Located in beautiful Carmel, Indiana, we're an AAHA-accredited practice with Fear Free Certified Professionals , and our medical philosophy centers around providing high-quality medicine while keeping the comfort and well-being of our patients at the forefront. Woodland offers a broad range of companion animal services, including wellness care, sick pet care, dentistry, surgery, radiography, diagnostics, ultrasound, nutrition and behavioral counseling. Compensation & Benefits Competitive compensation package that reflects your value and experience. Sign-on bonus available Dental and Vision insurance CE allowance annually Generous PTO + flexible scheduling Paid AVMA membership & liability insurance License reimbursement Freedom to choose your own tools, meds, and protocols Ready for a Part-Time Role That Fits Your Life? If you're an experienced DVM looking for meaningful patient relationships, clinical autonomy, and a supportive team , we'd love to hear from you. To learn more about the hospital and position please contact Joe Rusk at joe.rusk@lakefieldvet.com or apply at careers.lakefieldvet.com. #LI-MS1

Location: United States (Remote) Global Trade Compliance Manager Operations · Full-time · Remote (United States) · Hours 9am - 5pm EST About Nysonian: Nysonian is a consumer products company built around two brands: NOBL and Flo Pilates. We are building the next phase of the US-based business across physical products, software, and subscription experiences. NOBL is a functional travel brand built around a simple idea. Travel products should solve real problems, not just look better. Every feature is designed to eliminate friction from the travel experience, from seamless organization and easy access to tracking, connectivity, and protection. Flo Pilates brings studio-quality Pilates into the home through connected fitness hardware, content, and subscription experiences. Across both brands, we are building product ecosystems that deepen the customer relationship beyond the initial purchase and create recurring value over time. We are looking for builders who want ownership, speed, and the ability to shape products at scale. The Opportunity: Nysonian is hiring a Global Trade Compliance Manager to to own the company's end-to-end import/export compliance program across all origin and destination markets. This role is responsible for export documentation and compliance out of China, Vietnam, Thailand, and Cambodia, and for import/customs clearance compliance into the UAE, UK, EU, Australia, Canada, the USA, and Mexico — including HS/HTS classification, importer- of-record (or equivalent) obligations, and duty/tariff management in each jurisdiction, to a standard of 100% compliance. The role works closely with the China/Southeast Asia buying and sourcing teams, the Mexico manufacturing facility, customs brokers and freight forwarders in each market, and surety/bond providers, to keep shipments compliant and identify and resolve compliance risk before it becomes a liability. What You'll Own: Own end-to-end export documentation and compliance for shipments originating from China, Vietnam, Thailand, and Cambodia, including commercial invoices, packing lists, certificates of origin, and each origin country's export licensing/permit requirements. Own end-to-end import and customs clearance compliance for shipments into the UAE (Dubai Customs / GCC), UK (post-Brexit customs, EORI), EU (EU customs union, EORI), Australia (Australian Border Force), Canada (CBSA), the USA (CBP), and Mexico (SAT/Aduana). Manage and maintain HS/HTS code classifications across the full product catalog for NOBL Travel, Flo Pilates, and other Nysonian brands, mapping classifications correctly to each destination market's tariff schedule. Act as the primary point of contact for the customs clearance process in each market, coordinating directly with local customs brokers, freight forwarders, carriers, and customs authorities to resolve entry issues, holds, and requests for information. Manage Importer of Record (or equivalent, e.g., EORI holder) responsibilities and obligations in every import market, maintaining 100% compliance with each jurisdiction's customs regulations, bonded entry requirements, and recordkeeping standards. Monitor and manage customs surety bonds and guarantees where applicable (e.g., the U.S. bond program with Avalon Risk Management), including bond sufficiency, claims, and provider relationships, and lead resolution of any bond or liquidated damages matters. Lead the response to customs compliance actions and enforcement notices from any origin or destination authority (e.g., CBP liquidated damages notices, requests for information), coordinating internally and with outside counsel or brokers as needed. Identify and apply free trade agreement and preference programs to reduce duty exposure (e.g., USMCA, EU/UK- Vietnam FTA, ASEAN trade agreements, GCC arrangements, AANZFTA), and assess rules-of-origin risk — particularly for products manufactured in Mexico with components sourced from China, where dual-origin exposure exists. Monitor changes in tariff policy, trade agreements, and trade remedy actions (e.g., U.S. Section 301/232, EU CBAM, safeguard duties) across all markets, and translate them into landed-cost impact and mitigation recommendations for leadership. Partner with the China/Southeast Asia buying teams and the Mexico manufacturing facility to ensure sourcing, bill-of-materials, and country-of-origin documentation support accurate classification and compliant entries in every market. Build and maintain internal SOPs, recordkeeping systems, and training materials to standardize export and import compliance practices across all origin and destination countries. Prepare compliance reporting and risk summaries for leadership, flagging open exposures by country (e.g., open enforcement cases, bond claims) and recommended next steps. Skills & Qualifications: 5+ years of experience in international trade compliance spanning both export (Asia-origin) and import compliance across multiple destination markets, ideally supporting a consumer goods or e-commerce company. Hands-on experience with HS/HTS classification and customs entry processes across more than one jurisdiction (e.g., US, UK/EU, Canada, Australia, or GCC). Working knowledge of Importer of Record / EORI-equivalent obligations, customs bonds/guarantees, and customs enforcement actions (e.g., CBP liquidated damages, CF-28/CF-29 notices). Familiarity with rules of origin under USMCA and other applicable free trade agreements, including multi-country manufacturing scenarios (e.g., China-origin components assembled in Mexico). Experience working with customs brokers and freight forwarders across multiple countries, and coordinating export procedures with factories/sourcing offices in China, Vietnam, Thailand, or Cambodia. Strong attention to detail and comfort owning compliance outcomes independently across jurisdictions, with a track record of driving issues to resolution. Excellent written and verbal English communication skills, with the ability to coordinate across teams and time zones in Asia, the Middle East, Europe, and North America. Licensed Customs Broker (LCB), CCS/CBIP, or an equivalent international trade compliance certification is a plus but not required. Compensation We use a market-based approach to compensation. This role also offers performance-based rewards tied to business impact. Your starting compensation will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and company impact. Why You Will Love Working At Nysonian: Our Culture We are founder-led and operate with speed, direct communication, and clear accountability We believe in exceptional management and invest in tools and opportunities to connect with colleagues We build products that positively impact millions of people's lives AI is intentionally embedded in how we work, create, and scale, supporting innovation and impact Senior leaders are expected to create structure, make decisions, and stay close to execution Growth & Development Competitive pay and meaningful opportunities for performance-based advancement Direct ownership of strategy, systems, execution, and team buildout within your function Opportunity to build and scale a meaningful part of the business across two hardware-backed consumer brands Scope and compensation growth tied to performance, role expansion, and measurable business impact Benefits Health, Dental and Vision Insurance Life and Disability Insurance Paid Time Off Nine (9) paid holidays per year Complimentary Nobl & Flo products Nysonian is an equal opportunity employer.

Location: Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI Solutions Architect supporting a dedicated national security mission program, you will be the customer's trusted technical advisor — helping them understand the value of Claude and how to successfully integrate and deploy it into their technology stack. You'll combine deep technical and cyber domain expertise with customer-facing skills to architect LLM solutions for complex mission challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide the customer from technical discovery through successful deployment, much of it on-site in secure environments. Key responsibilities Serve as the dedicated technical advisor for one or more national security mission programs, from discovery and evaluation through deployment and adoption Support the customer building with Claude Code, the Claude API, and Claude for Enterprise Help develop evaluation frameworks to measure Claude's performance for mission-specific use cases Guide technical architecture decisions and integration into the customer's existing stack Coordinate internally across Sales, Product, and Engineering to drive customer success Create and deliver technical content from engineering deep dives to executive briefings Work primarily on-site with the customer's engineering and mission teams in secure government facilities, while maintaining close internal coordination and feedback with Anthropic’s Applied AI and Engineering teams Minimum qualifications Active TS/SCI clearance with Polygraph Prior experience working within US intelligence community agencies as a government civilian or cleared contractor Experience in technical customer-facing roles (solutions architecture, sales engineering, or similar) Exceptional ability to communicate technical concepts to diverse stakeholders, from engineers to executives Hands-on expertise in one or more of the following domains: offensive or defensive cyber operations (including vulnerability research, reverse engineering, and ICS/OT security), cryptography and cryptanalysis, intelligence analysis and ISR (all-source, SIGINT, GEOINT), mission and weapons systems (command and control, space, electronic warfare, autonomy), CBRN and nonproliferation, or accreditation of classified systems (RMF, ATO, cross-domain solutions). Preferred qualifications 5+ years in Solutions Architect, Sales Engineer, Technical Account Manager or equivalent roles Familiarity with common LLM frameworks and tools Background in artificial intelligence, machine learning, or data science Experience designing scalable cloud architectures and integrating with enterprise systems Experience deploying and operating software in air-gapped or classified environments The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Tbilisi, Georgia; Belgrade, Serbia; Nicosia, Cyprus Workplace: remote About the team We’re the AI & Automation Engineering team. Our mission is to make life easier for every internal team through automation, from standalone tools to Operational Hub, the unified platform we’re building to house all the automation tools each department needs. We work directly with Growth, Strategy & Planning, Client Service, Operations, and Data & Solutions (among others), so most of what you build is used by the people you work with every day. The team today is small: a Product Manager, a Full-Stack Engineer, and an AI Implementation Engineer. But the company is growing very fast, and so is our team. About the role We’re looking for a Middle AI Implementation Engineer who thrives at the intersection of automation, AI-assisted development, and practical tool-building. You’ll work alongside our existing engineers to design, build, and maintain the internal tools and automated workflows that power day-to-day operations across the company. The work is hands-on and fast-moving: you’ll turn business needs into working solutions using n8n, LLM APIs (Claude, OpenAI), and AI-assisted development tools like Replit and Claude Code. If you build with AI, want real ownership over features, and want to work closely with the people who use what you build, this is the role for you. Responsibilities Design, build, and maintain n8n workflows that automate internal business processes. Troubleshoot and improve existing automations to keep them reliable, efficient, and easy to maintain. Develop and launch lightweight internal tools using AI-assisted development tools such as Claude Code and Replit. Integrate systems and services through APIs and webhooks, including LLM APIs such as Claude and OpenAI. Work directly with internal stakeholders to understand their needs and translate them into practical solutions. Test tools and workflows, gather user feedback, and deliver improvements as business needs evolve. Contribute new features to the team’s Operational Hub and collaborate with engineers on technical decisions. Take ownership of assigned projects, from requirements gathering through launch and ongoing support. 2+ years of professional experience in QA (preferred), analytics, or project management. Hands-on programming skills are also welcome. Hands-on experience building, debugging, and maintaining workflows in n8n or Make.com. Ability to build and ship functional applications using AI-assisted development tools such as Claude Code, Replit, Cursor, or similar. A working understanding of APIs, webhooks, and data flows, with the ability to troubleshoot integration issues. Basic proficiency in SQL, ideally BigQuery, including reading and working with structured data. Strong communication and stakeholder management skills, with the ability to collaborate with technical and non-technical teams. Ability to understand business processes, clarify requirements, and translate them into practical tools and automations. A proactive approach to problem-solving, willingness to learn, and ownership of your work. Nice to have Experience with Google APIs, particularly Sheets, Drive, and Calendar. Familiarity with Clerk or similar authentication and authorization tools. Knowledge of React or basic frontend development. Experience integrating Slack, Asana, HubSpot, or similar business tools. Experience in AdTech or MarTech. Portfolio If we move forward after the initial HR interview, we’ll ask you to share a portfolio of tools or automations you’ve delivered. Please highlight their measurable business impact and explain your personal contribution to each project.

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE TECH, MEDIA & TELECOM TEAM - We work with some of the world's most influential and recognizable companies, from global telecommunications providers and leading media brands to technology platforms that power businesses worldwide. - We build agents for the moments that matter, helping our customers rise to the occasion when service disruptions, major product launches, or global events like the World Cup https://www.linkedin.com/posts/claybavor_at-sierra-we-are-very-proud-to-have-partnered-activity-7491200203899760641-I27d?utm_source=share&utm_medium=member_desktop&rcm=ACoAABYjELMBZfjrg-wrv53M1tVXGe93FF3eTww drive millions of customer interactions. - We bring Sierra’s Horizon https://sierra.ai/product/horizon vision to TMT by building agents that transform the entire customer relationship: - Telecommunications: Turn one of the most frustrating customer experiences into one of the most personal, with agents that understand each subscriber, optimize their plan and savings, anticipate opportunities to add value, and earn their loyalty over time. - Media: Turn every subscription into an ongoing, personalized relationship, with agents that help each subscriber get the most from their experience through the right content, offer, plan, and support from their free trial through retention. - Technology: Bring the white-glove customer experience traditionally reserved for the largest enterprise accounts to every customer, helping them adopt the product, discover new ways to get value, expand their usage, and successfully renew. WHAT YOU’LL DO - Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. - Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. - Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency. - Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. EXAMPLE PROJECTS These are some examples of projects that engineers on our team have worked on recently: - Create agents that pursue goals over weeks and months, reasoning about when to reach out, which channel to use, and what next action will move a customer relationship forward. - Develop personalization and experimentation systems powered by Sierra's Context Engine https://sierra.ai/blog/context-engine that combine customer data, behavior, prior conversations, and real-time context to determine the right offer or experience, then learn from every interaction and experiment to autonomously improve personalization over time. - Design conversational discovery agents that reason across huge content catalogs and rich subscriber context, using interests, history, entitlements, and the moment at hand to help someone quickly find something they'll actually want to watch, read, or listen to. - Build agents that troubleshoot deeply integrated telecommunications and connected-device experiences, reasoning across account, billing, network, and device systems to diagnose issues and take the actions needed to resolve them. - Experiment with new voice experiences and Voice Personas https://sierra.ai/blog/introducing-voice-personas tailored to each brand, customer, and moment, bringing the right empathy, energy, and conversational style to everything from navigating a frustrating telecom billing issue to helping someone discover their next favorite show or find the plan that's right for them. WHAT YOU'LL BRING - Experience building and scaling end-to-end production systems. - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments. - A builder and tinkerer's mindset with high agency - you find creative ways to overcome obstacles and ship. - Comfort working directly with customers to understand their needs and solve real-world problems. - Excellent communication skills—clear, direct, and persuasive across technical and non-technical audiences. - Excitement in the Tech, Media & Telecom space and a care for helping some of the world’s top brands continue to build brand loyalty with their customers. EVEN BETTER... - Experience building or deploying AI/LLM systems in production - Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed - Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go - Previous roles where you interfaced with customers or led technical projects with external stakeholders OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.