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Location: Yerevan, Armenia Role Purpose The AI Product Stream Lead defines and delivers AI-powered supply chain solutions that solve real customer and operations problems on the Cargoo platform. You own a product stream end to end, from framing where AI creates value (automation, decision support, agents) to shipping it and proving it works in production. You lead a cross-functional team, balancing customer value, technical and data feasibility, AI quality and cost, business priorities and delivery timelines. You also help set how Cargoo builds product in an AI-native way. Key Responsibilities AI Product Vision & Strategy Shape the stream’s product vision and strategy with stakeholders, in line with Cargoo’s AI strategy and customer needs. Identify and prioritize AI opportunities across freight operations (e.g. exception handling, quoting, document processing, planning and execution support) by value, feasibility and risk. Decide where AI should automate, where it should assist, and where a human must stay in control. Own product decisions, balancing customer value, technical feasibility, AI quality, cost, business priorities and delivery timelines. Leadership & Delivery Lead the development team through the whole product lifecycle, from discovery to rollout and adoption. Decide scope, schedule and quality, including when an AI feature is good enough to ship and when it needs another iteration. Run fast discovery loops: prototype with AI tools, validate with real users and data, then commit. Make sure the team meets internal policies, data protection rules and responsible-AI standards (incl. EU AI Act awareness). Product Management & Requirements Create clear Use Cases, Requirements and Business Rules. For AI features, add expected behaviour, edge cases, failure modes and escalation paths. Define success and evaluation criteria for AI features with engineering: accuracy, latency, cost per task and acceptable error rates, backed by representative test sets. Write User Stories and Acceptance Criteria that cover both deterministic logic and probabilistic AI behaviour. Work with engineering and data owners on data readiness: which data we need, its quality, and who owns it. Own and continuously refine the Product Backlog so the team always works on the highest-value opportunities. Track adoption and impact after release (time saved, automation rate, user trust) and feed the learning back into the roadmap. AI-Native Ways of Working Use AI tools every day for research, specs, prototyping, data analysis and feedback synthesis. Help the team and wider product org adopt AI-assisted delivery practices. Candidate Profile Education & Experience 5+ years managing software development projects, strongly preferably as a Product Owner. Proven managerial skills: team leadership, decision-making and conflict resolution. Degree or diploma in Information Technology, Informatics or a related field. Technical Skills (Must Have) Deep understanding of Agile values, principles and frameworks (Scrum, Kanban, Lean) and the ability to apply them well. Strong analytical skills, comfortable working with data to make product decisions. Solid working understanding of how LLMs and AI agents work, what they are good at, and where they fail (hallucinations, non-determinism, cost, latency). Hands-on, daily use of AI tools in your own work. Fluent English, written and spoken. Strong Plus Having shipped at least one AI/ML or LLM-based feature to production. Experience defining evaluation criteria or test sets for AI features. Logistics background or experience with logistics solutions. Experience with data products, workflow automation or decision-support systems. Behavioral Traits Excellent communication with technical and non-technical audiences, including customers, executives, managers and subject matter experts. Able to explain AI trade-offs in plain language. Strong leadership and decision-making, able to guide teams and resolve conflicts. Analytical, structured and value-driven in prioritization. Evidence over hype. Curious and fast-learning, comfortable with ambiguity and quick iteration.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT THIS ROLE MEANS AT HIGGSFIELD Generative video has a problem most subscription businesses don't: every unit we sell costs us real compute. A stolen password costs a streaming service nothing. An account farm on an unlimited generation plan costs us GPU-seconds, at scale, every hour it runs. We have found organised operators running hundreds of accounts on a single card, reselling unlimited generations, and harvesting per-account promotional grants at industrial scale. We have also found that most of our negative-margin accounts are not abuse at all — they are ordinary heavy users on an unlimited plan, which is a pricing problem wearing a fraud costume. Telling those two populations apart, at account level, before the money is gone, is this job. You own the question of who is taking value they did not pay for, and the system that stops them. You make sure: - We catch abuse before the compute is burned, not in a post-mortem that reconciles the loss - Every enforcement action has a measured precision, a measured cost of being wrong, and a way back for the customer we got wrong - The difference between fraud and unprofitable pricing is a number we can defend, not a vibe - When operators adapt — and they will, within days — we find out from a monitor, not from the monthly margin review WHAT YOU WILL DO Detection & scoring - Own the account-abuse scoring system end to end: signals, weights, thresholds, the scoring job, the monitoring, and the recalibration when it decays. - Build detection that fires early. A rule that catches 88% of the money on day 11 is worth far less than one that catches 60% at checkout, and you should be able to say why in dollars. - Work the two halves that actually matter together: linkage (who is connected to whom) and economics (what are they consuming). Either one alone produces a system nobody can switch on — linkage without economics flags families sharing a card, economics without linkage flags our best customers. - Treat cost as a gate, not a label. On an unlimited plan, being gross-margin negative is normal. Entity resolution & ring detection - Find rings, not just accounts: shared payment instruments, IP and ASN concentration, email-stem families, synchronised registration bursts, behavioural fingerprints, automation signatures. - Do it without a reliable device fingerprint — we do not have one today, and part of this job is telling us what it would be worth and what it would cost. - Know where graph methods break. Transitive closure through a shared card will happily merge thousands of unrelated people into one "ring"; we have done exactly that and thrown the result away. Enforcement, policy & the cost of being wrong - Design graduated, reversible actions — throttle, rate-limit, step-up verification, hold, pre-grant refusal, manual review queue, ban — and match the severity to the confidence. - Own the false-positive budget explicitly: how many paying customers are we willing to inconvenience to save a dollar of compute, and what is the appeal path for the ones we get wrong. - Build the pre-grant gates. The cheapest abuse to stop is the kind we decline to enable in the first place — a trial we do not grant costs nothing to claw back. - Partner with Payments on Stripe Radar, chargebacks and dispute economics; with Support on the queue your model creates; with Legal on what our Terms actually entitle us to do. Measurement & adversarial monitoring - Quantify what the system is worth in money — COGS avoided, net of the revenue you destroyed and the support cost you created. Keep that number current. - Run holdouts even on enforcement, wherever it is legal and safe to do so, because otherwise you will never know what your rules are worth. - Monitor for adaptation, not just drift. Model decay here is caused by an adversary, and it looks different: a signal stops firing, a ring changes shape, a cohort's behaviour shifts inside a week. - Watch your own inputs. A detection system that silently loses a feature degrades to a system that cannot reach its own threshold — and reports nothing wrong while doing it. Making it usable - Ship scores and reasons, never scores alone. An analyst, a support agent or an auditor must be able to read why an account was actioned. - Produce evidence that survives outside the company. Our abuse work has already been used in an external audit and in Terms-of-Use enforcement; write for that standard. - Work in SQL, Python and BigQuery on raw event, payment and generation data. We use AI heavily — resourcefulness beats syntax. WHO WE'RE LOOKING FOR - Experience building abuse, fraud or trust-and-safety detection that actually took action on real users — payments fraud, promo abuse, multi-accounting, bonus abuse, account takeover, marketplace or gaming abuse. Anti-money-laundering and credit-risk backgrounds transfer if the modelling was yours. - Genuine understanding of the adversarial setting: that your counterparty responds, that your training labels are generated by your own past decisions, and that offline AUC on a censored label set is close to meaningless. - Strong SQL and Python on raw event data without help: joins across payments, usage and identity, window functions, cohort replay. Gradient boosting, and the judgment to know when a two-condition rule beats a model. - Comfort with graph and linkage thinking — connected components, shared-attribute clustering, and an instinct for when a link is evidence and when it is coincidence. - Precision-first evaluation instincts: precision at the operating point, cost-weighted error, and why you would take 20% recall at 90% precision over the reverse in an enforcement system. - Unit-economics literacy: gross margin per account, what compute actually costs us, why a negative-margin customer may be entirely legitimate. - The judgment to escalate rather than act when the evidence is thin, and to say so in writing. - Clear written and spoken English, B2+. Backgrounds that often do well: - Fraud / risk data scientists from fintech, payments, marketplaces, gaming or crypto - Trust & safety and platform-integrity teams who owned detection and enforcement policy - Growth or product data scientists who ended up owning promo-abuse because nobody else would - Analysts from payment processors, PSPs or chargeback/dispute operations who moved into modelling WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to build content-moderation or NSFW classification — that is a different function here - Would ship a ban list without knowing its precision - Optimize AUC on a label set your own enforcement created, and call it validated - Need a labelled fraud dataset to exist before you can start - Treat every negative-margin account as an abuser - Are uncomfortable that being right 90% of the time means being wrong about real, paying, legitimate people — and that you own what happens to them - Want predictable 9–5 workdays HIRING PROCESS - Screening call (30 min) - Hiring-manager screen (30 min) - Business case (1 hour) - Take-home with real-shaped data (7 days, ~10–12 hours of work) - Team interview (60 min) - Paid on-site trial (1 month) THE DEAL - Competitive salary in USD - Equity: participation in the company's stock option program - On-site role in Almaty, Kazakhstan - Relocation support (flight + temporary housing) - Flat structure, high autonomy, fast career growth

Location: Remote Workplace: Remote About Prefect Prefect builds automation for an unpredictable world. The last decade of automation was about protecting workflows from unpredictability; in the agentic era, unpredictability is the point. Our mission is to give people confidence in automated work, whether that work is a mission-critical data pipeline or a fleet of AI agents. In August 2026, Prefect and Dagster, competitors for eight years, joined forces to build the next generation of automation infrastructure. Today, our ecosystem includes Dagster, the data platform; Prefect, the agent platform; and FastMCP, the leading open-source developer framework for the MCP ecosystem. Together, our open-source and commercial products are trusted by Fortune 500 companies, data innovators, and high-growth technology companies around the world. We think of our culture as the operating system of the company. We’ve carefully created a supportive, high-performance environment that empowers our team to do the best work of their careers, have meaningful impact, and continue growing personally and professionally. We’re a remote-first team that values high standards, ownership, and thoughtful collaboration. ROLE SUMMARY Developer Success is the technical support function for Prefect's customers across the Prefect and Dagster product lines. Its mission is to resolve customer technical issues with the least possible customer effort, and to prevent those issues from recurring. We are hiring a Developer Success Engineer to work the combined Prefect and Dagster support queue. You will diagnose and resolve technical issues in customer environments, own each issue through resolution, and contribute to the documentation, tooling, and product feedback that reduce future volume. You will be trained on both Prefect’s and Dagster’s products. The team is investing in agent-based automation for routine support work, which is moving the engineering focus toward complex diagnosis and escalation. This role is well suited to an engineer who wants to build deep expertise in orchestration and data platform environments and apply it directly with customers. WHAT YOU'LL DO - Clear the failure state, and prevent the next one. Diagnose problems across Prefect and Dagster installations, integrations, deployments, and the cloud and container environments they run in. Find the underlying "why" so your first response resolves the question and pre-empts the follow-ups. Turn what you learn into docs, debugging resources, and tooling that deflect repeat submissions. - Own what's ours; say no clearly to what isn't. Take full accountability for root causes inside our products' domain of control. For problems outside our Scope of Support, issue a principled no that still gives the customer a way forward. Helplessness erodes trust as fast as a wrong answer. - Support your findings, and ask customers to support theirs. Back every diagnosis with evidence and logic. Assume the customer is the expert on their own stack, ask for what you need to troubleshoot both sides of an issue, and explain why you need it. Leave room for the possibility you've missed something. - Give the best possible update every time, and say so when you're still building it. A half-baked answer sent fast is worse than a complete one sent when it's ready; but radio silence is worse than both. When an issue needs to be escalated, you stay the customer's single point of contact, keep them updated on a regular cadence, and close the loop. - Feed the product. File reproducible product issues and surface recurring failure patterns to Engineering and Product. You'll work the queue independently on day-to-day issues and own moderate-complexity problems end to end, including investigations across a customer's cloud environment. You'll ask when the Scope of Support or an escalation path is unclear, and you'll build the judgment to recognize when an issue belongs with Customer Engineering or a CSM instead. We measure the role on Customer Effort Score and resolution time, held in tension: a fast answer that costs the customer effort isn't a good one. Coverage is 9am to 5pm Pacific, with an on-call rotation shared across the team. YOUR QUALIFICATIONS Must have: - Python fluency at the level of reading and debugging someone else's code, not only writing your own. - Hands-on experience running workloads in at least one major cloud and in containers or Kubernetes, enough to troubleshoot a deployment you didn't build. - Experience with a workflow orchestrator (Prefect, Dagster, Airflow, or comparable) and a strong interest in the data engineering space it lives in. - A track record of technical, customer-facing work: support, solutions engineering, developer relations, or similar. - Clear enough written communication to explain a root cause to a skeptical senior engineer and earn their trust. Nice to have: - Direct experience with Prefect or Dagster specifically. - A history of open-source contribution, in any project. - SQL and data warehouse familiarity. - Experience building support tooling or automation. WHAT TO EXPECT This is a support role. There's a queue, a Scope of Support, and an on-call rotation, and the first job is always the failure state in front of you. If a defined scope and a real customer on the other end of every problem sounds like the point, this is the role. While engineers on this team do contribute code and take on consultative work, the queue comes first. Those opportunities will progressively open up as the agent tooling absorbs the formulaic work. WHAT YOU'LL GET IN RETURN Base Salary Ranges: - San Francisco Bay Area & NYC Metro: $149,000–$176,000 - Washington D.C., Boston, LA Metro, Seattle: $136,000-$165,000 - Denver, Chicago, Atlanta, & all other U.S. metros: $128,000–$150,000 Actual base salary within each range depends on the candidate's location, experience, and qualifications. Please keep in mind that equity and benefits are not included in the range provided above. Your recruiter can share more about the salary range for your preferred location during the hiring process. Perks and Benefits: - Remote-first team with flexible-first culture - Equity Stock Options - 401(k) with 5% company match (vests immediately!) - Unlimited PTO - Medical, Dental and Vision insurance - Generous Parental Leave - Life Insurance and Disability benefits - $800/month remote work stipend And that's just the start — for more info check out our benefits and perks on our careers page. BELONGINGNESS AT PREFECT: Belongingness at Prefect is our commitment to ensuring mutual power, access, and opportunity among all groups and individuals who make up our community. We operationalize belongingness through actions large and small on a daily basis, but always with the goal that all groups and individuals can contribute as their most authentic self to the evolution of our product, our team, and our community. Belongingness is also our commitment to bridge with individuals or groups not yet established in our community, acknowledge differences in a way that affirms distinct identities, and allows for a new, more expansive group identity to form. EQUAL OPPORTUNITY AT PREFECT: Prefect is an equal opportunity employer and encourages applications from people of all backgrounds. All applicants will be considered for employment without attention to race, religion, color, sex (including pregnancy, sexual orientation and gender identity/expression), national origin, disability or any other status protected under applicable federal, state, or local laws. Delaney is a real live person (👋🏻) and is looking forward to learning more about you through your application.

Location: Global Workplace: Remote TL;DR: We're hiring a DevRel Lead to make White Circle the AI safety platform engineers and researchers actually want to build with. You'll own how we show up to technical audiences: shipping technical content, running hackathons and meetups, launching open-source tools like Halo, and building partnerships across the AI ecosystem.   ABOUT WHITE CIRCLE White Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over one hundred million API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need.   WHAT YOU'LL DO - Own White Circle's developer relations: how engineers and AI researchers discover, understand, and adopt what we build - Lead technical launches for open-source releases and developer tools, like our Halo framework, from narrative and demos through to launch day - Write and publish technical content: blog posts, tutorials, walkthroughs, demos, and threads on X and LinkedIn - Organise and run hackathons, meetups, and technical events, mainly in SF and New York - Build and grow a technical community around our open-source work and platform - Set up and run technical partnerships and collaborations with AI labs, dev tools companies, and research teams - Give technical input to promo and product videos, working with our design and creative team on production - Track what's working (signups, repo stars, views, event turnout, hiring pipeline) and double down on it WE'RE LOOKING FOR SOMEONE WHO - Has a strong technical background as a software engineer, ML engineer, or researcher - Has worked at a technical product company, ideally in dev tools, infrastructure, databases, or AI - Has organised hackathons, meetups, or technical events, and can show how they went (turnout, signups, what came out of them) - Has an engaged following among engineers and/or AI researchers on X, LinkedIn, GitHub, or elsewhere - Knows the AI tooling landscape well: coding agents, eval frameworks, open-source models, and who is building what - Can take a complex technical topic and make it compelling for a developer audience without dumbing it down - Thrives with ownership and moves fast without waiting for direction - Is based in the US, or able to work US hours. SF or New York is ideal, but we'll consider exceptional candidates anywhere - Is fluent in English A BIG PLUS - You've led developer marketing or DevRel for a technical launch that drove real adoption - You've contributed to or maintained popular open-source projects - You have existing relationships across the AI research and developer community - You've worked on or around AI safety, evals, or reliability COMPENSATION & BENEFITS - Competitive compensation package, including equity - Flexible time off - Health insurance - Mental health support, including coverage for therapy when you need it - 401(k) retirement plan - Learning and development support for courses, conferences, and opportunities to grow your skills - All the hardware, subscriptions, tools, and services you need - Team off-sites twice a year: we’ve recently been to the Alps, Saint-Tropez, and Marbella PROCESS 1. Intro call with Talent (25 min) 2. Take-home assignment, with a choice of a walkthrough of one of our public repos or a launch case study on a sample company 3. Technical chat with Head of Design & Head of Applied Research (45 min) 4. Final conversation with CEO & Head of Engineering (45 min)

Требования: — Коммерческий опыт разработки на Python — Хорошие знания и практический опыт с одним из фреймворков FastAPI, Django, Flask — Уверенное понимание SQL/NoSQL баз данных и опыт работы с PostgreSQL — Опыт интеграции с OpenAI API / LLM / AI agents — Разговорный английский язык C1 (вся коммуникация с заказчиками ведется на английском языке) — Понимание принципов разработки, алгоритмов и структур данных — Опыт работы в команде — Опыт прохождения собеседований на английском языке Будет плюсом: — Опыт работы с облачными провайдерами AWS, Azure, GCP — Знания Frontend технологий JS, React, Redux — Опыт написания Data Pipelines Проекты англоязычные, поэтому важен уровень разговорного английского.

Location: New York; San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We're hiring a Social Content and Community Manager to shape how Harvey shows up in the feed and in the conversations that happen around it. You'll turn launches, product news, and company thinking into sharp, native content across our owned channels and our employees' channels. When we amplify a moment, it should land everywhere our people and audiences are. You'll also own Harvey's social communities day to day. That means managing DMs, comments, and mentions; moderating and growing our community spaces; sending questions and opportunities to the right teams; and starting conversations that draw people toward Harvey. This role combines craft and community. It's for someone who writes fast and well, runs engaged communities with care and good judgment, and understands that on social, the caption, the reply, and the timing are the work. WHAT YOU'LL DO - Write scroll-stopping copy for Harvey's owned channels (LinkedIn, Instagram, X, and emerging platforms), tuned to what performs on each. - Write copy for employee and advocacy channels to power company amplification. Give the team ready-to-post language that makes company moments land while keeping a consistent Harvey point of view. - Turn a single launch or announcement into a set of channel-native posts, threads, and replies that work together across audiences. - Work closely with the Social Manager to plan, draft, and deliver social creative and campaign content. - Keep a steady content calendar that balances planned campaigns with timely, real-time posts. COMMUNITY MANAGEMENT - Own the social inbox: monitor and respond to DMs, comments, and mentions across Harvey's channels quickly, warmly, and with good judgment. - Build and maintain response guidelines, tone standards, and saved replies for common questions so Harvey's voice stays consistent at scale. - Set up and run triage and escalation paths. Route customer support issues, sales inquiries, press requests, partnership opportunities, and sensitive or legal matters to the right internal teams, and close the loop. - Moderate Harvey's social communities and comment sections. Enforce community guidelines and deal with spam, trolling, and negative sentiment calmly and consistently. - Proactively join relevant conversations across the legal, legal tech, and AI communities to build relationships, raise Harvey's profile, and spot opportunities. - Find, engage, and grow a network of customers, advocates, and creators. Highlight their stories and user-generated content where appropriate and approved. - Run social listening to track brand mentions, sentiment, competitor activity, and emerging trends, and share key insights with Marketing, Product, Comms, and Customer Success. - Act as the first line of defense on social for brand safety. Flag potential issues early and help carry out response plans during sensitive or fast-moving moments. MEASUREMENT AND OPTIMIZATION - Track and report on content performance and community health, including engagement, response times, sentiment, follower growth, and conversation volume. - Use performance and engagement data to sharpen content, hooks, and response approach over time. - Share recurring themes from the community, such as questions, feedback, and pain points, to inform content strategy, product messaging, and FAQs. WHAT YOU HAVE - 3+ years in social content, community management, or a similar role, ideally at a high-growth tech, AI, or legal-focused company, or in a fast-moving brand or agency environment. - Exceptional short-form writing and editorial judgment, with a portfolio of content and community engagement that earned attention. - Hands-on experience managing a brand's social inbox and online communities, including moderation, escalation, and response workflows. - A real feel for internet culture, online communities, and what makes content and conversations travel. - Range as a voice chameleon: you can write as the brand and for employees without losing the through-line. - Comfort living in the replies and handling DMs, comments, and mentions with speed, warmth, and good judgment, including difficult or sensitive exchanges. - Sound judgment about confidentiality, customer privacy, and when to escalate rather than respond. - Ability to move quickly on real-time moments while keeping quality and brand safety high. - Strong organization and follow-through. You can manage a high volume of conversations and requests without dropping threads. - Experience with social management, scheduling, and listening tools (e.g., Sprout Social, Hootsuite, Brandwatch, or similar). - Comfort using analytics and engagement data to decide what you write and how you engage next. - A collaborative approach and experience working across Marketing, Comms, Customer Success, Sales, and Legal. NICE TO HAVE - Experience in legal tech, enterprise SaaS, or similar B2B spaces. - Background in copywriting, journalism, or editorial. - Experience running an engaged personal or brand account. - Experience building or managing a professional community, advocacy program, or creator/ambassador program. - Experience supporting crisis or issues management on social. - Interest in AI and responsible communication. COMPENSATION $112,000 - $154,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-LR1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. About the Role We are at an inflection point where AI is fundamentally reshaping what products can do and how users experience them. We're not just looking for a product manager — we're looking for a hybrid product builder who truly understands AI capabilities and can translate technical potential into real user value. You will lead end-to-end product design for LLM / Agent-powered applications — from zero to one — across domains including intelligent customer service, personalized recommendations, AI assistants, and automated workflows. You are the critical connector between user insights, AI technical capabilities, and business objectives: someone who can discuss RAG retrieval strategies and multi-agent orchestration with ML engineers, while clearly articulating product value and delivery roadmaps to business stakeholders. If you have genuine passion for AI-native products and the ability to define clear product direction amid ambiguity and rapid change, we'd love to build the next generation of AI applications together. Key Responsibilities End-to-End AI Product Lifecycle Management Own the full product lifecycle of AI applications — including intelligent chatbots, AI assistants, recommendation systems, and automated workflows — from requirements definition and product design through to launch and delivery. Produce high-quality PRDs, interaction flow diagrams, and acceptance criteria while driving cross-functional teams to execute efficiently. LLM / Agent Capability Productization Deeply engage in Agent product design, including task planning workflows, tool-calling strategies (Function Calling / MCP), context management mechanisms, multi-agent orchestration logic, and graceful failure/fallback handling. Translate underlying model capabilities into meaningful, perceivable user value. AI Evaluation Framework & Quality Standards Build Harness evaluation frameworks for AI products — designing test scenario sets, evaluation metric systems (accuracy, hallucination rate, task completion rate, etc.), and regression test case libraries. Independently assess AI capability boundaries and drive continuous model iteration and product quality improvement. Conversational Product Design & Knowledge Engineering Lead platform architecture planning for intelligent customer service and conversational assistant products, covering knowledge base structure design, dialogue flow and SOP design, corpus annotation and training strategy, intelligent reply generation, and case summarization. Leverage large-scale data analysis to continuously optimize conversation quality and issue resolution rates. Personalization Engines & Generative UI Products Collaborate deeply with ML and data teams to design recommendation strategies that deliver truly personalized, individualized user experiences. Define generative UI product requirements and drive growth in core business metrics including CTR, conversion rate, and user retention. Establish comprehensive attribution analysis frameworks for recommendation effectiveness. AI Capability Integration with Business Scenarios Develop a thorough understanding of business goals and user pain points. Proactively identify opportunities to apply AI technologies — including RAG, Prompt Engineering, and multimodal capabilities — to concrete use cases. Define clear product evolution roadmaps that balance technical feasibility, user experience, and commercial value. Cross-Functional Collaboration & AI-Native Product Culture Act as the product Owner in close collaboration with algorithm, engineering, data, design, operations, and business teams. Maintain a strong sense of ownership in a fast-moving AI-native environment, continuously track industry developments, and rapidly translate emerging AI capabilities into product innovation opportunities. Requirements Product Experience : 3+ years of product management experience, with at least 1 year of direct hands-on experience delivering AI application products, AIGC products, or Agent products. Must have fully shipped at least one AI-related feature module or standalone product. AI Technical Understanding : Deep understanding of the productization of mainstream AI technologies, including but not limited to: LLM Prompt Engineering, RAG (Retrieval-Augmented Generation) architecture, Agent fundamentals (tool calling / task planning / context window management), and conversational system design. Ability to independently evaluate the product feasibility of technical proposals. Evaluation & Data Capabilities : Proven ability to design AI product evaluation frameworks — independently defining evaluation metrics, building test case sets, and tracking product performance through data analysis. Familiarity with A/B experiment design and a strong data-driven decision-making mindset. Documentation & Communication Skills : Ability to write structured, logically rigorous PRDs, technical requirement documents, and flow diagrams. Excellent cross-functional communication skills with the ability to accurately bridge information between technical and business teams, eliminating information gaps. User Insight & Product Thinking : Sharp ability to translate ambiguous user needs into clearly defined product requirements. Skilled at finding the right product balance between AI capability boundaries and user expectations — avoiding both overpromising and underutilizing model capabilities. Learning Agility & Ownership Mindset : Sustained enthusiasm and capacity for continuous learning in a rapidly evolving AI landscape. Strong sense of ownership — able to proactively define problems, drive decisions, and take accountability for outcomes in highly ambiguous environments. Nice to Have Familiarity with cutting-edge AI engineering practices including MCP ( Model Context Protocol ), Function Calling, and multi-agent orchestration frameworks (e.g., LangChain / AutoGen / CrewAI), enabling deep technical dialogue with engineering teams. Experience with AI Harness / Eval / Benchmark platform product design or usage, with involvement in establishing and maintaining LLM evaluation systems. Background in Fintech / e-commerce / SaaS industries, with an understanding of the unique product design requirements for AI in high-concurrency, compliance-sensitive environments. Bilingual fluency in Chinese and English (spoken and written), with the ability to independently drive product collaboration and cross-cultural communication within international teams. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Задачи: — развитие клиентского frontend и admin panel — проектирование и реализация новых фич end-to-end: от технического решения до релиза — работа с React, TypeScript, Node.js — SSR, prerendering, BFF — интеграции с Go-backend — WebSocket, SSE — white-label / multi-theme архитектура — runtime config, design tokens — unit и integration tests — code review и участие в технических решениях Требования: — 3-4+ года коммерческой разработки — сильный React и TypeScript — JavaScript, HTML/CSS, adaptive / cross-browser — state management: Redux, Zustand, MobX или аналоги — понимание HTTP, REST, базовые знания SQL — Git, CI/CD — frontend security: XSS, tokens, validation — умение проектировать решения, читать и ревьюить чужой и AI-generated code Будет плюсом: — опыт с white-label / multi-tenant продуктами — знание design systems / theme systems — опыт работы с Figma → code / design tokens — знание Go — опыт в fintech, crypto, Web3 — понимание agentic workflows, MCP, AI в CI Условия: — полностью удалённая работа — полная занятость — зарплата $2500-3000 — минимум бюрократии и микроменеджмента — много новых продуктовых задач — влияние на архитектуру и продукт — компания оплачивает AI-инструменты

Задачи: — Проектировать и развивать LLM/AI-системы и AI-агентов; — Строить многошаговые agentic workflows: routing, tool calling, state management; — Работать с Prompt Engineering и Context Engineering; — Управлять контекстом, памятью и состоянием диалога; — Реализовывать structured output и function/tool calling; — Строить RAG-пайплайны: chunking, embeddings, retrieval, reranking; — Интегрировать LLM с API, базами данных и внутренними сервисами; — Разрабатывать backend-сервисы на Go и AI-компоненты на Python; — Исследовать новые модели и подходы, быстро проверять гипотезы; — Выбирать модели с учетом качества, latency и стоимости; — Строить систему оценки качества: evals, regression tests, golden datasets, LLM-as-a-judge; — Анализировать логи и traces, улучшать качество и стабильность агентов; — Реализовывать retries, fallbacks, timeouts и обработку ошибок; — Доводить решения от прототипа до стабильного production. Требования: Go: — production-сервисы; — REST/gRPC API; — concurrency; — работа с БД; — микросервисная архитектура. Python: — AI-сервисы и backend; — async; — API; — обработка данных; — быстрое прототипирование. Также важно: — Практический опыт разработки production-приложений с LLM; — Понимание архитектуры современных AI-систем: prompt → context → tools → agent → state → evaluation; — Опыт Prompt Engineering: system prompts, few-shot, prompt chaining, structured output; — Опыт Context Engineering: memory, summarization, динамическая сборка контекста; — Опыт создания AI-агентов и agentic workflows; — Работа с LLM API и понимание особенностей разных моделей; — Понимание RAG: embeddings, vector search, retrieval, reranking, hybrid search; — Понимание evals, regression testing и анализа production-логов; — Опыт с PostgreSQL, MongoDB, Redis, Docker, Git, CI/CD; — Понимание production-подходов: observability, scalability, latency, retries, fallbacks и контроль стоимости. Будет плюсом: — Multi-agent системы; — LangGraph; — MCP; — Langfuse / LangSmith; — Elasticsearch / OpenSearch; — Open-source LLM: Qwen, Llama, DeepSeek и др.; — vLLM / Ollama; — Kafka / RabbitMQ; — Kubernetes; — Оптимизация token usage, latency и стоимости LLM; — Guardrails и защита от prompt injection; — Highload-системы. Ищем инженера, который воспринимает LLM не как простой API, а как компонент большой production-системы. Важно уметь проектировать всю логику вокруг модели: какие данные передать в контекст, какого агента или инструмент вызвать, как проверить результат, обработать ошибку и определить следующий шаг. Ищем software engineer с сильной AI/LLM-экспертизой, который умеет не только написать хороший промпт, но и довести всю систему до стабильного production-решения.

Задачи: — Проектировать и развивать LLM/AI-системы и AI-агентов; — Строить многошаговые agentic workflows: routing, tool calling, state management; — Работать с Prompt Engineering и Context Engineering; — Управлять контекстом, памятью и состоянием диалога; — Реализовывать structured output и function/tool calling; — Строить RAG-пайплайны: chunking, embeddings, retrieval, reranking; — Интегрировать LLM с API, базами данных и внутренними сервисами; — Разрабатывать backend-сервисы на Go и AI-компоненты на Python; — Исследовать новые модели и подходы, быстро проверять гипотезы; — Выбирать модели с учетом качества, latency и стоимости; — Строить систему оценки качества: evals, regression tests, golden datasets, LLM-as-a-judge; — Анализировать логи и traces, улучшать качество и стабильность агентов; — Реализовывать retries, fallbacks, timeouts и обработку ошибок; — Доводить решения от прототипа до стабильного production. Требования: Go: — production-сервисы; — REST/gRPC API; — concurrency; — работа с БД; — микросервисная архитектура. Python: — AI-сервисы и backend; — async; — API; — обработка данных; — быстрое прототипирование. Также важно: — Практический опыт разработки production-приложений с LLM; — Понимание архитектуры современных AI-систем: prompt → context → tools → agent → state → evaluation; — Опыт Prompt Engineering: system prompts, few-shot, prompt chaining, structured output; — Опыт Context Engineering: memory, summarization, динамическая сборка контекста; — Опыт создания AI-агентов и agentic workflows; — Работа с LLM API и понимание особенностей разных моделей; — Понимание RAG: embeddings, vector search, retrieval, reranking, hybrid search; — Понимание evals, regression testing и анализа production-логов; — Опыт с PostgreSQL, MongoDB, Redis, Docker, Git, CI/CD; — Понимание production-подходов: observability, scalability, latency, retries, fallbacks и контроль стоимости.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 We're looking for a Senior Technical Account Manager - Customer Success to act as a strategic partner and trusted advisor to our customers, blending strong relationship management with a deep understanding of ClickUp’s platform and capabilities. This role sits at the intersection of customer success, solution strategy, and technical enablement, supporting long-term growth, adoption, and measurable business outcomes.   Senior Technical Account Manager - Customer Success at ClickUp lead with a customer-first mindset, developing success plans, guiding onboarding and adoption, and ensuring stakeholders see continuous value throughout their lifecycle. While you’ll support technical initiatives like process optimization, workflow design, and AI enablement, you’ll also own the overall health, engagement, and strategic direction of your accounts. You’ll work cross-functionally with Sales, Product, and Support to align efforts and ensure each customer’s success story is long-term, scalable, and impactful.   Senior Technical Account Manager - Customer Success at ClickUp are responsible for delivering measurable value and driving meaningful business outcomes across their customer portfolio by focusing on: - Customer Enablement & Onboarding: Guiding new teams through implementation, onboarding, and training to ensure a smooth start and foundational success. - Account Health & Engagement: Proactively managing user adoption, stakeholder alignment, and account health to promote long-term success, retention, and growth opportunities. - Process Optimization & Solution Design: Collaborating with customers to identify critical business processes, map them to scalable solutions, and drive efficiency through ongoing refinement and performance insights. - Innovation Adoption & Workflow Automation: Empowering customers to leverage emerging features and technologies, including AI and automation, to enhance productivity, streamline operations, and deliver real-world impact. CORE RESPONSIBILITIES Senior Technical Account Manager - Customer Success at ClickUp act as the strategic and technical owner of the customer relationship, ensuring every customer achieves measurable success through ClickUp product and AI feature set.   - New Customer Onboarding - Lead or support the end-to-end onboarding and implementation of ClickUp, from discovery and solution design to training and go-live support. - Translate functional and technical requirements into scalable ClickUp solutions, including workflows, templates, hierarchies, and automations. - Guide customers through foundational setup, integration, and enablement, while promoting best-practices and system governance and change management. - Account Health Management - Monitor seat utilization, adoption trends, and Champion/Stakeholder engagement. - Build and execute adoption plans and account reviews to maintain or improve health. - Identify risks early and build recovery plans in partnership with the account team. - Deliver ongoing change management and enablement, ensuring customers continue to evolve and mature with the platform. - Workflow Mapping (IER Framework) - Conduct Intake → Execution → Reporting (IER) cycles for key workflows. - Lead discovery sessions to map current-state vs. future-state processes. - Recommend optimizations and create workflow templates to scale across teams. - AI Enablement & Agent Deployment - Drive adoption of ClickUp AI and build custom workflow Agents tied to customer use cases. - Partner with customers to define and deliver new AI automations that align with business KPIs. - Provide technical training and consultation on AI and automation best practices, including prompt design, agent architecture, and scaling use cases across teams. - Track and report AI usage and credit consumption against plan. - Customer Success & Expansion - Serve as the technical partner to assigned accounts, connecting adoption to business value. - Generate qualified leads through data-driven insights and AI usage analysis. - Drive cross-functional alignment to position renewals, expansions, and AI upsells. - Cross-Functional Collaboration - Act as the voice of the customer, translating business objectives and pain points into actionable insights for Product, Engineering, and Support. - Partner with account teams to maintain alignment between delivery and success.   CORE SKILLS & COMPETENCIES - Technical Acumen: Deep understanding of ClickUp platform capabilities, automation logic, integrations, and AI Agent functionality. Able to translate business needs into technical solutions. - AI Expertise: Familiar with generative AI concepts, prompt design, and automation frameworks. Skilled at identifying and scoping AI use cases and consumption plans. - Consultative Discovery: Exceptional at workflow analysis, process design, and identifying friction points. Uses structured discovery to map customer needs into ClickUp. - Project and Program Management: Ability to manage complex customer programs with multiple stakeholders, deadlines, and outcomes. Skilled at running structured account plans. - Data and Reporting: Comfortable using dashboards and metrics to communicate health, adoption, and ROI. Interprets usage data to drive recommendations. - Customer Engagement: Executive presence and strong communication skills. Builds trust at both ATL and BTL levels through credibility and clarity. - Account Ownership: Full accountability for assigned book of business: proactive, organized, and driven to achieve measurable outcomes. - Collaboration and Influence: Works cross-functionally with account team, Product, and Sales to align on outcomes. Influences without authority through insight and results. #LI-NMR #LI-Remote Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Bengaluru, India We are looking for a Senior AI Quality Engineer (L3+) with strong Python skills and hands-on experience testing AI and ML systems. You will analyze requirements, define evaluation strategies, build automated checks, validate models and outputs, test APIs and data pipelines, verify defects through resolution, and contribute to release readiness for your assigned product area. You will both evaluate AI systems and design, build, and operate QE agents for the software testing life cycle. AI-assisted work is part of everyday QE practice on this engagement, with Ragas, DeepEval, promptfoo, Cursor, and other AI and ML tools used for evaluation, scripting, test generation, analysis, and maintenance. You will also build golden datasets, calibrate LLM-as-judge methods, test agentic workflows and RAG systems, implement self-healing and intelligent test approaches, and diagnose quality, safety, performance, and cost failures across distributed AI services. This position is intended for Hyderabad-based candidates who are available to work from the office. The client delivers AI agents, retrieval systems, models, and data pipelines across a broad technology landscape. Quality is part of delivery through evaluation gates, automated regression, model and data validation, security and privacy checks, and evidence that a release is ready. Python is the primary language for AI evaluation, model validation, API testing, data-pipeline quality, and QE agent design. The role combines deterministic automation with probabilistic evaluation to assess AI behavior across models, data, retrieval, tools, and integration surfaces, and designs and operates agents that support the software testing life cycle. Analyze requirements and define evaluation strategies, golden datasets, regression benchmarks, baselines, thresholds, and blocking metrics with domain-expert review. Design, build, and orchestrate AI agents, persona-based workflows, and reusable skills for the STLC using LangChain, LangGraph, or Semantic Kernel. Build automated evaluations and benchmarks for LLMs, agents, RAG, retrieval, tool trajectories, and contracts using Ragas, DeepEval, and promptfoo. Calibrate LLM-as-judge against human grading, manage non-determinism through repeated runs, and detect regression and drift. Write and maintain Python and pytest automation for AI, ML, API, data, and integration workflows. Use Cursor and agentic tools to analyze requirements, generate and review tests, and maintain evaluation suites. Validate deep-learning, reinforcement-learning, and predictive models using LangChain. Build AI-assisted STLC workflows for requirements analysis, test design, script generation, execution, self-healing, failure analysis, and defect triage, plus intelligent test selection and defect prediction. Integrate LLMs, APIs, embeddings, vector databases, retrieval pipelines, and enterprise data sources into QE frameworks using Python. Test REST and streaming APIs, agent tools, and RAG and MCP integrations, including authentication, errors, retries, and recovery. Test data and retrieval pipelines for schema integrity, lineage, idempotency, fallback, promotion gates, and rollback. Integrate evaluations, benchmarks, and agent workflows into QE frameworks and CI/CD on GitHub Actions, review Allure results, and keep TestRail aligned with automated coverage. Test prompt injection, jailbreaks, unsafe tool use, data exfiltration, access control, PII controls, and guardrails. Measure accuracy, relevance, groundedness, hallucination, retrieval quality, agent reliability, latency, throughput, token use, and cost, and diagnose distributed failures. Implement tracing, monitoring, and production evaluation using Langfuse, LangSmith, or a comparable AI observability platform. Deploy and operate QE agents on Amazon Bedrock AgentCore or a comparable agent platform, with governance and human oversight. Deploy and validate AI and ML solutions on AWS or Azure, including secrets, database services, and cloud-native test infrastructure. Report, track, and verify defects in Jira, and work with domain experts, product, and engineering on traceable coverage and untested scope. Contribute to release readiness for the assigned product area without owning sign-off for the whole team. Strong Python proficiency with pytest for test and evaluation automation. Hands-on experience building and orchestrating AI agents and agentic workflows with LangChain, LangGraph, Semantic Kernel, or comparable frameworks. Hands-on experience building AI evaluations and benchmarks with Ragas, DeepEval, promptfoo, or equivalent tools. Hands-on use of Cursor or agentic development tools for test generation and maintenance. Experience defining AI evaluation strategies, golden datasets, regression benchmarks, and LLM-as-judge calibration, including non-determinism and drift. Experience validating deep-learning, reinforcement-learning, and predictive models with LangChain. Experience building AI-assisted STLC workflows for requirements analysis, test design, script generation, execution, self-healing, failure analysis, defect triage, intelligent test selection, and defect prediction. Experience integrating LLMs, APIs, embeddings, vector databases, and retrieval pipelines with automation frameworks in Python. Experience testing REST and streaming APIs, agent tools, RAG workflows, and MCP integrations. Experience testing data and retrieval pipelines for correctness, lineage, and safe promotion. Experience integrating AI evaluation and agent workflows with automation frameworks and CI/CD using GitHub Actions, Allure, TestRail, or equivalent tools. Experience testing AI security, privacy, access control, and guardrails. Experience measuring accuracy, relevance, groundedness, hallucination, retrieval quality, agent reliability, latency, throughput, token use, and cost, and diagnosing distributed failures. Experience with AI tracing, monitoring, and production evaluation using Langfuse, LangSmith, or comparable tools. Familiarity with AWS, Azure, or GCP cloud AI services and agent platforms for deploying and validating AI and ML solutions. Experience deploying and operating agents on Amazon Bedrock AgentCore or a comparable agent platform, with governance and human oversight. Experience managing defects through resolution in Jira or an equivalent tool. Ability to work with domain experts, product, and engineering on ground truth and coverage gaps. Experience contributing to release readiness for an assigned product area. Playwright and TypeScript experience for UI and API automation. Real-device and cross-browser execution using LambdaTest, Sauce Labs, or an equivalent platform. Knowledge of AI-driven test optimization and coverage analytics using SeaLights or an equivalent platform. Experience contributing reusable components to shared automation frameworks and reviewing automation code through Git and GitHub workflows. Experience managing test data and troubleshooting test environments needed for reliable execution. Experience triaging security findings and validating operational readiness, monitoring, rollback, and recovery controls. Experience producing audit-ready evaluation reports and improving shared evaluation patterns, automation libraries, and datasets.

Location: Bengaluru, India We are looking for a hands-on NetSuite QE Senior who can own quality for finance order-to-cash and still write the tests. You will test NetSuite billing and Advanced Revenue Management workflows, build UI and API checks in TypeScript and Playwright with AI-assisted tools and agents, review generated tests, investigate cross-system failures, and provide release-readiness evidence. This position is intended for Hyderabad-based candidates who are available to work from the office. Our client uses Oracle NetSuite as its financial system of record for order-to-cash, billing, revenue recognition, tax, refunds, and membership. Quality Engineering covers ERP regression, financial change, and the integrations connecting commerce and candidate systems to NetSuite. Own quality for an assigned finance order-to-cash area, from requirements analysis and test design through functional execution, in-sprint automation, exploratory testing, defect resolution, and release-readiness input. Validate purchases end to end across storefront or registration flows, integration events, NetSuite billing records, downstream entitlements, and revenue plans. Design and execute coverage for sales orders, cash sales and invoices, payment events, promotions, price exceptions, vouchers, corporate billing, refunds, cancellations, and tax-sensitive scenarios. Test revenue recognition as a multi-stage process, including arrangements, elements, recognition rules and plans, fair-value allocation, carve-out, prospective merges, deferrals, and background-job timing. Write and maintain TypeScript and Playwright tests, using API checks as the default and UI automation for business-critical flows or fields that are not exposed through an API. Use AI-assisted tools and agents across requirements analysis, test design, code authoring, and suite maintenance, and review generated tests for missing coverage, correctness, and domain risk. Design reusable end-to-end scenarios and verification cases, using soft assertions, dynamic product data, and stage-aware revenue-recognition runs that avoid parallel data collisions. Keep test cases, ownership, tags, eligibility, and CI results traceable, and maintain sandbox users, API tokens, and a record of permission-restricted scenarios. Investigate missing or incorrect orders across integration events, APIs, ERP script logs, and downstream systems, then report and verify defects through resolution. Support pre-production regression, finance and tax sign-off, and controlled production smoke testing without using production as a general test environment. Senior-level hands-on Quality Engineering experience across requirements analysis, test design, functional and exploratory testing, defect management, automation, and release readiness. Practical experience testing Oracle NetSuite or a comparable finance ERP, with strong understanding of order-to-cash records and transaction lifecycles. Working knowledge of revenue recognition concepts and the ability to test multi-stage financial processing, allocation, deferrals, refunds, and background jobs. Hands-on TypeScript and Playwright for UI and API automation, including SuiteTalk, REST, or an equivalent ERP API, with the ability to write and explain the tests and judge when a UI check is still required. Experience using AI-assisted tools such as Cursor, GitHub Copilot, or equivalent, including agents, across requirements analysis, test design, code authoring, and suite maintenance, with review of generated tests for missing coverage, correctness, and domain risk. Ability to design reusable verification coverage, apply soft assertions to long transactional flows, and manage test data that must not collide in parallel execution. Experience testing integrated systems and tracing failures through event processing, API responses, application logs, and downstream outcomes. Experience with TestRail or equivalent traceability, CI regression, and Git. Ability to assess financial and revenue risk, separate release blockers from lower-impact defects, and communicate clearly with engineering, product, finance, and tax stakeholders. Experience with NetSuite Advanced Revenue Management, including arrangements, elements, plans, prospective merges, fair-value allocation, carve-out, and formulas used to challenge expected revenue amounts. Experience testing tax, multi-entity, localization, corporate billing, voucher, or price-exception workflows in an ERP. Experience maintaining automated coverage through ERP form-layout or field-placement changes. Familiarity with event-driven commerce integrations, dead-letter queue investigation, or payment and entitlement workflows.

Задачи: — Писать детальные спецификации для AI-агентов, определять архитектурные решения и создавать технические спецификации на естественном языке для генерации production-ready кода. — Основная часть задач связана с пользовательскими витринами на Angular, часть — с BFF и более глубокими слоями, требуется опыт Fullstack. — Иногда править код вручную, если это быстрее, чем перезапускать агента. — Управлять мульти-агентными сессиями разработки, организовывать цепочки задач между AI-агентами, контролировать контекст, использовать MCP-серверы и .md-файлы для управления поведением агентов. — Проводить AI-code review без написания кода, управлять правилами генерации тест-кейсов и критериев приемки, анализировать результаты тестов и корректировать агента. — Настраивать AI-driven CI/CD пайплайны, автоматизировать деплой, генерацию hotfix'ов, создание скриптов миграций и исправление проваленных тестов. Требования: MUST HAVE по AI-инструментам: — Минимум 6 месяцев ежедневной работы с Cursor, Cline, Claude, Codex, OpenCode или аналогами. — Портфолио проектов с кодом, сгенерированным AI (git history с характерными коммитами). — Опыт работы с контекстными окнами 100k+ токенов, умение оптимизировать и настраивать плагины. — Навык написания системных промптов и agent instructions (.cursorrules, SYSTEM.md). MUST HAVE по технологиям: — Современные версии Angular и опыт работы со старыми версиями для обновления. — Знание Figma и MCP для ИИ-агентов. — .NET 6+ с опытом 2+ года. — Понимание архитектуры: REST API, gRPC, message brokers, CQRS, DDD. — Умение читать AI-сгенерированные диффы в Git по 500+ строк. Red flags: — Использование ChatGPT для простых SQL-запросов не подходит. — Использование Copilot для автодополнения не считается AI-first разработкой. — Готовность учиться без реального опыта не подходит. Условия: — Работа в аккредитованной IT-компании, входящей в состав Холдинга РЖД. — Официальное оформление, отпуска, больничные по ТК, стабильный доход. — График работы 5/2, 8-часовой рабочий день, работа в офисе. — ДМС, включая стоматологию.

Location: Sydney, Australia Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As 1Password’s Country Manager for Australia and New Zealand (ANZ), you’ll establish and lead our next major international market, building a durable, partner-led growth model across the region. You’ll own regional growth strategy, revenue performance, customer experience and the development of a local go-to-market team spanning Sales, Channel, Business Development, Solutions Engineering and Customer Success. Reporting to the SVP, Sales, this Sydney-based role will help more organizations protect access and strengthen security while shaping how 1Password serves customers and partners across ANZ. How we’re using AI today Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here. This is a remote opportunity within Australia. Note: All go-to market roles will have an in-person onboarding in Toronto. What we're looking for: - Significant leadership experience in enterprise software, cybersecurity, cloud, identity or a related technology market, including substantial experience in Australia and New Zealand. - A track record of launching, building or scaling a regional business with accountability for revenue, people, partners and customer outcomes. - Deep ANZ market credibility and an established executive network across customers, distributors, resellers, service providers and the broader technology ecosystem. - Proven channel-first leadership, including the ability to create strong partner economics and make indirect routes to market a core operating model. - Experience leading multiple go-to-market disciplines, such as enterprise or commercial Sales, Channel, Business Development, Solutions Engineering and Customer Success. - Strong people leadership, commercial judgment and operational discipline across recurring-revenue business models, forecasting, pipeline creation, expansion and retention. - Preferred: Experience with identity and access management, privileged access, Software as a Service (SaaS) security, developer security or artificial intelligence security; familiarity with complex enterprise buying processes and sales methodologies such as MEDDPICC. Willingness to travel regularly across Australia and New Zealand, with occasional international travel, is expected. What you can expect: - Own the ANZ business plan and revenue outcomes across new business, expansion and retention, establishing a clear cadence for forecasting, pipeline inspection, account planning and performance management. - Translate 1Password’s global strategy into a regional operating plan that reflects local buying behavior, market dynamics, competitive conditions and regulatory requirements. - Build a channel-first growth engine by developing distributors, resellers and service providers through joint business plans, enablement, clear rules of engagement and measurable pipeline goals. - Serve as an executive sponsor for priority customers and prospects, strengthening relationships with Chief Information Officers (CIOs), Chief Information Security Officers (CISOs) and other business leaders. - Recruit, onboard and develop a high-performing Sydney-based team while establishing clear roles and effective collaboration across Sales, Channel, Business Development, Solutions Engineering, Customer Success, Marketing and Support. - Bring customer insight, competitive intelligence and regional requirements to Product, Engineering and other global leaders, particularly around data residency, regulated industries, public-sector needs and local support. - Represent 1Password across the ANZ market through executive customer and partner meetings, industry events, advisory forums, stakeholder relationships and locally relevant thought leadership. What success looks like: Within your first 12 months, you will: - Establish 1Password as a credible, locally led security partner across ANZ. - Build and ramp the core regional team with clear accountability, strong handoffs and a reliable operating cadence. - Activate a focused distributor and reseller ecosystem that supports pipeline creation, customer adoption, expansion and retention. - Transition existing ANZ accounts into the local operating model while protecting customer relationships and revenue. - Accelerate new-business and expansion pipeline while maintaining strong deal quality and partner economics. - Create an evidence-based plan for public-sector and regulated-industry growth. - Build trusted partnerships with global Product, Engineering, Marketing, Customer Experience and go-to-market leaders. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. The way we bring those values to life every day is guided by our 1Password Behaviors for Success https://1password.com/blog/how-to-interview-with-confidence-at-1password. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Remote (USA) Workplace: remote Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.   We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.   For more information, visit arcadia.io. Why This Role Is Important to Arcadia As our business grows, and as AI is improving, we need fewer, better building blocks: less per-team glue, more self-service capabilities every team builds on, so engineers spend their time on customers instead of plumbing. This is platform engineering at Arcadia. The role could just as well be titled Developer Platform, DevEx, DevProd, or SRE. Arcadia builds and operates the petabyte-size lakehouse, and the client-facing applications that run on Kubernetes. The role will span both, reporting directly to the engineering VP. What Success Looks Like Arcadia engineers and their agents rely on platform building blocks, from services and pipelines to databases, queues, and storage, that come wired in with logging, metrics, tracing, alerts, encryption, access controls, backups, and cost tags, with sensible defaults. Teams change their own pipelines, environments, alerts, and SLOs. When something breaks, the owning team sees it first, traces it to the change that caused it, and rolls it back themselves. They see their own delivery numbers and cloud spend, and act on them. Platform upgrades reach them as a merged pull request, not a checklist. Engineers take the paved road because it's the fastest way to production, and platform engineers spend their time building capabilities, not working tickets. What You'll Be Doing Push quality attributes into the platform, especially as AI increases the volume of changes: test and regression gates, progressive delivery and fast rollback, supply-chain and policy checks in the pipeline, and cost that's visible and attributable to the teams. Run the platform as a curated internal product : find what slows teams down, pick the few capabilities worth building, publish the roadmap, and measure adoption, delivery speed, stability, and developer satisfaction. Build software : self-service APIs, templates, and golden paths for CI/CD, environments, and observability, so teams get what they need without waiting on anyone. You write a meaningful share of the code. Carry migrations : track usage, automate instead of handing out checklists, push through the final 20%, and sunset. Manage the platform's stakeholders : say yes with compromises, say no without breaking trust, bring shadow platforms back onto the paved road, and make cost visible to the teams that generate it. Set the technical direction and evolve the platform, and coach Senior Engineers through design partnership and review. Keep building out our software "dark factory" on top of our internal agentic platform - we should be offloading more and more to it over time. What You'll Bring Both halves of platform engineering: a software engineer 's instinct for clean abstractions and APIs, and a systems engineer 's depth in cloud, Kubernetes, networking, and IaC. Reliability you've owned: SLOs, observability, on-call, and incident response. Customer empathy : you talk to the engineers you serve, tell a real need from a loud request, and retire what nobody uses. Big, long-running projects you've seen through: migrations pushed past the final 20%, platforms sunset on purpose, and the attention to detail both require. A clear philosophy on structuring infrastructure and delivery for security, velocity, and reliability, and the stories behind it. Current, hands-on production coding , the habit of figuring things out (research, spike, deliver), and relentless pragmatism about what's worth building. Drive to reduce toil for everyone through software. Ability to initiate and get stuff done org-wide . No healthcare background required. Would Love for You to Have Regulated -data experience (HIPAA, PHI, SOC 2 or HITRUST environments). A public voice through talks, writing, or open source. Experience turning an infrastructure or DevOps team into a product-minded platform team . Experience building platform support that scales : support tiers, office hours, docs, and developer advocacy. Experience making cloud and CI cost visible and actionable for the teams that generate it. What You'll Get The opportunity to own Arcadia's platform and to set its direction for years. Direct influence on how Arcadia's engineering org works on daily basis; your tooling, patterns, and standards become examples others build on. Remote-first across the US, with in-person hubs growing in Boston, DC, and NYC. A flexible culture with personality and heart , named a Built In 2026 Best Place to Work. Work that shows up in patients' lives . About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE The Senior Principal Software Engineer is responsible for shaping and evolving the company’s technical landscape. In addition to designing, developing, and maintaining core systems, the Senior Principal Software Engineer provides strategic guidance to align technology initiatives with business goals. This role is vital in ensuring that the platform is secure, scalable, and performant—capable of supporting rapid growth and driving innovation. _______________________________________________________________________ RESPONSIBILITIES TECHNICAL STRATEGY & ARCHITECTURE - Define and drive the overarching technical vision, ensuring the platform meets current and future scalability, performance, and security needs - Evaluate and select tools, frameworks, and architectures to maintain a state-of-the-art technology stack LEADERSHIP & MENTORSHIP - Provide technical leadership and guidance to the engineering organization, setting best practices and standards. - Coach and mentor engineers, fostering a culture of continuous learning and collaboration Innovation & Research - Investigate emerging technologies, frameworks, and best practices - Lead prototyping initiatives and proof-of-concepts that can transform the platform’s capabilities SCALABILITY & PERFORMANCE - Ensure the platform is designed for high performance and can seamlessly handle increasing user loads - Oversee performance optimization, load balancing, and capacity planning strategies RELIABILITY & AVAILABILITY - Design fault-tolerant, highly available systems that minimize downtime and deliver a seamless user experience Infrastructure Automation - Advocate for and implement Infrastructure as Code (IaC) principles, CI/CD pipelines, and automation best practices - Continuously refine deployment, testing, and operations processes to improve efficiency SECURITY & COMPLIANCE - Collaborate with security experts to ensure platform integrity, compliance with industry standards, and protection of sensitive data - Proactively address security vulnerabilities and champion secure coding practices CROSS-FUNCTIONAL COLLABORATION - Work closely with product managers, designers, and other stakeholders to ensure technical initiatives support business objectives - Drive alignment between engineering roadmaps and product strategies TECHNICAL PROBLEM-SOLVING - Tackle complex architectural and technical issues, providing clear direction and innovative solutions - Serve as an escalation point for critical system challenges CODE QUALITY & REVIEWS - Uphold coding standards through thorough code reviews, ensuring high-quality, maintainable codebases - Establish and enforce best practices around testing, documentation, and version control DOCUMENTATION & KNOWLEDGE SHARING - Produce comprehensive technical documentation, including architectural diagrams, design guidelines, and operational runbooks - Promote a transparent engineering culture by sharing insights and successes across the organization - Take part in on-call rotation for your team, respond to incidents, debug production issues, and drive continuous improvement of system reliability _______________________________________________________________________ QUALIFICATIONS ● 12+ years of software engineering experience with demonstrated expertise across multiple domains (SDLC, AI engineering, corporate systems, etc) ● Extensive software engineering experience, with a track record in designing and implementing large-scale, distributed systems ● Deep technical expertise: Proficiency in multiple programming languages, cloud platforms (e.g., AWS, Azure, GCP), and modern development frameworks ● Leadership acumen: Demonstrated ability to lead diverse engineering teams, inspire innovation, and drive successful outcomes ● Architectural vision: Proven skill in defining and driving architectural roadmaps that align with evolving business needs. ● Problem-solving ability: Expertise in diagnosing complex system issues and designing robust, scalable solutions ● Communication skills: Excellent written and verbal communication skills, capable of influencing both technical and non-technical stakeholders. ● Security conscious: Solid understanding of security best practices, compliance standards, and data protection ● Continuous improvement mindset: Passion for optimizing processes, toolchains, and workflows ● Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience As a Senior Principal Software Engineer, you will not only architect innovative solutions but also shape the technical culture. Your leadership and expertise will be pivotal in building a resilient, cutting-edge platform that supports rapid growth and drives long-term success. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $219K – $352K base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Manchester, United Kingdom Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Head of Merchant Excellence Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drive everything we do. Our Merchant Excellence team sits at the heart of Deliveroo’s marketplace—ensuring our restaurant and retail partners receive world-class support and seamless operational experiences. If you are a seasoned operations leader who thrives in complex, high-stakes environments and enjoys influencing global product and policy, this is the role for you. We’re looking for a Head of Merchant Excellence to join our Merchant Leadership team. Based in our Manchester office with a hybrid work pattern (3 days in-office), you will be responsible for the strategic direction and performance of a c.80-person global operation across the UK and Italy. What You’ll Be Doing You will be the architect of our partner support strategy, moving between high-level executive discussions and granular operational performance management. Strategic Architecture: Recommend and own the global strategy for Partner Operations, including site selection and the balance between in-house and outsourced (BPO) solutions. Product & Tech Influence: Partner with Product and Technology teams to shape the future roadmap. You will provide the "voice of the merchant," identifying agent pain points and advocating for self-service vs. agent-led channel strategies. Operational Leadership: Set and achieve department-level targets for a team of c.80 colleagues. You will design the frameworks that ensure functional managers and vendors are held accountable to world-class KPIs. Stakeholder Management: Act as a trusted advisor to the Senior Leadership Team (SLT) and C-suite. You will lead deep dives into operational issues and present clear, data-driven solutions to complex problems. Culture & People Development: Foster a high-performance culture inclusive of experimentation and continuous learning. You will manage performance, drive employee satisfaction initiatives (Peakon), and mentor the next generation of Deliveroo leaders. Relentless Improvement: Surface operational friction and influence stakeholders across Product, Legal, and Finance to address root causes. On-Call Support: Participate in a 24/7 on-call rota for approximately 2 weeks per quarter to ensure our marketplace remains resilient. What You’ll Need to Thrive Our ideal candidate is a "detailed and action-oriented" leader with a heavy background in scaling complex operations: Scale Experience: Significant leadership experience in a large-scale, international contact centre or operational environment. Strategic Influence: Exceptional communication skills with the ability to build trust with local market senior management and global Exec stakeholders. Operational Rigor: A proven track record of building and scaling customer care organisations in fast-paced, consumer-facing tech businesses. Technical Savvy: Proficiency in CRM systems (e.g., Salesforce) and solid analytical skills (Excel pivot tables, INDEX MATCH). SQL skills are a major plus. People Management: Experience managing "managers of managers," implementing performance initiatives, and driving engagement across multi-site setups. Communication: Ability to write concise project documents that bridge the gap between technical operations and executive strategy. Why Join Us? At Deliveroo, you’ll solve some of the most interesting questions in the tech-logistics space. Working here you can expect to: 🚀 Make a Visible Impact: Your strategy directly affects the success of thousands of merchants across the globe. 🌱 Fast-Track Progression: As a member of the Merchant Leadership team, you are at the forefront of the company’s strategic growth. 🧠 Autonomy and Ownership: We move fast and empower our leaders to take accountability for their own departments. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .