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Location: United States (Remote) Workplace: Remote ROLE SUMMARY Temporal powers durable execution for the world’s most demanding AI and enterprise systems. The Compute team at Temporal makes that durability feel effortless by building the managed compute primitives that run workers and other execution systems across Temporal Cloud. We’re solving a hard platform problem: make compute transparent, elastic, safe-by-default, observable, and multi-cloud — without turning customers into infrastructure operators. We build platform primitives that span a variety of execution environments (e.g., serverless-style runtimes, containerized fleets, and customer-controlled deployments). Our work sits at the intersection of control plane + data plane: scaling decisions, isolation boundaries, multi-tenant safety, and production-grade observability. If you’ve built autoscaling systems, multi-tenant platforms, or cloud infrastructure, you’ll find a lot to love here. See the "Compute team" link to read more --> Compute team https://temporalio.notion.site/Join-Temporal-s-Compute-Team-598b6bca8bf84d3babf3e8e2a22c283c WHAT YOU'LL DO Invent - Create new managed compute primitives that feel first-class in Temporal Cloud: crisp abstractions, clean APIs, and an extension story across compute providers. - Design self-optimizing autoscaling systems (signals, backstops, debouncing, guardrails) that scale worker fleets safely and predictably. - Define the Open Source Server ↔ Cloud boundary for compute capabilities, keeping the architecture cohesive and maintainable. Own - Architect, build, and operate services on the hot path of task execution where performance and correctness are customer-visible. - Deliver real-world cloud integrations (e.g., customer-account execution): IAM boundaries, secure credentials handling, networking constraints, quotas, and failure modes. - Make operability a feature: SLOs, tracing/metrics, load and failure testing, incident reviews, and continuous hardening. - Ship end-to-end: API design, rollout strategy, backwards compatibility, and long-term maintenance. Teach - Raise the bar through design docs, strong reviews, pragmatic technical leadership, and mentorship. - Lead through influence across teams (Server, SDKs, Security, Control Plane) to land coherent platform changes. WHAT YOU'LL BRING - Significant experience building distributed systems or multi-tenant platform services (design, implementation, and production operations). - Strong systems fundamentals: concurrency, performance, reliability, and failure-mode thinking. - A record of shipping platform primitives used by other engineers/customers (APIs, control planes, data planes). - Comfort owning outcomes: SLOs, incident response, and improving on-call quality over time. - Excellent written communication and crisp trade-off thinking. (Go experience is a plus; judgment matters most.) SUPER TO HAVE - Experience building cloud compute platforms spanning physical servers, CPU/GPU resources, virtual machines, container orchestration, and networking. - Experience extending Kubernetes through custom controllers and CRDs, and operating heterogeneous Kubernetes worker fleets. - Experience with IAM/security boundaries for cross-account execution models. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Staff, Technical Account Manager. About the job This position is needed to be the designated technical support engineering contact for our strategic customers.  As a designated TAM you will be supporting customers during Eastern hours (9am to 6pm ET) and working on the cases created by customers and resolving complex technical problems with potentially very costly and far-reaching consequences. You should have an interest in digging deep as well as be able to zoom out and look at the larger picture. The TAM delivers proactive guidance to the customer to provide added value through the use of Twilio technologies and deliver recommendations to make the customer’s environment less susceptible to business impacting downtime. You are able to remain calm and effective at higher workloads as well as excelling at prioritization and evaluation of situational urgency. There will also be the potential need to volunteer for holiday coverage on a stipend basis. Responsibilities In this role, you’ll: Use your strong technical and diplomatic skills to address customer issues and provide customer feedback to Twilio’s Product and Engineering teams. Work with our customers' and partners' developers, architects, and support personnel to resolve complex problems with potentially very costly and far-reaching consequences. Collaborate with your teammates and the Twilio Product and Engineering teams via Slack as well as filing JIRAs to report reproducible bugs. Understanding customer trends, analyzing patterns, driving betterments and reporting what you observe to the management team in order to better improve our support process is a key part of the role. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 6 to 10+ years of relevant experience Good knowledge of RESTful technology, previous work with APIs and ability to understand and troubleshoot issues with cloud solutions. Broad capabilities to troubleshoot server-side code (Java, Node.js, PHP, C#, Python) and client-side JavaScript, with a good understanding of React and Redux Skilled in troubleshooting network connectivity issues, with an understanding of TCP/UDP, and basics of SSL/TLS. High competency in communicating complex technical issues to both technical and non-technical audiences via phone or email mediums Comfortable in working with customers’ developers to troubleshoot use of the Twilio helper libraries. Have an inquisitive mind to understand how things work Advanced time management skills, ability to work well under pressure, and proficiency at developing workflows to increase troubleshooting efficiency while still following standard processes and procedures. Excellence in task prioritization and evaluation of situational urgency. Interest in utilizing customer feedback to identify and drive improvements in our products. Enthusiasm for interacting and collaborating with other departments within Twilio in your search for the solutions our customers need. Ability to stand in the customer’s shoes and demonstrated dedication to the customer experience. Experience in managing dedicated customer accounts. Desired: Understanding of Telecoms and VOIP including WebRTC and SIP. Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : 116,960.00 - 146,200.00. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): 123,760.00 - 154,700.00. Based in the San Francisco Bay area, California: 137,520.00 - 171,900.00. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location Application deadline information Applications for this role are intended to be accepted until Nov 20th , but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: San Francisco, California; Seattle, Washington; United States (Remote); New York, New York Workplace: Hybrid ROLE SUMMARY We’re hiring a Staff Product Manager, Nexus to own the next phase of Temporal Nexus: landing the current product foundation, expanding adoption across strategic accounts, and defining the roadmap for Nexus as Temporal’s durable connectivity layer. This person will take over an active, technically deep product area with real customer usage and a fast-moving roadmap. The immediate work is to land the in-flight Nexus developer experience and operator-control work with quality. The longer-term mandate is to shape the next wave: Connector Ecosystem, Service Hub, and Agentic Communication Fabric. This is not a “write specs and wait” role. The PM will need to build trust quickly with engineering, customers, field teams, and GTM; understand the product hands-on; turn messy customer evidence into sequencing decisions; and create the narrative that helps Temporal, customers, and partners understand where Nexus is going. WHAT YOU’LL OWN - Nexus product strategy and roadmap. Prioritize the work that makes Nexus the durable connectivity layer across teams, namespaces, services, and AI systems. - Current execution. Drive completion of in-flight work such as the new Nexus developer experience, Standalone Nexus Operations, connector foundations, caller identity, rate limits, and payload encryption. - Customer discovery and evidence. Stay close to design partners and strategic customers like Netflix, Duolingo, and Miro. - Developer and operator experience. Balance SDK ergonomics, schema-first contracts, codegen, service discovery, security, visibility, and control-plane needs. - Cross-functional launch and enablement. Make sure everyone in the company understands the problems Nexus solves and knows how to sell / deploy / support it. - Success metrics. Define adoption and momentum measures: activated accounts, completed Nexus operations, shared-service usage, SDK coverage, design-partner progress, and field readiness. WHAT YOU’LL BRING - Staff-level product judgment. 8+ years in product management or equivalent experience turning ambiguous and technical strategy into shipped outcomes. - Strong technical depth. Ability to reason about distributed systems, workflow orchestration, service-to-service communication, APIs, SDKs, identity, and authorization. - Developer-platform experience. Experience with infrastructure, platforms, integrations, APIs, SDKs, service mesh, API gateways, or cloud developer products. - Customer and field orientation. Comfortable working directly with senior technical customers and enabling GTM teams on a complex product. - Excellent writing and narrative skills. Able to create crisp strategy docs, roadmap narratives, launch materials, and decision memos. - Execution discipline. Can inherit a complicated roadmap, clarify ownership, unblock decisions, and keep the team focused. WHO YOU ARE - You want to build important infrastructure. You’re motivated by products that sit in the critical path for customers and developers. You want to work on something foundational, technically deep, and category-defining. - You operate with ownership. You don’t measure your job by meetings, specs, or process completed. You measure it by customer outcomes, product adoption, team clarity, and whether the right work actually ships. - You move fast without being reckless. Nexus sits in the reliability layer for mission-critical systems. You know when to push for speed, when to insist on rigor, and how to keep momentum without compromising customer trust. - You’re resilient in ambiguity. You’re energized by unclear ownership, messy customer evidence, technical constraints, and hard sequencing calls. You don’t need a perfect roadmap handed to you — you help create one. - You raise the bar for the people around you. You write clearly, invite feedback, give it directly, and help teams make better decisions. You make complex work easier for others to understand and execute. - You put developers and customers first. You want to understand how real teams build distributed systems, where their current tools fail them, and what would make Temporal indispensable in their architecture. BONUS POINTS - Experience with Temporal, workflow orchestration, durable execution, service mesh, API gateways, or distributed systems - Experience with schema registries, code generation, SDK design, or developer portals - Experience with AI infrastructure, agent platforms, MCP/tool registries, or agentic systems - Prior DevRel, Solutions Architecture, technical marketing, or partner-facing product experience WHY THIS ROLE MATTERS - Nexus is past GA and entering breadth. Adoption is real, but the next challenge is expansion across more teams, accounts, and use cases. - The foundation is landing now. Developer experience, connector foundations, and operator controls are the near-term unlocks. - The next wave is strategically important. Connector Ecosystem, Service Hub, and Agentic Communication Fabric could define how Temporal participates in the modern AI and service-connectivity stack. - You’ll shape an important product category. Nexus sits between durable execution, service-to-service communication, platform engineering, and AI systems. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: Novi Sad, South Bačka, Serbia, EMEA From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a Staff Software Engineer to join Cloud Signals , the team behind the systems that measure, bill, and talk to our customers across the dbt platform and, more and more, the combined Fivetran + dbt product. Cloud Signals owns: Billing and usage metering: turning product activity into accurate, auditable usage and billing data, and leading the integration of Fivetran and dbt billing into one consolidated system. Vortex, our telemetry and event pipeline: high-volume event ingestion that feeds the warehouse, product analytics, and downstream systems. The Notification System: the shared service that sends transactional and product notifications (email, in-app, Slack) for teams across the platform. Usage and admin reporting: giving customers clear visibility into consumption as we move toward consumption-based pricing. These systems are on the critical path for revenue and customer trust. As a Staff engineer you’ll set technical direction across them, take on the hardest cross-team problems, and help raise the bar for engineering across the area. Technologies You’ll Use Python and TypeScript for backend services and APIs (Rust, Go, or Java experience also welcome) Relational databases (PostgreSQL) and cloud data warehouses (Snowflake) Event streaming and messaging systems (Kafka or similar) for high-throughput telemetry and usage pipelines AWS (plus exposure to GCP or Azure), Docker, and Kubernetes Terraform for infrastructure as code Datadog for observability, alerting, and on-call Third-party billing and payment platforms, plus internal and public REST APIs AI coding assistants and agents (e.g., Claude Code) as part of everyday development What You’ll Do Own the technical direction for Cloud Signals’ systems: set architecture, write and socialize design docs, and turn ambiguous business goals (consolidated billing, consumption pricing, telemetry expansion) into clear, staged technical plans. Lead the design and delivery of the Fivetran + dbt billing integration: data models, usage pipelines, reconciliation, and migration strategy, so that every customer is billed correctly and on time. Evolve Vortex into a reliable, cost-efficient, scalable event platform: onboard new event types, cut operational dependencies and cost, and make sure data lands in the warehouse correctly and observably. Grow the Notification System into a dependable shared service that other teams can adopt easily. Work closely with Product, Finance, RevOps, Data, and partner engineering teams across both companies, often filling gaps in specs and prototyping to test ideas before you commit to a direction. Raise operational excellence: define SLOs, improve alerting and runbooks, take part in on-call, and lead incident response and blameless postmortems for business-critical systems. Mentor engineers at every level, give thoughtful code and design reviews, and set an example for engineering practices, including effective, responsible use of AI tools in the SDLC. Work across teams, departments, and time zones as a technical partner to engineering leadership on roadmap, staffing, and build-vs-buy decisions. Skills We’re Looking For 8+ years building and operating production software, with a track record of technical leadership on large, cross-team projects Deep experience designing distributed systems and backend services, with a strong focus on correctness, idempotency, and data integrity Hands-on experience with event-driven architectures and streaming or messaging systems (e.g., Kafka) at high volume Strong knowledge of relational databases and data modeling, plus experience with cloud data warehouses such as Snowflake Proven ability to design, build, and consume APIs and integrate with third-party systems Production experience with at least one major cloud provider (AWS preferred), containers and orchestration (Docker, Kubernetes), and infrastructure as code (Terraform) A strong operational mindset: observability (Datadog or similar), SLOs, on-call, incident management, and leading systems through migrations without downtime The ability to spot design flaws in existing systems and lead incremental improvements while still shipping Excellent written and verbal communication: you write clear design docs, align stakeholders with different priorities, and explain technical trade-offs to non-technical partners Fluency with AI code assistants and coding agents for building features, fixing bugs, testing, and investigation, and with conversational AI (Claude, ChatGPT, internal chatbots) for researching, writing, and reviewing SDLC artifacts like TDDs, PRDs, postmortems, test plans, and proposals Bonus Skills Experience with billing, metering, or usage-based pricing systems (e.g., Metronome, Stripe, or in-house rating and invoicing) Experience building telemetry or analytics pipelines (e.g., Snowplow, Iceberg, lakehouse architectures) Experience building notification or messaging platforms (email, in-app, webhooks) at scale Experience with data processing (ETL/ELT), dbt, or other modern data stack tools Experience leading platform consolidation or system integration after a merger or acquisition #LI-IM1 #LI-HYBRID Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: United States, San Mateo, 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. Staff Analytics Engineer San Mateo, CA Role Overview Sony Interactive Entertainment LLC seeks a Staff Analytics Engineer in San Mateo, CA to design and implement curated analytics data products (gold datasets) with clear ownership, versioning, and governed definitions to support multiple stakeholder groups. Requirements Master’s degree in Computer Science or related field or equivalent, and six (6) years of experience serving as an analytics/business intelligence engineer; performing comprehensive data analysis of functional and business requisites utilizing Python, SQL, Tableau, MicroStrategy, and Databricks; collaborating with data scientists and engineering groups to ensure seamless and accurate data processing; pioneering and enacting data modeling strategies and operationalizing novel experiment designs and key performance indicators (KPIs) to refine data models; conducting statistical analyses to evaluate and quantify operational and technical challenges, drawing input from both end-users and partner teams; harnessing advanced Data Science approaches to devise and oversee experiments to enhance model performance and generate insightful recommendations; and leading the development of scalable BI solutions using platforms including MicroStrategy and Tableau, from building the semantic layer or data modeling to reporting. Telecommuting and/or working from home may be permissible pursuant to company policies. Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. 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. $223,546.00 – $300,100.00/year 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 for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. 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 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: Worldwide Launch Your Next Successful Chapter with Veta Virtual! 🚀 💸 Competitive Salary in USD  |  🌍 100% Remote  |  🪙 Crypto & Digital Asset Accounting  |  📊 Fintech & Cryptocurrency Industry Veta Virtual is hiring a Staff Accountant for one of our high-growth clients in the Fintech and Cryptocurrency industry. This is a unique, forward-thinking accounting role built for someone who combines strong foundational accounting skills with a genuine understanding of cryptocurrency and blockchain — supporting digital asset accounting, monthly close processes, and financial reporting for one of the world's largest crypto kiosk networks. If you are a detail-oriented accountant who is excited about the intersection of traditional finance and digital assets, this role was made for you. 🔑 Your Role: As a Staff Accountant , you will support the Accounting and Finance team with a focus on cryptocurrency-related transactions, digital asset management, and monthly close processes — playing a key role in ensuring the accuracy of financial data across a global fintech platform operating thousands of kiosks and an OTC trading desk. Your day-to-day will involve: Preparing and maintaining monthly rollforwards for BTC, ETH, LTC, and other supported digital assets — ensuring accuracy and completeness across all crypto holdings. Reconciling wallet balances to blockchain data and internal subledgers — performing wallet data cleanup, validation, and exception resolution with precision. Performing fair market value (FMV) calculations and remeasurements for digital asset holdings — and supporting position checks and proof-of-reserves style reconciliations. Processing and accounting for crypto donations, rewards, and incentives — and recording and reconciling hardware wallet activity including Trezor and cold storage. Preparing and posting journal entries for month-end close — including balance sheet account reconciliations, flux analysis, and variance explanations. Maintaining fixed asset registers and depreciation schedules — and assisting in preparing financial reporting schedules and audit support packages. Developing spreadsheet reports, verifying financial information, and reconciling accounts — contributing to a culture of accuracy, process improvement, and cross-functional collaboration. Analyzing current accounting policies and procedures — recommending improvements, contributing to SOP development, and supporting cross-functional teams on accounting processes. ✅ What You'll Need: Bachelor's degree in Accounting or a related field. At least 2 years of related accounting experience — with hands-on exposure to journal entries, reconciliations, and month-end close processes. Working knowledge of cryptocurrency and blockchain fundamentals is required — this role is specifically focused on digital asset accounting and crypto transaction processing. Solid understanding of GAAP and general financial accounting principles. Proficiency with Microsoft Office Suite — particularly Excel for reconciliations, reporting, and data analysis. Experience with NetSuite or a similar ERP system is strongly preferred. Excellent organizational skills and sharp attention to detail — you meet deadlines, maintain accuracy under pressure, and never let things slip through the cracks. Strong written and verbal English communication skills — able to collaborate clearly with cross-functional teams and respond to information requests accurately and promptly. Bonus: passion for fintech and the evolving cryptocurrency landscape. Bonus: experience with Alteryx, Tableau, or similar data and BI tools. Bonus: exposure to multi-entity or international accounting environments. To be considered for this role, you must be currently based in Latin America (LATAM) or Europe. 💼 What We Offer: 💸 Competitive salary in USD — paid consistently every month, no matter where you are! 🌴 10 paid vacation days per year plus all U.S. federal holidays. 💻 100% remote — work from anywhere in LATAM or Europe with a professional home setup. 🚀 A fast-paced, high-growth environment at the forefront of global fintech and cryptocurrency — where your accounting work directly supports operations across thousands of locations and multiple international markets. 🤝 A collaborative, supportive culture through Veta Virtual and our client — where precision, curiosity, and continuous improvement are genuinely valued from day one. Ready to Apply? If you are ready to bring your accounting skills into the world of digital assets, support a world-class fintech team, and grow at the cutting edge of cryptocurrency finance — apply now and launch your next chapter with Veta Virtual. Once you apply, you will be invited to complete a short 2-minute video question as part of our screening process. It is your first opportunity to show us your expertise, your attention to detail, and what makes you the right person for this role. We can't wait to meet you!

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers people to perform at a higher level through a deeper understanding of their bodies and daily lives. We handle massive amounts of data continuously streaming up to the cloud from people improving their health and wellness to the world’s greatest sports teams and athletes mandating a fault-tolerant and highly available product. The Connectivity team focuses on bridging the gap between embedded and mobile engineering, ensuring a seamless and consistent experience for members wearing a WHOOP strap. As a Staff Android Engineer on the Connectivity team you'll own the architecture of the software that connects WHOOP hardware to the Android app, and set the technical direction for how that connection performs at scale. From ensuring timely firmware updates to designing innovative ways to establish connections from software to hardware, we bring WHOOP to the highest level of performance and availability across the globe using the latest cutting edge technology. At the Staff level, your impact is measured as much by the engineers and decisions you influence as by the code you write. What you’ll do: - Own the architecture of the Android connectivity layer end to end, from the BLE transport up through history sync and firmware delivery, and drive its evolution across a large modular codebase - Collaborate within a cross-functional environment alongside WHOOP hardware, firmware, and software teams - Establish and refine communication protocols between the WHOOP strap and Android, ensuring alignment with iOS standards - Apply expert-level mastery of the Android Bluetooth stack to manage GATT operations, bonding, and reconnection logic in real-world scenarios - Own connection reliability across the fragmented Android device landscape by diagnosing and mitigating OEM specific Bluetooth, power management, and permission behavior - Create and own systems that aid in analyzing connectivity health of our members, and use that telemetry to set team priorities - Manage a prioritized backlog centered on reducing technical debt, improving code health, and enhancing module testability - Elevate engineering quality through rigorous code reviews, expanded test coverage, and refined architectural design practices - Utilize expert Kotlin proficiency to build product features and define patterns for the broader engineering team - Document new features and architecture using Jira, Confluence and preparing code using Github feature, develop, and master branches - Participate in the incident commander rotation for the whole WHOOP ecosystem and also the release process including getting the app built, managing build variants, signing, sending and testing through Firebase, and submitting to the Play Store - Analyze and monitor user metrics and feedback to determine crash rate or potential bugs and to improve engagement - Represent Android Connectivity in cross-functional forums, including bug triage, product syncs, and firmware coordination - Facilitate the ramp-up of mobile developers, mentor engineers across the Android organization, and assist the backend team with data contracts Who you are: - You are experienced working with consumer-facing apps that control BLE devices. - You have a track record of influencing engineers beyond your own team in the application of architectural and platform design principles - Expert knowledge of best practices for concurrency and multithreading, including Kotlin coroutines and Flow - Product minded engineer with empathy for the member experience - Willingness to learn and grow rapidly across Android and external systems - Extensive experience building, testing, debugging, and delivering native Android apps in a professional environment - Expert knowledge of Android application structure and components as well as lifecycle and Android Design Guidelines - Strong experience with Jetpack Compose and modern declarative Android UI - Experience with Kotlin and frameworks such as Koin, Android Jetpack libraries (including ViewModel, Flows, and Navigation), Room database, and Retrofit / OkHttp - Experience designing modular architecture and dependency boundaries in a large multi-module Gradle codebase, including patterns such as MVI and MVVM - Excellent knowledge of Android Studio, Gradle and CI systems - Experience debugging and diagnosing issues across complex or distributed systems such as firmware, mobile, and backend - Experience using Git to organize feature work - Experience communicating with a RESTful backend - Firm belief that automated testing is important and experience writing both Unit and UI tests - Excellent collaboration and communication skills, driving cross functional problem solving, tradeoff definition, and optimization - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibilityThe WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $170,000 - $230,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Amsterdam, North Holland, Netherlands, EMEA From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. Fivetran's SAP connectors move enterprise data out of SAP and into modern data platforms. We're looking for an all-round SAP specialist who combines strong ABAP skills with deep knowledge of SAP outbound interfacing. You'll work on the interfaces and data extraction mechanisms that let Fivetran reliably pull data from SAP ECC and S/4HANA systems, and you'll help customers and internal teams get the most out of them. You will be the SAP specialist within a team of Java developers. Your knowledge and input is crucial to the success of this team. Technologies You’ll Use ABAP programming using traditional SAPGUI as well as Eclipse (or other IDE). Databases (HANA/Oracle/etc) Cloud environments (AWS/GCP/MS) AI tools Claude/Codex/ What You’ll Do Design, build, and maintain high-performance ABAP components (function modules, classes, CDS views, and enhancements) to drive scalable outbound data extraction from SAP systems. Own and modernize internal SAP test environments to accelerate feature development for current connectors and upcoming public cloud / BTP integrations. Architect robust outbound interfaces leveraging OData, standard and generic DataSources, ODP/ODQ delta frameworks, and RFC connections. Optimize data throughput and reliability across ECC and S/4HANA landscapes by diagnosing and resolving extraction performance bottlenecks and delta synchronization issues. Analyze underlying SAP database structures (HANA and traditional DBs) to unlock efficiency gains and streamline data pipeline performance. Partner closely with engineering, support, and customers to translate complex business requirements into elegant technical architectures. Deliver end-to-end support for enterprise clients by troubleshooting complex connectivity, authorization, and configuration challenges in customer SAP environments. Establish technical design standards, interface specifications, and best practice documentation for internal and external knowledge sharing. Evaluate and integrate emerging SAP technologies—including SAP Datasphere and BTP—to keep Fivetran’s connectors at the forefront of modern data integration. Skills We’re Looking For 10+ years of hands-on SAP development experience, with strong ABAP skills (classic and modern ABAP, ABAP OO, ABAP for HANA) Deep knowledge of SAP outbound interfacing: OData (v2 and v4): service design, SEGW, performance, and security SAP extractors: standard and generic DataSources, delta handling, ODP/ODQ, CDS-based extraction RFC: function modules, BAPIs, destinations, and tRFC/qRFC Solid working knowledge of both SAP ECC and S/4HANA, including the differences in data models and extraction options between them Good knowledge of databases: SQL, query performance and tuning, SAP HANA, and relational database concepts Understanding of SAP data models and key modules (e.g., FI/CO, MM, SD) Experience with SAP authorizations and technical user/role setup for interfaces Strong analytical and troubleshooting skills Good communication skills, with the ability to explain technical topics to non-technical stakeholders Fluent in English Experience in code reviews, design, troubleshooting and testing Ability to use conversational AI systems (like Claude, ChatGPT, and internal chatbots) to support researching, authoring, reviewing, and synthesizing various SDLC artifacts such as TDDs, PRDs, Postmortems, Test Plans, and Proposals Bonus Skills​ Experience with public cloud platforms (AWS, Azure, or GCP), including connecting SAP to cloud data platforms Java development experience Familiarity with data integration/ELT tools and data warehousing concepts Knowledge of SLT, SAP Datasphere, BW and SAP BTP. The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range €131.912 — €164.890 EUR Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity We are looking for an experienced engineer to lead the architecture and hands-on development of the ML and data infrastructure behind our risk and fraud prevention systems. You will help teams move models from experimentation into reliable production services, improve model execution performance, and build scalable data foundations for training, evaluation, and real-time decisions. What You’ll Be Doing Improve model inference latency, throughput, resource utilization, and cost. Profile the full prediction path —from feature retrieval and preprocessing to model execution — and deliver measurable improvements without unacceptable model-quality regressions. Build reusable infrastructure for model packaging, versioning, deployment, serving, monitoring, and rollback across cloud platforms and regions. Design and optimize offline data pipelines on Databricks, Apache Spark, and warehouse/lakehouse technologies, addressing data modeling, partitioning, joins, shuffles, skew, incremental processing, and cost. Connect offline and online feature pipelines, ensuring point-in-time correctness, consistent feature definitions, freshness, lineage, and reproducible backfills. Evolve reliable feature services and data integrations supporting risk models and decision systems. Set technical direction, mentor engineers, and lead delivery across ML, data engineering, cloud infrastructure, security, and product teams. What We Look For In You A record of building and operating large-scale distributed systems, ML infrastructure, or data platforms, with technical ownership across teams. Hands-on experience optimizing production model performance, supported by measurable improvements in latency, throughput, utilization, or cost. Deep understanding of Databricks and Spark, or comparable offline data platforms, including execution plans, distributed query optimization, storage layouts, data correctness, and workload cost management. Experience with the model lifecycle, including training/serving integration, validation, deployment, observability, and rollback. Strong Python, SQL, and at least one backend or systems language such as Java, Scala, Go, or C++. Ability to turn ambiguous requirements into clear architecture and deliver maintainable systems through hands-on engineering and technical leadership. Nice to Haves SageMaker, Alibaba Cloud PAI/EAS, or comparable ML platforms. Inference optimization using tools such as ONNX Runtime, TensorRT, or Triton. Delta Lake, MLflow, feature stores, Kafka, Flink, and low-latency data stores. Fraud detection or financial risk systems. Fluency in Mandarin Perks & Benefits Competitive total compensation package L&D programs for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $214,666 to 321,999 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-SK1 #LI-HYBRID Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Platform Intelligence turns each new Claude model's abilities into API features that developers can build on. Our goal is to make the full intelligence of each model available through the API. We own the capabilities that shape what Claude can do for developers: tool use, built-in tools such as web search and code execution, thinking controls, structured outputs, and the memory, files, and skills APIs. We also run the API side of every Claude model launch, including its safety features and controls. That means getting the API ready for each new model, coordinating with research, safeguards, product, and cloud partners, and making sure the model, its features, the SDKs, and the docs all ship together on launch day. The work sits where research meets product. We work with new models before they are public. When a model gains a new ability, we work out what it should look like as an API, build it, and ship it to developers on our own platform and on cloud platforms. Those decisions shape how developers first use each model. We also own API versioning and the evals that tell us a capability works in production. What you'll do You'll lead the design, build, and operation of API capabilities used by developers around the world. You'll work with research to understand what a new model can do and turn that into an interface that is simple, durable, and hard to misuse. You'll lead the API side of new model launches. You'll plan the work, track readiness across teams, resolve the issues that come up late, and see the launch through on the day. Between launches, you'll make the next one faster and safer. You'll set technical direction for work that spans several teams, write clear design proposals, review API designs from other teams, and mentor engineers on the team. Representative projects Lead API readiness for a Claude model launch, so that every feature works on day one across our API, SDKs, docs, and cloud partners Take a new model ability from research prototype to public API feature, from interface design to production rollout Build and operate tools such as web search and code execution under real traffic Automate the manual parts of a model launch Build the evals that catch a capability regression before a launch You might be a good fit if you: Have led technical projects that spanned several teams, from design through launch and operation Have designed and operated production distributed systems where correctness, latency, and availability all matter Have strong product sense and care about API design and developer experience Make sound technical decisions with incomplete information, as models and priorities change close to a launch Explain tradeoffs clearly to research, product, and go-to-market partners, including non-engineers Make the engineers around you better through design review and mentoring Use AI tools as a regular part of how you design, build, and review software Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI Strong candidates may also have: Building public APIs, SDKs, or developer platforms Working with large language models, including tool use, agents, or evals Running launches or migrations with fixed deadlines and many dependent teams Building tools for agents, such as search or code execution Storage, memory, or context systems at scale Integrating with cloud platforms such as AWS, Google Cloud, and Azure Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people and teams adopt Perplexity and Computer on their own, and the Growth team owns the loops that turn that adoption into lasting usage and revenue. We're hiring a Growth GTM Engineer to build the systems that turn product usage into revenue and turn self-serve usage into enterprise pipeline. You'll turn first-party Computer and Enterprise usage into account-level signals. You'll ship the in-product paths that capture sales intent, and build and validate those signals with data science. Alongside product engineers, you ship production code, instrument the product and run experiments. You'll partner closely with Revenue Operations, who own Salesforce, CPQ, routing and sales reporting. Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Snowflake | Eppo | AWS WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Build account-level PLG signals: map users and workspaces to accounts, and define the activation, expansion and intent signals that predict an enterprise deal. Publish them as trusted models that sales use for scoring and routing. - Own the in-product paths from self-serve to sales, like contact-sales entry points, high-intent upsells and meeting booking, across web and app. Decide who sees them, when and with what context, and measure them end to end, from surface to booked meeting to pipeline. - Lead experiments end to end on sales-assist surfaces and targeting, from hypothesis and instrumentation through analysis and rollout. Partner with Data Science to measure meetings and qualified opportunities, not just clicks. - Build the internal tools and automation Growth and GTM teams run on - Partner closely with Sales, Sales Systems, Data Science, Marketing and Product to turn product signals into pipeline. Be upstream partner to sales systems that own Salesforce, CPQ and routing QUALIFICATIONS - 2+ years as a growth, GTM, data or full-stack engineer, shipping production code (TypeScript/React, Python). - Strong SQL and comfort building data models in a warehouse (Snowflake, dbt-style). - Experience instrumenting product events and running A/B experiments end to end. - Commercial instinct: you start from a revenue problem ("trial-to-enterprise conversion won't move") and work back to the signal or surface that fixes it. - Comfort with REST APIs, webhooks and integrating third-party GTM tools. - Operator mindset: you talk to customers directly, ship fixes, and don't need a PM to translate requests. NICE TO HAVE - Experience in a PLG-to-enterprise motion: product-qualified leads, scoring users into accounts, sales-assist flows. - Experience as a GTM or growth engineer at a B2B SaaS or GTM-tooling company. - Entity resolution, dedup or domain enrichment. - Familiarity with Salesforce, Default, Chili Piper, Intercom, Clay, Hightouch/Polytomic or similar (as a consumer and integrator, not an admin). - Experience building LLM-powered internal tools or agents.

Location: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people and teams adopt Perplexity and Computer on their own, and the Growth team owns the loops that turn that adoption into lasting usage and revenue. We're hiring a Growth GTM Engineer to build the systems that turn product usage into revenue and turn self-serve usage into enterprise pipeline. You'll turn first-party Computer and Enterprise usage into account-level signals. You'll ship the in-product paths that capture sales intent, and build and validate those signals with data science. Alongside product engineers, you ship production code, instrument the product and run experiments. You'll partner closely with Revenue Operations, who own Salesforce, CPQ, routing and sales reporting. Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Snowflake | Eppo | AWS WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Build account-level PLG signals: map users and workspaces to accounts, and define the activation, expansion and intent signals that predict an enterprise deal. Publish them as trusted models that sales use for scoring and routing. - Own the in-product paths from self-serve to sales, like contact-sales entry points, high-intent upsells and meeting booking, across web and app. Decide who sees them, when and with what context, and measure them end to end, from surface to booked meeting to pipeline. - Lead experiments end to end on sales-assist surfaces and targeting, from hypothesis and instrumentation through analysis and rollout. Partner with Data Science to measure meetings and qualified opportunities, not just clicks. - Build the internal tools and automation Growth and GTM teams run on - Partner closely with Sales, Sales Systems, Data Science, Marketing and Product to turn product signals into pipeline. Be upstream partner to sales systems that own Salesforce, CPQ and routing QUALIFICATIONS - 2+ years as a growth, GTM, data or full-stack engineer, shipping production code (TypeScript/React, Python). - Strong SQL and comfort building data models in a warehouse (Snowflake, dbt-style). - Experience instrumenting product events and running A/B experiments end to end. - Commercial instinct: you start from a revenue problem ("trial-to-enterprise conversion won't move") and work back to the signal or surface that fixes it. - Comfort with REST APIs, webhooks and integrating third-party GTM tools. - Operator mindset: you talk to customers directly, ship fixes, and don't need a PM to translate requests. NICE TO HAVE - Experience in a PLG-to-enterprise motion: product-qualified leads, scoring users into accounts, sales-assist flows. - Experience as a GTM or growth engineer at a B2B SaaS or GTM-tooling company. - Entity resolution, dedup or domain enrichment. - Familiarity with Salesforce, Default, Chili Piper, Intercom, Clay, Hightouch/Polytomic or similar (as a consumer and integrator, not an admin). - Experience building LLM-powered internal tools or agents.

Location: United States, San Mateo, 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. Staff Software Engineer, Data Governance & Trust San Mateo, CA About the role Sony Interactive Entertainment is seeking a Staff Software Engineer to help shape and deliver the technical foundation for Data Governance and Trust across our data and AI ecosystem. Our ambition is to make data understandable, reliable, reusable, and appropriately governed for the people, applications, and AI systems that depend on it. Achieving this requires shared platform capabilities, clear ownership, and governance practices embedded into how teams build and operate data products. In this role, you will establish technical direction, lead initiatives across teams, and remain hands-on in architecture and implementation. You will connect metadata, lineage, data quality, semantic context, and policy controls into practical capabilities that help teams use data with confidence. You will also be a trusted technical representative for the Data Governance and Trust group. We are looking for someone who can lead productive discussions, explain complex tradeoffs, navigate difficult conversations, and build alignment across engineering, business, governance, security, and privacy stakeholders. This is an individual contributor leadership role with impact across teams. What you will do Set technical direction and deliver shared capabilities Shape the architecture and technical roadmap for Data Governance and Trust in partnership with engineering leadership, product partners, domain teams, and governance stakeholders. Lead initiatives from discovery and ambiguous requirements through design, implementation, adoption, and ongoing operation. Design and build services, integrations, APIs, and automation that connect metadata, ownership, classification, lineage, quality signals, and policy information across the data ecosystem. Establish reusable engineering patterns that embed trust requirements into data publishing, discovery, access, consumption, change, and retirement. Stay hands-on through prototypes, production code, design reviews, and the resolution of complex technical problems. Lead conversations and build alignment Serve as a technical spokesperson for the group in architecture discussions, planning forums, domain engagements, and leadership reviews. Facilitate discussions among stakeholders with different priorities, surface disagreements constructively, and guide decisions toward clear outcomes. Explain technical choices, business implications, risks, and costs to both engineering and nontechnical audiences. Challenge assumptions respectfully, incorporate feedback, and help teams reach workable agreements on standards, ownership, and implementation. Document decisions, clarify responsibilities and dependencies, and follow through on commitments across teams. Build relationships that enable adoption through credibility, collaboration, and influence. Make governance practical and sustainable Partner with governance, security, privacy, and domain stakeholders to translate agreed requirements into implementable controls and traceable evidence. Help domain teams define data contracts, quality expectations, ownership responsibilities, and lifecycle practices supported by shared platform capabilities. Connect quality and reliability signals to accountable owners, consumer communications, and remediation workflows. Evaluate build, buy, and integration choices based on interoperability, usability, reliability, operating cost, and long-term flexibility. Measure success through improvements in approved data use, adoption, reliability, reuse, and operational effort. Prepare the foundation for AI consumption Develop ways to make business meaning, provenance, quality status, and permitted-use information available to applications and AI through supported interfaces. Partner with AI and platform teams on governed access to data and context, including traceability and defined behavior when required trust information is missing. Support shared semantic definitions and metadata models while preserving clear accountability within business domains. Strengthen the team Mentor engineers in system design, technical judgment, stakeholder engagement, and leadership. Raise engineering standards for reliability, maintainability, testing, observability, and documentation. Help engineers take broader ownership and communicate their recommendations effectively. What you bring A track record of designing, building, and operating production software or data platforms, with demonstrated impact across multiple teams. Deep knowledge of metadata management, data governance, lineage, data quality, privacy engineering, access controls, or closely related platform domains, grounded in practical delivery. Hands-on expertise building or extending metadata and catalog platforms such as Atlan, Alation, DataHub, OpenMetadata, or comparable systems. A practical understanding of federated ownership models, data stewardship, semantic models, business glossaries, or certified metrics. The ability to work across warehouse, lakehouse, streaming, and data transformation environments. Demonstrated delivery of data contracts, automated lineage, quality checks, or policy as code. Sound judgment in translating ambiguous business or policy requirements into clear technical designs and delivered outcomes. Proven ability to lead initiatives across teams without direct reporting authority. Skill in leading difficult technical or organizational conversations, resolving competing priorities, and securing clear decisions and commitments. Strong written and verbal communication, including architecture proposals, decision documents, and presentations tailored to different audiences. A collaborative approach grounded in listening, respectful challenge, and shared accountability. A commitment to mentoring engineers, supported by examples of improving the effectiveness of the teams around you. What would be valuable Strong software engineering skills, including proficiency in a language such as Python, Java, or Go, and practical SQL experience. Experience with distributed systems, APIs, integrations, and cloud data infrastructure, including sound judgment about reliability, consistency, security, and failure handling. Experience implementing controls that generate operational evidence. Delivering governed data or context services for analytics, applications, machine learning, or AI agents. Leading platform adoption, modernization, or migration across organizational boundaries. Representing technical work through internal forums, technical writing, communities of practice, or external presentations. What success looks like Partner teams understand the technical direction, the decisions required, and their responsibilities. Cross-team discussions produce documented decisions, accountable owners, and sustained follow-through. Priority workflows demonstrate connected governance capabilities in production, supported by clear operating ownership. Producers and consumers can access relevant meaning, ownership, lineage, quality, and permitted-use information within their workflows. Shared patterns reduce repeated implementation work and manual coordination. Engineers across the group grow in technical judgment, communication, and leadership. #LI-KS1 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. $216,200 — $324,400 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: Canada What The Role Is We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless. Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting. We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next. Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help. If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on. What You'll Own You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape: Product recommendations across every surface. Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them. Personalizing the Feed. Deciding which products, editorial content and social content each family sees, and in what order. Personalizing search. Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations. Making Addie (our AI registry assistant) better at recs. Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site. In practice, you will: Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric. Make the modeling and architecture calls that span surfaces and are expensive to reverse. Design the evaluation, offline and online, that tells us a model is good before and after it ships. Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches. Partner with product, design and data to help shape what's worth building. Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org. Who You Are You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey. You bring: Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias. Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend. An ability to take an ambiguous problem and start moving before anyone hands you the full picture. A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings. An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue. AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next. Compensation We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is 299,300 to 372,600 CAD plus a target annual bonus of 20 percent of base. That's total target cash of roughly 359,160 to 447,120 CAD. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. If your timeline is tight, tell us and we'll move faster. Benefits Company-paid medical and fully covered dental and vision A 401(k) match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things To Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address

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

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE DX Engineering shows developers what building on Render is actually like. We make the tutorials, demo apps, templates, and videos that get developers to try Render, and we build the agent skills and internal tooling that keep that work running at scale. We're also often the first real users of what Render ships. We test major releases end to end, the way a customer would, and tell Product and Engineering where they fall down before customers hit it. As a DX Engineer, you'll own technical content and code from the first idea to a working sample app, docs, and video. You'll work with DevRel, Product Marketing, Product, and Engineering, and you'll have real influence over how developers and coding agents discover and adopt Render. This is a remote role within the US, with the option to work out of our headquarters in San Francisco. WHAT YOU'LL DO - Build tutorials, demo apps, and videos that show developers how to build real things on Render, with a focus on AI applications, agents, and Render's AI runtime products like Render Workflows. - Own Render templates and the render-examples GitHub org for the frameworks developers ask about most. Everything you ship has to deploy and run. - Build agent skills, automation, and internal tools so the team stops doing repetitive content and ops work by hand. - Improve how Render shows up in LLM and answer-engine results. Dig into why Render is missing from an answer it should be in, then ship the content or fix that changes it. - Alpha test new releases end to end and write up what breaks, with enough detail for Product and Engineering to act on. - Contribute code to developer-facing surfaces like the Render CLI, MCP server, SDKs, and docs. - Shape the content roadmap and quality bar with Product, Engineering, and Marketing, and iterate on feedback and metrics. - Set technical direction for DX Engineering's content and tooling, and raise the bar for the rest of the team through reviews, standards, and your own work. WHAT WE'RE LOOKING FOR - 8+ years building developer content, or working as an engineer who teaches, at a developer tools or infrastructure company. - Experience setting technical direction and raising the bar for a team. - Full-stack engineering experience. Strong backend skills (Node.js/TypeScript, Python, Postgres), comfort with Docker and containers, and enough frontend skill to ship sample apps end to end. - Deep, hands-on knowledge of AI agents and the workloads they run. You've built and deployed agents that call tools, run code in sandboxes, and handle long-running tasks with retries and state, and you know what infrastructure each of those needs. - Experience with the agent stack: MCP servers, agent frameworks, LLM APIs, evals, and durable workflow or background job systems. - Daily fluency with coding agents like Claude Code, Codex, and Cursor, and the taste to ship quality work at a steady cadence with them. - Excellent technical writing. You know what world-class developer content looks like. - A track record of owning projects end to end with little direction. - Strong intuition for developer tools and a love of well-crafted user experiences. NICE-TO-HAVES - You've used Render before, professionally or on side projects. - Experience with AEO or SEO, or with measuring how content performs in LLM answers. - A public body of work: talks, a YouTube channel, popular open source repos, or a well-read blog. - Experience presenting workshops and technical talks. SOME PROJECTS YOU MIGHT WORK ON - A video series on building and deploying an MCP server on Render. - A sample app for an upcoming launch, built with Product and Engineering ahead of release. - An agent skill that turns a tutorial into a tested, deployable template. - Tracing why coding agents fail on a specific docs page, then shipping the fix. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: United States, San Mateo, 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. JOB PURPOSE: The Technical Program Governance team enables complex technical initiatives across PlayStation engineering organizations by creating clarity, alignment, and disciplined execution across organizational boundaries. As a Staff Technical Program Manager, you will lead large, strategic technical programs that span multiple teams, technologies, and stakeholders. You will translate business and technical objectives into executable plans, bring structure to ambiguity, and ensure risks, dependencies, decisions, and tradeoffs remain visible and actively managed. This role requires a strong technical foundation and the judgment to operate as a trusted partner to engineering and architecture leaders. You will influence without relying on positional authority, select and adapt program approaches to fit the problem, and improve the operating systems that help teams deliver effectively at scale. EXPERIENCE & QUALIFICATIONS: Essential • 8+ years of relevant technical program or project management experience, including ownership of complex software or technology initiatives spanning multiple teams or organizations. • Demonstrated technical fluency across software systems, platforms, architecture, integrations, and engineering practices; able to understand system interactions, ask informed technical questions, and translate technical complexity into program decisions. • Proven ability to lead large strategic programs end to end, from problem definition and planning through execution, delivery, and measurable outcomes. • Strong independent judgment and problem-solving skills, with experience operating effectively in ambiguous environments where the path forward is not predefined. • Experience managing cross-team dependencies, technical risks, roadmaps, milestones, requirements, decision points, and delivery tradeoffs across the software development lifecycle. • Ability to influence senior technical and business leaders, build alignment across competing priorities, and drive decisions without direct authority. • Experience designing or improving program operating models, governance, planning cadences, metrics, or ways of working that scale beyond a single initiative. • Strong written and verbal communication skills, including the ability to create concise executive narratives while maintaining sufficient technical depth for engineering audiences. • Demonstrated ability to mentor, coach, or raise the effectiveness of other TPMs and cross-functional partners through reusable practices and knowledge sharing. Desirable • Prior hands-on experience in software engineering, systems engineering, QA, architecture, or another technical discipline. • Experience supporting platform, infrastructure, developer tooling, cloud, distributed systems, or other complex engineering environments. • Experience leading standardization, transformation, or organizational change initiatives across multiple technical teams. • Background in the games or interactive entertainment industry. KEY RESPONSIBILITIES & SCOPE FOR DECISION MAKING: Technical Program Management • Lead large, strategic technical programs spanning multiple engineering teams, organizations, technologies, or geographies, with accountability for end-to-end outcomes. • Build integrated program plans and roadmaps that connect technical requirements, architecture, dependencies, milestones, resources, risks, and decision points. • Develop sufficient understanding of system architecture and technical constraints to identify cross-system impacts, challenge assumptions constructively, and improve planning and decision quality. • Partner closely with engineering leaders, architects, product partners, and other technical stakeholders to translate objectives into clear execution strategies and drive resolution of complex issues. • Anticipate and actively manage technical and organizational dependencies, surfacing tradeoffs early and driving decisions before they become delivery blockers. • Establish clear program health measures and provide decision-quality visibility into progress, risk, scope, and outcomes for senior stakeholders. Strategy and Decision Support • Operate as a trusted partner to senior leaders, using technical context, program data, and organizational knowledge to shape recommendations and execution strategy. • Use independent judgment to determine the right program methodology, governance, and operating model for the work rather than applying process mechanically. • Analyze complex problems across organizations and technologies, identify patterns and root causes, and drive practical solutions that balance technical, business, schedule, and resource considerations. • Strengthen requirements and major program decisions by connecting business objectives with technical realities, long-term implications, and customer or organizational value. • Create clear narratives and recommendations that enable senior leaders to understand options, tradeoffs, risks, and required decisions. Organizational Impact and TPM Practice • Design and improve scalable program practices, governance, planning cadences, OKRs/KPIs, and decision mechanisms that increase clarity and execution effectiveness across multiple teams. • Identify where existing processes or methodologies create unnecessary friction and adapt or simplify them while preserving appropriate rigor and accountability. • Lead change and standardization efforts where needed, building adoption through stakeholder engagement, practical implementation, and measurable outcomes. • Mentor TPMs and cross-functional partners, share reusable practices, and contribute to stronger technical program management capability across the organization. KEY PERFORMANCE INDICATORS The individual will be measured on: • Successful delivery of large, complex technical programs with clear business and engineering outcomes. • Quality and timeliness of decisions, risk management, dependency resolution, and executive visibility. • Effectiveness in creating alignment across technical teams and senior stakeholders without direct authority. • Measurable improvements to program operating models, governance, and organizational execution capability. • Demonstrated technical credibility, independent judgment, and ability to raise the effectiveness of others. 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. $206,800 — $310,200 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: Remote - Global Workplace: Remote At Moxie, we empower ambitious aesthetic entrepreneurs to build profitable, independent practices—without burnout, overwhelm, or guesswork. In just a few years, we've grown from an idea to a global, remote-first team now supporting 700+ practices nationwide. Our purpose is simple: to unlock sustainable success for aesthetic entrepreneurs, at every stage of their journey. STAFF AI ENGINEER We're looking for a Staff AI Engineer to lead some of Moxie's highest-impact AI projects in Q4 2026 and H1 2027, including Maia, the Context Engine, and AI drafts. Beyond the project work, you'll provide technical leadership across the company and own and validate major architectural decisions that shape how Moxie builds, with particular responsibility for our AI systems and shared AI platform. You'll join the Client Experience team and work day to day with Product, Design, QA, Operations, and your engineering peers. You'll inherit live LLM features and a growing shared platform underneath them, including customer-facing systems where quality is visible to patients and providers. The bar is production, not demos. OUR OBJECTIVES FOR THE ROLE - Become a primary IC on Moxie's AI initiatives. Within your first month you're contributing to production AI systems, understanding our architecture and key workflows, and identifying opportunities for improvement. By month three you're a leading technical contributor on one or more AI initiatives, including Maia, AI drafts, or the Context Engine. - Ship early wins that improve AI quality and reliability. Within your first two months, deliver targeted fixes and improvements to known failure modes, evaluation coverage, or production reliability, with measurable evidence that they worked. - Lead a major AI project from design to production. Take one meaningful AI initiative through design, architecture review, cross-functional collaboration, and launch, including the evaluation and guardrail systems needed to operate it reliably. By month six, lead a second, more ambitious initiative to a visible milestone or production-ready state. - Shape architecture across the company. Within your first month, you're actively participating in architectural discussions and identifying opportunities to improve Moxie's systems. By month three, you're leading technical proposals, influencing major architectural decisions across teams, and taking designs from proposal through review, approval, and implementation, with particular ownership of our AI architecture and shared platform. - Make AI quality measurable and scalable. Within six months, our AI features have measurable quality scorecards, regressions are caught before production, and the Context Engine is becoming the standard data path for AI surfaces, supported by shared evaluations, guardrails, and observability. - Own non-project technical initiatives and engineering culture. Start owning at least one org-level initiative in your first three months (for example AI evaluation standards, agentic SDLC improvements, code review practices, or documentation culture), and by month nine own one or two initiatives with measurable gains in quality or velocity, while shipping v1 of one or more key initiatives. WE'RE LOOKING FOR - Staff-level engineering experience. You've led large, ambiguous initiatives as a hands-on IC, owning delivery, tradeoffs, and major architectural decisions across teams. - Production LLM experience. You've led the design and delivery of LLM agents or generative features that real customers depend on, not just prototypes or internal tools. - Technical leadership and engineering standards. You've improved engineering practices, influenced peers across teams, and worked with Product, Design, and engineering leadership to resolve complex decisions and raise the technical bar. - AI evaluation and quality engineering. You've built evaluation systems for production AI, combining automated tests, agent traces, human feedback, and production monitoring to measure quality, catch regressions, and continuously improve reliability. - Sound agent and tool design. You know when to use deterministic code versus an LLM, design safe tool boundaries and human handoffs, and manage reliability, security, latency, and cost tradeoffs. You make pragmatic build-versus-buy and model-provider decisions. - Strong backend and platform engineering. You're comfortable with Python and Django, Postgres, Redis, async workers, and REST or GraphQL, and can design shared AI infrastructure with clear contracts, caching, and tenant isolation. This is not a role for someone who starts by swapping models or rewriting prompts before measuring what is actually broken. WHY JOIN US? - Ship production AI that patients and medspa staff use every day. Maia answers medspas' texts and calls, and AI drafts go out from the provider's own number, so your work is visible to real people. - Breadth across several AI products and the shared platform underneath them, with real architectural influence as a decision-maker on the architecture review board. - A proprietary data advantage. You'll build on clinical and practice data from roughly 1,200 medspas that competitors can't access. - High-trust, high-ownership IC work at staff level, with a say in the AI roadmap and in how Moxie builds AI. - Above all, we're in this to empower small business owners to own and grow their businesses. If you succeed, Med Spas will remain the opportunity for independent owner-operators instead of being dominated by a small number of large chains. If that speaks to you, speak to us. - Competitive salary At Moxie, we believe in creating a workplace where everyone feels valued, trusted, and included. Our team lives by our values: act as owners, give more than we take, move with speed and care, and simplify and learn every day. We welcome people of all backgrounds, experiences, and perspectives to apply. If you require any accommodations to fully participate in the interview process, please let us know, we’re happy to assist.