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Location: AU: Sydney (45 Clarence St); AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid THE ROLE AND ITS IMPACT As a Data Engineer in our G&A Data & Analytics team, you will build the data products, pipelines and semantic layers that power decision making across Finance, People Experience and Legal. You will design and maintain a governed semantic layer in Snowflake, translating business concepts into metrics, dimensions and definitions that make data easy to trust and simple to use, while also helping shape the AI and agentic capabilities that give people conversational access to that data. The numbers you help produce matter well beyond the team, feeding financial performance insights, workforce reporting and figures that are shared with our Executive Leadership Team, our Board and, ultimately, the market. It is a role with real visibility and real stakes, where the quality and reliability of your work directly shapes how confidently Xero can report on its own performance.   THE TEAM AND HOW THEY CONNECT The G&A Data & Analytics team exists to empower Xeros across Finance, People Experience (PX) and other G&A functions with trusted data, analytics and AI‑driven insights that improve performance outcomes. We design, build and maintain data products and analytical capabilities that underpin Xero’s internal decision‑making – from financial performance and workforce health through to operational efficiency and strategic trade‑offs.   THE TEAM IS CURRENTLY WORKING ON - Snowflake and dbt as the backbone of our data platform, alongside an emerging agentic and AI layer built on reusable skills and MCP integrations - Bringing new revenue streams from recent acquisitions into a single, consolidated model so we can report Xero's performance consistently - Building and testing dbt models and snapshots that support our monthly financial and workforce reporting cycles - Extending our semantic layer so more of G&A's reporting can be answered conversationally, with the right guardrails in place   WHERE AND HOW YOU CAN WORK We support a flexible working model that empowers you to balance your professional and personal life. You will have the option to work in a hybrid capacity, combining the focus of remote work with the collaboration of our office spaces and team boost days to foster connection and alignment.   HERE ARE SOME OF THE THINGS WE'RE LOOKING FOR, FOR THIS ROLE - You will bring hands-on experience building SQL data models, with dbt as your tool of choice for testing, documentation and snapshotting - Validating your own outputs comes naturally to you, and you are comfortable standing behind the numbers a model produces - Curiosity about how AI can make data more accessible will serve you well here, as you help shape the conversational and agentic layer we are building in G&A - You will Go Together with Finance, Legal and People teams, translating their questions into data products that are genuinely trusted and easy to use - Acting as a senior voice in the team comes naturally, whether that is sharing patterns, mentoring others or helping set a consistent standard for how we build - You will Go Further by looking past the obvious answer to find a simpler, more reliable way to model or validate a piece of G&A's data   Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Run AWS infrastructure as code, with AI in the loop. Manage AWS infrastructure through Terraform using our pull-request-based GitOps workflow, and resolve configuration drift across regions.

Location: Los Angeles, USA Workplace: Hybrid Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. About the role: We’re looking for a Forward Deployed Creative to sit at the intersection of generative AI, cinematic production, and enterprise customers. You’ll turn customer briefs into exceptional demos and pilots, build production-ready AI workflows, and work directly with creative teams to bring Higgsfield into real-world production. The creative bar is extremely high. You understand why a shot works — from lensing, lighting, and composition to camera movement, pacing, and edit rhythm — and know how to reliably achieve commercial-quality results with generative models. What you'll do: - Own the technical and creative execution of enterprise demos, pilots, and deployments from brief through final delivery. - Direct and produce cinematic AI content, including shot design, generation, consistency, editing, and delivery. - Build repeatable production workflows using generative models, prompting systems, APIs, MCP, automation, and agentic workflows. - Reverse-engineer reference ads, film looks, and visual styles into reproducible Higgsfield workflows. - Lead live demos, workshops, and hands-on training for customer creative teams. - Partner directly with CMOs, creative directors, production leaders, and technical stakeholders. - Bring customer insights, product gaps, and emerging use cases back to Product, Engineering, and Research. - Stay at the forefront of image and video generation and continuously push what’s possible with Higgsfield. Requirements: - Exceptional portfolio of cinematic AI work at commercial quality — portfolio first. - 5+ years of experience in film, advertising, commercial, or creative production, including 2+ years hands-on with generative AI. - Deep fluency across image and video models, consistency techniques, VFX, motion, and AI production workflows. - Strong cinematic fundamentals across shot design, lighting, composition, storyboarding, camera movement, and editing. - Experience delivering customer-facing pilots, PoCs, or productions from brief through final output. - Comfortable presenting to executives and running live demos. - Ability to translate complex AI workflows for non-technical creative teams. - High agency, strong ownership, and the ability to move quickly in a startup environment. - Excellent communication skills. Compensation & Benefits: - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - Base Salary: The anticipated salary range for this role is $125,000 - $200,000, depending on experience, skills, scope, and location. - Bonus: This role is Bonus eligible and may participate in the Company's discretionary annual bonus program. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield AI’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks. - The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is required to be based in Los Angeles for team meetings, planning sessions, company events, and other in-person collaboration. Team members are expected to be available during agreed working hours and maintain sufficient overlap with the relevant team’s time zone. While we work remotely, we value active communication, responsiveness, and close collaboration across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

Location: Remote Who we are Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase. With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once. Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love. If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us. Working hours 🌎 While we are an all-remote company and hire almost anywhere in the world, we do require successful candidates to be located in the United States. Preferred location: USA Why this job is exciting As a Strategic Account Director, you’ll help the world’s largest engineering organizations give their developers and AI coding agents the context they need to work across massive codebases. This role blends technical depth, strategic selling, and product passion. It's perfect for someone who thrives in a fast-evolving environment and has proven success in managing high-value customer relationships, structuring strategic deals, and penetrating into key target accounts. Here's what we're thinking: 📅 Within one month, you will… Begin 1:1s with your manager, align on your 30-60-90 plan, and shadow discovery and closing calls. Build your territory plan to penetrate net-new logo accounts with an emphasis on targeted outbound while also expanding and taking ownership of key existing customers. Meet key partners in Solution Engineering, Customer Success, Product, Legal and Engineering teams - they will be key relationships for you throughout your deal cycle. 📅 Within three months, you will… Be a product expert, perfect your storytelling of use cases, demonstrate the product and convey real-world success stories of customers. Design account plans for key accounts focused on expansion and create compelling strategies to align Sourcegraph’s value to your customers' goals, needs, and objectives. Identify champions, influencers, and key stakeholders in the decision process, and build trusted advisor relationships with them to help bring more engineering organizations onto the Sourcegraph platform. Leverage a consistent sales process to build and advance a pipeline of complex, high-value opportunities, accurately capturing deal progress and weekly forecast updates. 📅 Within six months, you will… Build trusted relationships with developers, engineering leaders, and execs. Identify and nurture champions, multi-thread with economic buyers, and start to close strategic opportunities. Collaborate cross-functionally with Solution & Field Engineering, Product, Legal and Engineering to successfully drive technically unique or complex Enterprise deals forward to completion. Actively contribute product feedback to the team and influence our roadmap with insights from the field. Handle the full sales cycle to consistently meet and exceed pipeline and revenue objectives. 📅 Within one year, you will… Be a top-performing Strategic Account Director, exceeding pipeline, expansion, and revenue goals. Lead enablement for future team members by defining best practices for navigating high-value enterprise sales in an AI-first market Be seen as a thought partner to product and execs as we scale Sourcegraph across our highest-value, most strategic customers. About you You are results-oriented and motivated, with a rare combination of entrepreneurial drive, technical curiosity, and executive presence. You are laser-focused on generating new greenfield opportunities and driving expansion within the world’s most innovative enterprises with 5,000+ developers. You are excited about the future of AI in software development and want to be part of building that future. You thrive in ambiguity, adapt quickly, and are motivated by ownership, results, and impact. Your skill-set: 10+ years of B2B SaaS sales experience Proven ability to own customer relationships end-to-end, serving as the primary point of contact for engagement, account strategy, and growth. Methodical approach to executing complex deal strategies Proven success selling to developers, engineering managers, and VPs of Engineering Comfortable navigating a top-down strategic motion Excellent storytelling and discovery skills; you know how to build trust and uncover pain A strong understanding of developer tools, DevOps workflows, and AI trends Uses account research and customer usage data to prioritize accounts and identify expansion opportunities Demonstrated success leading complex, multi-stakeholder deals Expertise with security, licensing, and compliance requirements Confident and curious: you learn the product, demo it well, and aren’t afraid to go off-script High agency: you build rather than wait, take ownership of your business, and thrive in a fast-moving, competitive space Bonus points if you have: Experience at developer-first companies Sold a consumption-based or usage-based product Technical background or deep curiosity about agentic AI and coding workflows Level 📊 This job is an IC6. You can read more about our job leveling philosophy in our Handbook. Compensation 💸 We pay you an above-average salary because we want to hire the best people who are fully focused on helping Sourcegraph succeed, not worried about paying bills. As an open and transparent company that values competitive compensation , our compensation ranges are visible to every single Sourcegraph teammate. To determine your salary, we use a number of market and data-driven salary sources, along with your location zone, and target the high-end of the range to ensure we’re always paying above market regardless of where you live in the world. 💰The target compensation for this role is $180,000 USD base + $180,000 USD variable ($360,000 USD on-target-earnings). 📈 In addition to our cash compensation, we offer equity (because when we succeed as a company, we want you to succeed, too) and generous perks & benefits . Interview process Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all! We expect the interview process to take 4.5 hours in total. 👋 Introduction Stage - we have initial conversations to get to know you better… [30 min] Recruiter Screen [30 min] Hiring Manager screen with Global Head of Sales 🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners… [45 min] Peer with an Account Executive & Solutions Engineer [60 min] Resume Deep Dive [45 min] Sales Presentation with Regional Sales Director, Global Head of Sales, CRO [30 min] Values 🎉 Final Interview Stage - we move you to our final round, where you gain a better understanding of our business and values holistically [30 min] Leadership with CRO We check references and conduct your background check Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process. Learn more about us You can learn more about what it is like to work at Sourcegraph by reading our handbook . We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our culture , competitive compensation and benefits here. Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds. Sourcegraph participates in E-Verify for U.S. Employees.

Location: United States (Remote) Workplace: Remote About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. As a Solutions Engineer, you will help the sales team drive revenue growth by evangelizing our technology via demos and technical discussions. You will get to collaborate with infrastructure engineering and security teams at the most sophisticated technology companies in the world. Most importantly, you will help these companies solve problems and get exposed to the latest ideas in technology. You will partner with account executives, other solutions engineers, and other teams to understand customer challenges, design secure and scalable solutions, and guide prospects through technical evaluations and proof-of-value engagements. You will support both mid-market and enterprise customers. While this role is fully remote, candidates must be based in the Pacific or Mountain time zones to ensure alignment with our customers. You have experience working with AI technologies and infrastructure (LLMs, MCP, vector databases, AI tooling), and familiarity with traditional infrastructure networking and security (Linux/Unix, Windows, VPNs, bastion hosts, etc) and modern cloud-native technologies (cloud compute, containers, IaC, etc). What You'll Do - Partner with Account Executives and Account Managers to expand technical discovery, and map Teleport’s capabilities to customer initiatives. - Architect and deliver compelling demos and proof-of-concepts that showcase Teleport’s differentiation with Zero Trust principles, handling of human and non-human identities, identity governance, and identity security. - Act as the trusted advisor to engineering, platform engineering, DevSecOps, and security leaders. - Advise on protecting sensitive datasets and model endpoints with Teleport’s identity-based controls. - Position Teleport as a solution to eliminate API keys and static tokens in machine pipelines. - Support customers exploring AI/LLM use cases, including secure infrastructure for training and inference workloads. - Provide structured feedback to Product and Engineering on feature gaps and market needs. - Collaborate with Marketing on thought leadership around identity, human, non-human, and AI security. - Support channel and technology partners with technical enablement. - Help across various go-to-market activities, including marketing collateral, product positioning, customer interviews, sales cycle optimizations, traveling to conferences, brand evangelism, attending meetups, etc. - Listen deeply and perceive feedback as an opportunity to improve. What You'll Bring - 3+ years of experience in pre-sales engineering, solutions architecture, DevSecOps or a highly technical customer-facing role. - Experience with using/configuring/debugging Linux machines and network issues. - Strong understanding and experience with Kubernetes, including hands-on troubleshooting. - Strong knowledge of at least one cloud computing platform - Strong knowledge of DevSecOps principles, CI/CD pipelines, and securing infrastructure at scale (e.g., source control, code reviews, unit testing, agile principles). - Advanced understanding of identity security and modern Zero Trust security approaches. - Proven ability to develop scripts and automation using Linux shell, Go, and Infrastructure as Code tools - Strong understanding of system architecture, provisioning, and administration - Familiarity with AI/LLM infrastructure (GPU clusters, data governance, inference workloads, ML pipelines) and associated security requirements. - Strong problem-solving and analytical skills, with the ability to troubleshoot complex issues - Ability to engage both technical and executive stakeholders with credibility and clarity. - Strong presentation, demo, and white-boarding skills. Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/

Location: United States (Remote) Workplace: Remote About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. As a Staff Solutions Engineer, you will help the sales team drive revenue growth by evangelizing our technology via demos and technical discussions. You will get to collaborate with infrastructure engineering and security teams at the most sophisticated technology companies in the world. Most importantly, you will help these companies solve problems and get exposed to the latest ideas in technology. You will partner with account executives, other solutions engineers, and other teams to understand customer challenges, design secure and scalable solutions, and guide prospects through technical evaluations and proof-of-value engagements. You will support our most strategic accounts. While this role is fully remote, candidates must be based in the Pacific or Mountain time zones to ensure alignment with our customers. You have experience working with AI technologies and infrastructure (LLMs, MCP, vector databases, AI tooling), and familiarity with traditional infrastructure networking and security (Linux/Unix, Windows, VPNs, bastion hosts, etc) and modern cloud-native technologies (cloud compute, containers, IaC, etc). What You'll Do - Partner with Account Executives and Account Managers to expand technical discovery, and map Teleport’s capabilities to customer initiatives. - Architect and deliver compelling demos and proof-of-concepts that showcase Teleport’s differentiation with Zero Trust principles, handling of human and non-human identities, identity governance, and identity security. - Act as the trusted advisor to engineering, platform engineering, DevSecOps, and security leaders. - Advise on protecting sensitive datasets and model endpoints with Teleport’s identity-based controls. - Position Teleport as a solution to eliminate API keys and static tokens in machine pipelines. - Support customers exploring AI/LLM use cases, including secure infrastructure for training and inference workloads. - Provide structured feedback to Product and Engineering on feature gaps and market needs. - Collaborate with Marketing on thought leadership around identity, human, non-human, and AI security. - Support channel and technology partners with technical enablement. - Help across various go-to-market activities, including marketing collateral, product positioning, customer interviews, sales cycle optimizations, traveling to conferences, brand evangelism, attending meetups, etc. - Listen deeply and perceive feedback as an opportunity to improve. - Demonstrate a high level of empathy, resilience, and humility. What You'll Bring - 8+ years of experience in pre-sales engineering, solutions architecture, DevSecOps or a highly technical customer-facing role. - Experience with using/configuring/debugging Linux machines and network issues. - Strong understanding and experience with Kubernetes, including hands-on troubleshooting. - Strong knowledge of at least one cloud computing platform - Strong knowledge of DevSecOps principles, CI/CD pipelines, and securing infrastructure at scale (e.g., source control, code reviews, unit testing, agile principles). - Advanced understanding of identity security and modern Zero Trust security approaches. - Proven ability to develop scripts and automation using Linux shell, Go, and Infrastructure as Code tools - Strong understanding of system architecture, provisioning, and administration - Familiarity with AI/LLM infrastructure (GPU clusters, data governance, inference workloads, ML pipelines) and associated security requirements. - Strong problem-solving and analytical skills, with the ability to troubleshoot complex issues - Ability to engage both technical and executive stakeholders with credibility and clarity. - Strong presentation, demo, and white-boarding skills. Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/

Location: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE As AI agents redefine software development, Docker is at the center of that shift, providing the local and cloud sandboxed environments that make interactive and autonomous agentic workflows trustworthy by default. At the heart of our trust model is the fact that user credentials and other sensitive secrets are injected at the sandbox layer and never exposed to an agent. An agent can never leak secrets it never sees. The Secrets team builds the software that makes that possible, from easy-to-use SDKs to secure cloud services to high-performance network proxies. We operate at the intersection of the developer experience, enterprise governance, and security – delivering core security features that make Docker sandboxes the best way to run agents and other workloads safely. As a Staff Software Engineer on the Secrets team, you’ll design and build core security systems that power Docker’s agentic platform and AI governance products. Your work will focus on creating scalable, reliable, and secure software that enables developers to safely run agentic workloads while allowing administrators to confidently manage their organization’s security posture. The successful candidate is a technical, product-minded engineer with deep experience building secure software and scale-out cloud services and a track record of shipping critical infrastructure. They think naturally about isolation and security boundaries, understand the tradeoffs involved in running untrusted or semi-trusted workloads safely, and can reason confidently about a system that spans multiple surface areas. If you thrive on solving security and usability challenges, are enthusiastic about agentic development but conscious of the risks it entails, and want to help shape the future of Docker’s platform, we’d love to hear from you. Please note: this role is currently prioritizing candidates currently located in the Western time zone (US or Canada). _______________________________________________________________________ RESPONSIBILITIES - Design, develop, and lead improvements to the secrets management and credential injection systems. - Investigate and resolve security, correctness, performance, and stability issues across cloud, macOS, Windows, and Linux. - Collaborate with peers, Product, and adjacent teams to evolve the architecture as requirements grow. - Mentor engineers on the team and set the bar in design reviews and code reviews. - Engage with the open source and agentic development community around sandboxing, MCP, and related ecosystems. - Participate in on-call rotations and respond to critical stability issues affecting users. - Document your work clearly and share knowledge with the rest of the team. _______________________________________________________________________ QUALIFICATIONS REQUIRED - 8+ years of software engineering experience, with demonstrated technical leadership on production systems at scale. - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience - Experience building developer tools, desktop applications, or runtime infrastructure used directly by developers. - Familiarity with the agentic software development ecosystem: how coding agents work and how tools like Claude Code, Codex, or similar agents interact with their environment. - Ability to reason about isolation and security boundaries: what a sandbox should and shouldn't expose, and how to make safe defaults obvious to users. - Experience driving architecture and technical strategy across multiple engineers or teams. - Strong written and verbal communication skills. - Comfortable working with a high degree of autonomy in a remote-first environment. PREFERRED - Strong proficiency in Go, Rust, and/or Java - Experience with cryptographic key management systems and techniques (key wrapping, HSMs, cloud KMSes, etc.) - Familiarity with best practices for protecting credentials and secret material at-rest and in transit - Understanding of networking, TLS, HTTP, and the like. - Understanding of one or more OS-specific credential management capabilities. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $170,350 – $275,550 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Germany; United Kingdom; Spain; Italy; The Netherlands Workplace: Remote ClickHouse is the fastest-growing database in the OLAP space, and AI is reshaping how developers and enterprises interact with their data. From ClickHouse Agents and AI Functions to the Remote MCP Server, LibreChat, and Langfuse, AI/ML capabilities are rapidly becoming a core pillar of the ClickHouse Cloud experience and a key growth vector for the platform. We are looking for a Senior Product Manager to own core areas of our agentic analytics experience. You will work at the intersection of large language models, developer tooling, and high-performance analytics, shaping how organizations let agents query, reason over, and act on their data. This is a high-ownership role: you will drive products from discovery to launch with autonomy expanding as fast as you build confidence and context. WHAT WILL YOU DO? - Roadmap Ownership: Own the roadmap for key surfaces of the agentic analytics portfolio, from discovery through launch and iteration, and ensure they are best-in-class in the analytics database space. - Customer Discovery: Talk to users constantly — developers, data engineers, and platform teams deploying agents against production data — and turn their feedback into crisp priorities. - Product Quality: Define and prioritize features that improve agent accuracy, latency, cost, and trust. Instrument the product with evals and observability (Langfuse) so that quality is measured. - Market & Competitive Intelligence: Track the competitive landscape and translate it into positioning, differentiation, and gaps to close. - Go-to-Market Partnership: Partner with marketing, sales, and developer relations on pricing, packaging, launch content, and field enablement. - Communication: Write clearly and often, including public-facing content that explains what we built and why. WHAT YOU BRING ALONG: - 3+ years of product management experience in developer tools, data infrastructure, or ML/AI products - Hands-on familiarity with LLMs and agentic workflows: you have built or shipped something with them - Comfort with SQL and analytical databases; you can query your own product data without waiting for someone else - Strong written communication and the ability to drive alignment across engineering, design, and go-to-market - You have a high level of ownership and a bias toward shipping: you scope pragmatically, cut ruthlessly, and iterate in public - You thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders NICE TO HAVE - Experience with LLM observability, evals, or inference infrastructure - Experience pricing usage-based or token-based products - Prior work on open source products or with open source communities - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: NAMER and LatAm ClickHouse is the fastest-growing database in the OLAP space, and AI is reshaping how developers and enterprises interact with their data. From ClickHouse Agents and AI Functions to the Remote MCP Server, LibreChat, and Langfuse, AI/ML capabilities are rapidly becoming a core pillar of the ClickHouse Cloud experience and a key growth vector for the platform. We are looking for a Senior Product Manager to own core areas of our agentic analytics experience. You will work at the intersection of large language models, developer tooling, and high-performance analytics, shaping how organizations let agents query, reason over, and act on their data. This is a high-ownership role: you will drive products from discovery to launch with autonomy expanding as fast as you build confidence and context. WHAT WILL YOU DO? - Roadmap Ownership: Own the roadmap for key surfaces of the agentic analytics portfolio, from discovery through launch and iteration, and ensure they are best-in-class in the analytics database space. - Customer Discovery: Talk to users constantly — developers, data engineers, and platform teams deploying agents against production data — and turn their feedback into crisp priorities. - Product Quality: Define and prioritize features that improve agent accuracy, latency, cost, and trust. Instrument the product with evals and observability (Langfuse) so that quality is measured. - Market & Competitive Intelligence: Track the competitive landscape and translate it into positioning, differentiation, and gaps to close. - Go-to-Market Partnership: Partner with marketing, sales, and developer relations on pricing, packaging, launch content, and field enablement. - Communication: Write clearly and often, including public-facing content that explains what we built and why. WHAT YOU BRING ALONG: - 3+ years of product management experience in developer tools, data infrastructure, or ML/AI products - Hands-on familiarity with LLMs and agentic workflows: you have built or shipped something with them - Comfort with SQL and analytical databases; you can query your own product data without waiting for someone else - Strong written communication and the ability to drive alignment across engineering, design, and go-to-market - You have a high level of ownership and a bias toward shipping: you scope pragmatically, cut ruthlessly, and iterate in public - You thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders NICE TO HAVE - Experience with LLM observability, evals, or inference infrastructure - Experience pricing usage-based or token-based products - Prior work on open source products or with open source communities - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Москва, гибрид или удалённая работа, RU; Россия О команде Мы — команда Automated Moderation в юните «Автомодерация» направления Trust & Safety. Развиваем инструменты доверия и безопасности на платформе: помогаем проверять контент и снижать риск появления материалов, которые нарушают правила Авито. Мы разрабатываем и поддерживаем ML-систему проверки объявлений: анализируем текст, фото и параметры, автоматизируем проверки и снижаем нагрузку на ручную модерацию. Основной проект — развитие LLM-модерации, около 80% рабочего времени. Система уже работает в продакшене: классические модели находят потенциальные нарушения, а LLM проверяют их по правилам Авито. Мы улучшаем промпты, дообучаем LLM- и VLM-модели, автоматизируем эксперименты с помощью AI-агентов. Ищем DS-инженера полного цикла, который будет вести решения от постановки задачи и работы с данными до инференса, мониторинга и оценки влияния на продукт. Помимо основного проекта, будут задачи автомодерации с текстом, изображениями и видео. Какие задачи вас ждут: развивать LLM-проверки: переводить регламенты модерации в инструкции для моделей, разбирать ошибки и улучшать качество решений; строить воспроизводимые эксперименты: сравнивать модели, промпты, состав входных данных и пороги принятия решений; применять и развивать автоматическую оптимизацию промптов, дообучать модели и LoRA-адаптеры там, где это оправдано качеством и стоимостью; готовить датасеты: организовывать сбор и разметку, проверять качество данных и репрезентативность выборок; встраивать решения в пайплайны автомодерации и обеспечивать стабильную работу в продакшене: учитывать качество, задержки, вычислительную стоимость и риски ошибок; настраивать мониторинг качества и деградаций, алерты и регулярные итерации улучшений; оценивать влияние решений на продуктовые и бизнес-метрики. Мы ждём, что вы: умеете проводить полный цикл ML-разработки: от работы с данными и моделью до продакшена, мониторинга и проверки влияния с помощью A/B-тестов или эквивалентных подходов; имеете большой опыт в NLP или значимый опыт вывода и сопровождения моделей в продакшене; работали с LLM в прикладных задачах и умеете проверять качество решений на данных; дообучали LLM и VLM, работали с LoRA, PEFT и оптимизацией инференса, например с vLLM; уверенно владеете Python и DS-стеком: NumPy, pandas, scikit-learn, CatBoost или аналогами, умеете работать с DL-фреймворками, например PyTorch; понимаете, как выбирать методы под задачу и аргументировать компромиссы между качеством, стоимостью, скоростью и рисками; умеете оценивать качество моделей при запуске и отслеживать его изменение во времени: дрейф, деградации, проблемы данных; пишете SQL-запросы на уровне, достаточном для анализа данных и диагностики качества; читаете англоязычную техническую литературу. Будет здорово, если вы: имеете опыт в модерации, Trust & Safety или антифроде; разрабатывали инструменты для AI-агентов, MCP-серверы или автоматизировали с их помощью ML-процессы; знакомы с практиками MLOps: Kubeflow, K8s, feature store, MLflow; настраивали мониторинг и алерты в Grafana, участвовали в A/B-тестах и канареечных релизах; использовали LLM в прикладных задачах; работали с CV или мультимодальными задачами, например VLM. Работа у нас — это: масштабный инженерный процесс, где вы можете участвовать во всех этапах работы над ML-решением; интересные развивающие задачи и влияние на продуктовые и бизнес-метрики; культура взаимопомощи и обмена опытом; прозрачный карьерный трек и инструменты для роста: семинары, менторство, митапы; расширенная забота о здоровье: ДМС, страхование жизни, онкострахование; сервис психологической поддержки, а также финансовые, юридические и ЗОЖ-консультации для вас и ваших близких; корпоративный спорт: групповые тренировки, велбиинг-приложение; спецпредложения от партнёров и скидки на сервисы Авито: бронирование жилья, услуги продвижения, ипотечное страхование; компенсация питания.

Location: Санкт-Петербург SberData отвечает за развитие платформы для работы с данными в Сбере. У нас свыше 230 Петабайт данных, около сотни продуктов и сервисов для клиентов. Мы создаем собственные сборки платформ в рамках вендорозамещения и активно сотрудничаем со всеми блоками Сбера для решения их бизнес-задач: наши пользователи сделали уже свыше 6500 витрин. SberData внедряет лучшие практики работы с данными, снижает стоимость хранения данных, повышает скорость получения данных, внедряет AI-технологии. Нашими решениями пользуются свыше 30 тыс человек. Технологический стек: Python, pydantic, FastMCP; RAG/поиск: ChromaDB, эмбеддинги, rank-bm25; наблюдаемость: OpenSearch (DSL), Grafana API (PromQL); платформа как объект управления: Kafka, Flink, Spark, HDFS, OpenAPI-спеки; инфраструктура: Git (Bitbucket), Jenkins, Nexus, Vault, k8s. Обязанности ### Задачи * разработка MCP-инструментов: Python/FastMCP * развитие RAG-контура базы знаний: индексация, гибридный поиск (dense-эмбеддинги + BM25), оценка качества, reranker * аналитика данных платформы * код-ревью, документирование решений, развитие тестов (pytest). Требования ### Требования * высшее образование: техническое/математическое * опыт разработки на Python не менее 1,5 лет * базовое понимание области data engineering: как устроены ETL/репликация данных, потоковые пайплайны * SQL — уверенный уровень * Git, CI/CD (Jenkins или аналог) * Linux/bash * английский — чтение технической документации. ### Будет плюсом * опыт построения RAG: векторные БД, эмбеддинги, чанкинг, оценка качества поиска (hit rate/recall/MRR) * навыки работы с генеративными AI-моделями, опыт создания AI-агентов (MCP, LangChain) * знакомство с Kafka, Flink/Spark, Hadoop/HDFS * опыт интеграций по REST/OpenAPI * опыт Java/Scala. Условия ### **Мы предлагаем** * комфортный современный офис в г. Санкт-Петербург ул Уральская, 1литерВ * возможность выбрать удобный график – офис/гибрид * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Intellias Meet your recruiter Kateryna Zemetska kateryna.zemetska@intellias.com https://www.linkedin.com... Vacancy details Data Engineering Data Engineer Senior Bulgaria, Croatia, Poland, Portugal, Spain, Ukraine Remote APPLY NOW REFER A FRIEND We are hiring a Senior Data Engineer to join an Intellias delivery team on a large-scale enterprise data platform migration programme for a financial services client. This is a hands-on senior role. You will write production code every week, own architectural decisions on your workstream, and mentor a paired mid-level engineer. What project we have for you Our client is an independent, active global asset manager with over R3 trillion in assets under management. They are executing a firm-wide data strategy to govern, manage and engineer data as a product across more than 70 business-owned sub-domains. As part of this, they are migrating to Databricks as the foundational layer of their Enterprise Data Platform, adopting a lakehouse architecture built on open formats, declarative pipelines and Unity Catalog. What you will do Perform the end-to-end delivery of one or more priority data domains on Azure Databricks. Design and build medallion (Bronze / Silver / Gold) pipelines using Lakeflow Declarative Pipelines, Auto Loader, Structured Streaming and Delta Lake with Liquid Clustering. Register curated data products in Unity Catalog with the correct tags, masks, row filters, lineage and access policies. Implement data quality gates at the Silver-to-Gold boundary, and refine rules with domain stewards. Package and deploy work using Databricks Asset Bundles through Azure DevOps CI/CD Write automated tests and documentation Work at AI-as-Collaborator level today with a path to AI-as-Orchestrator, using Claude Code, Databricks Assistant, GitHub Copilot and MCP-connected agent tooling to accelerate the recurring parts of pipeline build, test and deploy. What you need for this 6+ years of data engineering experience, with at least the last three years on Databricks in production. Deep hands-on experience with medallion / Lakehouse architecture, Delta Lake, Unity Catalog, Lakeflow Declarative Pipelines and Databricks Asset Bundles. Strong python, PySpark and SQL, comfortable diagnosing performance issues on large workloads through Spark UI and Photon. Real production experience with streaming ingestion (Kafka Structured Streaming, Auto Loader) and CDC patterns. Experience implementing data quality at scale (Great Expectations or equivalent), plus lineage, cataloguing and access control. CI/CD on data platforms through Azure DevOps or GitHub Actions, with infrastructure as code (Terraform or equivalent). Fluent working English. Nice to have Active Databricks certifications Prior exposure to investment management platforms, asset management operations data, market data feeds from major providers CDMP DAMA certification or equivalent data governance credential. Experience applying agentic engineering tooling to production data engineering (not just personal productivity), including MCP-connected Databricks or cloud servers. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Databricks

Location: Milan Build with us Businesses deserve better from finance. Less friction, more freedom. Since 2004, Mollie has been on a mission to make payments and money management effortless for every business in Europe. Today, more than 250,000 companies trust our all-in-one platform to get paid, manage money and grow on their terms. Simple, scalable and built with real businesses in mind. We’re one of Europe’s fastest-growing fintechs, with 900+ Mollies across 12+ locations. Our people make this growth possible. We move fast, build with purpose and care deeply about our customers. Whether you're solving problems, building market-leading products or exploring how AI can make work smarter, you’ll have the freedom to create and the trust to deliver. If you’re ready to grow, shape the future of fintech and join an ambitious, high-performing team, this is the place for you. Your impact The Infrastructure Governance team within the developer enablement domain sits at the heart of Mollie's infrastructure. We own and maintain Terraform as our IaC system and play a crucial role in ensuring our infrastructure is highly reliable and compliant with industry standards like PCI-DSS, sitting directly in the critical payment path and communication layer between external works and our platform. We also manage critical components that support all of Mollie’s infrastructure. That means what we build and maintain isn't just technical infrastructure; it's the foundation that keeps payments moving safely and reliably for hundreds of thousands of businesses across Europe. As a Platform Engineer on this team, you'll be working on Mollie's Cloud Platform (MCP), our flavour of GCP, enabling product teams to create real value. Your work will span critical cloud infrastructure, automation, observability, and system reliability. You'll collaborate closely with system and software engineers, and interface with teams across compute, database engineering, edge, and networking. The impact is immediate and tangible: the systems you build and maintain keep Mollie's payments running. This is a role for someone who cares about quality for engineers and non-engineers alike and who brings a genuine passion for automation, distributed systems, and getting things right at scale. What you’ll ship - Design, build and maintain critical cloud infrastructure on GCP including Load Balancers, VPC, CDN, cross-region routes, and API Gateway, that keeps Mollie's payment systems running reliably. - Drive automation across the platform using Go and Python, reducing manual toil and building systems that scale without friction. - Own and evolve infrastructure as code using Terraform, managing a broad set of infrastructure resources with consistency and confidence. - Set up and maintain observability across team-owned projects, using tools like Datadog, Google Cloud Logging, and Sentry. So issues are caught early and resolved fast. - Collaborate with stakeholders to define, set and maintain SLOs and SLAs that meet the needs of our business and our merchants. - Ship new products and platform improvements alongside system and software engineers, balancing speed of delivery with a high bar for reliability and security. What you’ll bring - Extensive hands-on knowledge of GCP and public cloud infrastructure. You're comfortable owning critical systems at scale - Solid experience with Terraform and infrastructure as code. You think in systems and know how to manage infrastructure with precision - Strong Kubernetes experience, you understand how to run and operate containerised workloads in production environments - Proficiency in Python, you can write automation and tooling that makes the platform easier to operate and extend - A track record of working in environments where reliability and security aren't afterthoughts. You know how to balance shipping fast with keeping systems well-operated and monitored - A passion for automation and distributed systems. You default to building scalable, repeatable solutions rather than one-off fixes Grow your way At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms. You’ll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step. No matter if you’re aiming for promotion, exploring a different career path or building new skills, you’ll be supported with the tools, trust and opportunities to grow your way. Unlock your full potential and join us to eliminate financial bureaucracy If you're excited by the idea of building what’s next, for yourself and for thousands of businesses across Europe, we’d love to hear from you. Want a peek behind the scenes? Check out what life at Mollie https://jobs.mollie.com/ is really like. AI at Mollie We believe in Always Be Shipping, and AI brings https://jobs.mollie.com/ai-manifesto that philosophy to life across every team, every role, every day AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We’re looking for people who are excited to use AI to shape the future of finance with us. Please apply with your CV in English Kindly note that relocation or visa support is not offered for this role.

- Разрабатывать и дорабатывать внутренние веб-сервисы: небольшие приложения на Python (FastAPI / Flask) с веб-интерфейсом; - Писать ботов и интеграции: Telegram и MAX, обмен с 1С по HTTP / OData, выборки из MS SQL;

Location: Москва Мы строим маркетплейс ИИ-агентов и скиллов — платформу, где партнёры (разработчики, студии, вендоры, интеграторы) публикуют своих агентов и размещают навыки. Это новый продукт, который позволит предпринимателям подключать нужные решения под свои бизнес-задачи (работа с документами, договорами, бухгалтерскими отчетами, строить финансовую аналитику и многое другое) и все это доступно через единый чат-интерфейс, не переключаясь между десятками сервисов. Мы ищем человека, который возьмёт на себя партнёрское направление и одновременно будет отвечать за то, как продукт выглядит и работает на витрине — от первого контакта с партнёром до демо перед продакшеном. Обязанности Работа с партнёрами \- привлекать партнёров: разработчиков агентов, студии, вендоров интеграторов. \- строить экосистему с нуля: определять, какие типы партнёров нужны маркетплейсу на каждом этапе роста \- выстраивать процессы онбординга, поддержки и развития партнёров \- собирать обратную связь от партнёров и транслировать её в продукт Витрина и размещение \- отвечать за витрину маркетплейса: какие агенты и скиллы там представлены, как они категоризированы и ранжированы \- отвечать за карточку агента/скилла: структура, поля, описание, примеры использования, метрики, визуал — то, как решение презентуется пользователю \- формировать и поддерживать стандарты качества контента карточек, ревьюить партнёрские материалы \- развивать таксономиию: типы агентов, категории скиллов, теги, сценарии использования Продукт и запуск \- участвовать в тестировании новых фич витрины и карточек \- проводить демо перед продакшеном, защищать решения по контенту и партнёрскому наполнению \- влиять на продуктовую стратегию маркетплейса: приоритеты, roadmap, гипотезы монетизации и роста \- работать в связке с продуктом, разработкой, дизайном и маркетингом. Требования \- опыт работы с партнёрами в B2B сегменте и развития партнёрских программ / экосистем \- понимание продукта на уровне владения витриной/каталогом: как структурировать контент, как писать требования, как оценивать качество \- верхнеуровневое понимание рынка ИИ-агентов: ключевые игроки, тренды, типы решений \- чёткое понимание разницы между LLM-моделью и скиллом, а также какие бывают виды скиллов и агентов \- умение работать с неопределённостью и влиять на решения без прямых полномочий \- Сильные коммуникативные навыки: переговоры, презентации, демо Будет плюсом \- опыт запуска маркетплейсов, каталогов, экосистемных продуктов \- навыки работы с генеративными AI-моделями \- понимание MCP, function calling, tool use, оркестрации агентов \- опыт написания требований и работы с дизайнерами/разработчиками \- технический бэкграунд или опыт работы с API-продуктами. Условия * комфортный современный офис Москва, Кутузовская 32 * офисный формат работы * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * система обучения для профессионального и карьерного развития * расширенный полис ДМС с первого дня работы и страхование для семьи * программа ипотеки для сотрудников * подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

От 5 лет коммерческой разработки, опыт работы с Python, Django/DRF, Vue и TypeScript.

Развитие HR-платформы и внутренних сервисов. От 4 лет коммерческой разработки, из них от 2 лет на Go.

Location: Argentina Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We’re looking for a Senior Software Engineer, Optimize/Analyze to help develop and scale Webflow Optimize products. You’ll design high-performance systems that adapt user experiences in real time, working with large-scale data processing and distributed computing to lift conversion and personalization at scale. Our team is fast-moving, data-driven, and experienced in personalization, ML infrastructure, and large-scale analytics. The next chapter is ambitious. We’re serving some of the world’s largest enterprises and rethinking what an AI-native conversion platform can be. This is a cross-team technical role: you’ll work across a large, revenue-generating system, help decide what it needs to become, and partner directly with Engineering, Product, and Design to ship it. About the role: - Location: Remote-first (Argentina) - Permanent, full-time employee (this is not a contractor position) - Application Information: - Application deadline: applications accepted on an ongoing basis until position is closed and filled - This posting is for a new position. As a Senior Software Engineer on the Optimize team, you'll: - Architect, design, and build scalable multi-tenant backend services and APIs for our Optimize product, including our MCP server. - Build with MongoDB, Druid, Airflow, AWS (EC2, S3), Python, and TypeScript/Node.js. - Define clean service and API boundaries, and design and optimize the MongoDB data models and queries that power recommendations. - Improve scalability and reliability through distributed architecture, caching strategies, and event-driven systems tuned for low latency. - Lead projects from design through launch that move team and engineering org goals. - Write and review maintainable, tested, performant code, and raise the quality bar for the team. - Author, collaborate on, and evaluate design documents. - Use AI tools in your daily work, and help the team build reliable systems on top of non-deterministic, LLM-backed components. - Partner with product engineers, PMs, and designers to ship end to end. ABOUT YOU Requirements: - BA/BS degree or equivalent experience - Business-level fluency to read, write and speak in English You’ll thrive as a Senior Software Engineer if you: - 5+ years building and shipping production backend services, with a track record of performant, high-quality code. - Depth in distributed systems: concurrency, asynchronous and eventually consistent processing, queues or streaming, and designing for failure. - Strong Python and/or TypeScript/Node.js, plus data modeling experience in MongoDB or a comparable database. - Experience with real-time analytics, event-driven architectures, and REST APIs. - Hands-on experience with AWS, containers, CI/CD, and observability, and comfort owning infrastructure. - Strong production debugging skills across services and layers of the stack. - A habit of valuing testing, documentation, and reliability as much as shipping, and communicating trade-offs clearly. - Curiosity and a proactive embrace of AI tools to work faster and expand the team’s impact. It would be a bonus if you had even one of the following: - Experience with Apache Spark, Airflow, or TensorFlow. - Familiarity with Kafka or other event streaming platforms. - Prior experience working on large-scale personalization, experimentation, or recommendation systems. OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Stipends to support our distributed team. Localized support for cell, Wi-Fi, and WFH expenses to help you settle into your best remote life. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.