Вакансии

Location: Chicago, New York City, London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Our Unified Platform (UP) organization builds and offers managed data services, shared infrastructure, and metadata management systems that underpin our common query layer and power batch and streaming pipelines that power teams across DRW. As a Staff Engineer focused on the Data Platform , you will bring experience scaling data platforms to shape and uphold DRW’s long-term data platform vision, translating data strategy into engineering products and managed services used by Traders, Quantitative Researchers, and Back-Office personnel. You will work across tooling, producer, and consumer teams to connect business priorities with technical direction and hands-on delivery. This is an individual contributor role combining strategic thinking, architectural leadership, software development, and mentorship, with responsibility for technical initiatives that span teams. Key Responsibilities Contribute to and uphold the overall vision for DRW’s Data Platform, guiding its architecture and evolution to advance the firm’s data strategy. Work with engineering leads , product managers , and stakeholders to understand business priorities and translate data strategy into engineering products, platform capabilities, and contribute to the sequenced technical roadmap. Design , guide, and build managed platform services for data storage, distributed query execution, batch and streaming processing, and workload orchestration, owning their lifecycle from provisioning and upgrades through production support , refining the managed offers from direct user feedback. Lead delivery across team boundaries, turning ambiguous requirements into practical designs and measurable outcomes while balancing immediate business needs with long-term platform goals. Drive architecture reviews and technology decisions, documenting trade-offs and building consensus around patterns that uphold the platform vision across the data ecosystem. Own the strategy for large-scale data governance and b uild platform capabilities for metadata management, discovery, lineage, schema evolution, and data qua lity. Partner with security and data stakeholders on access controls and usage tra cking. Troubleshoot distributed systems, contribute to production support and incident response, and drive lasting improvements through root-cause analysis, automation, and operational documentation. Mentor engineers across teams through design reviews, code reviews, and hands-on collaboration, strengthening engineering practices and helping others take ownership of complex systems. Required Qualifications Extensive experience designing, building, and operating large-scale, data-intensive distributed systems , including technical leadership of initiatives spanning multiple teams. Experience coordinating with engineering leadership to accelerate team- and organization-wide delivery within existing processes and practices. A track record of translating data or business strategy into engineering products and technical roadmaps, with the judgment to align near-term delivery with a long-term platform vision. A track record of building and offering managed platform services to other teams, owning provisioning, upgrades, reliability, and ongoing support throughout the service lifecycle , working directly with users to incorporate their requirements and feedback into product and roadmap decisions. Experience scaling metadata management systems, such as data catalogs or lineage tracking systems , that span multiple storage and compute technologies . Expertise in Java and/ or Python, with a proven ability to deliver high-quality, maintainable production software, and strong familiarity with SQL and Linux environments. Deep understanding of distributed systems trade-offs, including consistency, fault tolerance, concurrency, partitioning, and recovery from partial failures. Production e xperience building both batch and stream processing systems at scale , demonstrating practical knowledge of state management, replay, backpressure, and delivery guarantees. Experience deploying data processing and query technologies such as Flink, Spark, and ClickHouse , and the ability to guide platform us ers on the performance and operational trade-offs among them. Experience with multiple storage technologies, including object storage, relational or NoSQL databases, and event streaming systems such as Kafka . In-depth k nowl ed ge of the internals of open table formats such as Iceberg or Delta Lake. Extensive e xperience with data modeling, schema governance and evolution, and formats and serialization systems such as Arrow, Parquet, Protobuf , or Avro. Familiarity with building and operating cloud-native data infrastructure, including Kubernetes, workflow orchestration, automated deployment, and production monitoring. Excellent written and verbal communication skills, with the ability to communicate a technical vision, explain trade-offs, align stakeholders, and lead through influence across a globally distributed organization. Strong technical judgment and problem-solving skills, with the ability to prioritize competing needs, deliver incrementally in a fast-paced trading environment, and develop other engineers. Desirable Qualifications Experience scaling managed data services across teams with different workloads, service expectations, and operational constraints. Hands-on knowledge of data governance in regulated environments. Familiarity with financial datasets and the needs of trading, quantitative research, or back-office users. The annual base salary range for this position is $200,000 to $275,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-Insert Recruiter Initials Here1]

Photoroom is looking for a Staff Product Manager Agentic and AI Platform to own and develop its AI platform, agentic workflows, and reusable AI product capabilities.

Location: Remote - USA At Counterpart Health, we are transforming healthcare and improving patient care with our innovative primary care tool, Counterpart Assistant. By supporting Primary Care Physicians (PCPs), we deliver improved outcomes at lower cost through early diagnosis and longitudinal care management of chronic conditions. We're hiring a Staff Product Manager to own the longitudinal patient record, one trusted view of the care each patient receives across every setting, from the primary care office to the specialist to a hospital stay. Every Counterpart product builds on this record. Our clinical data comes from hundreds of sources, including health information exchanges, EHRs, labs, ADT feeds, pharmacy fills, prior authorizations, and claims from our health plan customers. Each one captures part of a patient's care. The longitudinal record connects them into one history of the patient's visits, conditions, medications, and results. You will ensure completeness and consistency in how those sources come together, so providers walk into each visit with the full picture, care gaps get closed, and quality and risk adjustment programs capture the care patients actually received. Our AI reasons over the same record, so improvements to the record expand what our AI can reliably do. That work takes clear clinical definitions, sound data modeling, and AI applied where it adds scale, such as classifying documents and connecting records across sources. The result is that every AI tool we build works from the same view of each patient. You will report to the Director of Product, Clinical Data Products, and lead the Longitudinal Patient Record pod. You will partner closely with engineering, our clinical team, and data consumers across the company. What you will own and improve Product strategy. Set the vision and roadmap for the longitudinal record. Find the highest-value problems across the products and programs that depend on it, and make the trade-offs among completeness, accuracy, timeliness, and investment. A trusted record. Define how care events and their dates, settings, providers, and facilities are represented consistently, and how medications, conditions, labs, and procedures connect to those events and to the patient's history over time. Set clinically grounded rules for combining sources that each describe part of the same care, so every fact can be traced to the evidence behind it. A unified record of acute events. One record of each hospitalization, ED and post-discharge care management built from multiple sources such as: ADT notifications, prior authorization and admission notices, facility claims, medical records (especially discharge documentation), and where the patient went at discharge. Anyone working with the patient sees the whole stay, from admission through discharge to the next setting of care. Data for every use case. The record serves providers at the point of care and the programs that depend on complete care history: quality measurement (HEDIS), risk adjustment and RADV audits, payment integrity, and revenue operations. Providers, quality analysts, and operational teams all work from the same care history. How every source becomes part of the record. You own patient matching, deduplication, normalization, and clinical terminology mapping, which turn raw data from each source into a trusted part of the patient's record. Every new source runs through them, so improvements are built once and reused across products. Adoption. A canonical field counts only when clinicians use it. You own the path from definition to adoption: requirements, a migration plan per use case, and retiring fragmented, duplicate versions of the same data. What success looks like The record gets more complete, accurate, and timely, and you can show it with numbers. Products and programs adopt the shared record and retire their own versions of it. New customers and markets reach a usable patient record with less time and less one-off work. You can show what those gains changed downstream: more complete evidence for quality and risk adjustment, earlier visibility into admissions and care transitions, and fewer inconsistencies across products. You run a clear decision process with clinical and engineering partners, and definitions are documented, adopted, and applied consistently. You should get in touch if You have 8+ years of product management experience, including owning a data platform, data model, or shared data product used by multiple teams. You have set product strategy for a platform with many internal consumers and made the trade-offs that came with it. You have deep working knowledge of healthcare data and the clinical utility: institutional and professional claims, clinical documents such as C-CDA, FHIR resources, ADT feeds, and lab data. You know what part of a patient's care each covers and where the gaps are. You have defined canonical or master data (patient, provider, facility, encounter, clinical concepts) and gotten other teams to adopt it. You work in the data yourself: reviewing charts, investigating discrepancies, running analyses, and testing a definition against real records before it ships. You use AI to accelerate that work and know how to validate its output. You have led cross-functional projects through influence, setting direction and driving delivery across engineering, clinical, and operations teams you don't directly manage. You can point to a time a data improvement you owned contributed to a business result, such as a clinical outcome otherwise missed, avoided patient abrasion through duplication of care, physician time savings not chasing portals, or similar impact. Benefits Overview : Financial Well-Being : Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions. Physical Well-Being : We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare. Mental Well-Being : We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. Professional Development : Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews. Additional Perks: Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities Reimbursement for office setup expenses Monthly cell phone & internet stipend Remote-first culture, enabling collaboration with global teams Paid parental leave for all new parents And much more! About Counterpart Health: In 2018, Clover Health set out to do something unprecedented: build a clinically intuitive, AI-enabled solution that fits within physicians' workflows to help support the earlier diagnosis and management of chronic conditions. Years later, that vision is a reality, with thousands of practitioners using Counterpart Assistant during patient visits to improve disease management, reduce medical expenses, and drive success in value-based care. With an exceptional team of value-based care and technology experts, Counterpart Health is driving value-based care at the speed of software. Counterpart Health is a subsidiary of Clover Health. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility. #LI-REMOTE Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc. A reasonable estimate of the base salary range for this role is: $188,500 — $245,000 USD

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Staff Regional Marketing Manager, you will own regional marketing for the sales team in your territory and set the standard for how the regional team plans and runs its work. You will choose, plan, and run the events and campaigns that create, expand, and accelerate pipeline in your region, and you will move easily between high-level strategy and creative, detailed execution. Staff is a leadership-level individual contributor role: you lead through the work you build and ship, not through direct reports. In a modern marketing organization, that means building and running your own plans, programs, measurement, and AI-assisted automation instead of handing them off, and it suits builders who are comfortable being a leader without a team to manage. Your audience is CIOs, CTOs, VPs of engineering and platform, and the security leaders who govern how their teams ship software. You will judge audience quality by seniority and buying role, not headcount, so you will need to understand how they work and what they want from a vendor. You will support both direct and channel sales teams, work with GitLab partners on Channel and Alliance Marketing activities, and partner with external agencies and third parties to prepare and run campaigns. As a senior individual contributor, you will mentor other regional marketers, help build and improve team process, and share best practices with regional peers by planning and operating transparently. Your impact is measured in pipeline: the target is 10X spend contribution to sales pipeline for your region, with your regional budget spent within 5% variance. This role supports one of our sales regions (AMER, EMEA, or APAC), and involves travel up to 50% of the time. What You’ll Do Drive results for your region as its marketing leader: own the pipeline and growth outcomes, and go beyond events and experiences to bring partners in to drive marketing across channels, in support of growth through our revenue team. Adapt digital and content marketing programs to the needs of your regional sales team. Create, expand, and accelerate sales opportunities through regional and account-focused campaigns that promote GitLab’s products and services, within the marketing strategy. Set regional event and campaign strategy, with discretion over which events and campaigns best support regional sales goals, and manage events onsite, including logistics, booth staffing, and swag. Project manage every campaign from start to finish, following the GitLab process, so each one meets its objectives, arrives on time, and stays within budget, then measure and report on its effectiveness. Lead cross-functional work to drive demand generation and regional marketing plans, and advocate for your sales region within marketing and for marketing with your sales team. Support Channel and Alliance Marketing activities with GitLab partners, from campaign approval through execution. Work with external agencies and third parties to prepare, manage, and execute campaigns. Mentor and guide regional marketing specialists and managers, and lead in building and driving process within the team. What You’ll Bring Proven ability to build and execute  a regional strategy, with a record of delivering, accelerating, and expanding sales pipeline through regional marketing. Experience supporting both direct sales and channel sales teams, and in enterprise solution demand creation and regional marketing. Exemplary analytical skills and a proven aptitude for using data to optimize program performance and inform future strategies. Excellent communication skills, with a proven ability to convey ideas and data clearly in writing and in presentations to a variety of audiences, without a fear of over-communicating. You plan and operate transparently and share best practices with other regional marketers. A proven aptitude for building and driving a budget within your territory, and extreme attention to program details and deadlines. The capacity to empathize with CIOs, CTOs, VPs of engineering and platform, and the security leaders who govern how their teams ship software, and a passion for, and substantial understanding of, the developer tools, IT operations tools, and/or IT security markets. Ability to use GitLab, and you share our values and work in accordance with them. Ability to travel up to 50% and to comply with the company’s travel policy. About the team Regional Marketing at GitLab turns marketing strategy into regional action. We support our sales teams in AMER, EMEA, and APAC by running the events and campaigns that build pipeline in their territories, working with direct sellers, channel sellers, and alliance partners. We work closely with Product Marketing, Corporate Events, Digital Marketing, Marketing Operations, Developer Relations, Business Development, Customer Success Managers, and Solution Architects. Our goals are set through the Marketing OKRs and measured in pipeline contribution and regional budget. To see how the role fits in the team and where it can lead, read the Regional Marketing Manager job family and the Regional Marketing leadership page. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $139,200 — $235,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: London; Belgrade Workplace: Hybrid About the role Perplexity's fraud prevention team protects our products, users, and infrastructure from fraud and abuse across the whole lifecycle: sign-up, authentication, payments, API usage, and product features. We build and operate a real-time decisioning platform together with the surrounding systems: data pipelines for detection and model training, integrations with product and payment systems, and internal tooling for investigation and response. As a software engineer on the team, you will own services end to end, from design to production operations, and work closely with fraud analysts, ML engineers, and product teams to make abuse expensive and legitimate usage frictionless. Responsibilities - Design, build, and operate high-throughput, low-latency backend services for fraud detection and prevention - Build data pipelines and real-time feature computation that power detections and ML models - Collect and process trust signals - Integrate fraud decisions into product, auth, and payment flows across Perplexity - Own reliability of production services: observability, alerting, safe rollouts, incident response - Build internal tooling for investigation, enforcement, and auditability - Partner with fraud analysts to turn new abuse patterns into production detections quickly Qualifications - 5+ years building and operating high-throughput, latency-sensitive backend systems in production - Strong systems programming skills; Rust, Go, or C++ experience preferred (we write Rust) - Hands-on experience with Kubernetes, Terraform and cloud infrastructure - Solid data fundamentals: stream/batch computations, caching and storage trade-offs - Pragmatic, ownership-driven approach: ship incrementally, measure, and make failures degrade safely Nice to have - Fraud prevention, anti-abuse, or payments-risk domain experience - Experience serving ML models in production - Client-side experience (web or mobile) for signal collection

Location: Europe, Remote About Zencoder At Zencoder.ai , we build and orchestrate AI agents that ship real work - code, research, operations, and more. What started as developer tooling is becoming a platform where people and agents collaborate across knowledge work tasks. The Opportunity We’re looking for a hands-on Senior or Staff Security Engineer to lead and own security across the company. Part of the job is the work every company needs and too few do well: hardened cloud infrastructure, least-privilege access, secure delivery, vulnerability management, penetration testing, and incident response. The threats in this space are increasing exponentially. The other part is an evolving domain with no playbook. Our product runs agents that read untrusted content, execute code, and hold credentials. Attackers now use AI to probe and fuzz faster than before. Prompt injection, data exfiltration through allowed channels, cross-session access, and insecure agent-written code reaching production are real risks for us today, not research topics. We want someone who will help us close the obvious gaps without being asked, and finds the problems nobody has written down yet. You'll work closely with our ITOps, platform and product engineers. Teams own their services and platform owns the monorepo pipeline. Your job is to improve our security posture without slowing delivery: build automated controls into existing workflows rather than rely on slow, blocking manual AppSec reviews. You'll test whether those controls hold, address critical risks, and take responsibility for security outcomes, not just recommendations. Key Responsibilities This is a hands-on role - you'll be in the code, infra, and pipelines yourself. Set security priorities and drive fixes through to verified completion; Find application vulnerabilities through code review, penetration testing and agent-specific red-team exercises; Work with ITOps, platform and product engineers to harden infrastructure and build security into delivery pipelines; Build detection for user and agent activity, and lead incident response. Essential Qualifications Strong application security background - you can spot exploitable flaws, and explain the fix; Hands-on penetration testing and offensive security experience across web applications, APIs, and cloud infrastructure; Solid infrastructure and cloud security fundamentals: IAM, network segmentation, containers and isolation, secrets management, logging; Experience building detections and running incident response, not only reviewing them; Real fluency with AI coding agents and LLM-based systems - how they work, where they fail, and how they can be manipulated; Enough software engineering skill to build your own tooling, automation, and test harnesses; Sound judgment under pressure: you can weigh a risk against a release, decide, and explain the decision to engineers and founders. Nice to Have Experience securing sandboxed or multi-tenant code execution environments; Red-team, bug bounty, or CTF track record; Experience with security programs and compliance frameworks (ISO 27001, SOC 2) in a small company. Why Join Zencoder? Impact AI is reshaping how work gets done, and you'll be at the forefront of that shift, building a product that enables teams to get more done with AI. We use our own products every day, so you'll see how your work lands right away. AI-First We use AI to expand what one person can accomplish. You'll constantly rethink how you work: what to hand over to AI, and where your own judgment matters most. Ownership We keep the team small and give people real scope, autonomy, and equity. You'll take initiative, make decisions, and see your work through to real outcomes, raising the bar with every iteration. High Talent Density A small team of highly capable people moves faster and builds better. You'll work directly with senior teammates and our founder, Andrew Filev, in a flat structure where ideas win on merit, not titles. Remote-First We hire globally, prioritizing talent over location, so you can work where you're most productive. Prefer in-person? We have a hub in Barcelona with weekly co-working. Zencoder is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: India Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. About the Role We're hiring Senior and Staff SDETs to embed across our product teams and raise the bar for quality engineering at Galaxy. You'll work on systems that move real value — crypto and fiat  across institutional-grade platforms. The problems are complex, the stakes are high, and the teams are small enough that your work will have outsized impact. This isn't a "write tests and throw them over the wall" role. You'll shape how your team thinks about quality — designing automation strategies, influencing architecture for testability, and driving reliability across the stack. Depending on your strengths and interests, you'll be placed on one of our product teams: Lending, Trading, Operations, Custody, Settlement, Staking, Derivatives, or Retail (mobile apps on Android and iOS). We're looking for excellent engineers first — we'll find the right seat together. What You'll Do Design, build, and maintain test automation frameworks and suites for APIs, backend services, web and mobile UI (Android/iOS), and blockchain-integrated components. Define and drive the quality strategy for your product team — test planning, coverage analysis, risk assessment, and release readiness. Partner closely with developers, DevOps, and product managers to shift quality left and influence system design for testability. Analyze test results, production incidents, and system behavior to identify patterns and drive systemic improvements. Build and maintain CI/CD-integrated test pipelines that give teams fast, reliable feedback. Leverage AI-assisted development tools to accelerate test creation, code analysis, and automation workflows. Contribute to performance testing, security validation, and observability practices. Mentor other engineers on testing practices, code quality, and automation design. Additionally at Staff level: Set technical direction for quality engineering across multiple teams or domains. Drive cross-team alignment on testing standards, frameworks, and tooling. Identify high-impact quality problems before they're obvious and build consensus around solutions. Act as a trusted technical advisor to engineering leadership. What You Bring Required 8+ years of experience in quality engineering or software development in test, with meaningful ownership of automation strategy and execution. Strong programming skills in Python (primary) or similar (JavaScript, Java, Go). Proven experience designing and maintaining automation frameworks (e.g., Pytest, Robot Framework, Selenium, Playwright, Postman/Newman). Deep understanding of API testing, microservices architectures, and distributed systems. Experience with Git, GitHub workflows, CI/CD tools (GitHub Actions, Jenkins, CircleCI), and issue tracking (JIRA). Strong debugging and analytical skills — comfortable with logs, metrics, and traces (Datadog, Grafana, Prometheus). Experience working in Agile environments with close collaboration across engineering and product. Clear, proactive communication — you surface risks, share context, and keep people aligned. Experience using AI-assisted development tools (e.g., LLM-based coding assistants) to accelerate engineering work, with an eagerness to push those practices further. Preferred Experience in financial services, fintech, or digital assets / crypto. Familiarity with blockchain APIs, wallets, smart contracts, or on-chain data. Experience with Web3 testing tools (Hardhat, Brownie, Foundry). Familiarity with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure). Knowledge of contract testing (Pact), test data management, or service virtualization. Performance or security testing experience (Locust, k6, OWASP). Track record of mentoring engineers and raising team capabilities. Experience building, testing, or working with AI agents and agentic workflows. Why Galaxy Work across institutional crypto infrastructure — trading, lending, custody, staking, derivatives, and more. An AI-forward engineering culture — we invest in tools and practices that multiply what engineers can do. Small teams, real ownership, and direct impact on systems that matter. A culture that values engineering excellence, trust, and accountability. Competitive compensation, equity, and comprehensive benefits. Mumbai office with flexibility for remote work within India. What We Offer : Competitive base salary and discretionary bonus Company-paid health and protective benefits for employees and their eligible dependents Free virtual coaching and counseling sessions Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Apply now and join us on our mission to engineer a new economic paradigm. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Lovable is looking for a Staff Forward Deployed Engineer to build production customer solutions and improve the core platform.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Staff Software Engineer to join the Business Systems team. In this role, you will play a crucial role in architecting, developing, and optimizing the backend infrastructure and user experiences that underpin WHOOP’s internal operations, enabling scale and efficiency across the organization. You’ll design, build and evolve critical services and integrations that support Supply & Demand Planning, Inventory Management, Order Management, Fulfillment & Logistics, Membership Services, and other business functions. This role is designed for a visionary backend engineer who is passionate about building scalable, reliable, and flexible systems, eager to tackle high-impact challenges, and committed to delivering user-centric solutions that pave the way for our growth. RESPONSIBILITIES: - Set technical direction for critical domains within the Business Systems team, establishing an architecture and roadmap that balances immediate business priorities with long-term reliability, flexibility, and scale. - Architect, develop, and maintain backend services, APIs, integrations, and internal tools that connect business platforms, reduce manual work, and improve the accuracy and flow of data across systems. - Design and implement well-loved user experiences to interact with backend systems. - Partner with stakeholders across all of the teams mentioned above to understand critical workflows, identify opportunities for needle-moving improvement, and translate them into technical solutions. - Lead engineering efforts for complex technical initiatives from discovery through production rollout, coordinating dependencies across teams and vendors and measuring outcomes through operational efficiency, reliability, and user adoption. - Strengthen the security and resilience of business-critical systems through automated testing, observability, appropriate access controls, and improvements informed by production incidents. - Mentor engineers and elevate technical decision-making through hands-on development, thoughtful design and code reviews, and clear documentation that builds shared understanding and ownership. - Independently drive your agenda forward; this is a highly cross-functional role that needs broad trust and alignment in order to thrive. You must be skilled in driving this independently while also being able to move quickly. QUALIFICATIONS: - BS in Computer Science, Engineering, or equivalent experience. - 8+ years of professional backend software engineering experience. - Experience delivering and operating production software for complex business workflows, with demonstrated technical leadership across multiple systems or teams. - Ability to evaluate architectural tradeoffs across custom software and third-party platforms, considering business value, security, reliability, and ongoing maintenance. - Deep expertise in designing APIs, working with relational databases, and integrating enterprise applications or cloud services, including managing data consistency, retries, and failure recovery. - Strong software engineering fundamentals and proficiency in at least one modern backend programming language (e.g., Java, Python, Go, or similar)., with a track record of writing maintainable, well-tested code. - Demonstrated ability to interface with multiple product domains, particularly in developing backend solutions for resilient, high-throughput data processing networks, task automation, and streamlined workflows to optimize business operations - Deep experience with cloud-based infrastructure (e.g., AWS, GCP, or Azure) and distributed systems. - A strategic problem-solver with the ability to turn ambiguous business needs into practical technical plans and communicate decisions clearly to both technical and nontechnical stakeholders. - A proactive, collaborative team player, eager to take on new challenges, continuously learn, and adapt in a fast-paced, data-informed environment - Experience mentoring engineers and influencing cross-functional partners through collaboration, sound technical judgment, and a focus on shared outcomes. - 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. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   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 eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

— 6+ лет в продуктовом дизайне сложных рабочих интерфейсов (EHR, CRM, admin panels). — Опыт проектирования human-AI interaction.

Location: San Francisco Perplexity is seeking energetic researchers and engineers to join our Secure Intelligence Institute (SII), Perplexity's flagship research center for advancing security, privacy, and trust in frontier intelligence. SII’s goals are to advance frontier AI security research, translate those advances into concrete improvements in Perplexity's systems, and share knowledge and resources that strengthen the broader AI ecosystem. As a member of SII, you'll conduct original and impactful research on improving the security and privacy of frontier intelligence systems. Your goal will be to conduct research that is not only rigorous in theory, but practical enough to improve the systems people rely on every day. This work will be informed by the realities of operating general-purpose AI systems used by millions of people and thousands of enterprises, and you'll be expected to translate both your own research and advances from the broader community to practical improvements that protect and defend Perplexity's users. RESPONSIBILITIES - Develop threat models for emerging attack surfaces in AI-native products, including browser, search, and autonomous agents. - Identify and analyze security and privacy threats across AI systems, infrastructure, and user-facing products. - Develop novel defenses, mitigations, and detection mechanisms for security and privacy in AI-native products. - Build security evaluation frameworks, benchmarks, and datasets to measure the effectiveness of different defense mechanisms. - Partner with Perplexity’s Security Engineering team to translate state of the art research into shipped security features and hardened system architectures. - Collaborate with top-tier academic and industry researchers in SII's external research network. - Publish findings at premier venues and contribute to the broader security research community. QUALIFICATIONS - Hold a PhD (or equivalent research experience) in Computer Science, Computer Engineering, or a related field, with a primary focus on security and/or privacy. - Experience publishing at top security conferences (IEEE S&P, USENIX Security, ACM CCS, NDSS) demonstrating original, impactful research contributions. - Deep expertise in one or more of: security of agentic systems, systems security, web and applications security, program analysis, and software security. - Proficiency in Python (bonus points for TypeScript, Go, and/or Rust). - Ability to operate with high independence, willing to dive in and take ownership, and comfortable in a fast-paced environment where research directly informs product. - Clear and concise communcation, translating complex attack narratives into actionable insights for engineering and leadership.

Location: San Francisco Perplexity is seeking software engineers to join our Training Infrastructure team. We’re responsible for the large-scale RL and agent evaluation platforms that enable Perplexity to train state-of-the-art models and optimize agent harnesses. We are full-stack engineers with a broad remit. If you join us, you’ll build the distributed systems that orchestrate AI workloads across global-scale compute infrastructure. You’ll also define novel user and agent interfaces for designing, managing, and launching experiments. You’ll create tools that make experiment results legible to humans and agents alike, enabling everything from ad-hoc experiment retrospectives to closed-loop autoresearch. And much more! A strong candidate will possess both experience and passion for solving difficult problems at the intersection of AI, distributed systems, and research acceleration. QUALIFICATIONS - 2+ years of experience developing and shipping distributed systems for compute-intensive workloads, with a focus on reliability, scalability, and performance. - Proficiency in a general-purpose backend language such as Python, Rust, C++, or Go, and experience with cloud infrastructure and container orchestration, such as AWS and Kubernetes. - Familiarity with reinforcement learning (RL), agent evaluation, or ML infrastructure, and an interest in building systems that accelerate experimentation and model development. - BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience. 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.

Location: San Francisco; Seattle; New York City; Toronto PERPLEXITY API PLATFORM Perplexity innovates at the frontier of AI infrastructure, search, and orchestration to serve the world's most discerning users. The Perplexity API Platform brings our technology to the world's most discerning developers. From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry. We believe these same building blocks can and should power the aspirations of builders everywhere. It's one thing to solve planet-scale retrieval, long-horizon orchestration, and other foundational AI challenges within a single product ecosystem. The true measure of success is to turn those solutions into elegant APIs that delight developers and agents alike. Our API Platform delivers frontier intelligence to thousands of customers: startups, trillion-dollar enterprises, U.S. and allied governments, and everyone in between. We've achieved incredible scale, yet we're just getting started. Join us to build tools for curious minds. ABOUT THIS ROLE Perplexity is seeking strong engineers with a passion for delivering frontier intelligence and infrastructure to developers. Our company builds technology that reshapes how people search, reason, and interact with the world around them. Week after week, we observe increasing demand for programmatic interfaces to that technology. The API Platform engineering team is charged with designing, implementing, and scaling these interfaces. As a member of our team, you'll work on an eclectic portfolio spanning distributed systems, performance optimization, agent orchestration, and frontier topics that often change with each passing month. Throughout this work, you'll prioritize great developer and agent experience alike. You'll also define technical strategy for how we scale to meet compounding growth exponentials (number of customers, agents per customer, compute/retrieval per agent, etc.). KEY RESPONSIBILITIES - Design, build, and operate mission-critical APIs that provide our customers the building blocks for frontier intelligence. - Own and evolve the API gateway and routing layer: authentication, authorization, rate limiting and quotas, usage metering, and request routing across heterogeneous upstream services. - Build the paved road for API services: standardized service scaffolding, container builds, CI/CD, Kubernetes and Helm deployment, and progressive rollouts with fast rollback, so a new API product goes from idea to production in days, not weeks. - Build API governance into the platform: contract-first schemas, breaking-change detection in CI, versioning and deprecation workflows, and SDKs and documentation generated from a single source of truth. - Unify cross-cutting capabilities (billing and usage, rate limiting, organization and identity settings, analytics and observability) so every API product gets them by default instead of rebuilding them. - Ensure low latency and high throughput through aggressive performance optimization (including on upstream systems). - Harden system security and reliability across heterogeneous compute environments, and operate what you build: SLOs, on-call, and incident response. - Collaborate across teams to bring novel frontier capabilities into the API Platform, and partner with infrastructure teams on compute, networking, secrets, and security. - Continually reimagine the customer needs of tomorrow (and the architectures to serve those needs), while faithfully serving the customer workloads of today. - Uphold engineering excellence through design reviews, code quality, and internal documentation. QUALIFICATIONS - 5+ years of backend engineering experience with Python, Go, or Rust, including significant time building platforms or infrastructure used by other engineering teams. - Strong understanding of high-traffic API design: schema evolution & versioning, idempotency, authentication patterns, rate limiting, and performance tuning. - Hands-on experience building and operating API gateways, reverse proxies, or routing layers: authentication and authorization, rate limiting and quotas, request routing, traffic shaping, and per-request observability. - Experience building API governance tooling: contract-first API design, breaking-change detection and API linting in CI, versioning and deprecation workflows, and SDKs and documentation generated from the contract. - Platform depth across the build and deploy path: you have owned CI/CD pipelines, container builds and base images, infrastructure as code, and progressive delivery (canary or blue-green) on a major cloud. - A track record of owning a platform end to end: identifying the need, designing it, aligning the teams that depend on it, shipping it, and operating it, while raising the engineering bar for the teams building on it. - Strong customer empathy and product sense, ensuring the APIs you build are ergonomic, well-documented, and easy to adopt for developers and agents alike. Strong plus: - Experience with modern AI APIs (including latency tuning, streaming, model orchestration, emerging technical standards). - Usage-based billing and metering systems, multi-tenant organization and identity models, and usage analytics pipelines. - Observability for API platforms: structured logging pipelines, metrics, tracing, and SLO tooling.

Location: San Francisco; New York City ABOUT THE ROLE The AI Acceleration team’s mission is to make Perplexity the best place to build and ship software with AI agents. We build the infrastructure that engineers and agents rely on, and develop new ways for agents to write, test, review, and ship code. Our work helps teams move from an idea to production faster, without compromising quality or reliability. We own the end-to-end development experience at Perplexity, from the environment where code is written to the systems that ship it to production. That includes local and cloud coding environments, build and test infrastructure, code review, and release management. We’re also building autonomous software development systems, where agents take on increasingly complex engineering work with explicit evaluation, verification, and safety controls. We own both the infrastructure these systems depend on and the workflows that make them useful. As an AI Acceleration Engineer, you’ll turn emerging agent capabilities into dependable systems used across Perplexity. You’ll work directly with engineers to understand where development slows down, experiment with new approaches, and take promising ideas through to production. This role combines systems engineering, developer experience, and hands-on agent development, with a direct measure of success: helping teams spend less time on delivery overhead and more time building products. RESPONSIBILITIES - Identify, prioritize, and deliver the highest-impact opportunities to accelerate how Perplexity builds and ships software with AI. - Work directly with engineering and business teams to understand their workflows, constraints, and bottlenecks, and build solutions that address how they actually work. - Build and operate the infrastructure that engineers and agents depend on, including development environments, build and test systems, code review, and release tooling. - Make our codebases, systems, and internal knowledge easier for agents to navigate, understand, and use through better tooling, interfaces, documentation, and context. - Take agent-driven workflows from prototype to production, building the evaluations, verification, and controls needed to delegate increasingly complex engineering work safely. - Improve delivery speed and software quality together. Measure the impact of your work on development time, review effort, and production reliability, and use those results to guide what comes next. - Evaluate emerging models, tools, and approaches through hands-on experimentation. Turn the evidence into clear technical decisions, and drive adoption of the technologies that prove useful. - Use AI extensively in your own engineering work, share what works, and help colleagues adopt effective practices. Partner with engineering leadership and recruiting to strengthen how we hire and develop engineers who work effectively with AI. QUALIFICATIONS - 5+ years of software engineering experience, ideally with substantial work in infrastructure, platform engineering, or developer productivity in technically complex environments. - Daily, hands-on use of AI models and coding tools, with practical judgment about where they perform well, where they fail, and how to verify their output. - Strong proficiency in one of the languages – Python, Go or Rust, along with the willingness to learn other languages as the work requires. - Broad familiarity with the systems used by AI product and applied research teams, including cloud infrastructure, distributed systems, data pipelines, and ML tooling. You don’t need deep expertise in every layer, but you should understand how they fit together. - An ability to understand how engineers and researchers across disciplines work, paired with curiosity about the needs of business and operations teams. You build tools around users’ actual workflows and constraints. - A drive to make codebases, systems, and processes easier to understand, operate, and change. You look for ways to replace brittle workflows and implicit knowledge with clear interfaces and reliable automation. - Sound technical judgment about when to experiment, when to commit, and when to ship a pragmatic solution. You can balance immediate delivery with investments that make future work faster and more reliable.

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 Render is looking for a Staff Developer Relations Engineer to grow usage and word of mouth for Render among developers building full-stack and AI applications. You'll be Render's technical face on stage, in workshops, at meetups, and in the developer and AI ecosystems where our users build. DX at Render has two halves. DX Engineering builds and maintains Render's tutorials, sample apps, templates, and video library. DevRel takes Render to developers in person and through the communities and partners they trust, then brings what it hears back into the product. You'll set the technical bar and direction for DevRel, and you'll be the person developers and partners go to for a deep, candid answer about running AI workloads on Render. You'll build the demos and workshop material behind your own talks. When something you build deserves a long life, DX Engineering turns it into a maintained example or template. This is a remote role within the US, with the option to work out of our headquarters in San Francisco. Expect regular travel for conferences and events. WHAT YOU'LL DO - Represent Render at conferences, meetups, hackathons, podcasts, and livestreams, with talks and live demos on building and running AI agents and full-stack apps. - Design and run hands-on workshops and hackathons, from the curriculum to the technical setup behind them. - Set DevRel's technical direction: pick the communities, ecosystems, and events worth investing in, and define what good looks like for talks, workshops, and demos. - Be the technical counterpart for ecosystem partners such as AI frameworks, agent tooling, and open source projects: joint workshops, co-hosted events, and the integrations worth building together. - Go deep in technical communities on GitHub, X, Discord, Reddit, and Hacker News. Answer hard questions, debug real deployments, and show up where Render has a credible voice. - Run the developer feedback loop. Turn what you hear in the field into clear, prioritized input for Product and Engineering, and follow it through until it ships. - Help Render's highest-potential developers and startups go further on the platform through technical deep dives and architecture reviews, and turn them into champions who talk about Render in their own communities. - Raise the bar for the DevRel team through talk reviews, demo reviews, and your own work. - Track impact through activation from events and workshops, community engagement, partner-driven adoption, and the product changes you drove. WHAT WE'RE LOOKING FOR - 8+ years in developer relations, solutions engineering, or software engineering, including at least 3 years in a developer-facing role at a developer tools, cloud, or infrastructure company. - A track record on stage: talks at recognized developer conferences, and workshops you designed and ran yourself. - Experience setting direction for a developer relations program: choosing where to invest, measuring what worked, and changing course. - Hands-on fluency with AI agents: tool calling, MCP servers, LLM APIs, and agent frameworks. You can build a working agent app live and explain what it needs to run in production, such as long-running tasks, sandboxed code execution, and retries. The field is young, so we look at what you've done recently. We don't expect years of experience in it. - The engineering depth to be credible with senior engineers. You can deploy a multi-service app, read logs, trace a failed deploy, and find the root cause in front of an audience. - Working knowledge of cloud infrastructure: containers and Docker, networking basics, CI/CD, environment configuration, and infrastructure as code. - You use coding agents like Claude Code, Codex, or Cursor every day and keep up with the agent ecosystem as it changes. - Examples of developer feedback you turned into product changes: what you heard, the case you made, and what shipped. - Excellent spoken and written communication. You can hold a room of engineers and explain a complex system clearly. NICE-TO-HAVES - Existing relationships in AI framework, agent tooling, or open source communities. - An existing developer audience through talks, livestreams, a newsletter, or social. - Experience starting or growing in-person developer meetups. - Experience with durable workflows, background job systems, or sandboxed code execution. - You've used Render before, professionally or on side projects. PROJECTS YOU MIGHT WORK ON - A workshop on deploying production agents with Render Workflows, run at a major AI conference and then at our own meetups. - A hackathon co-hosted with an AI framework partner, including the starter kit and the technical support on the day. - The talk track for an upcoming launch, delivered by you and the rest of DevRel. - A recurring field report for Product on where developers get stuck running agents on Render. 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: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you'd like. Reddit is a network of thousands of communities where over 100 million daily active users dive into their interests, hobbies, and passions. Core to scaling our ads, and consumer experiences is high-quality, continuous data annotation. Our Operations ecosystem is expanding its central labeling engine to power models, taxonomies, and product experiments across both our Ads and Consumer Product organizations. We are seeking a Staff Operations Program Manager (IC5) to serve as the strategic architect and operations lead for Reddit’s central data labeling function. In this high-visibility, 0-to-1 role, you will engage directly with product and technical teams across the company at all levels, to determine requirements and how best to execute these via our centralised function. You will excel at translating complex, unstructured product needs into clear, scalable labeling directives that can be seamlessly executed by vendor teams and you will partner with our vendor partners to scale and optimize our delivery model.  In parallel, you will partner with cross functional leaders to define the future of automated, LLM-based labeling - positioning Reddit to leverage best in class technology and operations efficiencies. Responsibilities: Strategic Intake & Expectation Management: Strategic Intake & Expectation Management: Own and scale the incoming request process across Consumer and Ads. Ensure delivery frameworks are robust and reliable, and that all initiatives are prioritised appropriately, based on agreed criteria and business impact. 0-to-1 Operations & LLM Scaling: Take full ownership of shaping how the central labeling function grows; design and execute the operational roadmap to integrate LLM-assisted labeling workflows to augment human vendors and multiply throughput. Taxonomy & Experimentation Architecture: Standardize taxonomy definition guidelines and operationalize complex, multi-quarter labeling projects supporting Consumer Org product experiments and Ads Org safety systems. Cross-Functional Alignment: Partner directly with Product Managers, Data Scientists, and Ops Leaders across orgs to align labeling capabilities with broader business objectives, translating high-level concepts into executable human and machine tasks. Guideline & Operational Calibration: Partner with our dedicated Vendor Manager to hand off clear task guidelines, resolve complex edge cases, and establish feedback loops that ensure task performance aligns with product expectations. Framework Development: Build, document, and standardize centralized request intake models, SLA frameworks, quality assurance practices, and throughput metrics across all labeling domains. Required Qualifications: 7+ years of experience in data operations, program management, or vendor operations with a heavy focus on data labeling, model training data, or taxonomy infrastructure. Stakeholder Management & Leadership: Proven ability to align Product and Engineering leadership, skilled at setting firm boundaries, and enforcing structured prioritization. Translation & Taxonomy Mastery: Exceptional ability to translate vague product requirements into detailed, unambiguous labeling instructions, edge-case trees, and taxonomy classification schemas. LLM & Automation Integration: Experience leveraging LLMs, synthetic data generation, or automated tooling to augment traditional vendor annotation workflows and scale operational capacity. Operational Collaboration: Demonstrated ability to partner effectively with internal Vendor Operations/Managers to translate project requirements into executable guidelines and handle task-level escalations. Preferred Qualifications: Experience navigating cross-functional dynamics across both Ads/Monetization and Consumer-facing product organizations. Strong proficiency in SQL and data manipulation to independently analyze vendor quality metrics, pipeline throughput, and project completion SLAs. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-SP1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $180,200 — $252,300 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: United States, Aliso Viejo, 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 (Linux Kernel) Aliso Viejo, CA Role Overview Sony Interactive Entertainment LLC seeks a Staff Software Engineer (Linux Kernel) in Aliso Viejo, CA to develop new Linux kernel drivers and features for servers and embedded hardware. Requirements Master’s degree in Computer Engineering, Computer Science, or related field or equivalent, and two (2) years of experience leading platform-enabling efforts for processors using Linux Kernel; upstreaming code contributions to Linux kernel systems; programming Client Integrated GPUs, Discrete GPUs, and Datacenter GPUs using C/C++, Rust, Python, and source code management tools including Git; developing low-level Linux kernel systems; analyzing technical problems, debugging, and troubleshooting computer systems; developing device drivers and software for servers and embedded systems; developing and utilizing hardware and software architectures for AI and machine learning systems; performing advanced debugging techniques including tracing using performance tools including EBPF; connecting high speed components by employing PCI Express standards and advanced PCIE protocol analyzer and oscilloscopes tools; and in the execution of duties, utilizing C, C++ and Linux Kernel. 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. $242,349.00 – $297,400.00/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 (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.

Responsibilities: — Define the technical vision, architecture, and standards across backend systems — Ensure system reliability, scalability, and performance at global consumer scale — Make high-quality architectural decisions across distributed systems, APIs, and data infrastructure — Improve system performance, latency, and fault tolerance — Foster a culture of ownership, accountability, and engineering excellence — Support domain-based team structures (e.g. pricing, matching, supply engagement) Requirements: — 10+ years of experience in software engineering, with strong backend expertise — Proven track record of designing and operating large-scale distributed systems — Deep understanding of backend architecture, infrastructure, and platform concerns — High technical judgment and attention to detail — Experience in consumer-scale products or marketplaces — Background in performance-critical systems (low latency, high availability) Benefits: — Office-based role in Nicosia, four days a week with flexible start and finish times, plus one remote day of your choice — Competitive salary — Employee stock options plan — Private medical and dental insurance — Daily Lunch allowance — Latest-generation MacBook Pro and 4k display — Professional development stipend — Relocation support, including visa sponsorship and allowance