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Location: Moldova Company Background Coherent Solutions is a global digital product engineering company founded in 1995 and headquartered in Minneapolis, Minnesota. With a presence in nine countries and a team of more than 1,700 engineers, the company provides custom software development and engineering services across web and mobile applications, cloud, DevOps, and data. Coherent Solutions works with clients worldwide to build and scale digital products while fostering a culture of collaboration, transparency, and continuous professional growth. Project Description You will work with senior engineers on internal classical machine learning initiatives. The role combines structured learning, practical delivery, and gradual ownership of increasingly complex tasks. Technologies Python, pandas, NumPy, scikit-learn, Jupyter SQL XGBoost, LightGBM MLflow FastAPI Git, Docker, pytest What You'll Do Prepare and validate structured datasets for machine learning tasks, including cleaning, transformation, encoding, scaling, and missing-value handling; Conduct exploratory data analysis to identify patterns, data quality issues, and opportunities for modeling; Build, test, and compare ML models for tasks such as regression, classification, clustering, dimensionality reduction, and anomaly detection; Develop and select features with guidance from senior engineers; Run experiments, tune model parameters, and evaluate results using appropriate validation approaches and metrics; Help maintain reproducible ML pipelines, notebooks, experiment tracking, and technical documentation; Write and maintain automated tests for data and model-related code; Support the delivery of models through REST APIs or batch-processing workflows; Document model assumptions, results, limitations, and technical decisions; Work closely with senior engineers, incorporate feedback, and gradually take ownership of more complex tasks; Job Requirements 1+ year of hands-on Python development experience, including experience with pandas, NumPy, scikit-learn, and Jupyter; A strong foundation in statistics, probability, and linear algebra, plus exploratory data analysis skills; An understanding of supervised and unsupervised learning, and practical experience with regression, classification, clustering, dimensionality reduction, and anomaly detection; Experience preparing structured datasets, including cleaning, transformation, encoding, scaling, and missing-value handling, plus practical feature engineering and feature-selection skills; An understanding of train/validation/test splits, cross-validation, data leakage, overfitting, and regularization; the ability to select appropriate evaluation metrics, compare models, and perform error analysis; Familiarity with hyperparameter tuning and reproducible ML pipelines; SQL skills for data extraction and analysis; The ability to expose models through REST APIs or batch-processing workflows; Familiarity with Git, automated testing, Docker, and basic model monitoring; The ability to explain model behavior, assumptions, limitations, and results; English at B2 level or higher; Nice To Have XGBoost, time-series analysis, recommendation systems, MLflow, model interpretability, cloud services, production ML monitoring, and GenAI, LLM, RAG, prompt-engineering, or agent-development experience; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

• Сборка 360° локаций в Unreal Engine 5 от блокинга до финального арт-пасса. • Создание панорамных окружений, интерьеров, экстерьеров, природных и архитектурных сцен.

Location: Canada What The Role Is We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless. Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting. We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next. Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help. If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on. What You'll Own You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape: Product recommendations across every surface. Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them. Personalizing the Feed. Deciding which products, editorial content and social content each family sees, and in what order. Personalizing search. Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations. Making Addie (our AI registry assistant) better at recs. Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site. In practice, you will: Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric. Make the modeling and architecture calls that span surfaces and are expensive to reverse. Design the evaluation, offline and online, that tells us a model is good before and after it ships. Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches. Partner with product, design and data to help shape what's worth building. Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org. Who You Are You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey. You bring: Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias. Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend. An ability to take an ambiguous problem and start moving before anyone hands you the full picture. A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings. An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue. AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next. Compensation We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is 299,300 to 372,600 CAD plus a target annual bonus of 20 percent of base. That's total target cash of roughly 359,160 to 447,120 CAD. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. If your timeline is tight, tell us and we'll move faster. Benefits Company-paid medical and fully covered dental and vision A 401(k) match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things To Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address

Location: United States What The Role Is We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless. Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting. We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next. Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help. If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on. What You'll Own You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape: Product recommendations across every surface. Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them. Personalizing the Feed. Deciding which products, editorial content and social content each family sees, and in what order. Personalizing search. Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations. Making Addie (our AI registry assistant) better at recs. Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site. In practice, you will: Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric. Make the modeling and architecture calls that span surfaces and are expensive to reverse. Design the evaluation, offline and online, that tells us a model is good before and after it ships. Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches. Partner with product, design and data to help shape what's worth building. Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org. Who You Are You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey. You bring: Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias. Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend. An ability to take an ambiguous problem and start moving before anyone hands you the full picture. A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings. An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue. AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next. Compensation We post real numbers. For a US-based Staff Engineer, the starting base salary range is $233,500 to $290,700, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $280,200 to $348,840. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. If your timeline is tight, tell us and we'll move faster. Benefits Company-paid medical and fully covered dental and vision A 401(k) match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things To Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address

Location: Paris, France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. MISSION Alan is scaling internationally (800+ employees, 100+ healthcare professionals, 5+ countries) and needs IT Engineers to build and own the internal technology platform every Alaner works on: identity and provisioning, endpoint and SaaS security, the tooling behind our clinics, and the automation that keeps IT from scaling linearly with headcount. The scope below is what the team owns, not a checklist for one person. You'll be staffed on one or two of these areas at a time, according to your strengths and interests, and it will evolve through time based on company needs and personal appetite. Staying close to users keeps us building the right things: you'll spend up to 2-3 days a month on IT support, seeing first-hand where friction lives and what's worth automating next. SCOPE ⚙️ PLATFORM & AUTOMATION - Own and extend automations on Alan Home, our internal provisioning engine - Maintain, extend and improve helpdesk automation, SaaS provisioning flows, and onboarding/offboarding pipelines - Own the meeting room AV and room-booking platform as a product, replicable across offices 🔑 IDENTITY & ACCESS - Own the IT side of the employee lifecycle (onboarding, offboarding, mobility between jobs and countries) across Google Workspace, SSO/SAML and our SaaS ecosystem. - Grow our role-based access model: extend it to more tools and refine the permission groups, so access is granted by role rather than case by case - Make employee lifecycle events reliable, fast and auditable end-to-end - Own access reviews and least-privilege models; produce and maintain the evidence our auditors rely on - Own SaaS procurement and license management: vendor relationships, renewals, and cost optimization across our stack 🔒 ENDPOINT & SAAS SECURITY - Own the Mac fleet in Kandji: enrollment at scale, role-based blueprints, fleet compliance - Cloudflare WARP, SaaS security controls - Maintain and strengthen our ISO 27001 certification and drive ACPR and pentest remediation on the endpoint and platform scope 🩺 HEALTH PROFESSIONALS IT - The IT layer behind Alan's clinics: practitioner tooling, equipment, access - Role and permission automation for healthcare professionals, and their support and escalation process 🌍 INTERNATIONALISATION - Make international expansion something IT accelerates, not something it slows down: a repeatable process where every new market (Canada, KSA, Armenia...) launches on our standard stack from day one - Bring acquired entities onto that same platform MILESTONES First 3 months - Acquire technical knowledge on Alan's platform: Alan Home, Google Workspace/SSO, Kandji, Cloudflare WARP - Take one project end-to-end and ship a first increment - Join the IT oncall team as technical escalation First 6 months - Own a workstream end-to-end - Deliver one automation or hardening initiative end-to-end - Take up documentation and automation on your scope and reduce significantly the bus factor on it - Mentor IT teammates on your core expertise First year - Deliver measurable IT toil reduction on your scope - Set the technical standards on your domain: how we build, document and review it - Build strong cross-functional partnerships (Engineering, Security, Workplace, Clinic, People, Audit) - Contribute to hiring and onboarding new teammates 3 years - Lead major projects end-to-end across several communities - Be the reference the team relies on across at least two domains - Mentor the IT team and beyond, and scale IT without a linear increase in manual work As the community grows, there is room to take on more responsibility: leading a crew, owning cross-community projects, mentoring, hiring. WHAT WE'RE LOOKING FOR Must-have - Technical/hard skills: - 5+ years in IT engineering, platform, systems or corporate engineering, with real ownership of production-facing systems - Depth in at least one area (platform & automation, identity, endpoint & security) and demonstrated range beyond it. - You write code: not necessarily as a full-time software engineer, but Python, APIs and pull requests in a shared repo should feel normal - Structured problem-solving: diagnoses methodically, asks the right clarifying questions, thinks about failure modes and rollback - Comfort with regulated environments: health data, ACPR, ISO 27001, HDS - Automation & AI appetite: uses AI tools smartly to accelerate their own delivery, with an instinct for what should be automated or delegated to AI rather than repeated Must-have - Behavioral / soft skills: - Ownership & autonomy: drives topics forward without hand-holding, including when they cross into someone else's perimeter - Written communication: Alan is written-first; decisions get argued in public documents and challenged by people outside your team - Pragmatic judgment: balances "perfect" vs. "good enough", decides with incomplete information - Documentation culture: reduces bus factor through clear documentation and knowledge sharing Nice-to-have skills / Bonus points if you have: - Experience with an internal provisioning or IdP-driven automation platform - Kandji or another MDM at scale - Cloudflare Zero Trust / WARP, Datadog - Audit remediation experience (ISO 27001, HDS) - Multi-country rollouts, or IT integration after an acquisition - Having mentored, coached or led a (small) crew - Health or healthtech ecosystem familiarity Languages: Fluent English & Professional French

We’re looking for a fully remote Digital Marketing Manager to oversee and execute (with creative support) digital ads, email, and social media across both brands. This position will own the planning, implementation, copywriting, channel management, budget allocation, partner relationships, and performance reporting.

Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a Product Manager to join our Product team. You will own Software Factory, a new product area that puts AI agents on every stage of the development loop — triaging an issue, planning it, writing the code, and checking the result — while keeping people on the judgment calls. Human time and human attention have become the bottleneck, and the opportunity is to move towards automation of continuous software maintenance and improvement. You will define how agents help fix bugs, implement features, improve performance, mitigate security issues, improve code quality, and increase test coverage. You will report to the Product Lead and will be located in San Francisco, CA (hybrid). If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What you'll do Own the product vision, strategy, and multi-year roadmap for Software Factory. Define the workflow model — how work moves through classification, analysis, implementation, and review, and where the handoff back to a person belongs Own the trust and quality bar: evals, verification, retry behavior, and what the factory is permitted to touch without human approval Define how factories integrate with where engineering work already lives, including GitHub and Linear, and with agent harnesses such as Codex and Claude Code, as well as new dedicated surfaces for interacting with factory agents. Shape the memory and context model that lets a factory accumulate real knowledge of a repository over time Work directly with design partners and Enterprise customers adopting factories against their own codebases What you need You've worked on developer tooling products, ideally CI/CD, code review, developer productivity, or AI coding tools You have deep hands-on experience with coding agents and a substantiated point of view on where they succeed and where they fail today You have the technical depth to reason about agent orchestration, evals, context management, and sandboxed execution You have owned a platform area that other product teams build on, and set technical direction others adopted You have experience with products whose output is probabilistic, including defining acceptance bars and measuring quality over time You have experience working directly with design partners or Enterprise customers on adopting new engineering workflows Bonus if you Have worked on multi-agent systems or agent orchestrators. Have worked on evals or systematic measurement of AI output quality Have worked on products adopted bottom-up by individual developers before spreading to teams Have run or operated a large open-source project Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Berlin Office; Bosnia; Romania; Norway; Estonia; Latvia; Slovenia; Netherlands; Hungary; Moldova; Kosovo; Portugal; Poland; Serbia; Germany; Austria; Finland; Montenegro; London Office; Albania; Lithuania; Slovakia; Ireland; Bulgaria; Denmark; Belgium; Czech Republic; United Kingdom; Croatia; Spain; Greece Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. AGENTIC ENGINEERING PLATFORM ENGINEER   Developer Productivity · AI Coding Agents · Developer Platform   🎯 Your main goal will be to keep n8n operating as an AI-native engineering organization where agents are embedded across the development cycle; helping teams plan, build, test, review, learn, and improve. You’ll do this by maintaining and evolving the platform foundations, tools, guardrails, and team processes that make agentic development safe, measurable, and sustainable. Working with Developer Platform, Security, AI/Agents, Architecture, and product engineering teams, you’ll help teams continuously adopt what works from frontier AI and make success visible through faster feedback loops, better quality, stronger resilience, and more learning from what we ship: BUILD THE PAVED ROAD FOR AGENTIC DEVELOPMENT - Define safe task categories for autonomous agents, including what they can attempt, what they should never touch, and where additional review is required. - Design and implement isolated execution environments where agents can work without exposing secrets or accessing sensitive systems unnecessarily. - Build pilot workflows that allow selected Linear issues to be picked up by agents, tested, and converted into useful draft PRs. MAKE N8N'S MONOREPO AGENT-READY - Create and maintain repo instructions, agent playbooks, ownership metadata, coding guidelines, and documentation that improve agent performance. - Continuously improve developer workflows, repo structure, testability, and documentation based on where agents succeed, fail, or create reviewer friction. - Partner with Architecture and senior engineers to define boundaries, dependencies, and areas where agents need more context or tighter constraints. INTEGRATE AGENTS INTO ENGINEERING WORKFLOWS - Integrate agentic workflows with Linear, GitHub, CI, test infrastructure, and developer review processes. - Design PR evidence templates that help reviewers understand what changed, why, what tests ran, what risks remain, and where human judgment is needed. - Partner with Security, AI/Agents, Developer Platform, and product engineering teams to define guardrails for sensitive areas like auth, billing, permissions, and data handling. MEASURE QUALITY, SAFETY, AND ADOPTION - Create benchmarks from real historical engineering tasks to evaluate agent output quality, failure modes, test pass rates, review burden, and production risk. - Define quality signals and adoption metrics such as draft PR usefulness rate, reviewer acceptance rate, CI pass rate, rework rate, and developer satisfaction. - Use data and feedback from pilot teams to improve agent workflows, reduce unsafe attempts, and build trust across engineering. REQUIREMENTS MUST-HAVES - 🧠 Autonomous coding agents: You have experience with autonomous coding agents, AI coding platforms, agent orchestration systems, or internal AI developer tooling. - 🤖 Agentic development experience: You have practical experience building, deploying, or operating AI-assisted or agentic software development workflows that work with developers not besides them. - 🛠️ Strong engineering foundations: You have a strong software engineering background, ideally in platform engineering, developer experience, infrastructure, tooling, CI/CD, or engineering productivity. - 🧭 Ambiguity leadership: You’re comfortable leading a first-of-a-kind technical initiative from problem definition through pilot, adoption, measurement, and iteration. - 🔁 Modern engineering workflows: You deeply understand GitHub, CI, testing strategies, code review, monorepos, issue tracking, developer environments, and release risk. - 🔐 Safety-first judgment: You have strong judgment around permissions, secrets, sandboxing, sensitive code paths, and human-in-the-loop review. - 📊 Measurable systems thinking: You know how to design benchmarks, quality signals, failure-mode tracking, and adoption metrics. - ✍️ Clear written communication: You’re strong at writing repo instructions, playbooks, PR evidence templates, technical proposals, and alignment documents. - 🤝 Cross-functional influence: You have credibility with senior engineers and can influence across Platform, Product Engineering, AI, Security, and Architecture without formal authority. NICE-TO-HAVES - 📦 TypeScript monorepos: You have worked in a large TypeScript, Node.js, or JavaScript monorepo. - ⚙️ Developer platforms: You have experience with GitHub Actions, Linear, automated testing infrastructure, preview environments, or internal developer platforms. - 🛡️ Security-aware platform engineering: You have worked on sandboxing, secrets management, least-privilege access, or sensitive code ownership. - 📏 AI evaluation: You have created evaluation frameworks, benchmarks, or quality metrics for AI-generated code or automation systems. - 🌍 Open-source communities: You have experience contributing to open-source or source-available projects with active developer communities. - 🏢 B2B SaaS context: You understand environments where reliability, permissions, data handling, and customer trust are central. - 🔗 Workflow automation: You’re familiar with workflow automation, integration platforms, AI orchestration, or developer-facing products. Why join us? At n8n, you’ll help define how autonomous AI agents become a trusted part of engineering inside one of Europe’s fastest-growing AI-native infrastructure companies. Your work will shape the platform foundations, safety model, evaluation framework, and developer workflows that determine whether agents can contribute meaningfully to production engineering without lowering the quality bar. You’ll join a remote-first team with high autonomy, high visibility, and a strong builder mindset. Because this is a first-of-a-kind role, you’ll have the opportunity to set direction, influence engineering culture, and create learnings that may inform both internal engineering productivity and n8n’s external product thinking. Sound like a challenge you’re excited to take on? Apply now — and help us build the future of automation. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Location: AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid At Xero, we’re here to supercharge small businesses. By making small business more efficient every day, connecting them with big business technology and empowering a community behind them, their potential is limitless. When that happens, we’re not only helping small business, we’ll be building a stronger economy that can change the world.At Xero, we’re here to supercharge small businesses. By making small business more efficient every day, connecting them with big business technology and empowering a community behind them, their potential is limitless. When that happens, we’re not only helping small business, we’ll be building a stronger economy that can change the world. THE ROLE & TEAM Product Data Science & Engineering is a portfolio team within Product & Technology. Partnering across Product, Engineering, Design, Marketing, and Commercial leadership, we set Xero’s data science strategy across broad product areas and operate in an AI-native way—using AI to transform how we work, not just what we ship. The team co-own Xero's metrics stack, experimentation strategy, and enterprise data architecture and builds AI-powered customer experiences including the Jax chatbot and agentic workflows—in partnership with Anthropic, OpenAI, and Google. They also lead AI measurement and productionisation. We work in an AI-native way. That means AI changes how data science itself gets done here, not just what we ship. This is a new strategic leadership role created to scale Xero's data science and AI capabilities. You will take full ownership of the data science, analytics, ML, and AI strategy and execution across Accounting & Bookkeeping, Small Business, and AI products. This role combines strategic product vision (including Jax, agentic workflows, and AI-powered features) with platform thinking across the metrics stack, experimentation, data quality, and governance, driving enterprise-level impact across every product team. WHAT YOU’LL DO - You will translate company-level objectives into strategic sub-objectives across analytics, ML, AI products, and experimentation, elevating both the quality of decisions and the leverage Xero gains from its data and AI investments. - Lead, mentor, and grow a team of data scientists, analytics engineers, ML engineers, and managers, scaling the function from ~12 to ~30. - Design team structures and operating models that preserve high throughput across multiple locations and time zones. - Operate as an AI-native leader, driving how AI changes how data science operates and ships value across Xero. - Act as the primary data partner to Product & Technology, advising C-suite and SLT on data utilization, retention strategy, new data domains, and AI investment decisions. - Represent data science in executive forums and partner with Product, Engineering, Design, Marketing, Commercial, Legal, Privacy and Risk on strategy, prioritisation and governance. - Own AI governance, model risk, data quality, privacy posture, and experimentation integrity across the portfolio, ensuring company-wide compliance and integrity. - Drive behavioral, technical, and cultural standards across the vertical. Own and improve global hiring practices, build talent maps, and coach senior leaders and individual contributors to raise the bar across Xero. - Proactively identify delivery and strategic risks, designing robust organizational processes that yield consistent, high-quality outcomes for Xero. WHAT YOU’LL BRING WITH YOU We welcome candidates from analyst, scientist, engineer, or AI/ML-focused backgrounds—a linear data science career is not required. What matters most is that you have operated, shipped, and led at scale within a fast-paced technology environment. As a self-starter and executive partner, you will shape and lead strategic agendas alongside C-suite and senior leadership, driving throughput across multi-location, global teams. You excel at bringing structure to complex cross-functional challenges, managing ambiguity, and maintaining a strong "Xero-first" mindset focused on delivering strategic value and accountable execution. - Ability to act as a proactive self-starter and executive partner, shaping strategic agendas with C-suite and SLT, presenting to board-level leadership, and influencing key investment decisions. - Proven ability to manage ambiguity, bring structure to complex cross-functional challenges, sustain throughput across multi-timezone teams, and hold stakeholders accountable to a "Xero-first" standard. - Skilled in leading managers, coaching leaders into senior roles, developing high-performing teams, and constructively escalating strategic risks when necessary. - Experienced in navigating teams through significant scale-ups, operating model transformations, and continuous evolution in fast-paced environments. - Practical experience leveraging frontier-model platforms (e.g., Anthropic, OpenAI, Google) to build agentic workflows, chatbots, and AI-powered products, as well as transforming team operating models using AI workflows. - Substantial experience leading data science, ML, or analytics functions, with a proven track record of managing other people leaders across multi-team structures. - Extensive experience building and running enterprise-scale data science functions, AI/ML productionisation, AI governance, model risk frameworks, and experimentation integrity. - Deep technical fluency across applied ML, analytics engineering, instrumentation, eventing, and schema governance, with a strong engineering mindset focused on building scalable platforms and reusable architectures. - Prior exposure to SaaS or small business segments, with a track record of driving scale, data quality, and privacy compliance. - Technical bachelor's or master's degree (PhDs welcome for applied, high-impact organizational challenges), supported by public thought leadership or open-source contributions in data or AI. WHERE AND HOW YOU CAN WORK This role is based in Sydney or Melbourne with a flexible hybrid working setup, spending 1 to 2 days per week in the local office to connect and collaborate. 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.

Location: Santiago de Chile, Chile Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. The Head of Sales - Disney will define and execute the advertising sales strategy for Disney in Chile, leading Aleph’s commercial representation of the full Disney portfolio: Disney+, ESPN, linear Pay TV channels and digital platforms. This executive will drive sustainable revenue growth, build and lead a high-performing sales team, and develop long-term strategic partnerships with the market’s key advertisers and agencies, ensuring alignment with both Aleph’s and Disney’s business objectives. The role combines a strong commercial and strategic mindset with deep local market expertise and a hands-on leadership approach. You will champion the use of AI tools and workflows to accelerate team performance, sharpen client insights and improve revenue outcomes, while collaborating closely with cross-functional partners to maximize the value of Disney’s advertising ecosystem across platforms. Main responsibilities: Define and implement comprehensive advertising and sales strategies for the Disney portfolio in Chile, across linear, streaming, digital and programmatic, to achieve revenue and business objectives. Own the country’s revenue targets, forecasting and pipeline health, and present regular performance reports to Aleph and Disney leadership. Build strong partnerships with key clients, agencies and C-level executives across the market’s priority categories. Cultivate a team of ad sales executives and planners, equipping them with AI-powered tools for prospecting, pitch personalization, performance analysis and forecasting. Manage the team through coaching, training and recruiting, setting quotas, monitoring performance and building a culture of continuous AI adoption. Negotiate and close agreements with clients and agencies, and manage contracts and relationships with external partners. Analyze sales data, local market trends and competitive insights to set targets and inform commercial decisions. Establish managerial processes — annual planning, budget prioritization and impact measurement — supported by AI-driven dashboards and forecasting models. Oversee and efficiently manage the advertising and sales budget for the market. Sustain close communication with Disney’s local and regional counterparts, ensuring compliance with inventory guidelines, brand standards and contractual commitments. Inspire individual and business success by clearly communicating the “why” behind business decisions and connecting the team to the bigger picture. Stay ahead of AI and adtech trends, translating them into competitive advantages for clients and for the team. Collaborate cross-functionally with Planning, Ad Operations, Research, Finance and Marketing to ensure seamless proposal development and campaign execution. Skills and experience required: Bachelor’s degree in Business, Marketing, Communications or a related field; Master’s degree preferred. 10+ years of experience in media sales, with proven executive-level experience in commercial leadership or business development and a strong track record of driving revenue growth. 3+ years of people management experience, with demonstrated ability to lead, scale and motivate high-performing sales organizations. Deep understanding of the advertising ecosystem, including digital advertising, CTV, streaming platforms, social media, programmatic and optimized linear/addressable television. Established relationships with the leading advertisers, agencies and media holdings in the Chilean market. Demonstrated experience using AI tools in a sales context (e.g. Salesforce Einstein, HubSpot AI, ChatGPT/Claude for client communications, Gong, 6sense or similar). Data-literate mindset: comfortable interpreting AI-generated insights and translating them into actionable sales strategies. Strong strategic, analytical and forecasting capabilities, with experience managing complex commercial portfolios. Ability to lead, plan and manage extensive advertising budgets and campaigns. Excellent communication, negotiation and relationship-building skills, with the ability to engage effectively with C-suite executives, senior clients and key partners. Proven ability to collaborate across multiple functions and geographies within a matrixed organization. High level of adaptability, accountability and problem-solving capability in fast-paced environments. Hands-on leadership style with a deep understanding of end-to-end commercial and sales processes. Proficient in Spanish and English. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What’s the opportunity? As a Senior Sales Operations Manager, you will be a strategic and operational partner to Fin’s Sales organization, helping build the systems, processes, reporting, and operating rhythms that enable our go-to-market teams to scale effectively. You’ll work at the intersection of Sales, Finance, Business Systems, Data Engineering, Marketing, and GTM leadership. You’ll own critical sales operations programs across forecasting, pipeline management, territory and quota planning, compensation, performance reporting, and process optimization. This is a high-impact role for a systems thinker and commercially minded operator who can move comfortably between detailed analysis, cross-functional program management, and executive-level recommendations. You’ll have the opportunity to improve how Fin’s sales organization operates while helping scale the GTM engine behind one of the fastest-growing AI products in the market. What will I be doing? Own and optimize core sales operations processes, systems, and operating cadences across the sales organization. Partner with Sales leadership and Finance to build and maintain forecasting processes, pipeline reporting, quota models, attainment tracking, and performance insights. Develop clear, trusted reporting and dashboards that give leaders visibility into funnel health, productivity, conversion, win rates, capacity, and revenue performance. Lead territory planning, segmentation, coverage, and capacity analysis to support efficient allocation of sales resources. Partner with Finance and Sales leadership on compensation planning, plan administration, performance measurement, and reporting. Translate business requirements into scalable solutions across CRM, BI, sales planning, compensation, and other GTM systems. Partner with Business Systems and Data Engineering to improve data quality, data models, integrations, automation, and reporting infrastructure. Identify and eliminate operational bottlenecks across the sales cycle, including lead routing, opportunity management, approvals, contracting, handoffs, and post-sale transitions. Establish and maintain consistent definitions, governance, documentation, and processes for key sales metrics and data. Lead complex cross-functional projects from discovery through implementation, including requirements gathering, stakeholder alignment, testing, rollout, and change management. Build executive-ready analyses and recommendations that help leadership make decisions about growth, investment, productivity, and organizational design. Use AI tools and automation thoughtfully to reduce manual work, improve data access, and increase the speed and quality of sales execution. Create scalable operating processes that support growth without requiring linear increases in headcount. Act as a trusted advisor to sales leadership on performance trends, operational risks, process improvements, and strategic priorities. Support quarterly and annual planning activities, including business reviews, headcount planning, goal-setting, and operating plan development. What skills do I need? 5+ years of experience in Sales Operations, Revenue Operations, GTM Strategy, Sales Strategy & Operations, Business Operations, or a related field, preferably in a high-growth technology or SaaS company. Strong understanding of sales processes, forecasting, pipeline management, quota and territory planning, compensation, and sales performance metrics. Experience owning or significantly improving CRM, BI, planning, compensation, or revenue technology systems. Strong analytical skills, with the ability to translate complex data into clear insights and practical recommendations. Advanced Excel or Google Sheets skills and experience with BI or reporting tools such as Tableau, Looker, Power BI, or similar. Familiarity with Salesforce or comparable CRM platforms; experience partnering with Business Systems or Data Engineering teams is highly valuable. Experience designing scalable processes, data governance frameworks, reporting systems, and operational workflows. Ability to manage complex, cross-functional programs with multiple stakeholders and competing priorities. Strong commercial judgment and the ability to connect operational improvements to revenue outcomes. Excellent written and verbal communication skills, including the ability to present recommendations to senior leaders. Comfortable working hands-on in the details while maintaining a strategic view of the broader business. AI fluency and curiosity about applying AI, automation, and emerging tools to improve sales productivity and operational efficiency. High ownership, sound judgment, intellectual curiosity, and a bias toward action. Comfortable and energized operating in a fast-moving, ambiguous environment where priorities evolve quickly. *Proof of eligibility to work in the United States is required. The base salary range for candidates within the San Francisco Bay Area is $162,000-$180,000. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Remote, Global 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 FinOps Engineer to help drive cost optimization and cloud financial governance across our AWS infrastructure and GCP footprint. You'll work cross-functionally with Engineering, Finance, and Product to find and ship savings, build the tooling necessary to maximize efficiency of every dollar spent in the cloud, and cultivate a culture of cost awareness across engineering teams. This is a hands-on engineering role, not an analyst seat. You'll do the schlep work other teams don't have time for, digging into a bucket's access pattern, writing the Terraform or Lambda that ships the fix, working on a product feature chasing a number until it reconciles, and influencing product decisions when cost to reliability tradeoffs hit. Strong communication matters as much as technical depth, you'll regularly explain a savings case to an engineering team, a finance stakeholder, and a leadership audience in the same week. What You'll Be Responsible For In this role, you'll: - Find and ship savings across AWS and GCP: Analyze billing, usage, and cost trends to identify opportunities, rightsizing, storage lifecycle policies, data transfer, and spot/auto-scaling. Take ideas from identification through to a realized dollar figure, not just a recommendation. - Build and maintain cost attribution: Tagging policies, cost allocation, and chargeback/showback so engineering teams can see and own their own spend. This is foundational work other savings work depends on. - Automate cost governance: Build automated cost reporting, anomaly detection, and alerting. Write the scripts and infrastructure-as-code (Python, Terraform, Lambda) that enforce cost policy rather than relying on manual review. - Partner with engineering on architecture decisions: Bring cost into the room early, cost-efficiencies are cheaper to get right at design than to retrofit. - Work with Finance on forecasting and reporting: Support budget tracking and financial KPIs; build dashboards engineering and finance can both read. You Might Be a Good Fit If You - Have strong AWS expertise and working GCP knowledge, including pricing models, billing structures, and cost optimization mechanics. - Have automation and scripting skills: Python, Terraform/ pulumi, Lambda, or Bash - Are comfortable with cost/billing tooling: AWS Cost Explorer, Cost & Usage Reports, GCP Billing Reports, and BI/dashboarding (we use Hex). - Have experience with, or are comfortable picking up, Linear and Notion as the system of record for tracking and documenting FinOps work. - Experience with a dedicated cloud cost management platform (e.g. CloudZero, Vantage, or similar) is a plus, not required. - Can analyze cost data and present it clearly to both technical and non-technical audiences. - Have prior experience in a FinOps, cloud cost management, or cloud governance role. - Are energized by doing the unglamorous, high-leverage work (the schlep) that unblocks other teams, and by working cross-functionally without positional authority. 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.

Koast.ai ищет Head of Technical Support для удалённой работы в США с полным рабочим днём, подчиняющегося CEO. Задачи: — Организация онбординга новых клиентов: подключение рекламных аккаунтов, настройка атрибуции (Hyros, Cometly), приглашение команды, запуск первой кампании совместно с клиентом. — Полное сопровождение поддержки через Intercom: управление временем ответа, качеством решений, базой знаний, макросами и путём эскалации. — Триаж и взаимодействие с инженерами: определение багов, функциональных пробелов, ошибок пользователей и проблем Meta API; воспроизведение и документирование багов с подробностями для инженеров в Shortcut. — Контроль качества релизов: тестирование на реальных рекламных аккаунтах, проверка запусков, автоматизаций, действий AI-агента и интеграций. — Мониторинг систем: контроль Meta API, обновления токенов, вебхуков, учётных записей Whop, синхронизации атрибуции с помощью Sentry, PostHog и внутренних дашбордов. — Анализ здоровья клиентов и удержания: отслеживание активности аккаунтов, выявление рисков оттока и регулярный отчёт CEO. — Подготовка статей в справочный центр и видеоинструкций для часто задаваемых вопросов. Требования: — Опыт 3+ года в технической поддержке, customer success или поддержке B2B SaaS продуктов, включая роль основного связующего звена с инженерами. — Практический опыт работы с Meta Ads: управление аккаунтами, запуск кампаний, решение проблем Ads Manager и API. — Опыт работы с Intercom или аналогичными платформами поддержки, а также с системами управления задачами (Shortcut, Linear, Jira). — Опыт проведения QA или UAT релизов программного обеспечения. — Умение читать логи, ответы API и мониторинг ошибок (Sentry или аналогичные), без необходимости писать код. — Знание инструментов атрибуции (Hyros, Cometly, Triple Whale, Northbeam) будет плюсом. — Готовность работать полный день по часовому поясу США. Условия: — Работа в небольшой команде с высокой автономией. — Возможность влиять на создание функции поддержки, стандарты QA и процессы онбординга. — Работа с крупными рекламными командами Meta и AI агентом. — Полная занятость, стабильная компания с бонусами за удержание и качество решений, оплачиваемый отпуск. — Удалённая работа с гибким графиком в рамках рабочих часов США. Как откликнуться: — Записать видео Loom до 5 минут, в котором рассказать о своём опыте, показать проекты и рекламные аккаунты, привести пример баг-репорта, описать случай с недовольным клиентом и объяснить, как Koast помогает медиа-байерам. — Отправить ссылку на видео и резюме или LinkedIn на jobs@koast.ai с темой письма "Retention is king". — Без видео заявки не рассматриваются. Важно: требуется опыт с рекламными продуктами и возможность работать по часам США.

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity OKX is going all-in on AI-native localisation. The field has long been stuck on one trade-off: you can have translation quality, or you can have scale, but not both. And the real question was never "is this translation accurate?" — it's "can the user actually understand it and get through the flow?" Web3 is the hardest place to solve this. The vocabulary reinvents itself constantly, with new tech jargon, protocol names and memes appearing every week. It sits next to dense, high-stakes trading terminology, where a single mistranslated word can mislead a user or move money. And every market has its own fast-moving regulations, so the "right" translation is a moving target that must stay compliant across jurisdictions in real time. If you want a localisation problem that is genuinely unsolved — high ambiguity, high stakes, high velocity — this is it. We're going to break the trade-off with agents. You will own the 0-1 build and launch of two things: A frontier agentic translation system that localises every market (20+ languages) with a human-in-the-loop mechanism. A self-improving agentic QA product that autonomously evaluates translation and end-to-end localisation quality, flags its own failures, and closes the loop. This is a build-the-frontier role, not a manage-the-vendor role. This role does not require a linguistics or translation background, multilingual ability, or algorithm engineering skills. We're looking for a PM leader who can build a frontier agentic translation and QA system from 0 to 1 — and make the whole organisation share responsibility for localisation quality. What You’ll Be Doing You will lead a squad of product managers and developers, and work hand-in-hand with language managers, to ship the translation and QA systems into production. You set the product direction and quality bar; your PMs and engineers build the agents, harness and evals; and the language managers ground the system in what "good" actually means in each market. Your job is to make these three groups operate as one team — and to make localisation quality something the whole organisation owns, not just the language team. Own the agentic translation system Architect and ship it end to end, from 0 to 1, across all markets and 20+ languages — where models carry the work and humans set the standard and make the final call. Break the cost curve: hold quality flat while coverage scales across languages, content and release velocity, so cost stops growing linearly with the business. Make the system interoperate cleanly with OKX's existing localisation stack and content pipelines, rather than living as an island. Build the agentic QA and quality automation Stand up an autonomous QA agent that evaluates translation and localisation quality at scale — catching regressions before release, monitoring in production, and self-verifying every fix, using LLM-as-a-judge and eval harnesses rather than manual review. Evaluate not just accuracy and fluency but cultural fit, bias and safety — especially on regulated and financial content, where a wrong or non-compliant phrasing is a real risk. Make quality measurable: define and drive a hard quality signal — human-acceptance rate, or the edit effort needed to reach shippable quality (e.g. Translation Time-to-Edit) — so quality is a metric the system optimises against, not a subjective call. And protect the funnel: conversion on key user journeys should never be adversely affected by language or localisation issues. Make it self-improving Drive a sustained reduction in severe and recurring production issues — every escape becomes a new guardrail, and the system gets smarter with every release. What We Look For In You PM leader who has taken a frontier agentic product from 0 to 1, beyond translation. Proven ability to ship genuinely novel products at the edge of LLM capabilities—and repeat that success here. Accountable for business outcomes and measured on business metrics, not delivery volume. Deep hands-on experience building large-scale, frontier-LLM agentic systems from 0 to 1. Experience with harness/orchestration layers, multi-agent workflows, and LLM-as-a-judge or automated evaluation pipelines. Has built quality systems, automated evaluations, or release gates that enable confident autonomous-system launches. International product experience serving users across multiple languages and regions. Nice to Haves Built an agentic system from scratch Shipped agentic / LLM applications in production Finance, payments or another highly regulated industry. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-WWW #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Canada Remote; Argentina Remote Workplace: Remote ABOUT THE TEAM Teams do their best work when they’re aligned, and alignment depends on shared context. Today, the context that matters most to a team is scattered across a dozen tools: tickets in Jira and Linear, specs in Confluence and Google Docs, decisions buried in meeting notes, threads in Slack and Teams. Every new conversation starts with someone hunting it down. We’re changing that. The Integrated Workflows team is building the layer that brings a team’s real working context into Mural, so people (and the AI working alongside them) can align on shared knowledge and design the workflows they need. When this works, a person opens a canvas and the project, the open work, the last three meetings, and the doc everyone keeps referencing are already there. No team should have to start from a blank canvas. That’s the problem we’re solving, and we’re early enough that the person in this seat will shape how it’s done.   YOUR MISSION This isn’t connector maintenance. You’ll be defining how an AI-native product reaches into the outside world: what context to pull, how to represent it so models can reason over it, how to respect permissions and privacy across systems that each model them differently, and how to make all of that feel effortless to the end user. Few teams anywhere are working at this intersection of AI, integrations, and collaborative product design. WHAT YOU'LL DO - Design and build connectors, including MCP-based connectors, that bring context from systems of record, docs and wikis (Confluence, Google Docs, Notion, and others), meeting notes, and communication tools into the Mural canvas - Shape how that context is modeled, normalized, and made useful to users, so the canvas becomes a live picture of how a team works rather than a snapshot of one meeting - Bridge product and engineering: translate messy realities (different auth models, data shapes, rate limits, permission systems, partner review processes) into a product experience that just works - Build the integration platform, the shared frameworks, services, and patterns that let any team at Mural ship connected, context-aware experiences without starting from scratch - Own the security and trust posture of everything crossing our system boundary, including permissions, data handling, and graceful behavior when an upstream service misbehaves - Maintain and evolve our public API with the backwards-compatibility discipline a published interface demands - Lead projects end to end, from research and prototyping through release and iteration, with a bias toward getting value into customers’ hands quickly - Use AI tools as a core part of how you build, and help the team get better at it - Mentor colleagues, contribute to technical design, and raise the bar on code quality, testing, and documentation WHAT YOU'LL BRING - A product mindset: you care about why something is being built and who it’s for, not just how - 5+ years building and shipping production software at scale, with fluency in TypeScript/JavaScript and Node.js (React and Python are a plus) - Hands-on experience integrating with third-party APIs and platforms: OAuth and token lifecycle, webhooks, rate limiting and backoff, pagination, versioning, and degrading gracefully when things fail - Genuine curiosity about AI-driven products and development practices, and a willingness to experiment - A track record of designing scalable, reliable systems and delivering them iteratively - Strong communication skills and comfort leading technical discussions and navigating trade-offs NICE TO HAVE - Familiarity with the Model Context Protocol (MCP) or interest in learning it - Experience with the Microsoft ecosystem (Teams, Office add-ins) or shipping through a partner marketplace or app review process - Experience designing or maintaining a public developer API - Background in high-growth or startup environments Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. EQUAL OPPORTUNITY  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. Please contact us to request accommodation.

Location: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports To: Director of Product Management, Platform Location: Remote US Compensation: $190,000 to $220,000 base plus bonus and equity About The Role: We are building a product management organization to own and drive our product strategy, and we are looking for an experienced product manager to own a new team focused entirely on Security tooling for the Huntress SOC. Our SOC is the cornerstone of the Huntress Security Platform, serving SMB and mid-market clients through MSP/MSSP and Reseller channels. It delivers premium, human+AI services at a scale most companies can't match — Rapid Response, Tactical Response, and Hypercare together accounted for roughly 150 engagements in a single recent month. Much of that delivery still runs on an internal SOC platform that does not match analysts' current needs - this includes spreadsheets, Slack threads, and per-engagement documents. Our analysts work on a surface that has never had a first-class experience. You will own the internal security experience: the surface our SOC works in every day, the tooling that makes our response services repeatable, and the shared investigation and evidence model the rest of the SOC platform is built on. This is the delivery engine behind the margin thesis — the work that enables us to grow the business without growing SOC headcount linearly. It is also the foundation layer, so the interfaces you publish are consumed by our agentic automation team and our partner-facing product team. Your users are professional security analysts, and they are down the hall. You will get direct, immediate, unfiltered feedback on everything you ship from people who do this work for a living. You will work closely with SOC leadership, engineering leaders, support, and other Product Managers. To be successful in this position, you need real fluency in how a SOC actually operates — how analysts triage, investigate, escalate, and report — and the judgment to tell the difference between a workflow that needs product support versus not. You will be building internal-facing systems where the return is measured in analyst throughput and time-to-close rather than ARR, and you will need to make that case clearly to executive stakeholders. What You’ll Do: Work with the Director of Product, the Head of SOC, and other relevant stakeholders to set the SOC tooling vision and strategy, and clearly articulate the business value so that everyone understands where we are headed Own the roadmap for analyst UX, Rapid Response and Tactical Response tooling, product support and operations, and SOC platform Serve as the primary steward of the shared investigation and evidence model — canvas, queues, triage package — and publish the interface adjacent product teams build on Partner with SOC leadership, analysts, and Tactical Response to turn manual, out-of-product processes into standardized, automation-first internal workflows Take ownership of the Portal Enhancement Kit and drive analyst-built improvements into the native product so the best of internal tooling becomes the best of product Demonstrate an ability to decipher and articulate potentially ambiguous operator needs and mold them into successful, innovative solutions Work with designers, engineers, and architects to create detailed business requirements, epics, and user stories that will be used to shape product specifications and architecture Participate as a key contributor in all phases of product development, from discovery to launch Protect a capacity floor for resiliency and technical debt, and hold the line on it against feature pressure Serve as the intermediary between engineering and senior management and other non-technical stakeholders, with the ability to break down and translate highly technical information into layman's terms and vice versa Work with design and engineering teams to produce mockups, wireframes, and prototypes to assess the validity and strength of a new capability Define and report operational metrics — time-to-close, throughput per analyst, repeatability of delivery — to track and evaluate the success of the strategy What You Bring To The Team: 5+ years of experience in a product management role with past responsibility for cybersecurity products; bonus for MDR or SOAR products Direct experience working in a SOC and building SOC tools and products Demonstrated experience building internal-facing or operator-facing tooling where the users are professionals doing skilled work, not consumers Strong working knowledge of analyst workflows, incident response, and investigation lifecycles - Excellent UI/UX and design skills Prior experience as a security analyst, incident responder, security engineer, or software engineer, or equivalent hands-on depth Experience owning shared services or platform interfaces consumed by other product teams Demonstrated experience designing and delivering products utilizing artificial intelligence tools and technologies, such as Claude or similar Comfort with operational metrics and the ability to make an investment case that is not denominated in new revenue Experience working in an agile development environment using agile development tools Leverage excellent written and verbal communication skills to create epics and stories for engineering that align engineers with intended outcomes Strong creative and critical thinking abilities Mid-market and MSP or MSSP experience is a significant benefit What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: Remote, Global 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 an Engineering Manager to lead the Billing team at Supabase. Billing owns the monetization and revenue systems that turn platform usage into accurate customer charges and finance-ready revenue data. The team’s scope includes plans, subscriptions, usage-based billing, invoices, payments, credits, coupons, taxation, dunning, collections, pricing mechanics, entitlements, marketplace and partner billing paths, and integrations with providers such as Stripe and Orb. Billing sits at the intersection of engineering, product, finance, data, support, and partnerships. The systems are revenue-critical and trust-critical: they must remain correct, predictable, supportable, observable, and extensible as Supabase grows and introduces new products, pricing models, and partner channels. This is a people, delivery, and technical leadership role. We don’t expect managers to contribute production code directly, but we do expect you to participate in architecture and design discussions, challenge plans with sound technical reasoning, and set a high bar for correctness, reliability, and operational maturity. WHAT YOU'LL BE RESPONSIBLE FOR Team & People - Build a healthy, high-trust team culture in a remote-first, globally distributed environment. - Run 1:1s, performance management, career development, and onboarding for your direct reports. - Coach engineers working across backend application code, data pipelines, external integrations, and operational workflows. - Build durable ownership across the team so critical billing knowledge, access, and incident response do not depend on one person. - Handle people administration, including leave and time off, for your team. Hiring - Own the hiring plan for the Billing team and act as Hiring Manager and first-round interviewer for roles on the team. - Partner with Talent Acquisition to source, interview, and close strong candidates with the right mix of billing-domain depth and engineering judgment. - Contribute to headcount planning, org design, and the evolution of engineering leadership at Supabase. Delivery, Roadmap & Partnerships - Own the Billing roadmap and project management in Linear, driving accountability, clear milestones, and predictable delivery. - Balance new pricing and product capabilities with investments in system correctness, resilience, supportability, and technical debt. - Manage workflow intake and Slack triage, deciding what should be routed, prioritized, sequenced, or pushed back on. - Own weekly updates and keep stakeholders aligned without creating unnecessary overhead. - Surface risks, dependencies, tradeoffs, and revenue or customer-impact concerns early and clearly to leadership. Incident Commander - Train as an Incident Commander and lead coordination, resolution, customer-impact assessment, and post-incident follow-up. - Lead blameless post-incident reviews. YOU MIGHT BE A GOOD FIT IF YOU - Have 5+ years of engineering background, with enough depth to be credible with engineers building complex systems. - Have 3+ years managing remote engineering teams. - Have managed a billing engineering team at a cloud, SaaS, or developer tools company. Experience with developer tools or databases is a strong preference, but we'll consider any sufficiently technical background where you can demonstrate the ability to ramp on a new domain. - Have managed remote, globally distributed teams that work asynchronously across disparate time zones. - Are technical enough to be credible with strong engineers, but genuinely passionate about people management. This is the work you want to do, not a track you're settling for. - Build psychological safety and a feedback culture: you give feedback often and in the moment, ask for it back, and create space for the team to do the same. - Operate as a multiplier. Focused on helping individuals achieve more than they could alone, not on being the best technical voice in the room. - Coach rather than direct. Remove blockers, connect people to context and resources, and trust your engineers to own how the work gets done. - Have a real track record of performance management and can speak to specific examples of difficult conversations and how you navigated them. - Are comfortable with ambiguity and capable of building structure where there isn't much. - Communicate clearly and write well. You're default async, default written, set context proactively, and surface risks early. - Are collaborative, low-ego, and adaptable. You thrive working with high-autonomy, senior ICs who have strong technical opinions and don't need to be the smartest person in the room. RELEVANT BILLING DOMAIN & TECHNICAL EXPERTISE You should bring experience across most of the following areas: - Subscription lifecycle and monetization mechanics: plans and packaging, billing cycles, upgrades and downgrades, proration, upfront and in-arrears charges, add-ons, credits, coupons, discounts, refunds, taxes, dunning, collections, disputes, and chargebacks. - Usage-based billing at scale: converting raw product and infrastructure telemetry into billable usage; defining meters and dimensions; applying quotas and pricing; handling late-arriving data; and supporting deterministic reruns, backfills, and reconciliation. - Payments and billing-provider integrations: production experience with Stripe, Orb, or comparable providers, including APIs, webhooks, invoice lifecycle, payment failures, event ingestion, sync engines, rate limits, provider SLAs, and graceful degradation during outages. - Entitlements and pricing enforcement: separating feature access from charging, managing plan defaults and customer-specific overrides, and designing auditable controls that keep product behaviour consistent with commercial agreements. - Cross-functional billing operations: working effectively with Finance, Data, Product, Support, Sales/RevOps, and Partnerships on revenue reporting, customer support, fraud and payment risk, marketplace billing, and new pricing launches. 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.

Задачи: — Руководство повседневной работой портфеля из трёх Shopify приложений с общим ARR около $1.87M. — Координация команды разработчика и тестировщика через полный цикл доставки: от спецификации до выпуска и измерения результатов, включая найм дополнительных подрядчиков. — Совместная постановка дорожной карты, при этом со временем принятие решений по приоритетам становится вашей ответственностью; использование данных Amplitude и Linear для формирования приоритетного бэклога и написания задач. — Аналитика и эксперименты: понимание метрик, проектирование экспериментов и отчётность по их результатам. — Повышение качества пользовательского опыта через улучшение документации, упрощение онбординга и устранение проблем. — Управление соответствием приложения требованиям Shopify API, прохождение проверок App Store и ежегодного обзора Built for Shopify. — Контроль работы службы поддержки, выступление точкой эскалации по продуктовым и инженерным вопросам, управление отношениями с агентством поддержки. — Надзор за платными рекламными кампаниями в Shopify App Store, управление бюджетом совместно с маркетинговым подрядчиком. — Мониторинг и улучшение позиций приложений в рейтингах Shopify App Store. Что не входит в обязанности: — Написание кода (есть разработчик). — Тестирование (есть тестировщик). — Обработка рутинных запросов поддержки (агентство). — Ответы на отзывы (подрядчик). — Фандрайзинг, найм руководителей, участие в совещаниях с заинтересованными сторонами. Области роста: — Переход Easy Lockdown на модель ценообразования на основе использования. — Оптимизация онбординга и активации для Geo:Pro и Easy Lockdown. — Заполнение функциональных пробелов для Geo:Pro и Easy Lockdown. — Повышение рейтингов приложений для улучшения органического продвижения. Условия работы: — Работа с небольшой удалённой командой подрядчиков в разных часовых поясах. — Продукты прибыльные и устоявшиеся, с некоторыми устаревшими кодовыми базами. — Использование аналитического стека: Amplitude, BigQuery, Shopify Partners; требуется знание SQL или умение писать запросы с помощью AI. — Взаимодействие с основателем, который занимается стратегией и крупными решениями, вы управляете повседневной деятельностью. — Режим работы: сначала еженедельные встречи, затем ежемесячные и квартальные планирования, далее автономная работа. Требования: — Опыт успешного управления продуктом или доставкой в небольшой SaaS-команде. — Техническая грамотность: умение писать чёткие спецификации, понимать компромиссы и оценивать сроки разработки без необходимости просмотра кода. — Организованность и проактивность в координации людей и устранении препятствий. — Ориентация на данные: опыт работы с Amplitude, SQL и анализом отзывов клиентов. — Способность работать самостоятельно, управлять приоритетами и брать ответственность без постоянного контроля. — Приветствуется опыт в экосистеме Shopify, ASO, платном привлечении пользователей или росте SaaS. Условия: — Частичная занятость, примерно 15-25 часов в неделю. — Оплата $65-$85 в час в зависимости от опыта. — Возможность работы как по контракту, так и в штате. — Полностью удалённая работа, асинхронный формат, любой часовой пояс. — Начало работы — как можно скорее. Как подать заявку: — Отправьте 3-5 минутное видео Loom с описанием вашего подхода к первым 90 дням работы на email apply@geoproapp.com. — После рассмотрения заявки возможны два этапа интервью перед предложением о работе.