Вакансии

Location: Dubai, United Arab Emirates Workplace: on-site About HIVE HIVE is a new business center on the full 14th floor of i-Rise Tower in Barsha Heights. 119 private offices, four meeting rooms, a podcast studio, a café and a 30-seat lounge, all run by one team at one address. Our promise to members is simple: everything you need to work, nothing you need to worry about. We open in December 2026, and we are hiring the people who will make the first impression. About the role: We are looking for a senior and junior front desk & member experience to join our team. As a front desk & member experience, you are the first person every member and guest meets, and the person who keeps the floor running everyday. You run the front desk, look after members from their first visit to the day they move out, support sales with tours, take payments, and make sure every room, service and request is handled the way a good hotel would handle it. This is a hospitality job in a business setting. The senior role also covers for the manager, prepares proposals and focuses on client work. The junior role focuses on phones and general admin. You work in HIVE own app and CRM, so everything you do is recorded and paperless. Responsibilities: Welcome and visitors Welcome every member and guest by name where you can; offer water and tell them what happens next. Register visitors in the app, issue visitor passes and let the member know their guest has arrived. Keep the reception desk, lobby and lounge presentable all day: tidy, quiet and ready for a tour at any moment. Handle after-hours guest access requests and the building’s visitor and parking registration. Phone, WhatsApp, e-mail and call answering Answer the main line within three rings; reply to WhatsApp, e-mail and website enquiries the same working day. Answer calls for members who use the call-answering service, in their company name and with their greeting; take the message and log it in the app so the member gets it by app and e-mail. Log every new enquiry in the CRM with source, needs and next step; never leave a lead without a follow-up date. Bookings: meeting rooms, podcast studio and zoom cabinets Take and confirm bookings in the app; explain prices and the 8 included hours a month to members. Prepare each room before the booking (screen, cables, water, clean table) and reset it after. Send quotes for guest bookings and studio sessions; follow up until confirmed or released. Check no-shows and late cancellations and record them for billing. Sales support and tours Show offices to walk-ins and booked visitors when the manager is busy; know every office type, view and price. Send the offer from the CRM after the tour and hand the lead to the manager to close. Keep the availability list current so nothing is offered that is already reserved. Support brokers and agents who bring visitors: register the referral in the app before the tour. New members: move-in Guide new members through the online steps in the app: company details and identity check (KYC), signing, payment. Check identity documents against the originals at handover and confirm it in the app. Hand over the office with the move-in checklist and photos; issue access cards to each team member. Explain the house rules on day one: no food or drinks inside offices (pantry, café and lounge only), noise, visitors, parking. Members day to day Receive and log mail and courier deliveries; notify the member the same day and keep a signed hand-over record in the app. Handle team changes: add and remove people, issue and deactivate cards, replace lost cards (and charge the card fee). Take requests for extras (parking, phone line, printing, team time, IT tasks, café on account) and record them so they reach the monthly statement. Write down what members ask for or complain about and tell the manager, so problems are fixed before they grow. Politely remind members of the house rules when needed and record repeated breaches for the manager. Payments and billing Take payments at the desk by card machine and cash (within the cash limit) and record each one against the invoice in the app; the member gets the receipt at once. Run the daily cash-up at closing: cash counted and card-machine total checked against what was recorded; report any difference the same day. Help prepare the monthly statements: check room hours, printing, café and studio lines before the manager approves them. Follow up unpaid invoices with friendly reminders, as set by the manager. Facilities and housekeeping Raise facilities tickets (air conditioning, lights, internet, doors, furniture) in the app and follow them until closed. Coordinate the cleaning team (3 times a week per office) and the quarterly pest control and deep cleaning with members, giving notice in the app where possible. Walk the floor several times a day: meeting rooms, pantry, zoom cabinets, printers, toilets and lounge; fix or report what is not right. Keep printers stocked, check paper and toner, and help members with printing PINs. Move-out Confirm the last day after the member gives notice in the app; book the handback. Do the handback checklist with photos, collect every card and key, and note damage for the deposit statement. Opening, closing and safety Open and close the front desk with the daily checklist: lights, screens, rooms, lounge, doors and alarms. Know the emergency plan: fire exits, first aid, evacuation, and who to call for building issues. Never give access, keys or information to anyone not authorised in the app. Team time and community Deliver & ‘‘team time’’; requests for members (bookings, travel, sourcing, small admin tasks) and log the hours. Help run the monthly members; evening and small events. Cover the café counter for short breaks when the barista needs help. Experience in admin, customer service and client care. Where you learned it does not matter. Warm, calm and well presented. Problems get solved with a smile. Fluent spoken and written English. Arabic is a strong advantage. Confident with software: bookings, invoices, a CRM. Quick to learn new tools. Happy to show a space and talk about prices; you like people and you like a tidy floor. Based in the UAE and able to start within four weeks.

Location: Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Role Overview The Assistant Financial Controller supports Tavily's accounting, closing and financial reporting. Reporting to the Financial Controller, the role prepares accounting schedules, reconciles balances and helps maintain accurate, timely financial records. The successful candidate will work closely with internal teams and external partners in a dynamic, cross-functional finance environment. Key Responsibilities Participate in monthly, quarterly and annual closes, preparing journal entries and schedules. Prepare balance sheet reconciliations, including cash, receivables and payables; investigate discrepancies and follow up with bookkeeping providers and internal teams. Support revenue accounting for enterprise contracts, subscriptions, API credits and usage-based billing, including reconciliations of deferred and unbilled revenue. Review customer order forms for financial accuracy, billing schedules and payment terms; coordinate invoicing, billing queries and collections with Sales and Revenue Operations. Prepare intercompany reconciliations and assist with consolidation entries and financial reporting across the group. Assist with financial statements, management reports, cash reporting and analysis of significant changes in results and budget variances. Prepare schedules and supporting documentation for external audits and tax filings, working with the Controller and external advisers. Coordinate vendor and payment documentation, review expense coding, and resolve transaction discrepancies with relevant teams and providers. Maintain organized accounting records and help improve workflows, controls and automation; support finance projects as needed. Key Qualifications and Experience Must have qualifications Bachelor's degree in Accounting, Economics, or Business Management. CPA qualification and a completed internship. Suitable for a first role after audit. Strong accounting fundamentals and experience preparing or auditing financial statements, reconciliations and supporting schedules. Strong Excel skills, including pivot tables, lookup functions and working with large datasets. Ability to analyze transactions, identify discrepancies and prepare clear, accurate documentation. Strong written and verbal communication skills in English. Ability to learn new systems, manage deadlines and collaborate with internal teams and external advisers. Preferred qualifications Familiarity with US GAAP, revenue recognition under ASC 606 and accounting for international entities. Exposure to accounting or billing systems such as QuickBooks, Stripe, Ramp or Tabs. Interest in improving finance processes through automation and AI tools. Competencies and Working Style Organized and attentive to detail, with a consistent focus on accuracy. Takes responsibility for assigned tasks and follows issues through to resolution. Curious and analytical, with a willingness to understand the business behind the numbers. Works independently within agreed procedures and raises questions or exceptions promptly. Communicates clearly, prioritizes effectively and contributes practical ideas for improvement. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: New York; Dublin; London Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE ElevenLabs operates a complex and fast-evolving revenue model – enterprise contracts, self-serve API subscriptions, usage-based billing, and expanding international markets. As a Revenue Accountant, you will play a key role in ElevenLabs’ revenue accounting function. You will own significant portions of the monthly revenue close, support the application of ASC 606 to customer arrangements, and help build scalable processes and controls as ElevenLabs grows toward IPO readiness. You will work cross-functionally with Sales, Legal, Billing Operations, Engineering, and FP&A to support contract review, usage and billing completeness, new product launches, and accurate and timely revenue recognition. This is a hands-on, high-ownership role in a lean Finance team – the right person will independently run recurring workstreams, identify issues early, and help scale the revenue accounting operating model as the business grows. WHAT YOU’LL DO - Execute significant portions of the monthly revenue close, including journal entries, deferred and unbilled revenue schedules, reconciliations, and flux analysis - Perform recurring usage / consumption completeness and billing-to-GL reconciliations; investigate exceptions and drive resolution with cross-functional partners - Review customer contracts and apply established ASC 606 guidance to standard arrangements; escalate novel, high-judgment, or precedent-setting matters - Support accounting for credits, refunds, contract modifications, cutoff, and variable consideration, with clear and audit-ready documentation - Prepare revenue workpapers, audit support, and control evidence; support external audit, walkthroughs, and SOX readiness activities - Support accounting readiness and UAT for new products, pricing structures, billing models, and partner / channel launches - Improve and automate recurring revenue processes, reconciliations, documentation, and exception reporting as the business scales REQUIREMENTS - Deep expertise in ASC 606, including multi-element arrangements, SSP evaluation, variable consideration, contract modifications, and principal vs. agent analysis - Experience leading the revenue close: deferred revenue management, unbilled receivables, journal entry review, and month-end flux analysis - Track record of partnering with Sales and Legal on contract review and revenue impact assessments - Experience operating in a pre-IPO or public company environment, with direct exposure to external audit, controls build-out, and revenue accounting documentation - CPA, ACA, or ACCA qualification (active); Big 4 or public accounting background a strong plus - Strong systems proficiency; Stripe, Metronome, HubiFi or a comparable revenue recognition tool preferred BONUS: - Experience with consumption/usage-based and subscription billing models - Familiarity with ASC 326 (CECL) and AR accounting in a high-volume SaaS context - Multi-entity or international revenue accounting background LOCATION This role is remote-first, so it can be executed from anywhere in Central Europe or Eastern US timezones. If you prefer, you can work from our offices in London, New York and Warsaw. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: United Kingdom; Belgium; Poland; France Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. THE ROLE ElevenLabs runs a deliberately lean finance team across 10+ legal entities and 40+ countries. The stack is built around NetSuite, Stripe, Ramp, Deel, HiBob and Pigment, with a BigQuery/dbt warehouse underneath. We want a close where people review exceptions and agents handle the rest. You'll own that stack, from architecture and integrations to controls and vendors. This is a builder role, not a ticket queue. - Run NetSuite end to end. That covers multi-subsidiary setup, chart of accounts and segments, scripting and workflows, release management, and roles and segregation of duties as we build toward public-company controls. - Own the integration layer: Stripe, Ramp, Deel and HiBob into NetSuite, and NetSuite into the warehouse. Month-end should reconcile by design instead of by hand. - Lead selection and rollout of new systems, including usage-based billing and equity administration. You'll also handle the finance setup of every new entity. - Build with AI, alongside our Automations and Data teams. Examples include agents and automations for invoice coding, people-cost reconciliations and accounting requests. - Be the systems voice in finance decisions on new pricing models, new geographies and audit readiness. REQUIREMENTS - You've administered a multi-entity NetSuite OneWorld instance yourself, including SuiteScript/SuiteQL, saved searches, roles and releases. - You've owned an ERP or billing implementation or migration end to end, and you know how Stripe data flows into the ERP and into revenue recognition. - You build integrations, through iPaaS or code, that reconcile and alert when something breaks, and you're comfortable in SQL. - You understand R2R, P2P and O2C and the controls behind them, and you can work with accountants, engineers and auditors in the same week. - You work AI-first: tools like Claude Code or Cursor are part of your day, and you automate a workflow before you staff it. - Bonus: experience with Ramp, Pigment, Metronome or another usage-billing platform, Deel/HiBob, or n8n, or dbt/BigQuery; SOX or ITGC work at a pre-IPO or public company. GROWTH POTENTIAL We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Lead a Finance Systems & Automation team as the company scales. LOCATION This role is remote-first, so it can be executed from anywhere in Europe, with the ability to operate in CET timezones required. If you prefer, you can work from our offices in Warsaw and London. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Remote, Global Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We’re looking for a Software Engineer, AI Tooling Infrastructure to join our AI Tooling team and help build and run the backend services behind Supabase’s AI products. The Supabase MCP server is one example of what the team runs in production, alongside the services that support agent skills and the dashboard assistant. You’ll work closely with the Platform, SRE, Auth, Billing and Edge Functions teams, and with the engineers on the AI Tooling team who build the product surfaces. The AI Tooling team runs its own services in production and carries its own on-call. Traffic from AI clients and agents behaves differently from traffic from people: hundreds of calls a minute, retry loops, and no reading of deprecation warnings. This role makes sure the services they use are reliable, correctly authorized and observable. It is a systems and infrastructure role rather than a product AI role, and it is not an SRE role. You will build and operate these systems, not only advise on them. This role is ideal for someone who thrives in async, fast-paced environments, owns what they ship in production, and is excited about building developer tools that scale to millions. WHAT YOU’LL BE RESPONSIBLE FOR In this role, you’ll: - Build and operate the production backend services behind Supabase’s AI products, including the MCP server: deployment, scaling, configuration and release. - Take ownership of how those services are structured, including splitting or reshaping a service when that makes it safer to run and easier to change. - Define, measure and meet reliability targets for the services the team runs. Set SLOs with the SRE team, track error budgets, and use them to decide what to fix first. - Participate in the AI Tooling team on-call rotation, and be a first responder for incidents in those services. Investigate, fix, coordinate with other teams during incidents, and write the follow-ups and runbooks. - Work the AI Tooling team support queue alongside on-call, and turn recurring issues into fixes rather than repeated manual answers. - Own authentication and authorization for AI and agent clients: OAuth apps, scoped tokens, and permissions that make sense for agents as well as humans, including how we change or deprecate a permission without breaking existing integrations. - Own observability for the services the team runs: metrics, traces, logs, dashboards and alerts, so we find problems before customers do. - Handle capacity and abuse for agent traffic: rate limits, cost and safety controls, and behavior under load or when a dependency degrades. - Improve the architecture of the services the team owns as they grow, including splitting or reshaping a service when that makes it safer to run and easier to change. - Work with the Platform team on shared code, review ownership and release process, and with the SRE team on infrastructure, alerting and incident practice. - Contribute to the code of the AI Tooling team’s tools, such as the MCP server, where it affects reliability and security, in partnership with the engineers who own the product surface. YOU MIGHT BE A GOOD FIT IF YOU Must have: - Have 5+ years of experience building and running backend services in production, and have carried on-call for them. - Write strong TypeScript or Go, and are comfortable working in the other. - Have designed and operated APIs with real consumers: versioning, error handling, rate limiting, and backwards-compatible change. - Know OAuth, OIDC, JWT and API authorization well enough to debug them in production and to explain where implementations commonly deviate from the spec. - Have a good understanding of PostgreSQL and relational databases. - Are comfortable with CI/CD, Docker and containerized deployments, and with infrastructure as code. Any tool is fine. - Can debug across services: follow a slow or failing request through several systems using metrics, traces and logs. - Communicate clearly in writing, work with a wide range of stakeholders, and thrive in async, globally distributed teams. - Are comfortable navigating ambiguity and moving quickly. Pick your centre of gravity. We expect you to be deep in at least one of these, and to tell us which: - APIs and auth: You have designed permission models, token scopes or OAuth flows for third-party or machine clients, and you have migrated them without breaking users. - Operations: You have run production services yourself: carried the pager, written alerts and runbooks, used SLOs or similar to decide what to fix, and made shared systems less risky over time. - Gateways and distributed systems: You have built or run proxies or gateways, or debugged hard failures across services (retries, partial failures, upstream outages, fail-open vs fail-closed decisions), and you can reason about load and degradation. Nice to have: - Experience with agent tooling (MCP or similar), or serving traffic from AI agents and LLM clients. - Experience moving a service out of a larger codebase while keeping existing clients working. - Experience with Grafana, OpenTelemetry, Logflare or a similar observability stack, and real SLO work. - Open-source contributions, especially to Node.js, Go, TypeScript or API tooling. 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: San Francisco; Seattle; New York City; Toronto PERPLEXITY API PLATFORM Perplexity innovates at the frontier of AI infrastructure, search, and orchestration to serve the world's most discerning users. The Perplexity API Platform brings our technology to the world's most discerning developers. From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry. We believe these same building blocks can and should power the aspirations of builders everywhere. It's one thing to solve planet-scale retrieval, long-horizon orchestration, and other foundational AI challenges within a single product ecosystem. The true measure of success is to turn those solutions into elegant APIs that delight developers and agents alike. Our API Platform delivers frontier intelligence to thousands of customers: startups, trillion-dollar enterprises, U.S. and allied governments, and everyone in between. We've achieved incredible scale, yet we're just getting started. Join us to build tools for curious minds. ABOUT THIS ROLE Perplexity is seeking strong engineers with a passion for delivering frontier intelligence and infrastructure to developers. Our company builds technology that reshapes how people search, reason, and interact with the world around them. Week after week, we observe increasing demand for programmatic interfaces to that technology. The API Platform engineering team is charged with designing, implementing, and scaling these interfaces. As a member of our team, you'll work on an eclectic portfolio spanning distributed systems, performance optimization, agent orchestration, and frontier topics that often change with each passing month. Throughout this work, you'll prioritize great developer and agent experience alike. You'll also define technical strategy for how we scale to meet compounding growth exponentials (number of customers, agents per customer, compute/retrieval per agent, etc.). KEY RESPONSIBILITIES - Design, build, and operate mission-critical APIs that provide our customers the building blocks for frontier intelligence. - Own and evolve the API gateway and routing layer: authentication, authorization, rate limiting and quotas, usage metering, and request routing across heterogeneous upstream services. - Build the paved road for API services: standardized service scaffolding, container builds, CI/CD, Kubernetes and Helm deployment, and progressive rollouts with fast rollback, so a new API product goes from idea to production in days, not weeks. - Build API governance into the platform: contract-first schemas, breaking-change detection in CI, versioning and deprecation workflows, and SDKs and documentation generated from a single source of truth. - Unify cross-cutting capabilities (billing and usage, rate limiting, organization and identity settings, analytics and observability) so every API product gets them by default instead of rebuilding them. - Ensure low latency and high throughput through aggressive performance optimization (including on upstream systems). - Harden system security and reliability across heterogeneous compute environments, and operate what you build: SLOs, on-call, and incident response. - Collaborate across teams to bring novel frontier capabilities into the API Platform, and partner with infrastructure teams on compute, networking, secrets, and security. - Continually reimagine the customer needs of tomorrow (and the architectures to serve those needs), while faithfully serving the customer workloads of today. - Uphold engineering excellence through design reviews, code quality, and internal documentation. QUALIFICATIONS - 5+ years of backend engineering experience with Python, Go, or Rust, including significant time building platforms or infrastructure used by other engineering teams. - Strong understanding of high-traffic API design: schema evolution & versioning, idempotency, authentication patterns, rate limiting, and performance tuning. - Hands-on experience building and operating API gateways, reverse proxies, or routing layers: authentication and authorization, rate limiting and quotas, request routing, traffic shaping, and per-request observability. - Experience building API governance tooling: contract-first API design, breaking-change detection and API linting in CI, versioning and deprecation workflows, and SDKs and documentation generated from the contract. - Platform depth across the build and deploy path: you have owned CI/CD pipelines, container builds and base images, infrastructure as code, and progressive delivery (canary or blue-green) on a major cloud. - A track record of owning a platform end to end: identifying the need, designing it, aligning the teams that depend on it, shipping it, and operating it, while raising the engineering bar for the teams building on it. - Strong customer empathy and product sense, ensuring the APIs you build are ergonomic, well-documented, and easy to adopt for developers and agents alike. Strong plus: - Experience with modern AI APIs (including latency tuning, streaming, model orchestration, emerging technical standards). - Usage-based billing and metering systems, multi-tenant organization and identity models, and usage analytics pipelines. - Observability for API platforms: structured logging pipelines, metrics, tracing, and SLO tooling.

Location: European Union Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE We are looking for a Mobile Growth Manager to take full ownership of monetization and retention for our AI LLM chat mobile app on iOS and Android. You will be accountable for how much revenue each mobile user generates and for how long they stay. This is a senior, hands-on role with end-to-end ownership. You own the funnel from store listing to first session, trial, paid conversion, renewal and win-back. You decide what to test, what to scale and what to cut, and you are accountable for the results. We need someone who has grown ARPU and retention on subscription apps, who can run experiments quickly and independently, and who knows how to work within Apple and Google subscription rules. You will manage performance against real revenue data (ARPU, trial-to-paid conversion, ROI D7, retention and cohorts), not vanity metrics. We also work AI-first, and we expect you to use Claude and automation to move faster. KEY RESPONSIBILITIES - Own mobile growth end to end: from store page to paid conversion and renewal, across strategy, experimentation, launch, reporting and documentation. - Deliver a quarterly ARPU target on mobile (set against a measured baseline), through conversion, retention and perceived product value. - Own the paywall and pricing: offerings, packaging, trial and intro-offer structure, price tests by geo, and placement. Run them through RevenueCat or an equivalent. - Own onboarding and activation: shorten the path to the first moment of value and fix drop-offs in the first session and first week. - Build retention and win-back loops: push, in-app messaging, cancellation-save flows and involuntary-churn recovery (billing retries, grace periods). - Own store conversion: ASO, listing and screenshot tests, ratings and review prompts on the App Store and Google Play. - Keep web and app aligned: manage the web-to-app handoff and make sure subscribers get a consistent experience and entitlement across both. - Manage signal quality: subscription and in-app events, attribution and MMP data, and measurement under iOS privacy rules (ATT / SKAdNetwork). - Run a structured experiment process: own the mobile backlog, with a clear hypothesis, target metric and kill/scale rule for every test. Run the A/B tests end to end. - Review sessions daily: find friction, drop-offs and behavioural patterns, and turn them into backlog items. - Build the reporting: Mixpanel dashboards and a weekly report on mobile ARPU, trial conversion, ROI D7 on matured cohorts, 1-hour cancellation and retention. - Own policy compliance: keep paywalls, subscription disclosure, refunds and store listings within Apple and Google rules, with prevention-first checks before launch. - Prototype with AI: use Claude and automation for prototypes, analysis, QA and reporting, and ship the ones that work. - Diagnose drops and spikes quickly and act on them. - Document tests, learnings and playbooks. QUALIFICATIONS MUST-HAVE EXPERIENCE - 5+ years in mobile growth, product growth or lifecycle roles on subscription apps. - Proven, measured ARPU, conversion or retention gains on a live subscription app, on both iOS and Android. - Strong understanding of subscription economics: trials, intro offers, renewals, LTV, payback windows and cohorts. - Hands-on paywall and pricing experimentation (RevenueCat, Superwall or similar). - Hands-on with Mixpanel or an equivalent: funnels, cohorts, custom boards. - Experience with StoreKit and Google Play Billing mechanics: grace periods, billing retries, refunds, cancellation flows. - Experience with MMPs (AppsFlyer, Adjust, Singular or similar) and with ATT / SKAdNetwork-era measurement. - Experience with push and in-app messaging tools and with building retention mechanics. - Working knowledge of ASO and store listing conversion. - Strong experiment discipline: hypotheses, sample sizing, readouts and clean decisions. - Daily use of Claude or other AI tools for prototyping, analysis and writing. - Ownership mentality: you run the funnel with minimal supervision and take responsibility for outcomes. NICE TO HAVE - Experience with AI or consumer-subscription products. - Experience with web-to-app subscription funnels. - Experience coordinating paid acquisition with product conversion, as a partner to a UA lead. - Experience working under strict platform policy (subscription disclosure, ROSCA-type rules). LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Read more about it here: Independent Contractor Agreement https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! LIFE AT RUBY LABS At Ruby Labs, we are more than a team; we're a community united in pushing the boundaries of technology and innovation. Our combined passion fuels our ambition for excellence, driving impact that resonates around the globe. We are an equal-opportunity employer and celebrate diversity, recognizing that a diversity of thought and backgrounds builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate based on race, ethnicity, religion, color, place of birth, sex, gender identity or expression, sexual orientation, age, marital status, military service status, or disability status. Join us and be part of a company that is crafting the future of technology across multiple industries.

Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD Our Salesforce org is the system of record for how Docebo sells, renews and serves customers. It carries CPQ, document generation, e-signature, provisioning and billing integrations, and a growing set of AI-driven workflows. The team that runs it is small, senior, and split between Canada and Italy. We've spent this year putting real structure behind it: a formal development lifecycle, a definition of ready for every ticket, a security standard for integrations, and a hardening program that is cleaning up years of accumulated access. We're adding a senior developer to carry that forward. You'll build on the platform every week, but you'll also be one of the people the rest of the team turns to when a design needs a second opinion, a connected app needs scrutiny, or a request needs someone to say "not like that, and here's why." ⚡ THE DAY-TO-DAY - Design and build. Deliver production-quality solutions in Apex, Lightning Web Components, Flow and platform configuration, from a clear problem statement through solution design, build, test and release. You'll work the full lifecycle, not just the ticket in front of you. - Integration security and governance. Review every new or changed integration against our integration security standard: connected app scopes, OAuth and token lifecycle, dedicated Okta-provisioned integration users, least-privilege permission sets. You'll push back on anything that asks for more access than it needs and document the decision. - Code and design review. Act as a reviewer for the team's pull requests and solution designs. Hold the line on maintainability, test coverage, deployment readiness and SOX-relevant change controls, and give feedback people can act on. - Platform health. Own a share of the technical-debt and hardening backlog: retiring unused automation, consolidating permission models, cleaning up legacy packages and integration users, and reducing the org's risk surface one deliberate change at a time. - Access and provisioning backstop. Be a point person for user activation, license allocation and permission assignment, and help move that work from manual cloning toward documented roles and automation. - Delivery partnership. Work directly with Revenue Operations, Finance, Marketing and Customer Success on scoping, and with the team's administrators and QA partner on testing and release. Take part in the daily check-in and the biweekly backlog and capacity review. - AI in the day-to-day. Use AI tooling to move faster on triage, documentation and build, and apply the judgment to validate what it produces before it ships. We care about both halves. 🌟 YOUR SUPERPOWERS - Deep hands-on Salesforce development. Several years shipping Apex, Lightning Web Components, Flow and integrations (REST, platform events, middleware) in a production org with real users and real release discipline. - A security mindset. You understand connected apps, OAuth scopes, permission sets, profiles and integration users well enough to spot a risky configuration and explain the fix. You treat "valid until revoked" as a problem, not a default. - Review experience. You've reviewed other engineers' code and designs and know how to be direct and useful at the same time. - Comfort in a governed environment. SOX controls, structured deployment windows, mandatory UAT, a source-control-backed deployment pipeline (we use Gearset and GitLab). - Clear communication, written and spoken, with technical and non-technical stakeholders. You can explain a trade-off to a VP and a defect to a developer. - Independence and judgment. You scope your own work, ask for clarity early, and don't wait to be told that a request is under-specified. - Working hours that overlap the team. Our daily check-in runs at 09:30 Eastern / 15:30 Central European; you'll need to be reliably available for it from either location. 🎯 BONUS POINTS - Salesforce Platform Developer II, Application Architect or Integration Architect certification. - Experience with Salesforce CPQ or Revenue Cloud, Conga or similar document generation, DocuSign, or a billing migration (we're moving billing to NetSuite). - Experience with Slack, Okta, Fivetran or Datadog as they relate to a Salesforce org. - Exposure to Data Cloud or Agentforce. - Italian language skills, or prior experience on a team split across North American and European time zones.   OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: San Francisco; Washington D.C. Workplace: Hybrid Perplexity AI is looking for a highly organized and resourceful IP Paralegal to serve as the operational backbone of a fast-growing, full-stack intellectual property program, with a primary responsibility for patent and trademark prosecution and portfolio management, and additional support work across copyrights, trade secrets, and open source compliance. This role reports to the Director of Intellectual Property and offers significant responsibility and direct exposure to novel questions at the intersection of artificial intelligence and IP law, as well as growth potential across other areas of an in-house practice group. You will partner closely with outside counsel, engineering stakeholders, and cross-functional teams to run the workflows behind a growing patent and trademark portfolio, maintain copyright and trade secret practices, and support open source compliance review. You will own day-to-day docketing and portfolio hygiene, manage outside counsel requests and billing against budget, and run intake and matter tracking so that nothing slips. You will also run our patent rewards program end-to-end and be a go-to resource for IP diligence support and IP-adjacent needs, including commercial and litigation support as needed. This role requires a genuine curiosity about using agentic AI systems to make the IP program run faster and more consistently, rather than treating AI tooling as an afterthought. This is a hands-on role for someone who is detail-obsessed, comfortable moving across multiple IP disciplines in the same week, fluent with AI and legal-technology tooling, and energized by building repeatable systems from the ground up so that a lean team can run a large, technically complex portfolio. If you are a curious person and your instinct when something breaks is to redesign the process, you will do well here. Key Responsibilities - Manage end-to-end workflows across the patent and trademark portfolios, including docketing, deadline tracking, filing coordination, portfolio maintenance, and status reporting to internal stakeholders. - Support trade secret protection practices and open source compliance review, including tracking disclosure and license obligations and flagging issues for attorney review. - Administer copyright matters, including registration filings, recordation, and portfolio record keeping. - Own intake and triage for new invention disclosures, trademark clearance requests, and other IP matters. - Manage outside counsel relationships and billing, including matter budgets, accrual tracking, invoice review against outside counsel guidelines, rate negotiation support, and matter-management hygiene in billing systems. - Run the patent rewards program. - Prepare and file U.S. trademark applications and coordinate foreign filings through local counsel. - Run preliminary clearance searches for new products and features. - Coordinate trademark office action responses, review watch notices, and recommend enforcement actions. - Manage the domain name portfolio and the online brand protection and takedown programs. - Conduct IP portfolio analysis, including filing trend tracking, competitive landscape monitoring, and gap identification, to support portfolio strategy and prosecution priorities. - Provide support on IP-adjacent matters as needed, including commercial contract IP terms and litigation support (e.g., document gathering, chronologies, and coordination with outside counsel). - Maintain and improve internal file management systems, trackers, and dashboards, keeping matter data, deadlines, and portfolio status current and audit-ready. - Build and improve the systems behind the work, including intake workflows, filing playbooks, matter templates, and escalation paths, so that recurring problems are solved structurally rather than absorbed by heroics. - Use and help evolve agentic AI tools to support IP workflows such as docketing, disclosure intake, prior art gathering, and portfolio reporting, and bring ideas for where automation can meaningfully improve program efficiency. Qualifications Need to have: - A sense of humor and a team mindset - 10+ years of experience as an IP paralegal, with a mix of in-house and law firm experience - Demonstrated AI tool fluency and genuine curiosity about applying agentic AI systems to IP program operations - Hands-on experience supporting a mix of patent and trademark prosecution workflows, including docketing, filing coordination, and portfolio maintenance - Working knowledge of copyright administration and trade secret protection practices - Experience managing outside counsel relationships, including invoice review, budget tracking, and adherence to outside counsel guidelines - Experience managing a high volume of concurrent matters and deadlines with strong organizational skills and exacting attention to detail - Ability to multitask and effectively manage competing priorities in a fast-paced startup environment - Excellent written and verbal communication skills, including the ability to correspond directly with outside counsel, inventors, and internal stakeholders - Demonstrated discretion and sound judgment when handling confidential and privileged material - Genuine interest in IP diligence work and in stepping into IP-adjacent needs as they come up, including commercial and litigation support Nice to have: - Paralegal certificate, associate's degree in paralegal studies, or bachelor's degree - Direct experience with open source license compliance review - Experience running or supporting an inventor recognition or patent rewards/incentive program - Experience supporting IP diligence for M&A, financing, or commercial transactions - Litigation support experience (e.g., discovery, document review, case file management) - Experience with IP portfolio analytics, competitive filing intelligence, or landscape mapping - Direct experience with docketing platforms, IP management software, and legal billing or matter management systems - Experience at a high-growth technology startup - Interest in artificial intelligence laws and regulations

Location: San Francisco; Washington D.C. Workplace: Hybrid Perplexity AI is looking for a highly organized and resourceful IP Paralegal to serve as the operational backbone of a fast-growing, full-stack intellectual property program, with a primary responsibility for patent and trademark prosecution and portfolio management, and additional support work across copyrights, trade secrets, and open source compliance. This role reports to the Director of Intellectual Property and offers significant responsibility and direct exposure to novel questions at the intersection of artificial intelligence and IP law, as well as growth potential across other areas of an in-house practice group. You will partner closely with outside counsel, engineering stakeholders, and cross-functional teams to run the workflows behind a growing patent and trademark portfolio, maintain copyright and trade secret practices, and support open source compliance review. You will own day-to-day docketing and portfolio hygiene, manage outside counsel requests and billing against budget, and run intake and matter tracking so that nothing slips. You will also run our patent rewards program end-to-end and be a go-to resource for IP diligence support and IP-adjacent needs, including commercial and litigation support as needed. This role requires a genuine curiosity about using agentic AI systems to make the IP program run faster and more consistently, rather than treating AI tooling as an afterthought. This is a hands-on role for someone who is detail-obsessed, comfortable moving across multiple IP disciplines in the same week, fluent with AI and legal-technology tooling, and energized by building repeatable systems from the ground up so that a lean team can run a large, technically complex portfolio. If you are a curious person and your instinct when something breaks is to redesign the process, you will do well here. Key Responsibilities - Manage end-to-end workflows across the patent and trademark portfolios, including docketing, deadline tracking, filing coordination, portfolio maintenance, and status reporting to internal stakeholders. - Support trade secret protection practices and open source compliance review, including tracking disclosure and license obligations and flagging issues for attorney review. - Administer copyright matters, including registration filings, recordation, and portfolio record keeping. - Own intake and triage for new invention disclosures, trademark clearance requests, and other IP matters. - Manage outside counsel relationships and billing, including matter budgets, accrual tracking, invoice review against outside counsel guidelines, rate negotiation support, and matter-management hygiene in billing systems. - Run the patent rewards program. - Prepare and file U.S. trademark applications and coordinate foreign filings through local counsel. - Run preliminary clearance searches for new products and features. - Coordinate trademark office action responses, review watch notices, and recommend enforcement actions. - Manage the domain name portfolio and the online brand protection and takedown programs. - Conduct IP portfolio analysis, including filing trend tracking, competitive landscape monitoring, and gap identification, to support portfolio strategy and prosecution priorities. - Provide support on IP-adjacent matters as needed, including commercial contract IP terms and litigation support (e.g., document gathering, chronologies, and coordination with outside counsel). - Maintain and improve internal file management systems, trackers, and dashboards, keeping matter data, deadlines, and portfolio status current and audit-ready. - Build and improve the systems behind the work, including intake workflows, filing playbooks, matter templates, and escalation paths, so that recurring problems are solved structurally rather than absorbed by heroics. - Use and help evolve agentic AI tools to support IP workflows such as docketing, disclosure intake, prior art gathering, and portfolio reporting, and bring ideas for where automation can meaningfully improve program efficiency. Qualifications Need to have: - A sense of humor and a team mindset - 10+ years of experience as an IP paralegal, with a mix of in-house and law firm experience - Demonstrated AI tool fluency and genuine curiosity about applying agentic AI systems to IP program operations - Hands-on experience supporting a mix of patent and trademark prosecution workflows, including docketing, filing coordination, and portfolio maintenance - Working knowledge of copyright administration and trade secret protection practices - Experience managing outside counsel relationships, including invoice review, budget tracking, and adherence to outside counsel guidelines - Experience managing a high volume of concurrent matters and deadlines with strong organizational skills and exacting attention to detail - Ability to multitask and effectively manage competing priorities in a fast-paced startup environment - Excellent written and verbal communication skills, including the ability to correspond directly with outside counsel, inventors, and internal stakeholders - Demonstrated discretion and sound judgment when handling confidential and privileged material - Genuine interest in IP diligence work and in stepping into IP-adjacent needs as they come up, including commercial and litigation support Nice to have: - Paralegal certificate, associate's degree in paralegal studies, or bachelor's degree - Direct experience with open source license compliance review - Experience running or supporting an inventor recognition or patent rewards/incentive program - Experience supporting IP diligence for M&A, financing, or commercial transactions - Litigation support experience (e.g., discovery, document review, case file management) - Experience with IP portfolio analytics, competitive filing intelligence, or landscape mapping - Direct experience with docketing platforms, IP management software, and legal billing or matter management systems - Experience at a high-growth technology startup - Interest in artificial intelligence laws and regulations

Location: Chicago The Legal team at Asana works collaboratively across functions to achieve our ambitious mission of fostering effortless teamwork for everyone . We are a tightly-knit and cooperative group committed to supporting teams throughout the organization, ensuring they have the necessary resources for success while protecting Asana's core values and interests . As a Legal Operations Analyst, you will co-create and drive projects, processes, and enablement to elevate the effectiveness of the Legal & Stock Team while partnering cross-functionally to optimize legal technology and workflows. This role is based in our Chicago office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays d epends on the type of work you do and the teams with which you partner . If you're interviewi ng for this role, your recruiter will share more about the in-office requirements . What you’ll achieve Administer contracts within the management system (Ironclad) and oversee signature routing in compliance with our global signature policy, ensuring metadata integrity and repository upkeep. Design, build, and deploy automated workflows and self-service tools to streamline operations, eliminate administrative bottlenecks, and accelerate turnaround times. Administer the e-billing platform (Brightflag), managing matters, rate reviews, outside counsel onboarding, and invoice processing in partnership with Finance on purchase orders and accruals. Develop and deliver actionable analytics, reports, and dashboards on department KPIs, cycle times, and resource utilization to inform strategic improvements. Partner with cross-functional stakeholders (e.g., Finance, Sales, Enterprise Technology) and serve as a reliable lead for legal operations requests, bug fixes, and general troubleshooting. Design and facilitate legal enablement programs and documentation—including training sessions, playbooks, and FAQs—to drive adoption of legal tools and policies. Evaluate and pilot AI tools and emerging technology solutions to drive productivity, automate routine tasks, and support data-informed decision-making. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making . Proven experience in legal operations, legal engineering, or legal technology administration, preferably within a high-growth technology environment. Deep familiarity with legal operations tools (such as Ironclad, Brightflag, Salesforce, and DocuSign), along with hands-on practice mapping business processes or building workflows in no-code/low-code tools. Strong proficiency with modern work management tools (e.g., Asana) to structure complex deliverables, organize project timelines, and automate cross-functional handoffs. Strong analytical and problem-solving skills, with comfort gathering, synthesizing, and communicating quantitative data into practical business insights. Clear, empathetic, and adaptable communication skills, with an abil ity to translate complex processes for varied stakeholders and thrive across shifting priorities. At Asana, we're committed to building teams that include a variety o f backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission . If you're interested in this role and don't meet ever y listed requirement, we still encourage you to apply . What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our miss ion . We believe that compensation should be reflective of the value you create relative to the market value of your role . To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is wh y we check ourselves and conduct a yearly pay equity audit . For this role, the estimated base salary range is between $125,000 - $142,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process . The listed range above is a guideline, and the base salary range for this role may be modified . In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits . If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role . We strive to provide equita ble and competitive benefits packages that support our employees worldwide and include : Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations . If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role . #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Remote 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 in the US. We're building a creative platform used by artists, filmmakers, and teams at some of the world's most recognized brands. Our support org handles everything from a five-minute billing question to a technical escalation, and we're building out a dedicated tier for the first kind so our more experienced specialists can focus on the second. We're looking for a Support Representative who's accurate, fast, and comfortable following a process closely under volume. No creative or AI background required. We'll train you on the product. WHAT YOU’LL DO - Resolve high-volume, tickets across account access, billing, and plan questions for Free, Standard, and Pro and Max users - Use existing macros, playbooks, and AI support layer suggestions to close tickets accurately and quickly - Recognize when a ticket needs product judgment or creative-tool troubleshooting, and route it to Tier 2 Support or Enterprise - Flag recurring questions that don't have a macro yet WHAT YOU’LL NEED - Clear, accurate written communication, especially on process-driven, checklist-style work - Comfortable with repetitive, high-volume work without losing accuracy - Prior experience with tools like Zendesk, Notion, or Slack is a plus, not a requirement - 0-2 years in any customer-facing or process-driven role (preferably in SaaS, but not required) - Enough curiosity to spend a little time in the product or help docs before talking to us. No creative background needed, just evidence you looked WHAT SETS GREAT CANDIDATES APART The best people in this role follow the playbook precisely and know exactly when a ticket doesn't fit it. They don't force a wrong answer to hit volume, and they don't escalate everything out of caution either. They've put in enough time with Runway to have a real sense of what it does and who uses it, so a ticket that's slightly off-script doesn't stump them, even without a creative background. When they see the same question surface three times, they ask whether it should become a macro instead of just answering it a third time. 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: United States Senior Engineering Manager, Data & AI Lead the engineering team behind Foundry, Insights, Intel, and Voice: the agents, analytics, and data intelligence of the modern freight platform. About the Role Remote, United States. Some travel is required for team onsites, customer visits, and industry events. Relocation assistance is not provided. The Senior Engineering Manager, Data & AI leads the engineering group behind Foundry, Insights, Intel, and Voice. You'll own the group's technical strategy, delivery, and quality, hire and develop its engineers, and stay hands-on by prototyping, writing evals, reading traces, and reviewing architecture in depth. The team is about eight engineers today and growing. It also owns the shared foundation those products run on: a context graph that connects loads, trips, carriers, drivers, customers, documents, and conversations; event-sourced platform data streaming into the warehouse; and the evals, tracing, guardrails, and model routing every agent depends on. Alvys facilitates more than $1 billion in funds every month across invoices, carrier payments, and driver settlements. Behind that volume is one of the richest operational datasets in freight. This team turns it into agents that do real work and intelligence customers can't get anywhere else. Engineering leaders at Alvys are builders. Expect to spend about a third of your time building. You'll set the standard for how an AI-first team works: coding agents in the daily workflow, evals before scale, and production evidence over demos. The platform runs on .NET (C#, and increasingly F#), TypeScript, and Python on Azure and AKS, with Cosmos DB, Postgres, Elasticsearch, Snowflake, dbt, and Fivetran underneath. We're looking for someone who treats AI as a first-class material, both in what we build for customers and in how the engineering team works. Industry Insight Freight runs on phone calls, emails, PDFs, and tribal knowledge. The U.S. trucking industry is worth approximately $1 trillion today and is projected to grow by roughly 60% to nearly $1.5 trillion over the next decade. Yet the work that moves that freight is still largely manual. Nearly 580,000 active U.S. motor carriers operate in a highly fragmented market; 91.5% run 10 or fewer trucks, and 99.3% run 100 or fewer. Few of these businesses will ever build a data team of their own. Every check call answered, rate confirmation read, and exception caught by software is time back for a small team running on thin margins. Freight data is also structurally messy. A single load spans brokers, carriers, drivers, shippers, and documents, each with its own identifiers, and the truth lives across EDI messages, phone calls, and free text. Generic AI tooling doesn't model any of this. That's why we're building a context graph grounded in how freight actually moves. Agents can now answer the phone, read documents, query operational data, and take actions inside a TMS. In freight, those actions move trucks and money. They must be correct, auditable, and safe. About Alvys Alvys is building the operating system for modern freight. Our AI-powered, cloud-native platform brings dispatch, driver mobile, safety and compliance, billing and settlements, native EDI, reporting, integrations, and automation into one product. We were founded in 2020 by freight industry insiders who were tired of software built by people who had never moved a load. That combination of deep customer empathy and ambitious technology still defines us. We visit customers, learn how the work actually happens, prototype quickly, debate ideas openly, and turn the best ones into products people rely on. More than 3,000 trucking and brokerage companies use Alvys today, including larger fleets with increasingly sophisticated operations. We've raised $77M to date, including a $40M Series B. That gives us real momentum and room to make bold bets, while remaining early enough that a great engineering leader can materially shape the product, team, and company. We are building more than a modern interface for a traditional TMS. Foundry, our agent platform within Alvys, helps freight teams make decisions and complete work, and this team builds it. You'll work with curious, direct, low-ego people who solve hard problems, move quickly from prototype to production, and measure customer impact. Our Principles AI makes building cheap. It does not make judgment cheap. The constraint has moved from writing code to deciding what to build and proving it is right. Agents belong in the middle of the pipeline. People remain accountable at both ends. These principles turn that into how we work every day. Own the outcome You own what you ship. "AI wrote it" is not an answer. Judgment stays human. People decide what matters and whether the result is correct. Verify independently Generation and verification are separate. Tests, review, and approval run independently of the agent that did the work. Autonomy is earned per workflow. Agents advance only on measured precision against human-verified outcomes. No number, no promotion. Design for control AI-first means security-first. Customer data stays on approved infrastructure under managed identity. Cost is an engineering constraint. Every shared workflow has termination conditions and bounded fan-out. Build durable systems Knowledge is tool-agnostic. Reviewed intent lives once; vendor-specific machinery is generated from it. Multiple vendors are a design assumption. Durable workflows don't couple to one model or harness. Twice is a pattern. Automate repeated work and share it within 48 hours. The Data & AI Portfolio The Data & AI portfolio covers Foundry, our embedded automation and agent platform, including a unified agent chat that answers questions and takes actions; Insights, conversational analytics grounded in each customer's own operating data; Intel, proprietary data intelligence drawn from third-party, licensed, and proprietary data sources; and Voice, AI voice and chat agents for load status, driver check calls, and the follow-ups in between. It also includes the shared foundation: the context graph, the data platform that feeds it, and the evals, tracing, guardrails, and model routing behind every agent. Why This Role Few engineering leadership roles combine frontier AI work, a proprietary dataset, and an industry this underserved. This one does. You build at the frontier, in production. Context graphs, self-learning agents, voice agents, and agentic automation are still being figured out across the industry. Here you ship them to real customers, on live freight operations, not benchmarks. You work with data no one else has. More than 3,000 trucking and brokerage companies run on Alvys, and more than $1 billion in funds moves through the platform every month. Combined with third-party and licensed sources, that data is the raw material for intelligence no single fleet or brokerage could build alone. Your work changes how an industry operates. With 91.5% of carriers running 10 or fewer trucks, most of our customers will never hire a data team. The agents you build give a small business the leverage of a much larger one. You own a portfolio, not a feature. Four products share one platform. You set its architecture, choose its models and vendors, and decide where the team invests as it grows. You shape the team from the start. The group is about eight engineers today. You'll hire the next wave and set the standard for how an AI-first engineering team works at Alvys. You stay close to the decisions. You report to the Head of Engineering, work directly with customers and our Forward Deployed Engineering team, and have a direct line into company planning, backed by a $40M Series B. What You'll Be Responsible For Leading and Growing the Team Manage, coach, and develop a team of about eight engineers, including senior engineers and tech leads, and grow it as the portfolio expands. Hire senior and staff engineers, and keep the quality bar high as the team scales. Run the team AI-first, with coding agents in the daily workflow and clear standards for how AI-written code is reviewed, tested, and shipped. Owning Technical Strategy Set technical direction for agents, data, and the context graph, and make the build, buy, and model calls with cost, quality, and speed in view. Make tradeoffs across four products that share one platform, including what gets built, what gets cut, and where the team invests. Building Agents That Learn Own the agent development lifecycle from prototype to production to continuous improvement. Build self-learning loops so agents improve from outcomes, user corrections, and transcripts, and make that improvement measurable. Make evals a release gate. No agent ships without tests for quality, safety, latency, and cost. Data and the Context Graph Own the context graph that links loads, trips, carriers, drivers, customers, documents, and conversations, and the entity resolution that keeps it trustworthy. Partner on the data platform that feeds it, including event streams, CDC into Snowflake, data quality, and lineage, so agents and analytics share one source of truth. Capture decision traces (the inputs gathered, the rule applied, any exception, who approved it, and why) so precedent becomes searchable for agents and people, while rules stay explicit. Combine third-party, licensed, and proprietary data sources into intelligence customers can act on, with the provenance, licensing terms, and tenant boundaries of each source respected. Safety, Isolation, and Reliability Design agents that change data with scoped permissions, human approvals, and audit trails, and defend against prompt injection and tool misuse. Enforce tenant isolation and least privilege across every agent, tool, and data path. Own reliability and unit economics. Track cost per task, per call, and per tenant, and keep margins healthy as usage grows. Staying Hands-On Spend about a third of your time building: prototype, write evals, read traces, and debug production. Review your team's designs and code with real depth, and stay current on models and tools, separating what works in production from what demos well. Cross-Functional Partnership Work as a peer to product and design leadership on direction, architecture, sequencing, and delivery. Work directly with customers and our Forward Deployed Engineering team, and turn repeated patterns into platform features. The AI Fluency We Expect We measure AI fluency by how you verify, not by how much you use AI. More autonomy is not always better. You match the level of autonomy to the risk of the work, and you hold yourself and the team to the same five competencies. Delegation: You decide whether to use AI at all, which task to hand off, and how much autonomy it gets. Description: You state goals, requirements, and limits clearly, from a single prompt up to project instructions, specs, and policy. Discernment: You check output against evidence: diffs, acceptance checks, evals, and production monitoring. Diligence: You own the effects, including data access, permissions, memory isolation, budgets, and kill switches. Systems: You know how models, context, tools, harnesses, and memory work, and where each one fails. How You Work With Agents Design multi-agent systems on paper before you build them. For each step, choose a rule, a small model, a frontier model, or a person, and measure cost per outcome, not cost per token. Start from code-orchestrated workflows and add model-led autonomy only where the task needs exploration. Keep agent-to-agent handoffs few, and give each agent a contract: inputs, allowed tools, and output schema. Put limits in code, not in prompts: hooks, sandboxed worktrees, and a stop condition, retry cap, and budget on every loop. Separate the agent that writes from the agent that checks, and give the checker fresh context. Work in an explore, plan, execute, verify, and compound rhythm, where every correction becomes a rule, skill, hook, or test. Move fluently across Claude Code, Codex, and Cursor, and choose an editor-first or agent-first surface based on who should hold the controls for the next step. Where You Take the Team Bring every engineer to running goal-based loops, where specs and checks are written first, never weakened to pass, and run by the agent itself. Move the team from steering every turn to designing the system that steers the agent: its context, its harness, and its loop. Build toward agents that run continuously in hosted sandboxes, each with its own least-privilege identity, a named owner, a budget, and a tested kill switch, with risk-scaled human review on financial actions, auth, settlements, and customer data. Close the improvement loop. Capture traces, run error analysis on real failures every week, encode the fixes, and gate every change to rules, memory, or evals behind evals and a human approver. Self-improving never means self-approving. Minimum Qualifications 8+ years building software, including 3+ years managing engineers. You've grown senior engineers and tech leads and remain a hands-on builder who can prototype, debug production, and review code credibly. Production LLM systems. You've shipped LLM-powered products to real users, not demos, and can explain what broke, what you measured, and what you changed. Agentic engineering in your own work. You build with coding agents every day and can show the multi-agent workflows, contracts, hooks, and loops you put into production, and the checks that kept them honest. Depth in agent systems. You've built with tool use, function calling, MCP, orchestration, memory, and retrieval, and you understand where agents fail. Evaluation discipline. You've built eval systems that combine offline suites, online metrics, human review, and transcript analysis, and used them to gate releases. Strong data engineering judgment. You've worked with event streams, CDC, cloud warehouses, dbt, and data quality, and you know how the shape of the data limits what models can do. Distributed systems in production. You've designed and operated production services with real reliability requirements. Multi-tenant security. You've secured multi-tenant SaaS and isolated customer data, and you treat agent permissions as a security boundary. Language fluency. You write Python or TypeScript fluently and are comfortable reading C#, F#, and .NET. Experience with F# or another functional language is a plus. Startup-stage fit. You've operated at Series B/C velocity amid ambiguity, thin support, competing priorities, and a bias toward shipping and learning. Clear technical communication. You can explain a tradeoff to an engineer, a customer, and an executive. Preferred Qualifications Knowledge graphs, context graphs, entity resolution, or GraphRAG in production. Real-time voice agents, including telephony, speech-to-text, text-to-speech, turn-taking, and latency budgets. Fine-tuning, reinforcement learning from feedback, or prompt optimization against eval sets. Embedded automation or workflow platforms such as Activepieces, n8n, or Temporal. SRE experience, or a record of running systems other teams depend on. Logistics or freight experience, or another vertical where data is deeply entangled with operations. Founder or early-stage engineering leadership experience. A history of hiring, growing, and retaining excellent engineers. Built by people who've moved freight. Come build the intelligence layer with us. Learn more at alvys.com

Location: United States, San Diego, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Manager, Data Science, Payments & Subscriptions San Diego, CA remote considered* (flex mode) About the Team The Direct to Consumer (D2C) Data Science organization brings together Data Science, Data Engineering, and ML Engineering to support PlayStation’s digital business across commerce, subscriptions, payments, lifecycle experiences, and player-facing services. We partner closely with product, engineering, finance, marketing, and operations teams to turn experimentation, forecasting, modeling, and trustworthy measurement into better decisions and better player experiences. About the Role We are looking for a Data Science Manager to lead a focused team improving how players pay, subscribe, and recover from payment failures. You will own the team’s scientific roadmap, develop data scientists, and partner with product, engineering, finance, marketing, and operations to turn ambiguous business questions into clear recommendations supported by trustworthy evidence. This is a technically engaged first-line management role. You will review experiment designs, metrics, models, analytical code, and recommendations; help the team reason through uncertainty and business tradeoffs; and contribute directly to selected complex problems. Success means building a team that can independently deliver rigorous work, guide decisions, and improve payment and subscription outcomes. The initial portfolio includes payment method performance, payment acceptance, routing and retry strategies, subscription recovery, and measurement of experiments and lifecycle interventions. You will help partners understand incremental value, customer friction, processing and operational costs, and risk guardrails. Over time, the scope may expand across adjacent D2C business areas as team priorities evolve. What you'll be doing: Lead, hire, onboard, and develop a team of data scientists supporting a defined commerce, payments, subscriptions, and lifecycle portfolio. Own the team’s roadmap, intake, prioritization, capacity planning, and stakeholder alignment. Make ownership and tradeoffs clear so the team can deliver on its most important commitments. Partner with business and technical leaders to define the decisions to be made, hypotheses, success metrics, measurement plans, and recommendations for action. Guide experimentation, causal inference, forecasting, and modeling work that improves payment and subscription decisions. Evaluate business value alongside customer experience, costs, and risk guardrails. Review experiment designs, analytical code, data quality, metric definitions, model assumptions, uncertainty, and recommendations. Contribute directly to selected high-priority or technically complex problems. Coach data scientists to strengthen scientific judgment, stakeholder influence, and communication. Build independent ownership through delegation, constructive review, and clear expectations. Set practical standards for reproducible analysis, documentation, reusable workflows, and communication of results. Partner with Data Engineering and ML Engineering to address data and implementation dependencies. Communicate recommendations, expected impact, confidence, limitations, and next actions so partners can make informed decisions and evaluate outcomes. What we're looking for: 6+ years of industry experience in data science, applied statistics, machine learning, or a related quantitative field, including work in experimentation, causal inference, measurement, or model development. 2+ years of people management experience, or equivalent experience in formal technical leadership with a strong track record of mentoring, coaching, and driving outcomes through other data scientists or machine learning practitioners. Strong background in experimentation, causal inference, metric design, and decision science for digital products or consumer businesses. Deep fluency with SQL and Python, with the technical depth to review analytical code, challenge assumptions, guide experiment and model design, and contribute directly to complex analyses. Proven ability to prioritize cross-functional work and communicate clear recommendations, confidence levels, tradeoffs, and next actions. Bachelor's degree or equivalent Preferred Qualifications Experience in digital commerce, payments, subscriptions, billing, lifecycle, gaming, media, or scaled consumer technology businesses. Experience with experimentation platforms, trusted metric frameworks, or reusable data science tooling that improves consistency and decision quality. Experience managing senior individual contributors or helping data scientists expand scope, influence, and technical leadership. Familiarity with payment optimization, subscription lifecycle analytics, subscription recovery, payment method selection, pricing or offer measurement, forecasting, or customer retention modeling. Experience evaluating and improving AI-assisted analytical workflows, including validating outputs and preserving reproducibility and appropriate data handling. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $186,200 — $279,200 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Argentina About Improvado Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the role Improvado is a marketing data platform for enterprise brands and agencies. You will own how our revenue runs and how it is measured. That covers Salesforce and the GTM tools, the path from signed contract to paid invoice, the revenue data model, and the reports leadership decides from. You work closely with the analytics team: you don’t have to build the data models yourself, but you must read them, spot what is wrong and say what to change. You work through AI agents daily, doing the work of a bigger team. What you will do Salesforce and GTM stack Own Salesforce configuration, release process and user access, plus the integrations around it (Gong, Clay, Lemlist, enrichment, e-signature, lead routing). Keep CRM data clean with guardrails that block mistakes. Manage licences and vendor renewals. Maintain the Salesforce manual and RevOps SOPs, and train new hires. Contract to cash Own ARR and bookings logic (new, upsell, downsell, churn, renewals) and keep agreement, opportunity, and invoice consistent. Run the closed-deals and billing check with Finance. Fix errors at the source and add a control so they don’t repeat. Audit invoices, track and chase unpaid ones, and prepare quarterly commission and quota reports. Revenue analytics and data model Own the quarterly sales analytics pack, the CRO report, the forecast and pipeline coverage (including CS renewal inputs). Track funnel conversion, explain why deals move, stall or slip, and keep attribution correct with Marketing. Query ClickHouse daily, trace any number to its source, and write specs for model changes. Give each metric one documented definition and add data quality checks. Build leadership dashboards, retire unused ones, and end every analysis with a recommendation, a number and an owner. AI and automation Use coding agents (Claude Code, Codex) for queries, scripts and Salesforce automation, and always verify their output. Automate manual work (invoice and payment checks, CRM hygiene, deal-risk alerts, call analysis) and measure hours saved and errors avoided. Ownership Be the single RevOps contact for Sales, CS, Marketing, Finance and Product. Turn each request into a task with an owner, date and success metric. Requirements 4-6+ years in RevOps, Sales Ops or GTM systems in B2B SaaS, with hands-on admin of a live Salesforce org. Strong SQL and comfort in a modeled warehouse (layers, lineage, one definition per metric). dbt is a plus. Deep knowledge of the B2B SaaS revenue cycle: funnel, pipeline, forecast, ARR, churn, renewals. Experience running the money side: contracts, invoicing, collections, kept in sync with the CRM. Proof you build with AI agents: something you shipped that others use. Fluent English and clear written updates without being asked. Nice to have Salesforce Administrator or Advanced Administrator certification. ClickHouse or another columnar warehouse, and any BI tool. Salesforce development (Apex, triggers, API). Gong, Clay, Lemlist, or workflow automation tools. Billing, CPQ, or accounting systems. HubSpot to Salesforce migration. Attribution or CS health score data. Martech or analytics company background. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: Serbia About Improvado Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the role Improvado is a marketing data platform for enterprise brands and agencies. You will own how our revenue runs and how it is measured. That covers Salesforce and the GTM tools, the path from signed contract to paid invoice, the revenue data model, and the reports leadership decides from. You work closely with the analytics team: you don’t have to build the data models yourself, but you must read them, spot what is wrong and say what to change. You work through AI agents daily, doing the work of a bigger team. What you will do Salesforce and GTM stack Own Salesforce configuration, release process and user access, plus the integrations around it (Gong, Clay, Lemlist, enrichment, e-signature, lead routing). Keep CRM data clean with guardrails that block mistakes. Manage licences and vendor renewals. Maintain the Salesforce manual and RevOps SOPs, and train new hires. Contract to cash Own ARR and bookings logic (new, upsell, downsell, churn, renewals) and keep agreement, opportunity, and invoice consistent. Run the closed-deals and billing check with Finance. Fix errors at the source and add a control so they don’t repeat. Audit invoices, track and chase unpaid ones, and prepare quarterly commission and quota reports. Revenue analytics and data model Own the quarterly sales analytics pack, the CRO report, the forecast and pipeline coverage (including CS renewal inputs). Track funnel conversion, explain why deals move, stall or slip, and keep attribution correct with Marketing. Query ClickHouse daily, trace any number to its source, and write specs for model changes. Give each metric one documented definition and add data quality checks. Build leadership dashboards, retire unused ones, and end every analysis with a recommendation, a number and an owner. AI and automation Use coding agents (Claude Code, Codex) for queries, scripts and Salesforce automation, and always verify their output. Automate manual work (invoice and payment checks, CRM hygiene, deal-risk alerts, call analysis) and measure hours saved and errors avoided. Ownership Be the single RevOps contact for Sales, CS, Marketing, Finance and Product. Turn each request into a task with an owner, date and success metric. Requirements 4-6+ years in RevOps, Sales Ops or GTM systems in B2B SaaS, with hands-on admin of a live Salesforce org. Strong SQL and comfort in a modeled warehouse (layers, lineage, one definition per metric). dbt is a plus. Deep knowledge of the B2B SaaS revenue cycle: funnel, pipeline, forecast, ARR, churn, renewals. Experience running the money side: contracts, invoicing, collections, kept in sync with the CRM. Proof you build with AI agents: something you shipped that others use. Fluent English and clear written updates without being asked. Nice to have Salesforce Administrator or Advanced Administrator certification. ClickHouse or another columnar warehouse, and any BI tool. Salesforce development (Apex, triggers, API). Gong, Clay, Lemlist, or workflow automation tools. Billing, CPQ, or accounting systems. HubSpot to Salesforce migration. Attribution or CS health score data. Martech or analytics company background. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: Brazil About Improvado Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the role Improvado is a marketing data platform for enterprise brands and agencies. You will own how our revenue runs and how it is measured. That covers Salesforce and the GTM tools, the path from signed contract to paid invoice, the revenue data model, and the reports leadership decides from. You work closely with the analytics team: you don’t have to build the data models yourself, but you must read them, spot what is wrong and say what to change. You work through AI agents daily, doing the work of a bigger team. What you will do Salesforce and GTM stack Own Salesforce configuration, release process and user access, plus the integrations around it (Gong, Clay, Lemlist, enrichment, e-signature, lead routing). Keep CRM data clean with guardrails that block mistakes. Manage licences and vendor renewals. Maintain the Salesforce manual and RevOps SOPs, and train new hires. Contract to cash Own ARR and bookings logic (new, upsell, downsell, churn, renewals) and keep agreement, opportunity, and invoice consistent. Run the closed-deals and billing check with Finance. Fix errors at the source and add a control so they don’t repeat. Audit invoices, track and chase unpaid ones, and prepare quarterly commission and quota reports. Revenue analytics and data model Own the quarterly sales analytics pack, the CRO report, the forecast and pipeline coverage (including CS renewal inputs). Track funnel conversion, explain why deals move, stall or slip, and keep attribution correct with Marketing. Query ClickHouse daily, trace any number to its source, and write specs for model changes. Give each metric one documented definition and add data quality checks. Build leadership dashboards, retire unused ones, and end every analysis with a recommendation, a number and an owner. AI and automation Use coding agents (Claude Code, Codex) for queries, scripts and Salesforce automation, and always verify their output. Automate manual work (invoice and payment checks, CRM hygiene, deal-risk alerts, call analysis) and measure hours saved and errors avoided. Ownership Be the single RevOps contact for Sales, CS, Marketing, Finance and Product. Turn each request into a task with an owner, date and success metric. Requirements 4-6+ years in RevOps, Sales Ops or GTM systems in B2B SaaS, with hands-on admin of a live Salesforce org. Strong SQL and comfort in a modeled warehouse (layers, lineage, one definition per metric). dbt is a plus. Deep knowledge of the B2B SaaS revenue cycle: funnel, pipeline, forecast, ARR, churn, renewals. Experience running the money side: contracts, invoicing, collections, kept in sync with the CRM. Proof you build with AI agents: something you shipped that others use. Fluent English and clear written updates without being asked. Nice to have Salesforce Administrator or Advanced Administrator certification. ClickHouse or another columnar warehouse, and any BI tool. Salesforce development (Apex, triggers, API). Gong, Clay, Lemlist, or workflow automation tools. Billing, CPQ, or accounting systems. HubSpot to Salesforce migration. Attribution or CS health score data. Martech or analytics company background. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: Mexico About Improvado Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the role Improvado is a marketing data platform for enterprise brands and agencies. You will own how our revenue runs and how it is measured. That covers Salesforce and the GTM tools, the path from signed contract to paid invoice, the revenue data model, and the reports leadership decides from. You work closely with the analytics team: you don’t have to build the data models yourself, but you must read them, spot what is wrong and say what to change. You work through AI agents daily, doing the work of a bigger team. What you will do Salesforce and GTM stack Own Salesforce configuration, release process and user access, plus the integrations around it (Gong, Clay, Lemlist, enrichment, e-signature, lead routing). Keep CRM data clean with guardrails that block mistakes. Manage licences and vendor renewals. Maintain the Salesforce manual and RevOps SOPs, and train new hires. Contract to cash Own ARR and bookings logic (new, upsell, downsell, churn, renewals) and keep agreement, opportunity, and invoice consistent. Run the closed-deals and billing check with Finance. Fix errors at the source and add a control so they don’t repeat. Audit invoices, track and chase unpaid ones, and prepare quarterly commission and quota reports. Revenue analytics and data model Own the quarterly sales analytics pack, the CRO report, the forecast and pipeline coverage (including CS renewal inputs). Track funnel conversion, explain why deals move, stall or slip, and keep attribution correct with Marketing. Query ClickHouse daily, trace any number to its source, and write specs for model changes. Give each metric one documented definition and add data quality checks. Build leadership dashboards, retire unused ones, and end every analysis with a recommendation, a number and an owner. AI and automation Use coding agents (Claude Code, Codex) for queries, scripts and Salesforce automation, and always verify their output. Automate manual work (invoice and payment checks, CRM hygiene, deal-risk alerts, call analysis) and measure hours saved and errors avoided. Ownership Be the single RevOps contact for Sales, CS, Marketing, Finance and Product. Turn each request into a task with an owner, date and success metric. Requirements 4-6+ years in RevOps, Sales Ops or GTM systems in B2B SaaS, with hands-on admin of a live Salesforce org. Strong SQL and comfort in a modeled warehouse (layers, lineage, one definition per metric). dbt is a plus. Deep knowledge of the B2B SaaS revenue cycle: funnel, pipeline, forecast, ARR, churn, renewals. Experience running the money side: contracts, invoicing, collections, kept in sync with the CRM. Proof you build with AI agents: something you shipped that others use. Fluent English and clear written updates without being asked. Nice to have Salesforce Administrator or Advanced Administrator certification. ClickHouse or another columnar warehouse, and any BI tool. Salesforce development (Apex, triggers, API). Gong, Clay, Lemlist, or workflow automation tools. Billing, CPQ, or accounting systems. HubSpot to Salesforce migration. Attribution or CS health score data. Martech or analytics company background. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement