Вакансии

Location: Tokyo, Japan Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: The Solutions Consultant Manager is the person who makes our GTM motion real on the ground. As an in-region leader directly managing a team of Solutions Consultants, you'll own your team's full commercial output—new logo, expansion, and renewals—and be accountable for both the results and the quality of execution that produces them. This isn't a traditional pipeline-management role. The best SC Managers are coaches first: they know what a great first meeting looks like, can watch a live build and tell a rep exactly what to change, and build the operating rhythm and inspection cadence that makes consistent execution possible across the team. If you're a builder who loves developing people as much as winning deals—and you want to lead a regional team in a go-to-market model that's genuinely new—this is the role. WHAT YOU'LL ACHIEVE: - Own the commercial performance of your team across new logo ARR, expansion ARR, and UBP outcomes—accountable for both the headline numbers and the quality of execution that drives them - Coach SCs on the GTM builder motion: what great looks like in a first meeting (workflow diagnosis, current → future architecture), a second meeting (live build in Notion + value narrative), and through the full cycle to adoption hand-off - Contribute to and participate in the regional operating cadence: weekly pipeline reviews, deal support sessions, call reviews against the motion quality rubric, and forecast calls with senior leadership - Hire, onboard, and certify new SCs to the GTM builder motion—driving readiness from ramp through consistent execution, and managing performance with clarity when expectations aren't met - Partner with the regional BDR manager on pipeline strategy, outbound targeting, and qualification standards to ensure the team's book of business is healthy and growing - Partner with Outcomes leadership on adoption hand-offs, at-risk account management, and renewal strategy—owning the overall commercial arc for the region while collaborating on the execution that follows close - Represent your team or region in leadership forums with clear signal on what's working, what needs investment, and where execution is breaking down SKILLS YOU'LL NEED TO BRING: - Track record as a quota-carrying B2B seller with direct experience in workflow design, live demos, or technical sales—you can coach the builder motion because you've run it yourself - Frontline sales management experience: built an operating cadence, ran performance management, and developed talent from onboarding through consistent overperformance - Strong coaching orientation: you can watch a demo or deal review and identify specifically what to change—not just whether the outcome was good, but why, and what the rep should do differently next time - Commercial instincts at the team level: able to read pipeline health, identify risk early, and drive urgency across a team without micromanaging individual deals - You don't need to be an AI expert, but you have a strong interest in the evolving AI landscape, stay closely attuned to industry trends and developments, and are curious and willing to adopt AI tools to work smarter and deliver better results. - Native or bilingual level fluency Japanese and business-level English proficiency across speaking, listening, and reading, including the ability to support team members with global communication NICE TO HAVES: - Experience selling or managing in a consumption or usage-based business where adoption signals matter as much as closed ARR - Track record building high-performing regional teams from an early stage: hiring to profile, structured onboarding, certification, and performance management - Experience in a shared account ownership model—able to navigate the SC/CSA hand-offs and hold the commercial arc across the full customer lifecycle A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. THE ROLE The Transaction Monitoring (TM) Compliance Manager is a specialized financial crime risk and regulatory oversight role within the Second Line of Defence (2LoD) Financial Crime Compliance department. The successful candidate is responsible for providing independent oversight, objective evaluation, and compliance challenges regarding the efficacy of the firm's Transaction Monitoring framework. Acting as a Second Line Subject Matter Expert (SME), the individual defines the regulatory envelope, assesses TM risk coverage, and reviews the governance, methodologies, and documentation underpinning detection mechanisms. This role does not own control execution or technical solution design; instead, it provides independent assurance to ensure that the firm’s monitoring practices remain aligned with defined risk appetite, internal policies, and global regulatory expectations (AML/CTF/CPF). Key Responsibilities: 1. Compliance Oversight in Risk Assessment & Horizon Scanning - Independent Review: Lead the ongoing 2LoD evaluation and challenge of the Compliance Risk Assessments (including EWRA and Product Risk Assessments) to ensure they accurately reflect current transaction data, typologies, and product utilization trends. - Regulatory Surveying & Horizon Scanning: Proactively monitor, survey, and analyze shifts in the global regulatory landscape, financial crime trends, and regulatory enforcement actions to ensure the firm's TM Compliance risk assessment framework remains comprehensive and defensible. - Gap Assurance: Evaluate the mapping of financial crime typologies against active transaction monitoring coverage to independently identify and escalate potential tracking gaps to senior management. 2. Independent Compliance Challenge & Assurance Framework - Segmentation & Calibration Challenge: Provide independent, 2LoD challenge to data-driven customer segmentation methodologies executed by the First Line (1LoD), verifying alignment with merchant risk profiles. - Compliance Oversight in Tuning & Optimization: Review and evaluate the methodologies, statistical testing parameters, and documentation for periodic "Below-the-Line" (BTL) and "Above-the-Line" (ATL) testing performed by the First Line to ensure robust governance. - Residual Risk Opining: Formulate independent compliance opinions regarding residual risk acceptance, providing formal advisory input to governance forums and the Global MLROs. 3. Governance, Risk, & Reporting - Model Risk Governance: Participate in the compliance review of TM systems and model validation exercises, independently assessing the transparency, logic, and regulatory defensibility of detection models against applicable guidance (e.g., FCA guidance on model risk management). - Strategic Alignment: Provide regulatory compliance support to the Head of TM to assist in aligning roadmap initiatives with the compliance maturity framework. - Stakeholder Engagement: Engage with cross-functional stakeholders across lines of defense to communicate compliance requirements and support the adherence to established TM standards. - Governance & Escalation Paths: Support the enhancement of the TM compliance governance framework to facilitate the structured, independent escalation of risk metrics to senior management. - Metrics & KRI Oversight: Assist in the production of 2LoD Management Information (MI) and Key Risk Indicators (KRIs) to track the effectiveness of the compliance oversight posture for the Head of TM and Global MLRO. 3. Data Integrity & Alert Lifecycle Assurance - Data Lineage Assurance: Review documentation regarding data lineage, integrity, and completeness for feeds ingested into the monitoring architecture to ensure compliance with regulatory standards. - Lifecycle Evaluation: Evaluate the end-to-end alert workflow governance, risk scoring frameworks, and prioritization mechanics to ensure high-risk alerts adhere to compliant escalation paths. - Feedback Loops: Analyze high-level alert outcomes and disposition trends to provide compliance feedback loops to technical teams, supporting iterative improvements in the quality of Suspicious Activity Reports (SARs). QUALIFICATIONS & EXPERIENCE - Experience: Typically 5+ years of experience within Financial Crime Compliance, with a specific focus on the independent oversight, assurance, or evaluation of Transaction Monitoring frameworks within a regulated PSP, FinTech, or financial institution. - 2LoD Competency: Proven experience operating within a Second Line of Defence capacity, demonstrating the ability to independently challenge technical teams, data models, and threshold tuning documentation objectively. - Regulatory Knowledge: Deep understanding of the UK Money Laundering Regulations (MLRs), JMLSG Guidance, and international FATF standards. - Systems & Data Literacy: Familiarity with data analysis methodologies, data visualization tools (e.g., Looker, Tableau), or basic query languages (e.g., SQL) sufficient to independently evaluate data testing outputs, methodologies, and audit trails. - Education & Professional Certifications: A Bachelor’s degree in Law, Finance, Criminology, or a related discipline, or equivalent professional experience. Professional certifications from recognized bodies (e.g., ICA International Diploma in AML, ACAMS) are highly regarded. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Bangkok, Thailand D-ploy is an IT and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA. We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the IT community, we optimize our customer‘s IT productivity and contribute to the organization’s success and value. We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where IT counts, join us! Tasks and Responsibilities Provide technical and troubleshooting assistance related to computer hardware and software, mobile devices and other tech tools and products First and second level technical support – calls/tickets/user interaction Provide prompt responses to IT related questions from end-users Reliable documentation of all end-user interactions in customer ticket system ‘Service Now’ (e.g., incidents, requests) Create, maintain, utilize knowledge articles Provide IT onboarding trainings to new starters Contribute to continuous improvement initiatives Requirements Language skills: fluent Thai and fluent English, other languages are a plus 2+ years of experience in a similar role Strong problem solving/analytical abilities Excellent communication skills and customer orientation Attention to detail and ability to multi-task, handling multiple stakeholders Ability to prioritize and willingness to work self-sufficiently and well organized Team player and supportive personality Experience in regulated IT environments is a plus (e.g. GxP) All candidates must provide a Criminal record not older than 3 months Benefits Broad range of activities, tasks, and projects Flexible working conditions Fishing for Friends program – our referral program Further development and professional advancement Friendly and international working environment Company-sponsored events Is IT in your DNA?

Location: Palo Alto Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE This role focuses on building and operating the end-to-end execution, training, and data infrastructure that powers Mistral’s agentic models and coding assistants. You will be a core contributor to our agent research stack: designing scalable systems for synthetic data generation, building ultra-fast training and RL execution environments, and maintaining high-throughput execution engines. You will tackle the engineering challenges at every step of the agent lifecycle: from orchestrating 1M+ concurrent and short-lived sandboxes for untrusted code execution to optimizing agent training codebases, distributed trajectory collection pipelines, and dataset processing workflows across massive hybrid and multi-cloud clusters. WHAT YOU WILL DO - Large-Scale Sandboxing Infrastructure: Design, deploy, and operate our high-throughput sandboxing platform, executing LLM-generated untrusted code across over 1 million isolated environments concurrently for model evaluation and interactive RL environments. - Agent Data Generation Pipelines: Architect and scale high-throughput pipelines for synthetic code generation, agent trajectories, rollouts, and self-play data collection to power post-training and RL loops. - Training Codebase & Systems Optimization: Optimize agent training codebases and distributed execution runtimes (PyTorch, Ray, SLURM/Kubernetes) to minimize multi-step rollout overhead, improve GPU utilization, and eliminate scaling bottlenecks. - Low-Latency Orchestration & Warm Pooling: Reduce sandbox cold-start times to sub-second levels using container warm pools, snapshot/restore technology (e.g., CRIU, microVMs), and optimized image delivery layers across hybrid clusters. - Multi-Cluster Queueing & Resource Allocation: Implement Kubernetes-native custom controllers, CRDs, and queuing systems to dynamically route short-lived evaluation, synthetic data, and agent execution tasks across diverse hardware fleets. - Isolation, Security & Security Boundary: Ensure strict multi-tenant network and process isolation for untrusted agent code using container/sandboxing runtimes (e.g., gVisor, Firecracker) and default-deny network postures. - Operational Excellence: Maintain high availability, telemetry, and automated self-healing across millions of transient jobs while participating in on-call rotations for critical agent training and execution pipelines. WHAT WE'RE LOOKING FOR - 4+ years of experience in Systems Engineering, Distributed Systems, Cloud Infrastructure, or MLOps supporting LLM/RL workloads. - Data & Pipeline Engineering: Proven experience building high-throughput data processing and generation pipelines for large-scale datasets (e.g., Ray, Spark, custom distributed queues). - Deep experience with Kubernetes & Container Tech: Strong expertise writing custom K8s operators/controllers, managing Linux cgroups/namespaces, and optimizing Docker image layers and distribution systems. - High-Performance Software Engineering: Advanced proficiency in Python, Go, C++ or Rust, with a track record of profiling and optimizing high-performance ML or backend systems codebases. - Sandboxing & Isolation Technologies: Hands-on experience with lightweight virtualization, container runtimes, or WASM (e.g., Docker, gVisor, Firecracker). - Queueing & Scheduling: Deep familiarity with task queue systems, resource schedulers, and low-latency queuing architectures for high-volume, short-lived workloads. - Comfort with Ambiguity: Passion for working directly alongside AI researchers to rapidly turn frontier agent ideas into scalable, production-grade infrastructure. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Palo Alto, California Aptos is a people-first blockchain on a mission to help billions of people achieve universal and fair access to decentralized assets in a safe and scalable way. Founded by some of the original creators and maintainers that researched, designed, and built the Diem blockchain to serve this purpose, we have dedicated several years toward this mission. We believe the open-source Diem technology we have developed is an important foundation of a safe and scalable web3 world where everyone has more equitable opportunities to grow and access financial assets with lower fees and fewer intermediaries. Aptos (Ohlone for "The People") encompasses our mission and ethos for why we build. About this role Aptos is a high-performance Layer 1 designed for financial services: sub-second settlement at sub-cent cost, production reliability institutions build on, and native stablecoins including assets exclusive to the network. We are consolidating our commercial efforts into one financial services company — payments, tokenization, and trading — and payments is the first chartered business: a ring-fenced unit with its own P&L, an exclusive global settlement partnership already signed, first-party products already shipped (keyless onboarding, multisig treasury, confidential payments), and clear evidence gates at 90 days, 6 months, and 24 months. This role is the founding technical leader of that unit. You are hire number one of the engineering team, and the build you lead defines the business. What you'll own The Aptos Payment API. Spec, ship, and run the single API businesses integrate against — wrapping partner infrastructure today, with an orchestration engine routing across a licensed partner network as the business earns it. You write the spec bottoms-up from partner and client requirements. Partner-facing engineering. You are the technical face of the unit: requirements intake, integration leadership, and technical diligence with banks, EMIs, PSPs, stablecoin issuers, and e-wallet platforms. You can run those calls alone and write the requirements doc after. The trust infrastructure. Revenue attribution and reconciliation (the system that proves which volume is ours), a single-window KYC/KYB integration, a testnet sandbox that lets any prospect try the stack before compliance onboarding, and a native-asset-only settlement policy — no bridges. Integration with the trading stack. Our trading team builds the RFQ liquidity and tokenized-FX systems; you own the payments side of that seam — routing corridor FX through their venue, defining the API contract between the two systems, and making the handoff invisible to clients. The team and the calls. Hire and lead the first two engineers; grow the team only as revenue triggers fire. Make the build-vs-buy decisions (orchestration components, KYC tooling) with written memos at each gate. Your first 90 days Publish the Payment API v1 spec and ship the testnet sandbox. Stand up revenue attribution v1 and harden USDT/USDC settlement rails to production grade. Ship the first client integration hands-on, end to end. Draft the orchestration build-vs-buy memo that frames the unit's biggest technical decision. These are not aspirations — they are the unit's first gate, and the role's report card is the engineering column of the business's scorecard. What we're looking for 8+ years building payment infrastructure at production scale — PSP or orchestrator-class systems: cross-border rails, on/off-ramps, virtual accounts, reconciliation. Hands-on chain-native settlement experience: stablecoin rails, ramp integrations, wallet infrastructure. Move or Rust a plus; strong engineering judgment on any stack a must. Front-facing gravitas: banks, issuers, and regulated partners treat you as a peer. You've led external technical relationships, not just internal roadmaps. A product engineer's instincts: you build bottoms-up from what clients and partners actually need, and you treat existing internal products as assets to resell — not constraints to build around. Player-coach by default: you ship code, then hire people better than you at parts of it. Nice to have APAC corridor experience — e-wallet ecosystems, QR rails, regional licensing landscapes. Enough FX and market-structure fluency to be a strong counterpart to the trading team on the RFQ integration. Working familiarity with payments regulation (money transmission, MiCA, Singapore PS Act) — enough to design with counsel, not practice law. A prior 0→1: founding engineer, first technical hire, or owner of a product line from blank page to revenue. Why this role is unusual Distribution is solved before you start. An exclusive settlement partnership routes committed volume to the network — you build against real flow, not hoped-for flow. The business is chartered. Written gates, a stop condition, and growth triggers tied to revenue — you'll always know exactly where the business stands and what your work must prove next. The scope compounds. What starts as one API becomes an orchestration network and a tokenized-currency framework, integrated with a trading venue's liquidity — the technical agenda grows with every gate the business clears. You define the org. Every engineering hire after you is your call, made against revenue evidence. The base salary range for this full-time position is $160k - $260k. The range displayed on each job posting reflects the minimum and typical maximum target for new hire salaries for the position of a candidate based in the Bay Area at any level. We do hire exceptionally talented professionals with decades of experience in their field. As such, our range may be higher than what is displayed. Our base salary ranges are determined by experience and location, and we hire at all levels for multiple roles. Within the range, individual pay is determined by work location, job-related skills demonstrated during the interviews, working experience, and relevant education or training. Please note that the compensation details listed in role postings reflect the base salary only and do not include equity, tokens, or benefits. #LI-PG1 Our Benefits 100% insurance premium coverage for medical, dental, and vision for you and your dependents (US Employees) Equipment of your choice Flexible vacation time, 11 holidays, and floating company days off Competitive Salary Protocol Token Grants 401k matching (US Employees) Fun and inclusive in-person and digital events Aptos is committed to diversity in the workplace, and we’re proud to be an Equal Opportunity Employer. We do not hire on the basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided based on qualifications, merit, and business need. We are committed to providing a safe and secure hiring process for all applicants. Unfortunately, there are individuals who may attempt to impersonate Aptos or our employees for fraudulent purposes. To protect yourself, please be aware of the following: We will never ask you for payment of any kind during the application or onboarding process, including fees for background checks, training, or equipment. We will always communicate with you using our official company email domain. We will never request your personal financial information, such as your social security number or bank account details, during the initial application stages or via email or a video/voice call when onboarding.

Location: Remote, Global ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We are hiring a AI Platform Engineer to build the execution layer for Supabase's internal AI systems. Supabase is building an AI-native internal operating system: a common way of working across the company where AI carries a meaningful share of the operational load rather than sitting alongside it as an assistant. We are standing up a new central team to build those systems, enable the teams, and embed AI operations throughout the organization. You are the engineer on that team. The execution layer is yours. You will build the platform that actually runs agents: an event-triggered queue, a headless model-agnostic runtime, durable state so work survives a restart, a human review gate, atomic rollback, and full logging of every prompt, tool call and decision so any run can be reconstructed. You will build the evaluation layer that makes any of it trustworthy, because an agent that cannot be measured cannot be trusted with anything beyond reading. And you will build the agents themselves, across everything from executive reporting down to a layer of agents that watch the platform and improve it. This is a governance-heavy environment by design, and that is the interesting part of the problem. Agents are risk-tiered from read-only internal data through to external-facing output, with review depth, evaluation requirements and human approval scaling by tier. Some capabilities are permanently off limits: an agent may read and report, it may carry a human-authored update into a system of record once a human consents, and it may initiate contact within a strict budget, but it may never autonomously write a commitment (an owner, a due date, a status) into a shared work system. Your job is to make that structurally impossible rather than merely forbidden. You will be the only engineer on this platform. You will close open architecture decisions yourself, own the infrastructure end to end, and instrument the system so it reports its own return. WHAT YOU'LL BE RESPONSIBLE FOR In this role, you'll: - Ship the agent platform to production. An event-triggered queue, a headless model-agnostic runtime (choosing the runtime is an open decision you will close), durable state that survives a failed run, a human review gate, atomic rollback, and complete run logging in the warehouse. - Own the evaluation layer, and switch on the gate that depends on it. Golden suites with behavioral assertions rather than intuition, judge criteria with a written rubric, safety cases that must pass on every run, and a CI gate that blocks a regression from merging. This is the precondition for every agent that does anything beyond read internal data. - Build and register the agent portfolio. Reporting, drafting, linting, triage and question-answering agents across the executive, team-lead and individual-contributor layers, plus a meta layer that observes the platform and improves it. - Enforce governance in code. Risk tiers the pipeline actually enforces, least-privilege credentials per agent, tool-permission gates, a decision audit log, and autonomy classes where the dangerous class has no code path rather than a warning label. Nothing runs without a registered owner, tier, tool grant and human gate. - Design how the system contacts people. A hard interruption budget per person, message bundling instead of a stream of pings, and a structure that gives something useful before it asks for anything. Adoption depends on this more than on any other single design choice. - Own the platform tooling. The compiler and validator, inventory integrity, and the paths that distribute context and capabilities into the repositories and chat surfaces where work happens. - Compute the operating measures from production data. A pipeline from raw system activity through to a computed maturity grade per team, defensible enough that a team can dispute the result and be answered with the query rather than an opinion. - Instrument the platform's own return. A ledger that logs the work each agent absorbs and computes the monthly figure, so the value of the system is a measurement rather than a claim. HOW YOU'LL THINK RECURSIVE THINKING You build the generator, not the artifact. When you need thirty agents, you do not write thirty agents; you build the inventory, the compiler and the distribution path that makes the thirty-first cost an afternoon, then a meta layer whose job is to watch the platform, find its drift and file the fix. The evaluation layer is the same move applied to trust. You are not checking whether one agent is correct today. You are building the machine that decides whether every future agent is allowed to ship, which means the suite has to be right in a way the agent does not, and the thing that grades has to be graded too. INVERSION THINKING You start from the failure and work backward to the design. The rule is that an agent may never autonomously write a commitment into a shared work system. The weak implementation is an instruction in a prompt. The strong one is that the credential in the agent's tool grant physically cannot set an owner, a due date or a status, so no amount of clever input, prompt injection or model error produces the forbidden write. You reach for the second one first. Same for evaluation. Before writing a suite you enumerate how the agent can be wrong: an update that invents progress that did not happen, one that quotes a private channel into a public digest, one that is accurate and reads as an accusation, one that credits the wrong person. Then the suite is that list, each case caught before the agent ships rather than after it embarrasses someone. AI-NATIVE EXECUTION You use agentic tools on real work, in files and repositories, with the same rigor you apply to anything else you ship. You have a setup of your own and can describe it mechanically: what triggers it, what it is allowed to touch, where the human approves, what it logs, and how you found out the one time it went wrong. That experience is this job, generalized. You are building for async engineers across 40+ countries who will judge the platform by whether it saves them an hour or costs them one, so you are your own first user and your own harshest reviewer. YOU MIGHT BE A GOOD FIT IF YOU MUST HAVE - Have shipped production LLM agent systems that other people depended on. Not demos, not internal showcases. Systems with operational history, real users and at least one incident you can talk through. Prompt engineering on its own does not clear this bar. - Design evaluations, not spot checks. You build golden sets, write behavioral assertions, define judge rubrics, set pass thresholds and gate CI on the result. You can explain why "we reviewed a bunch of outputs and they looked good" is not evaluation. - Have done deep API work against the systems work actually lives in, and have authored MCP servers. You know the specific failure modes of those APIs, not just that they exist. - Own infrastructure end to end in Python on GCP, with a cloud warehouse and infrastructure as code. You provision, deploy, monitor and roll back your own systems, and you close architecture decisions rather than routing them onward. - Have taste about how software contacts humans. You treat every notification as spending a limited amount of trust. STRONG SIGNAL - Public work in this space. An open-source agent framework, an MCP server, an evaluation harness, or writing on agent reliability that other practitioners cite. - LLM observability and cost instrumentation. Tracing agent runs, attributing spend per run, and building the queries that turn raw logs into a report someone acts on. - You have built an internal platform that non-engineers adopted voluntarily, and can describe what you changed after watching them use it. WHAT SUCCESS LOOKS LIKE - The platform is boring. Agents run on a schedule and on events, state survives restarts, failed runs roll back cleanly, and every run can be reconstructed from its log. - Nothing ships unevaluated. Every registered agent has a real suite with safety cases, the gate blocks regressions, and when someone challenges an output the answer is a test case rather than an argument. - The dangerous action is impossible, not discouraged. An audit of any agent's credentials shows it cannot perform the writes it is not allowed to perform, and the audit log makes every consequential decision traceable. - Teams pull the platform instead of being pushed. Agents get adopted because the reports are useful and the contact is rare and well-timed, and each team ends up with at least one workflow that runs automatically. - The platform reports its own value. The work absorbed is measured and published, so the case for expanding it is made with data rather than enthusiasm. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Remote - United States What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: AI agents at Honeycomb investigate, reason, and act on real observability data. They live in Canvas: the agentic workspace where engineers go to understand their systems. The Agentic Intelligence team has shipped Canvas, the Honeycomb MCP server, and the Canvas Agent and Canvas Skills surfaces. What we're looking for today is someone who brings deep agent expertise and uses it to expand what the team can build: new agents, new surface area in Canvas, memory, spatial awareness, improved performance on our Bedrock loop. Honeycomb's data store is fast and accepts high cardinality data; that's what makes agents built on top of it different from anything built on a conventional observability backend. This role is about taking advantage of that building agents that can do things no other observability product can do because the underlying data makes it possible. Some of this work will start as a prototype. The expectation is that the code makes it through the full arc, from the rough first version through to something that holds up in production. What you'll do Design and deliver production-grade agents. Build agents that investigate, reason, and act on live observability data inside Canvas. These agents must be trustworthy to engineers in high pressure situations, including mid-incident. Take one from rough first version to something that holds up under production traffic. Own the agent work; support the whole product. Scope, build, ship, and maintain the agents including the evals that tell you whether they got better or are just different. This role is agent-focused and also includes some fullstack development. Build agents only Honeycomb can build. Use a data store that returns high-cardinality queries in seconds to reason over signal a conventional backend can't serve at this fidelity correlating across services, drilling into a single trace, comparing before and after a deploy. Extend the surface, and decide what's next. Ship new capability into Canvas, the MCP server, and Canvas Skills memory, spatial awareness, a faster Bedrock loop and make the case for what comes after with working code. Distinguish hype from signal in a field with plenty of both. Define what "good" means for agents here. Set the bar: measurable against real evals, maintainable, and honest about their limits. Example projects Multiple agents collaborating on one shared Canvas investigation each claiming a hypothesis, publishing findings, and narrowing the search space for the others so it resolves faster (blog). Auto-investigation the moment an SLO burn alert fires the agent forms hypotheses and prepares visualizations before a human looks, cutting mean-time-to-insight for on-call (o11ycon 2026). Skills that encode a team's domain expertise e.g. Kubernetes thresholds so agents and human colleagues can lean on them (o11ycon 2026). What you'll bring: AI and agent engineering experience. You've shipped LLM-based systems people relied on in production not demos, not fine-tuned models in a research context. You know where agent systems break and how to design around it. End-to-end ownership. On a small team there's no handoff queue. You can take something from rough prototype to production-grade without needing someone behind you to do the durable engineering. Current judgment, not just past experience. You have informed opinions about what's shifted in agent design in the last six to twelve months that would change how you'd build today. Agent architecture depth. You understand how a fast, high-cardinality data store changes what an agent can reason about, and how to design for that. Product judgment. You can look at what the agent layer does today and see what it should do next and make that case with a prototype, not a deck. Even better Observability or developer-tools background. Engineers are your users; you'll ramp faster with fluency in that world, and the work is better. Familiarity with eval frameworks, agent tooling, RAG, and prompt engineering. Base Salary based on level of experience $183,340 — $206,000 USD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: San Francisco; New York Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re seeking a Revenue Operations Manager with a strong track record, a builder’s mindset, and a bias for action to join our in-person team in New York or SF. This is a high-impact, hands-on role. You’ll own the entire revenue operations function, from top-of-funnel lead routing through deal close and commission administration. You’ll work closely with our Head of Finance & People Ops and sales leadership to build the systems, dashboards, and processes that scale our go-to-market motion. WHAT YOU’LL WORK ON: - Own the inbound lead routing process, partnering with Marketing to ensure proper attribution - Run territory management and strategy for geo-based decision-making - Support and strategize on every aspect of revenue operations in your territory - Own capacity forecasting strategy, including inputs, throughputs, and outputs, and serve as the conduit back to Finance in the US for effective capacity forecasting - Provide input and strategy on comp-based decisions and benchmarking - Support leadership on overall regional operations and finance strategy across all functions, including sales, presales, and ecosystem - Evaluate new tools on the market and be responsible for improving the efficiency and effectiveness of the sales team - Build and maintain dashboards, leaderboards, and pipeline reporting to give leadership real-time visibility - Monitor deal progression and hold reps accountable for CRM hygiene and accuracy - Support deal reviews at the pricing and negotiation stages, coordinating with outside counsel as needed - Own the closed-won process from signature through handoff to post-sale - Administer commission plans across the sales org, ensuring accurate and timely calculations and serving as the source of truth for comp-related questions YOU MAY BE A FIT IF: - You have 3–7 years in Sales Operations or Revenue Operations at a high-growth, usage-based sales organization - You’ve built core GTM infrastructure before: lead routing, CRM architecture, pipeline reporting, commission administration, and deal desk - You have deep proficiency in CRM workflows, lifecycle stages, custom properties, and data hygiene - You’ve owned commissions end-to-end: building the model, calculating payouts, fielding rep disputes, and keeping it reconciled with Finance - You’ve run a deal desk, know what makes a contract clean, and catch errors before they become problems - You’re strong in Excel or Google Sheets: you can build a pipeline coverage model and know which metrics actually matter - You’ve earned trust with a sales team by making their lives easier while holding them accountable to process - You have a builder’s mentality: you identify gaps, propose solutions, and execute without being asked twice - You can zoom out and think strategically while staying close enough to the work to get your hands on the keyboard - You have an AI-forward mindset: you actively use AI in your work and are excited to pioneer its use in go-to-market operations - You have strong communication and collaboration skills and earn trust across Sales, Marketing, and Finance - You’re a player-coach: you’re not above the details, and you’re excited to own the work yourself

Location: New York; San Francisco; London Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: As a Manager, Enterprise Sales, you will lead and scale our enterprise sales team, driving strategic revenue growth with a consultative, customer-first approach. You will oversee complex deal cycles, coach Enterprise Account Executives, and build the motion that wins high-impact, multi-stakeholder deals in a rapidly evolving AI landscape. WHAT YOU’LL WORK ON: - Lead, mentor, and develop a team of Enterprise Account Executives, fostering a culture of performance, strategic thinking, and collaboration - Own and guide the full enterprise sales cycle, from targeted outbound and discovery to multi-threaded navigation, negotiation, and close - Build and refine enterprise sales playbooks, qualification frameworks, and forecasting models that increase accuracy and velocity - Collaborate cross-functionally with Product, Marketing, and Engineering to align on go-to-market strategy, unblock enterprise requirements, and deliver a seamless customer experience - Drive pipeline generation strategy and help shape top-of-funnel programs - Establish enterprise sales processes, performance metrics, and best practices that ensure consistent quota attainment across the team YOU MAY BE A FIT IF: - You’re a proven enterprise sales leader with experience closing large, complex deals and managing high-performing teams - You’re skilled in multi-threading, stakeholder alignment, and navigating procurement, legal, security review, and executive-level conversations - You’re a strong coach who helps Account Executives sharpen discovery, messaging, deal strategy, and negotiation - You’re highly strategic and structured, able to build repeatable systems and scalable enterprise sales motions - You’re comfortable owning forecasts, running deal reviews, and driving predictable revenue outcomes

Location: San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp is looking for a Senior Growth Designer to join our high-performing Growth Creative team. This role is ideal for a hybrid thinker—someone who thrives at the intersection of creative experimentation and data-driven strategy. You’ll be responsible for building high-quality, high-performing assets across paid and owned channels that break through the noise, push our brand forward, and convert viewers into loyal customers. Please note that this Brand Designer role will require you to be comfortable with working in-person in our San Francisco office at least 2 days/week WHAT YOU'LL DO - Concept & Execute Rapidly: Develop smart, fast creative work—from concept to final execution—across digital ads, landing pages, and scalable multi-channel campaigns. - Design with Purpose: Combine brand fidelity with performance goals to design work that entertains, educates, and drives leads. - Collaborate Cross-Functionally: Partner directly with an assigned Growth Marketing Manager to push their initiatives further, faster. Go beyond execution to a place of thought partnership, working week over week to unlock the next big opportunity. Collaborate with writers, animators, editors, web designers, and creative directors to execute full-funnel campaigns. - Work Hand-in-Hand with Design Systems: Partner closely with our Brand Systems team to ensure all growth creative adheres to our evolving visual language—while also exploring new executions that stretch and strengthen the system. - Relay Insights Back to Brand: Share creative performance learnings with the broader design and brand teams to help inform long-term creative strategy, visual identity evolution, and cross-channel cohesion. - Iterate & Experiment: Test hypotheses and optimize based on results. Success is measured not just in aesthetics, but in originality, clarity, product accuracy, and performance metrics. - Explore New Channels: Help identify and unlock opportunities across emerging formats and placements while continuously improving our core performance channels. WHAT YOU NEED - 5–7+ years of experience in design, with strong portfolio examples of performance creative or digital advertising. - Proven ability to deliver exceptional design work at high velocity. - Fluency in Figma and Adobe Creative Suite (motion and prototyping experience is a plus). - Experience working closely with creative, marketing, and brand teams in high-growth environments. - A passion for systems thinking and improving creative processes over time. - AI processes already baked into your production workflow WHAT SETS YOU APART - Creative Firepower: You bring a distinct, refined visual style—but can flex to meet performance and brand needs alike. - Advertiser’s Mindset: You understand how to capture attention in seconds, communicate a core message, and guide people to take action. - Data-Inspired: You're energized by performance metrics and see them as creative levers that sharpen your thinking. - Builder at Heart: You have a proactive, positive attitude and are equally excited to push boundaries as you are to scale winning ideas. - Organized & Nimble: You juggle multiple projects with grace, manage your timelines, and thrive in fast-paced environments. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: New York; San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We are looking for PhD research interns with strong research experience in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team. WHAT YOU’LL WORK ON: - Improve existing methods and develop new techniques for large-scale model training, optimization, and inference - Extend models to long-context and long-horizon tasks - Improve inference-time efficiency, reliability, and robustness in high-stakes real-world deployments YOU MAY BE A FIT IF: - You’re currently pursuing a PhD in computer science, machine learning, or a related field - You have a demonstrated record of research in reinforcement learning, machine learning, foundation models, or related areas - You have experience developing and evaluating large-scale models or machine learning systems - You’re familiar with distributed training, large-scale inference, or multi-GPU environments - You have publications at leading venues such as NeurIPS, ICML, ICLR, CVPR, CoRL, UAI, JMLR, or TMLR - You have strong programming and engineering skills and can translate research ideas into working implementations - You have a collaborative, mission-driven mindset and can work effectively across research and engineering teams

Location: Quebec Workplace: onsite (Version française ci-dessous)   With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games. As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for an additional Lead Graphics Programmer to join the team and help us in crafting the high calibre games our fans have come to expect.   Responsibilities    Lead, mentor and coach our Graphics team Assist with recruiting of Graphics Programmers Manage code reviews and code features documentation Work in tandem with Larian Studios other programming Leads Assist in maintaining, porting and extending our proprietary engine on multiple platforms Debug and optimize code to hit quality and performance targets Show a strong passion for low level coding and a big interest in performance analysis Complete all tasks in a timely manner and to a consistent high quality standard  Develop well designed software within project schedule to team standards Show strong passion for making the highest quality state of the art games  Safeguard company assets including source code, art work, tools, technical know-how   Requirements    Demonstrable Lead or Management experience Extensive experience programming for games Excellent C++ skills Strong mentor and coaching ability Passion for making and playing great games Experience with graphics APIs like Directx 12 and Vulkan Experience with a wide range of CPU and GPU profiling tools Multi threading should be second nature This is a full-time, on-site role, requiring your presence in the office to support collaboration and creativity. A professional level of written and spoken English*   What we offer:   An international team of over 600 employees spread across 7 studios around the world, each of which have their own unique qualities, and maintain a small-studio feel An open, collaborative environment where ideas are welcome and encouraged A managerial team consisting of highly experienced game developers at the top of their fields Sharing hobbies and passions with like-minded colleagues Inclusive environment with many activities organized by the studios or the employees Commitment to making the best game possible for the fans, including listening to community feedback * Due to the global nature of our operations and the need to engage daily with an international team, fluency in English is essential for this position at Larian.   ------------------------------------------   Maintes fois primé, Larian Studios a amplement démontré sa volonté de proposer des jeux de rôle de très haute qualité. À l’heure où le studio à l’origine de titres comme Baldur’s Gate 3 et Divinity: Original Sin 2 se tourne vers de nouveaux projets, nous sommes en quête d’un programmeur de graphismes principal qui rejoindra l’équipe et nous aidera à créer les jeux d’excellence auxquels nos fans sont habitués.   Responsabilités    Diriger et encadrer notre équipe Graphismes Aider à l’embauche de programmeurs de graphismes Gérer les revues de code et la documentation des fonctionnalités du code Travailler de concert avec les autres responsables de la programmation de Larian Studios Aider à la maintenance, au portage et au développement de notre moteur propriétaire sur de multiples plateformes Déboguer et optimiser le code pour atteindre nos objectifs en termes de qualité et de performance Démontrer une passion évidente pour la programmation de bas niveau et un intérêt manifeste pour l’analyse des performances Mener les tâches à bien dans les délais et selon des normes élevées et systématiques de qualité  Développer des logiciels de qualité en respectant les échéances des projets et en satisfaisant les normes de l’équipe Démontrer une volonté manifeste de créer des jeux du plus haut niveau de qualité possible  Assurer la protection des ressources de l’entreprise telles que le code source, les illustrations, les outils et le savoir-faire technique   Profil recherché   Une expérience démontrable dans le domaine de l’encadrement Une expérience très poussée dans la programmation de jeux D’excellentes compétences en C++ Des compétences avancées d’accompagnement et d’encadrement La passion de faire, et de jouer à, des jeux exceptionnels Une expérience avec des API graphiques comme DirectX 12 et Vulkan Une expérience avec un large éventail d’outils de profilage d’unité centrale et de processeur graphique Le multithread devrait être un réflexe Ceci est un poste à temps plein dans nos locaux. Votre présence au bureau est requise pour favoriser un esprit de collaboration et de créativité. Bonnes compétences orales et écrites en anglais*   Ce que nous proposons   Une équipe internationale de plus de 600 employés répartis dans 7 studios à travers le monde, chacun avec ses propres qualités uniques, le tout en conservant une ambiance conviviale de petite entreprise Un environnement de travail ouvert et collaboratif, où les idées nouvelles sont encouragées et bienvenues Une équipe de gestion composée de développeurs expérimentés et au sommet de leur art Des collègues ayant les mêmes valeurs, avec lesquels partager vos passions et vos passe-temps Un environnement inclusif avec de nombreuses activités organisées par les studios ou les employés Un engagement à réaliser le meilleur jeu possible pour les fans, en prenant en compte les commentaires de la communauté   * En raison de la portée mondiale de nos opérations et de la nécessité d'interagir quotidiennement avec une équipe internationale, des connaissances professionnelles en anglais sont indispensables pour ce poste chez Larian.

Location: Limassol, Cyprus Workplace: on-site The Team Lead is responsible for leading a cross-functional engineering team with a focus on delivering operational excellence, fostering team growth, and aligning delivery efforts with business objectives. This is a foundational leadership role that ensures team effectiveness through strategic planning, performance management, and strong collaboration with technical and business stakeholders. The Team Lead acts as a force multiplier, enabling individuals and the team to succeed. Job Responsibilities Team Operations & Performance: Organize and manage the daily operations of the team, including workload planning and delivery execution. Facilitate key team rituals such as sprint plannings, stand-ups, retrospectives, and grooming sessions. Act as the primary resolver of team-level blockers and escalate issues when appropriate. Track key performance metrics and ensure alignment with business expectations. People Management & Development: Lead recruitment efforts in collaboration with the hiring team; participate in interviews and decision-making. Own onboarding and offboarding processes to ensure smooth transitions. Set clear goals for team members and conduct regular one-on-one meetings to discuss performance, growth, and well-being. Drive motivation and engagement by fostering a positive team culture and identifying risks of burnout. Develop and review individual career plans; provide timely and constructive feedback. Conduct performance reviews and participate in compensation and promotion discussions. Planning & Prioritization: Oversee task decomposition and estimation. Distribute and monitor progress on tasks, ensuring alignment with project goals and team capabilities. Balance urgent needs with planned initiatives and drive prioritization discussions with stakeholders. Manage sprint priorities and ensure team members understand focus areas. Cross-Functional Collaboration: Act as a central point of contact for product managers, project managers, and other team leads. Coordinate cross-team tasks and dependencies to reduce delivery friction. Communicate breaking changes and key updates to relevant teams in a timely manner. Foster transparency and efficiency in cross-team workflows. Risk Management: Monitor and mitigate team-level risks including bus factor, knowledge silos, and delivery blockers. Proactively address risks related to team structure (e.g., attrition, promotions, reassignments). Collaborate with Technical Leads to identify and plan for technical risks and maintenance efforts. Provide input into workforce planning and hiring priorities. Process & Continuous Improvement: Track and analyze team-level and product-related metrics; define and maintain baselines. Challenge the validity and usefulness of existing metrics and propose improvements. Implement and adapt new team processes, assess adoption, and collect feedback to iterate. Pilot process innovations at the team level and support broader adoption if successful. You’ll thrive here if you have In general: 6+ years in software engineering, with at least 2 years in a leadership or management role. Experience leading cross-functional teams (engineers, QA, product/design if applicable). Proven success in delivering projects on time and aligned with business goals. Familiarity with agile methodologies (Scrum/Kanban), ability to adapt processes. Prior involvement in recruitment, onboarding, and performance reviews. Hard Skills: Strong understanding of the software development lifecycle, architecture, and engineering best practices. Ability to decompose tasks, estimate workload, prioritize effectively, and track progress. Experience defining, tracking, and improving delivery, quality, and cycle time metrics. Ability to identify delivery, knowledge, and people-related risks, and plan mitigation strategies. Experience managing dependencies, communicating changes, and ensuring alignment across stakeholders. Ability to implement new processes, measure adoption, and iterate based on feedback. Soft Skills: Ability to foster a positive culture, maintain morale, and prevent burnout. Skilled in goal-setting, career planning, coaching, and giving constructive feedback. Able to mediate disputes, handle underperformance, and maintain productive dynamics. Strong communication with both technical and non-technical stakeholders. Balances immediate delivery needs with long-term improvements and business objectives. Comfortable adjusting processes, priorities, and focus in changing environments. Must-have Behaviors: Takes ownership of delivery and team health. Proactive in identifying problems before they escalate. Acts as a force multiplier, enabling others rather than micromanaging. Challenges assumptions (processes, metrics, plans) constructively. Demonstrates transparency and fairness in decisions around performance, compensation, and promotions. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities. Recruitment process HR interview (45 min). First Interview: Team & Process Block (60 min). Second Interview: Business & Technical Block (60 min). Possibly can be arranged a Final cultural fit interview / Q&A (60 min).

Location: Barcelona, Spain Workplace: remote Welcome to OLX  We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible. We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust. Our brands – including AutoTrader, OLX, Otomoto, Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.  Join OLX and see how far you can go. We believe the future of our products sits at the intersection of AI and design. Our ambition is to become an AI-native organization, where intelligent systems and human-centered design come together to create faster, smarter, and more meaningful customer experiences. We’re rethinking how products are built, how experiences are shaped, and how teams deliver impact. A key part of this transformation is creating the right foundations and infrastructure to enable high-quality experiences at scale - where design systems, patterns, and workflows are structured, scalable, and AI-readable, unlocking new levels of speed, consistency, and innovation. The role We're looking for a Senior Product Designer to join our Design System team, working across our Real Estate products. You'll play a key role in evolving our design system, helping designers and engineers across the business design and build with greater consistency, quality and pace. You'll work day to day within a small, dedicated pod, spanning web and app. But the system serves designers across multiple tribes, each shipping their own product work. You'll work within our contribution model, helping teams outside the pod propose, adopt and evolve components without fragmenting the system. We're looking for someone with strong craft, attention to detail, and curiosity about systems thinking and AI-assisted workflows. You'll help create a coherent product experience across our brands while developing your own design systems practice. Key responsabilities: Design and evolve reusable components, patterns and foundations within our design system, reducing duplication and improving consistency across tribes Define component behaviour, states and variants, working directly with engineering to ship them Run and improve the contribution model: the process and standards that let designers outside the core pod propose and ship components without breaking system coherence Support design work from problem framing through to documentation and handover, using research and feedback from teams to inform decisions Create clear documentation and specifications covering variants, edge cases and usage guidance Collaborate closely with engineers on token strategy and the practical link between Figma and production code Resolve conflicts between a tribe's local need and the system's long-term coherence Work with product design teams to identify gaps and embed stronger systems thinking across products AI-enabled Design Systems: Use AI-assisted tooling as part of your daily workflow, from research through to prototyping and component definition Contribute to making the system well-structured for AI-assisted workflows, including tokens, documentation and reusable patterns Know when to override AI output with your own design judgment, and be able to explain why What we're looking for: Proven experience designing and maintaining a design system at scale, not just documenting one Experience running or contributing to a contribution model, or a clear point of view on how you'd build one Strong technical fluency: you understand how your decisions translate into code, and work with engineers as a peer, not a handoff Sharp judgment on trade-offs: when to enforce consistency, when to allow exceptions Strong communicator, able to justify design system decisions to stakeholders who don't share your priorities, and bring other designers along rather than dictate to them Comfortable with AI-assisted tools, with an interest in applying them in practical ways to improve speed, quality and consistency Required experience A portfolio demonstrating strong product and systems thinking, with evidence of shipped impact, not just documented patterns Experience working in Figma, including component libraries, variables and tokens, alongside experience with built or coded prototypes Experience working closely with engineers to deliver high-quality, scalable outcomes Experience or strong interest in AI-assisted design or development workflows Hiring Process First Stage - Recruiter Screen This is your first interview with our Talent Acquisition team. We’ll explore your background, skills, and experience, as well as your approach to autonomy, ownership, and critical thinking. It’s also a chance to discuss your aspirations and ensure alignment with our culture and values. Second Stage - Portfolio Review In this stage, you’ll meet with the Hiring Manager and a Designer from the team. We’ll explore your process thinking and approach to design through a case study of your choice. This is also a great opportunity to discuss how you collaborate with others and how your values align with our team culture. Third Stage  - AI Sandbox Challenge This is a dynamic and interactive session where you’ll have the chance to demonstrate your thought process in action. It’s designed to give us insight into how you approach challenges, integrate AI into your workflows, and apply your skills in a practical setting. We aim to make this process clear, collaborative, and reflective of the way we work as a team. DEI statement OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don't meet all the requirements - you may be just the right fit for this or other opportunities with us.  Privacy Data disclaimer OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: Canada; Calgary; Winnipeg; Vancouver; Halifax; Edmonton; Toronto; Victoria; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models, to be exact) learn in similar ways to humans, by way of feedback. By labelling, ranking, auditing, and correcting model output, you will improve Large Language Models' performance for iterations to come, thus having a lasting impact on Cohere's technology. We are hiring Generalist professionals with broad backgrounds that span multiple consumer-facing or personal domains. This is a judgment-driven role, not passive data entry. You will review, assess, and provide structured feedback across a broad and evolving range of tasks, evaluating, stress-testing, and improving our models on English-language data spanning multiple modalities (text, image, and structured formats such as JSON, CSV/TSV, and Markdown). This is a great opportunity for professionals with strong analytical skills to contribute to high-impact annotation projects. Please Note: This is a part-time independent contractor position available within Canada only. We seek candidates who can commit to 16 hours per week at a CAD $30/hour contract rate. This role is BYOD 💻 (Bring Your Own Device, laptop). This position is remote. As an Data Annotation Specialist, you will: - Evaluate and rank model outputs: Complete preference and comparison tasks, assessing which responses best conform to project guidelines for accuracy, helpfulness, tone, and safety, and writing clear justifications for your judgments. - Stress-test and break models: Probe models adversarially to surface failure modes, unsafe behavior, and capability gaps, and document reproducible cases that engineering and research teams can act on. - Create datasets: Author high-quality prompts, responses, and exemplars to build training and evaluation datasets, following detailed specifications and editing machine-written or human-written outputs to standard. - Build and apply rubrics and taxonomies: Contribute to the design of grading criteria and rubrics, then apply them consistently to produce structured, high-quality annotations across task types. - Annotate and correct multimodal data: Label, audit, and rectify inaccuracies across text, image, and structured data, maintaining a high standard of data integrity and accuracy. - Calibrate and maintain consistency: Participate in calibration exercises and inter-annotator agreement checks to align on standards, and flag ambiguous or uncovered edge cases rather than guessing, since a single misjudgment replicated at scale degrades a model. - Adapt to experimental work: Take on new and evolving task types as project needs shift, applying sound judgment in areas where guidelines are still being developed. - Report on model performance: Surface and communicate quality and performance trends in model and agent behavior, giving cross-functional partners clear, well-evidenced feedback on where models succeed, fail, and degrade. You may be a good fit if you have: - 1+ years of experience in AI data annotation, LLM evaluation, content moderation, research, or a related analytical role, with exposure to quality assurance, and/or preference ranking. - Experience applying detailed guidelines to complex and often ambiguous content, with strong contextual and sociocultural judgment, sensitivity to nuance, tone, and register, and the ability to reason well in cases where there is no single correct answer. - Comfort with ambiguity: a willingness to flag unclear or uncovered edge cases rather than guess, and to work productively on novel, experimental tasks whose definitions are still evolving. - A sharp, curious eye for inconsistencies, subtle errors, and model failure modes, including the instinct to probe models adversarially and surface where they break. Familiarity with how large language models behave, such as hallucination, sycophancy, and instruction-following gaps, is a plus. - Excellent command of written English and strong reading comprehension, with the ability to clearly justify your evaluations, including why an output is correct or incorrect, high-quality or low-quality, and to write clear prompts and exemplars that explain your reasoning. Bonus points if you are fluent in another language! - Strong attention to detail and commitment to accuracy, with the ability to maintain consistency across high-volume and monotonous tasks. - Comfort working with annotation platforms and structured formats such as JSON, CSV/TSV, Markdown, XML, and YAML. - Strong execution in a remote environment, including good time management, comfort using new tools, and the ability to work independently in a global, asynchronous team. Candidate Journey - Initial Screening: Our Talent Team will review your application. - First Assessment: If selected to move forward, you’ll receive a multiple-choice assessment by email. - Second Assessment: Candidates who achieve a passing score will be contacted by a member of our team to complete a more comprehensive assessment focused on their area of expertise. - Video Screen: If selected to move forward, you’ll have a short video call with a member of our Operations Team. - Final: Selected candidates will receive an Independent Contractor Agreement. As an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously, although we ask you to declare if any of these are with a direct competitor of Cohere and maintain IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by contractors invoicing for services provided pursuant to the terms of our agreement with the contractor. It is important to understand that as an independent contractor, continuous work is not guaranteed. The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability. As an independent contractor, you should anticipate fluctuations in workflow and, therefore, compensation for services when Cohere does not require as many hours of services in a week. Prospective candidates, please be advised: this role involves working with human-generated and model-generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material.

Location: Remote; Denver, CO; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE Open to hiring remote across North America - NYC, San Francisco, or Denver preferred. Runway is scaling its Enterprise revenue organization with leaders who know how to build and scale high-performance teams. And, who can operate a revenue machine while keeping customer value in mind - leading our industry-based revenue pods responsible for both net-new ACV, NRR, and Renewal. This role is designed for the leader who wants to accelerate their CRO career trajectory. Someone who knows how to build and scale teams and leadership excellence from $100M to $500M+ organizations, operate in AI-native fluid environments, and have experience selling-to, expanding, and renewing with client operators from across a variety of ICPs (From operators in Marketing, HR, Operations, and Finance, to technologists in AI, IT Infrastructure, and Security). Runway is searching for leaders who enjoy the build - hiring top-performing AEs and frontline leaders to grow your teams for scale. You’re a leader-of-leaders who lead hybrid revenue pods of AEs + Engagement managers. We expect you to think like a CRO - every pod is effectively a P&L, expansion is as much your number as new logos, and any customer who signs needs to see value through consumption of the Runway platform. If you have only ever inherited a running enterprise org, this is not the right fit. If you have built one, we'd like to talk. WHAT YOU'LL DO - Build and lead an Enterprise segment of 3-4 frontline sales managers; each with 3-5 revenue pods beneath them with operating Enterprise Account Executives and Engagement Managers in each pod. At scale, this role leads 25 - 40 GTM teammates - Own the segment's new ACV and NRR targets - both numbers, one owner, reviewed weekly with the CRO - Engage personally with C-level executives on accounts, building business cases and navigating procurement, security review, legal through to production deployment - Run the operating rhythm: forecasting to +/-5%, deal inspection, pipeline generation discipline, and account planning across a long-cycle book - Ensure that each of your leaders engages their revenue pods (AE + Engagement manager) to drive license consumption and value output. The more we invest in our customer’s adoption, the more everyone wins. WHAT YOU'LL NEED - 12+ years of enterprise software sales with 5+ years leading enterprise sales organizations with experience as a second-line leader - A validated record of building - you have grown an enterprise segment past 25 sellers and beaten the number while doing it - Personal history of closing and sponsoring $250k-$1M+ ACV deals with $1B+ revenue companies - Experience running consumption or usage-based revenue models, where expansion is earned through customer value - Fluency with modern AI - you use these tools daily, operate your team with them to drive productivity, you can demo Runway credibly to a CMO or CTO, and you have a defensible point of view on where generative media is going - Deep understanding of MEDDPICC and Command of the Message to reinforce value-orientation and deal progression with your teams - A record of exceeding quota year-over-year STRONG CANDIDATES MAY ALSO HAVE - Experience selling API and AI infrastructure solutions to CTO / CIOs - Sold creative, media, or content technology to Fortune 500 marketing and studio organizations - Built vertical pod or team structures with shared new ACV + NRR%/Renewal ownership - Scaled a GTM org through the $100M to $500M+ revenue stage COMPENSATION OTE $400K - 475K (60/40 base to variable). Offers equity. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Commercial Point, OH Weekly Pay | 35% Babylist Discount | Paid Holidays | Paid Healthcare Benefits What The Role Is Babylist is hiring an Assistant Manager of Fulfillment Operations for Day Shift at our fulfillment center in Commercial Point, Ohio, just south of Columbus. This is a hands-on, floor-first leadership role at the center of our day-shift operation, with direct ownership over a significant portion of the FC, including picking, packing, and kitting. You will report to and work closely with the Operations Manager, with supervisors reporting directly to you. Our fulfillment center is growing fast, and this role is part of how we invest in that growth. You will lead the floor across multiple workflows, coach and hold your supervisors accountable, and partner with our Senior Fulfillment Analyst to build labor plans that match inbound and outbound volume. This is a role for a leader who stays visible on the floor and is energized by engaging with supervisors and hourly team members every day, while driving safety, performance, and results across a shift of 190+ team members. Schedule : Monday through Thursday, with core working hours of 7:00 a.m. to 5:30 p.m. This is an exempt position and requires availability before the start of the shift, as well as after the shift when needed, to support opening responsibilities, end-of-shift duties, and wrap-up activities. About Pay We pay competitive market rates. Starting salary for this position is $82,800 to $89,640 annually Holidays Observed The Fulfillment Center is closed on the following days for day shift in 2026: New Year's Day Memorial Day Thanksgiving Day All shifts receive 4 floating holidays in addition to the holidays observed, so you can celebrate what matters to you the most, whenever that may be. Who You Are Experienced Fulfillment Leader Who Has Led Other Leaders: You bring 8+ years of management experience in a warehouse or fulfillment environment, including at least 3 years managing supervisors or other people-leaders. This is not your first move from supervisor into management. Floor-First Operator: You lead from where the work happens and are comfortable directing multiple active workflows at once Culture-Focused and Visible: You stay on the floor and are energized by engaging with supervisors and hourly team members every day Process-Oriented Problem Solver: You excel at implementing efficient processes, optimizing workflows, and holding standards steady under pressure Results Driver: You have a proven ability to drive safety, performance, accountability, and operational results in high-growth or fast-paced environments. Start-up experience is a plus Supportive Team Leader: You are skilled at coaching and mentoring supervisors and building a collaborative, accountable team Operationally Savvy: Warehouse management systems (WMS), inventory control, and order fulfillment processes are second nature to you Safety Champion: You prioritize workplace safety and compliance with all relevant regulations Effective Communicator: You build strong relationships across shifts and keep everyone aligned on priorities, especially at handoff How You Will Make An Impact Lead the Floor: Provide direct, in-person leadership across kitting, picking, packing, outbound sortation throughout the day shift Own Shift Handoff : Be actively engaged onsite after the end of shift to assist your floor leadership with handoff communications, reporting and activities Build Labor Plans: Partner with the Senior Fulfillment Analyst to align staffing to inbound and outbound volume Support Daily Operations: Manage daily workflows and ensure orders are fulfilled accurately and on time Develop the Team: Coach, train, and mentor your supervisors, building a culture of growth, accountability, and engagement Optimize Processes: Identify areas for improvement and implement solutions that drive efficiency and reduce waste Monitor Performance: Track KPIs and make data-driven adjustments that keep the shift performing at its best Promote Safety: Enforce safety protocols and maintain a secure environment for all team members Collaborate Across Teams: Work closely with the Operations Manager and cross-functional partners to align on priorities Physical Requirements Stand and walk for extended periods (up to 10-12 hours per shift) with scheduled breaks Walk the floor extensively, averaging 10,000+ steps per day Lift and move items up to 20 lbs regularly throughout the shift Frequent pushing, pulling, bending, twisting, and repetitive motion Who We Are At Babylist, the work our fulfillment teams do reaches millions of families across the country — whether you're on the floor moving product or leading the operation that makes it happen. We're one of the leading platforms for expecting and new families — a $750M business with 10 million customers and eight consecutive years of profitability. Our fulfillment centers are where the mission becomes real, and the people who run them are a core part of how we deliver on it every single day. Our Ways Of Working Our fulfillment teams work on-site in a fast-paced, team-driven environment where every role — from the floor to leadership — plays a direct part in delivering the Babylist experience to millions of families. Why You Will Love Working at Babylist Our Culture Work hard, then recharge — we respect your time on and off the clock Strong management team that supports you and your team The work you do helps millions of families every day We use smart technology to make the job easier and more efficient Growth & Development Clear paths to move up — we promote from within and your performance matters We use data to improve how we work and invest in the people doing it Pay & Benefits Competitive pay on a weekly basis Bonus opportunities Company-paid medical, dental, and vision insurance 401(k) with company match and flexible spending accounts Paid parental leave and PTO Important Notices Recorded Interviews Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription. Interview Integrity AI is part of how we work at Babylist, and we expect the same from the people who join us. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles. Connections at Babylist If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone. Protect Yourself from Scams All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email it's not us. Verify open roles at babylist.com/careers.

Location: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. ABOUT THE OBSERVABILITY PLATFORM TEAM The Observability Platform team exists to make production legible to every engineer and AI agent at Wealthsimple, on their first day and every day after. Every request, job, and user action produces a signal, and our job is to turn that signal into a fast, high-cardinality data asset that anyone can question. A business stakeholder investigating a drop in conversions, a service owner tracing a slow endpoint, an engineer validating a release, and an AI agent confirming its own change should all reach for the same data and get an answer in seconds. We treat the platform as a product, and the engineers, service owners, and business stakeholders who depend on it as our partners. Our mission is to build the wide-event data model, the query foundation, and the golden paths that connect people to production data. We instrument on open standards such as OpenTelemetry so switching costs are a configuration change rather than a rewrite, and we optimize for the questions people did not anticipate rather than for pre-built dashboards. As the founding Software Development Manager for this team, you will hire and lead the engineers who build this foundation, and set the technical vision that shapes how Wealthsimple understands its systems for years to come. IN THIS ROLE YOU'LL HAVE THE OPPORTUNITY TO: - Build the wide-event data model at the heart of the platform. Lead an events-first foundation on open standards such as OpenTelemetry, including the schema, SDKs, libraries, and instrumentation defaults that make rich, consistent, high-cardinality telemetry the path of least resistance for every team. - Build the query foundation that connects people to production data, and make it legible to AI agents. Design the columnar or streaming backends, the tagging and context-propagation standards, and the access patterns, including protocols such as MCP, that let a business stakeholder, a service owner, an engineer, or an AI agent ask an unanticipated question and get a fast answer. - Connect production data to business impact. Tie telemetry to client experience and business outcomes through SLOs and user flows, so teams see a problem in the numbers that matter before clients feel it. This is detection framed as a data question, not a wall of machine-state alerts. - Define what observability means at Wealthsimple, set a multi-year roadmap, and align engineering and leadership behind it. - Own the tool and vendor strategy across the observability stack, including how we get the most from Datadog while reducing lock-in and managing cost. - Prove value on pilots. Start with one or two teams to validate the approach before scaling it across the organization. - Hire and lead the team, and own career development, performance management, coaching, and a culture of technical excellence. - Stay hands-on, and move fast with AI coding tools such as Claude Code fluently to prototype, unblock the team, and raise its bar for building with AI. WHAT YOU'LL BRING: - 7+ years in software engineering, with a software development background. You build platforms as software, with the testing, design, and engineering rigor that implies. - Direct, hands-on experience treating telemetry as a data problem. You have designed wide structured events, managed high cardinality, and worked with columnar or streaming backends, sampling, tagging, and context propagation. This is the core of the role. - Direct experience building an observability, telemetry, or production-data platform before, so you are not learning the problem space on the job. You do not need to have built a commercial product such as Datadog or Honeycomb, but you have built the equivalent inside an engineering organization. - A track record of building SDKs and shared platforms in a platform, data, or foundations team. You have shipped the libraries, paved roads, and defaults that other engineers build on, and you treat those engineers as partners. - Fluency with OpenTelemetry or an equivalent, and with SLI and SLO design that ties signals to client experience and business outcomes. - 3+ years of engineering management experience, developing engineers and delivering complex initiatives through both growth and change. - The ability to set a vision, sequence the work, and move engineering and leadership toward it. - Strong people leadership and cross-boundary influence. You grow careers, give clear feedback, build inclusive teams, and build trust with peer managers, senior leadership, service owners, and business stakeholders. NICE TO HAVE: - Experience with columnar stores such as ClickHouse, streaming systems such as Kafka, or query engines built for high-cardinality analytics. - Experience building observability for LLM and agent-based workloads. - Familiarity with self-serve data access, semantic layers, or data cataloging that helps non-experts find and query the right signal. - Experience in a regulated or fintech environment. WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.