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Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We are seeking a Sr. AI Security Engineer to join our team! About The Role Backblaze is seeking a Senior AI Security Engineer to design and implement safeguards for internal AI usage , with a focus on agentic systems, developer protection, and runtime security . This is a hands-on role for a practitioner who has built and deployed security controls , not just defined policy. You will enable teams to safely use AI by creating enforcement layers, identity controls, and detection capabilities that constrain and monitor AI-driven activity. What You’ll Do: Agentic AI Safeguards Architect and implement guardrails for tool-using AI systems , including: Tool access controls and allowlists Context and memory isolation Step-level validation of agent actions Apply mitigations aligned to the OWASP Agentic AI Top 10 (e.g., prompt injection, unsafe tool use, data leakage, excessive autonomy) Runtime Security Controls Build enforcement mechanisms that govern AI behavior at execution time: Interceptors, proxies, or middleware for tool/API calls Policy decision and enforcement layers Rate limits, execution bounds, and kill-switches Prevent unsafe or unauthorized actions initiated by AI systems Non-Human Identity (NHI) Design and implement identity and access controls for agents and automation , including: Short-lived credentials and scoped permissions Clear separation between human and non-human access Strong binding of identity to task context and execution Ensure all AI actions are attributable and auditable Observability & Detection Implement logging and tracing for AI activity : Prompts, tool usage, and decision flows Build detection capabilities using: Behavioral baselining and anomaly detection techniques Identify and alert on: Abnormal tool usage Suspicious prompt patterns Unexpected data access Threat Modeling (MAESTRO) Perform agentic system threat modeling using MAESTRO , including: Mapping agent capabilities, trust boundaries, and attack paths Modeling misuse and adversarial scenarios Translate findings into practical safeguards and detection logic Developer Safeguards Protect developers using AI tools by: Preventing sensitive data exposure Validating AI-generated code and actions Constraining unsafe automation Enable safe usage of AI-assisted development tools (e.g., Claude Code, Codex, Cursor ) with: Security validation layers Controlled prompting and output handling patterns The Right Fit: 7+ years in security engineering or backend systems Proven experience designing and deploying security controls , such as: Runtime enforcement layers (proxies, middleware, policy engines) Identity and access systems, especially for non-human entities Strong programming skills (Python preferred; Go, Java, or TypeScript a plus) Experience using AI-assisted development tools such as Claude Code in real workflows, including understanding associated security risks and safeguards Experience with: Logging, monitoring, and detection systems Building or securing API/service interactions Practical familiarity with: Agentic AI systems or tool-integrated LLM workflows OWASP guidance for AI/agent risks Practitioner Knowledge Experience applying (not just referencing): OWASP Agentic AI / LLM risk guidance NIST AI RMF concepts in real systems CSA guidance on workload and machine identity Strong understanding of: Zero Trust for non-human identities Secrets management and credential scoping Observability tooling (e.g., OpenTelemetry, ELK) Bonus Points For: Experience securing internal AI platforms or developer-facing AI tools Background in detection engineering, threat hunting, or adversarial testing Familiarity with agent frameworks (e.g., LangChain, LlamaIndex) Experience mentoring engineers and guiding secure design At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice. #LATAM

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker is shipping a wave of new products this year, with R&D initiatives likely to lead to more, and we're investing heavily in the platform underneath all of it. That platform supports hundreds of engineers across many development teams and carries high-scale production traffic and data transfer every day. It has grown faster than its foundations, and this year is about closing that gap. Today, much of that work still leans on a handful of experts unblocking the same provisioning and operational workflows by hand. The top priority for this role is moving that work from expert-driven support to paved roads: self-service systems with clear ownership, safe defaults, strong guardrails, and adoption we can measure. The goal is a platform teams trust enough to stop thinking about it, one that just works, so they can focus on their own products instead of ours. The concrete version sits on this year's roadmap: spinning up a new global region or application environment should take hours, not days. Right now it takes days. Getting there means building the foundations underneath it. We need a real multi-region, cross-account network architecture and a testing and continuous-deployment flow teams can trust, then a self-service layer on top. We're the container company building our own internal platform, so the bar for "the easy path is also the safe path" is high. You'd be joining a team of four, growing to seven this year (this is one of those hires), and we're looking for a Staff engineer to set technical direction and lead it through real production adoption. _______________________________________________________________________ RESPONSIBILITIES This is a Staff-level role, so success is measured by leverage rather than just your own commits. On a team this size you'll stay hands-on in the codebase while also setting direction, aligning teams on pragmatic standards, and carrying platform investments through to adoption. Concretely, you will: - Take ambiguous infrastructure problems and turn them into proposals the org can rally around, then drive them through RFCs and architecture reviews across teams. - Design self-service capabilities and platform APIs (primarily in Go) for onboarding, provisioning, deployment, observability defaults, and day-2 operations, with contracts and docs teams actually use. - Set delivery standards using Terraform, GitOps with Argo CD, progressive rollout, and good testing, including building the continuous-deployment flow we're missing today. - Evolve the multi-tenant EKS foundations toward better reliability, security, scale, and cost: Envoy Gateway ingress, traffic routing, and the multi-region, cross-account connectivity we need. - Improve SLOs, alerting, and incident follow-up on Grafana Cloud so production gets safer and less dependent on heroics. We judge this work by outcomes the consuming teams feel: how fast they can provision and ship, how much they can do without us, and how reliably it all runs. AI-ASSISTED OPERATIONS We're actively investing in AI-assisted and agentic workflows to cut operational toil. We care that they stay safe, auditable, and human-reviewed. You'll help shape where these earn their place and where they don't. Early targets include: - Alert enrichment and incident context-gathering: assembling the relevant signals, history, and runbook so the on-call engineer starts with context instead of a blank page. - Runbook-assisted diagnosis and remediation recommendations, with a human in the loop on anything that changes production. - Onboarding and readiness assistants that answer the questions our experts answer today. If you've built operational automation and have a healthy skepticism about where automation belongs, this is a place to put both to work. ON-CALL Operational ownership is part of the job. You'll join the rotation after onboarding and shadowing. As a Staff engineer, you'll also improve the health of on-call itself, with better alerts, stronger runbooks, less toil, and blameless postmortems aimed at prevention. _______________________________________________________________________ QUALIFICATIONS - 8+ years of professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineering. - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience - Strong software engineering in Go or a similar language: design, testing, debugging, review, long-term maintainability. - A track record designing, shipping, and operating cloud services or infrastructure platforms in production. We hire for skill and impact, not years. - Deep expertise in at least one of: Kubernetes, networking, cloud platforms, reliability engineering, or developer platforms, plus solid Linux, networking, and production-ops fundamentals. - Experience setting technical direction and leading work that needs cross-team alignment. - Clear written and verbal communication in a remote environment (RFCs, design docs, incident writeups). Nice to have: EKS and ingress/CNI/service-mesh experience; observability with OpenTelemetry/Prometheus/Grafana; CI/CD and progressive delivery (GitHub Actions, Argo CD, canaries); experience leading migrations or adoption programs across teams. You don't need every item here. We value deep expertise in one area, strong systems judgment, and curiosity across the rest. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Build context, meet partner teams, ship your first change, shadow on-call. FIRST 90 DAYS - Own a strategic platform problem with a clear plan and metrics; lead an improvement from design to production. ONE YEAR OUTLOOK - Lead a major cross-team initiative (for example, self-service provisioning of new regions and environments, or the multi-region networking and CD foundations behind it) and establish durable patterns that change how Docker engineers build and operate services. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$238,250 – CA$382,250 base United States: $170,350 – $275,550 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Serbia; Georgia; United Arab Emirates; Portugal; Kazakhstan Emerging Travel Group is a global travel-tech company whose brands have been operating in over 220 source markets since 2010. We specialize in developing advanced online booking platforms for all types of clients — from individual tourists to travel agents and companies organizing business trips. Our solutions empower hoteliers to effortlessly showcase their accommodations, boosting visibility and attracting a broader audience. Our mission is to create, distribute, and operate the most convenient travel products. We constantly innovate and break the rules of the highly complex travel industry to make travel more widely available for individuals, more rewarding for professionals, and simpler for everyone. We are looking for a Strategic Revenue Manager to become a key connector between commercial, finance, and operational teams. Your mission: analyze revenue and profitability performance, identify gaps, initiate and drive corrective actions, and ensure that revenue growth translates into sustainable margin improvement. This is not an administrative or supporting role – your impact will be measured by real business improvements in profitability, operational discipline and execution. This is a remote position. Job Responsibilities Revenue Performance Management Own the Plan-Fact review cycle across regions and commercial teams. Identify revenue, margin, and profitability deviations and drive root-cause diagnostics. Engage directly with Cluster Managers and Regional Directors to understand the business context behind performance deviations - not just the numbers. Build corrective action plans collaboratively with commercial stakeholders, balancing quantitative analysis with operational realities and market-specific insights. Facilitate cross-functional discussions to align stakeholders around priorities, solutions, and execution plans. Drive execution follow-through and maintain accountability across teams until measurable business outcomes are achieved. Escalate blockers and maintain decision-making momentum. Cost of Sales and Profitability Optimization Monitor Cost of Sales drivers and profitability performance across regions and partners. Build visibility frameworks and actionable profitability reporting. Lead cross-functional initiatives focused on margin improvement and operational efficiency. Support optimization of partner economics, payment conditions, and commercial profitability. Governance and Strategic Support Establish scalable governance processes for revenue and margin management. Support budgeting, forecasting, marketing investment cases, and strategic commercial initiatives. Partner closely with Revenue leadership, FP&A, Marketing, Analytics, and Commercial teams. Requirements Fluent English. 3–6+ years of experience in roles combining commercial exposure, analytical rigor, and operational ownership. Experience working directly with senior commercial stakeholders and influencing business decisions without formal authority. Background in Revenue Operations, Commercial Finance, FP&A, Business Performance, Strategy & Operations, or Consulting with P&L exposure. Strong understanding of profitability and performance metrics, including Gross Margin, Contribution Margin, CoS, CAC, LTV, and P&L logic. Proven ability to build governance processes and operational frameworks in complex cross-functional environments. Advanced Excel skills and comfort working with BI tools and data teams. Benefits Fully remote work within European time zones; flexible working schedule. Direct exposure to senior commercial leadership and strategic business decisions. A role with real business impact - not a support function. High ownership and visibility across the organization. Ambitious and supportive team who love what they do, appreciate each other, and grow together. Internal programs for adaptation and training, development of soft skills, and leadership abilities. Partial compensation for participating in external training and conferences. Corporate prices on hotels and travel services. MyTime Day Off - an extra non-working day without loss of compensation. Learn more about our data protection practices in our Privacy Policy: https://emergingtravel.notion.site/recruitment-privacy-notice

Location: Remote - USA Counterpart Health is an AI‑powered physician enablement platform that delivers clinical insights to providers at the point of care. Our flagship product, Counterpart Assistant, is embedded into clinicians’ workflows and integrates with EHR systems, helping care teams drive value-based outcomes, close care gaps, and proactively manage chronic disease. As we grow our data ecosystem, expanding across legacy interoperability networks, QHIN/TEFCA connectivity, and direct HIE integrations, we need rigorous analytical ownership to ensure the clinical data powering our platform is complete, reliable, and actionable. You will serve as the Subject Matter Expert (SME) for clinical data completeness and effectiveness at Counterpart Health. Sitting within the Data Products pillar, this role owns the end-to-end understanding of our clinical data lifecycle: where data comes from, where it breaks down, and how each vendor or integration pathway performs across our customer markets. Your analysis will directly shape vendor strategy, facility targeting, and data pipeline investments, thus ensuring that the clinical evidence our care teams depend on is consistently available and trustworthy. As a Data Analyst, you will: Proactively identify and monitor which healthcare facilities consistently generate high-quality, usable clinical documents (e.g., EHRs, discharge summaries, procedure notes) to precisely locate and quantify data gaps. Conduct deep-dive analyses by mapping and correlating facility-specific data across disparate sources like structured claims, clinical care summaries (CCDAs), and ADT messages to uncover systematic patterns of missingness, latency, Experience with TEFCA/QHIN frameworks and evolving national interoperability standards. Familiarity with vendor-specific data exchange platforms (e.g., Bamboo Health, HSX, Particle Health, Kno2). Background in value-based care, population health, or clinical data operations. Experience with claims-clinical data reconciliation (e.g., matching EOBs to clinical encounter records). Comfort working with Python or similar tools for data manipulation and automation. or incongruence in clinical records. Establish and maintain clear, transparent reporting on ADT coverage across key geographic, organizational, and technological dimensions (e.g., by county, facility, and underlying EMR system). Based on rigorous analysis of data flow and quality, recommend and guide the implementation of optimal technical configurations for existing data vendors (e.g., Bamboo Health, PCC, Experian, HSX). Conduct comprehensive evaluations and proof-of-concepts for potential new data integration technologies (e.g., Kno2 vs. Particle Health) to assess viability, quality improvements, and strategic fit. Systematically determine the existence and completeness of documentation associated with specific patient visits or encounters. Develop a data-driven framework for prioritizing facility targets for direct data acquisition, assessing impact, cost-effectiveness, and technical feasibility. Inform and guide vendor strategy around national initiatives such as TEFCA and QHIN adoption, ensuring Counterpart Health is positioned for compliant, high-quality data exchange. Partner cross-functionally with Product Managers to define data requirements, Engineers to implement reliable pipelines, and Clinical teams to validate data quality and clinical utility. Act as a critical liaison to identify and remove operational and technical bottlenecks, ensuring a predictable, scalable, and reliable clinical data flow across all customer markets. You should get in touch if you have: 5+ years of hands-on data analytics experience, with direct exposure to healthcare data interoperability Strong hands-on experience with healthcare data standards: HL7, CCDA, and ADT messages. Proficiency in SQL and comfort working with large, complex datasets (claims, clinical logs, interoperability data). Background in analyzing interoperability networks (e.g., Carequality, CommonWell, eHealthExchange) or HIE integrations. Skilled at data visualization and able to present complex findings to both technical and non-technical stakeholders. Strong investigative mindset, i.e., you enjoy digging into the “why” behind missing data and diverging metrics. Self-directed and able to manage multiple analytical projects (vendor comparisons, visit-level reconciliation) without constant supervision. Preferred Qualifications: Experience with TEFCA/QHIN frameworks and evolving national interoperability standards. Familiarity with vendor-specific data exchange platforms (e.g., Bamboo Health, HSX, Particle Health, Kno2). Background in value-based care, population health, or clinical data operations. Experience with claims-clinical data reconciliation (e.g., matching EOBs to clinical encounter records). Comfort working with Python or similar tools for data manipulation and automation. 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.

Location: San Francisco; Palo Alto Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity. Perplexity builds AI for those who expect more. Our products are designed to help people find answers, make their most consequential decisions, and complete increasingly ambitious work. Across these use cases, the Perplexity experience must feel deeply personal. Great recommendations and user understanding are central to delighting and delivering for each user. To do this, we are reimagining recommendation systems for the LLM era. Our goal is to combine the intelligence of frontier LLMs, the personalization context that comes from real product usage, and the continual learning capabilities of modern recommendation systems. We build systems that draw on past context and connected data sources to deeply understand each user's needs and recommend the actions that help them get the most out of Perplexity. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both AI native and AI curious users. - 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 - Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics. - Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences. - Design the decision layer that balances competing objectives to produce the best overall experience for the user. - Build the data and evaluation foundations that let these systems learn and improve with usage. - Help shape the technical direction of ranking, recommendations, and personalization at Perplexity. WHAT WE'RE LOOKING FOR - Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale. - Strong ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation. - Experience integrating LLMs into ranking, retrieval, or personalization pipelines. - Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles. - For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects. NICE TO HAVE - Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving). - Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Location: San Francisco; Palo Alto Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity. Perplexity builds AI for those who expect more. Our products are designed to help people find answers, make their most consequential decisions, and complete increasingly ambitious work. Across these use cases, the Perplexity experience must feel deeply personal. Great recommendations and user understanding are central to delighting and delivering for each user. To do this, we are reimagining recommendation systems for the LLM era. Our goal is to combine the intelligence of frontier LLMs, the personalization context that comes from real product usage, and the continual learning capabilities of modern recommendation systems. We build systems that draw on past context and connected data sources to deeply understand each user's needs and recommend the actions that help them get the most out of Perplexity. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both AI native and AI curious users. - 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 - Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics. - Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences. - Design the decision layer that balances competing objectives to produce the best overall experience for the user. - Build the data and evaluation foundations that let these systems learn and improve with usage. - Help shape the technical direction of ranking, recommendations, and personalization at Perplexity. WHAT WE'RE LOOKING FOR - Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale. - Strong ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation. - Experience integrating LLMs into ranking, retrieval, or personalization pipelines. - Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles. - For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects. NICE TO HAVE - Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving). - Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Location: Global (Remote) Workplace: Remote Before you read any further, this is probably not for you. Most people are looking for a role. We are looking for a type of person. That person is wired differently. When everyone else is heading for the exit, they are walking back in. When there is no playbook, they write one overnight. When they hear "it can't be done," they hear a deadline. They do not wait for permission, budget, or instructions. They find a way, and when there is no way, they make one. They are rare. Most companies mistake them for rebels, misfits, or troublemakers right up until they solve a problem nobody else could. We built Rwazi around them. This page exists to find more. WHAT RWAZI IS Rwazi is a Decision AI company. Fortune 500 enterprises run their biggest decisions through us, and the world's most advanced AI companies come to us when they need the most complex AI datasets on earth. We are creating a category that did not exist, and the pace of that creation shapes everything about how we operate. That speed is the point. It is also why we hire the way we do. THE ROLE There is no title. There is no department. There is no job description in the normal sense, because the job is the part of Rwazi that is hardest right now. You will be handed problems that have never been solved, by us or by anyone. No precedent, no expert to call, no process to follow. Your job is to solve them anyway, and then build the system that makes your solution run without you, so you can move to the next one. Solving is the entry fee. Systematizing is the job. The scope has no edges. What you work on this quarter may not exist as a concept today. HOW WE WILL KNOW YOU Nothing on your résumé will save you here. The MBA will not save you. The certifications will not save you. The decade spent doing something that looks similar will not save you, because nothing here looks like anything for long. The difference between people who thrive here and people who do not was never on paper. So we will not ask where you worked or what you studied. What does predict success is a pattern. We have seen it often enough that we can recognize it almost immediately. You take full ownership of outcomes. When something breaks, your first move is toward it, never away, and never toward an explanation of whose fault it was. You generate options relentlessly; when ten doors close, you have already found the eleventh. You are resourceful to the point of art, delivering more with less and never confusing motion with results. You are unreasonably resourceful. When resources are scarce, timelines are absurd, information is incomplete, and everyone else is explaining why something cannot be done, you have a habit of finding a way forward anyway. If you read that and felt recognized, keep going. If you read it and felt tired, stop here. Both reactions are correct. For the right person, this environment feels less like a job and more like being dropped into the middle of an expedition. Every day presents a new challenge. Every solved problem reveals a larger one behind it. Every breakthrough expands what becomes possible. Some people find that exhausting. Others spend their entire careers searching for it. THE HONEST PART This will be the most demanding thing you have ever done. The pace does not slow down; it compounds. The problems do not get easier; they get bigger, because every one you solve raises the ceiling. Most excellent people, people who have succeeded everywhere else, would not last here, and we say that with genuine respect for them. We are not selling comfort. We are offering the arena: the hardest problems, total ownership, zero bureaucracy between you and the outcome, and a seat on the small team changing how business is done in the 21st century. For a specific kind of person, that trade is the best one available anywhere. You know if you are that person. WHAT YOU GET The mission. You are not joining a category. You are building one. The arena. Unsolved problems, real authority, and results that are visibly, undeniably yours. The opportunity. Most companies hire specialists to operate inside systems that already exist. We are offering the opportunity to become one of the people who creates the systems everyone else will eventually operate inside. The growth. Not the kind measured in training programs, promotions, and corporate ladders. The kind that comes from repeatedly facing problems that appear impossible and discovering that they are not. The upside. Compensation is solid, and it grows with what you unlock: when the problems you solve open new ground for Rwazi, they open new ground for you. But if that is the sentence you read twice, this is not your page. The rarest thing we offer is the work itself. Problems this hard, with this much ownership, exist almost nowhere, and the person we want already knows that is the real prize. The structure simply makes sure that when you deliver, you benefit. HOW TO APPLY No cover letter. No keyword résumé. No application form in the normal sense. The application is the Gauntlet. Most people will not finish it. That is the point. Enter the Gauntlet → https://extendedforms.io/s/Vmqy9 If we see what we are looking for, your first conversation with us will be a live problem, not an interview.     Rwazi is an equal opportunity employer. We evaluate on one axis: can you solve the problem. Enter the Gauntlet here → https://extendedforms.io/s/Vmqy9

Location: Singapore, Singapore Workplace: Hybrid ABOUT PAVE BANK Pave Bank is building modern financial infrastructure across payments, banking, trading, and digital asset services. We operate at the intersection of regulated finance, technology, and global capital movement, with a focus on creating products that are operationally robust, commercially scalable, and technically sophisticated. We are looking for a Product Manager who is comfortable operating in ambiguity, translating complex business problems into executable product and engineering outcomes, and helping shape new business verticals from the ground up. This is not a traditional “roadmap maintenance” product role. The ideal candidate is commercially curious, technically literate, and excited to work across multiple domains within financial services. Over time, we expect this role to evolve into ownership of a business unit or strategic product vertical.   WHAT YOU’LL DO Drive Cross-Functional Product Execution - Work closely with leadership, operations, compliance, partnerships, and engineering teams to shape and launch new capabilities. - Translate business needs, operational workflows, and strategic goals into clear product requirements and execution plans. - Partner with engineers on product design, technical tradeoffs, implementation sequencing, and delivery. - Help define APIs, workflows, operational tooling, and user experiences across financial products. Operate Across Multiple Financial Domains You may work across: - Cross-border payments - Banking infrastructure - Trading and liquidity products - Investment-related initiatives - Treasury and settlement workflows - Client-facing financial tooling The role requires comfort switching contexts quickly and developing working fluency in multiple parts of the financial stack. Strategic and Commercial Thinking - Identify opportunities for new product lines, operational efficiencies, or market expansion. - Contribute to business cases, market sizing, pricing considerations, and go-to-market thinking. - Work with stakeholders to evaluate commercial viability and operational feasibility of new initiatives. - Think beyond feature delivery and understand how products contribute to revenue, risk, and long-term company positioning. Communication & Alignment - Act as the bridge between business and technical teams. - Bring clarity to ambiguous problems and align stakeholders around priorities and execution. - Communicate effectively with both highly technical engineers and commercially-focused stakeholders.   WHAT WE’RE LOOKING FOR Strong Product & Business Judgment - Ability to break down ambiguous business problems into structured execution plans. - Strong intuition for prioritization, tradeoffs, and operational practicality. - Commercial mindset with interest in how financial products create value. Technical Fluency You do not need to be an engineer, but you should be comfortable: - Working closely with backend and infrastructure teams - Understanding APIs, workflows, and system dependencies - Discussing implementation tradeoffs with engineers - Writing clear and structured product requirements Adaptability - Comfortable operating in fast-moving environments with evolving priorities. - Able to move between strategic discussions and execution details. - Curious and proactive in unfamiliar domains. Communication Skills - Clear written and verbal communication. - Ability to synthesize complex topics into actionable decisions. - Comfortable engaging with senior stakeholders and cross-functional teams.   Nice to Have - Experience in fintech, banking, payments, trading, or financial services - Exposure to regulated environments - Experience working with engineering teams on backend-heavy products - Background in consulting, startups, strategy, operations, or technical product management - Experience building 0→1 products or new business initiatives   WHY THIS ROLE IS DIFFERENT This role is designed for someone who wants to grow beyond traditional product management. You will be exposed to: - Strategic business decisions - Financial infrastructure and global payments - Technical systems and operational workflows - New market and product expansion - Leadership opportunities across emerging business lines We are looking for someone who wants to help build the business. WHAT WE OFFER: - The opportunity to shape the future of programmable banking and define new standards for global business finance. - A mission-driven, diverse, and international team with deep domain expertise and a passion for innovation. - Competitive compensation and benefits package. - Equity in the company—so you're aligned with our growth and success.

Location: Hanoi OR Ho Chi Minh City WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. ABOUT WORLDQUANT BRAIN: BRAIN is a group within WorldQuant similar to a traditional B2C fintech setup. Our mission is to simplify quant finance and help participants learn and grow through exposure to quant finance, AI, and ML concepts, and in addition, potentially earn compensation based on the quantity and quality of their ideas. WorldQuant BRAIN provides an advanced crowdsourcing platform for external participants to contribute signals, data, and more. THE ROLE: WorldQuant is seeking Researchers to join the BRAIN team. BRAIN is WorldQuant’s crowdsourcing initiative that allows anyone in the world with the right skills to become a Quant. Research Create and develop Alphas and other utilization algorithms on BRAIN Conduct research on academic quantitative finance literature Identify and design new research domains. Generate ideas to grow the domain Platform Development Analyze current functionalities available to researchers, identify any issues with the platform and provide solutions and recommendations to the BRAIN team Design and test new functionalities and datasets on the BRAIN platform. Business Development and Consultant Engagement Work with BRAIN Strategy and Operations country heads and other Business Development partners to enhance & implement BRAIN business strategy for user and consultant acquisition Conduct training sessions for BRAIN users and consultants Prepare and update training curriculum of BRAIN WHAT YOU’LL BRING: Familiarity and competence in using BRAIN, ex-VRC Research Consultant, or BRAIN Research Consultant preferred Possess or expect a Bachelor’s degree or advanced degree in engineering, science, mathematics, finance or any other related field that is highly analytical and quantitative from a leading university Demonstrated programming experience in one of the following (Java/C++/C/Python/MySQL/SQL Server); knowledge of UNIX preferred Possess a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges Have a strong interest in learning about worldwide financial markets Possess good communication and presentation skills in English WHAT WE OFFER: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office! Visit https://www.worldquant.com/brain/ for more information about WorldQuant BRAIN. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Hanoi OR Ho Chi Minh City WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. About WorldQuant BRAIN: BRAIN is a group within WorldQuant similar to a traditional B2C fintech setup. Our mission is to simplify quant finance and help participants learn and grow through exposure to quant finance, AI, and ML concepts, and in addition, potentially earn compensation based on the quantity and quality of their ideas. WorldQuant BRAIN provides an advanced crowdsourcing platform for external participants to contribute signals, data, and more. The Role: WorldQuant is seeking exceptional individuals to join as AI Researchers. In this full-time role, you will work in of Artificial Intelligence (AI) and Large Language Models (LLMs), applying techniques to develop  quantitative models for WorldQuant’s BRAIN platform. As part of this role, you will: Conduct research in AI and LLMs, experimenting with advanced architectures such as Transformer models, Reinforcement Learning, and Generative AI. Design, train, and fine-tune LLMs and other AI models to extract insights, and generate signals Apply AI concepts to create and enhance alphas on the BRAIN platform. Analyze large-scale financial datasets to seek to uncover patterns and build models using statistical, mathematical, and machine learning techniques. Collaborate with platform development teams to design and test new functionalities and datasets. Stay updated on the latest advancements in AI and LLM research, identifying opportunities to integrate them into quantitative finance applications. What You’ll Bring: Technical Expertise : Strong knowledge and hands-on experience in AI, Machine Learning (ML), and LLMs; proficiency in Python and C++; familiarity with PyTorch or TensorFlow. Quantitative Skills : Solid foundation in mathematics, statistics, and quantitative modeling; experience with financial datasets is a plus. Educational Background : Bachelor’s or advanced degree in Computer Science, AI, Mathematics, Financial Engineering, or related fields from a leading university. Research Mindset : Creative problem solver with a passion for experimentation and unsolved challenges; strong interest in financial markets. Collaborative Skills : Ability to work in a team-oriented culture; excellent communication and presentation skills in English. What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office! Visit https://www.worldquant.com/brain/ for more information about WorldQuant BRAIN. #LI-NV1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Remote: United States; San Francisco HQ; Remote: Canada 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. In order to deliver Render to our users, we must first provide the best internal developer platform for engineers to move fast, confidently, reliably, and securely along paved paths with the right set of tools, observability and guardrails. As Engineering Manager for the newly formed Platform team, you’ll lead a growing group of talented engineers — both established team members and future hires — who are energized by the opportunity to build this space alongside you. Together, you will modernize and bring Render's internal developer platform and shared production infrastructure (observability, CI/CD, developer environments, storage, and more) from good to great. Because the landscape we operate in is evolving rapidly, we build infrastructure that is modular and adaptable, able to support a product direction that is itself responding to a fast-moving market without over-indexing on any single bet. This team will have tremendous impact; unlike most infrastructure teams that build for internal consumers, our infrastructure is the product. Not only will you be enhancing the velocity and impact of your fellow Render engineers, but the 4.5 million developers using our platform as well. This role blends strong technical leadership with product thinking: you’ll partner closely with other engineering teams as well as product managers to translate user needs into high-quality, scalable systems that developers rely on every day. You’ll be responsible for guiding technical direction, developing engineers, and ensuring the team ships meaningful improvements quickly while maintaining the high standards that define Render’s platform. The ideal candidate brings a strong engineering background, a deep sense of ownership, and a passion for building products that developers love. WHAT YOU'LL DO - Lead and grow a team of platform engineers, supporting their development through mentorship, feedback, and clear technical guidance. - Drive execution on key product initiatives from ideation through launch, balancing speed with high standards of reliability and quality. - Foster a culture of ownership, accountability, and continuous improvement across engineering practices and team processes. - Engage deeply in technical discussions, guiding system design decisions and helping the team navigate architectural tradeoffs. - Stay up to date with relevant industry trends, emerging tools, and developer practices that will inform future team learning and opportunities for investment. - Help the team break down complex problems into incremental milestones that deliver value quickly while supporting long-term platform evolution. - Ensure teams maintain a strong understanding of the developer experience and reliability, security, and velocity impact of the features they build. - Partner closely with other teams like Runtime, Security, and Product to understand needs, align priorities, and ensure delivery of impactful features and solutions through thoughtful technical solutions and product roadmaps. WHAT WE'RE LOOKING FOR - 8+ years as an Engineer on an Infrastructure or similarly shaped team shipping products or features for other developers. - 4+ years of experience managing people and developing engineers, including hiring, mentorship, and performance management. - Excellent communication and collaboration skills, with the ability to work effectively across engineering, product, and design. - Strong technical background with the ability to engage deeply in system design, architecture, and engineering tradeoffs. - Ability to translate engineering goals and user needs into roadmaps and shipped features. - A strong sense of ownership and accountability for both team outcomes and long-term system health. - Experience improving Reliability and/or Developer Experience through tooling, processes, and team practices. - Deep experience with open source technologies supporting an internal platform tool or cluster, build & deployment systems, CI/CD, observability, and/or configuration management. NICE-TO-HAVES - Background working on highly scalable distributed systems or infrastructure platforms. - Experience on teams managing large fleets of developer environments, sandboxes, or testing ecosystems. - Experience building platforms and/or products used directly by developers. 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: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Growth team owns the product loops that help them discover, adopt, and build lasting habits around our most important AI experiences. As a growth engineer at Perplexity, you'll work across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — while also building the applied AI systems that make those experiences smarter. Engineers are responsible for end-to-end projects from training and productionizing classifiers to identify high-intent users, personalizing value discovery, shipping contextual onboarding experiments, or wiring new AI capabilities into measurable adoption and revenue outcomes. Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product - we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end. Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | 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 - Design, build, and own growth surfaces across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — for Computer and every Perplexity product. - Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel and learning quickly from each. - Build applied AI systems that power growth: classifiers for high-intent segments, personalization for value discovery, and AI-driven onboarding and recommendation surfaces. - Launch vertical-specific experiences (e.g., students, enterprise organizations) that connect new AI capabilities to measurable adoption and revenue outcomes. - Hill-climb on the metrics that matter: activation rate, paid conversion, retention, and habit formation, instrumented with clean data and trustworthy experiment readouts. - Partner closely with Product, Design, Data Science, Monetization, Marketing, and Applied AI to translate behavioral signals and model outputs into durable product surfaces. QUALIFICATIONS - 2+ years of professional software engineering experience (we're open to strong junior and mid-level candidates with a track record of shipping). - Full-stack engineering skills, with comfort across a modern web stack (we use Next.js, React, TypeScript on the frontend and Python on the backend). - Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome. - Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents). - Comfort with SQL and data-informed decision-making — you can pull, segment, and interpret your own funnel data. - Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions. - Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - Direct experience on a growth, activation, conversion, retention, or lifecycle team at a consumer or PLG/self-serve SaaS company. - Experience training and productionizing ML models (classifiers, ranking, personalization) and connecting them to product surfaces. - Experience with SEO, lifecycle marketing tooling, or paid acquisition surfaces. - Familiarity with subscription and/or usage based billing products, paywalls, or paid upgrade experimentation. - Experience shipping for both consumer and enterprise audiences. - Time spent at a fast-growing startup or on a high-ownership engineering team. - Familiarity with mobile development - Swift/Objective-C/Kotlin/Java, in-app payments, mobile release cycles, Apple App Store and/or Google Play Store guidelines, and rollout monitoring

Location: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Growth team owns the product loops that help them discover, adopt, and build lasting habits around our most important AI experiences. As a growth engineer at Perplexity, you'll work across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — while also building the applied AI systems that make those experiences smarter. Engineers are responsible for end-to-end projects from training and productionizing classifiers to identify high-intent users, personalizing value discovery, shipping contextual onboarding experiments, or wiring new AI capabilities into measurable adoption and revenue outcomes. Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product - we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end. Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | 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 - Design, build, and own growth surfaces across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — for Computer and every Perplexity product. - Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel and learning quickly from each. - Build applied AI systems that power growth: classifiers for high-intent segments, personalization for value discovery, and AI-driven onboarding and recommendation surfaces. - Launch vertical-specific experiences (e.g., students, enterprise organizations) that connect new AI capabilities to measurable adoption and revenue outcomes. - Hill-climb on the metrics that matter: activation rate, paid conversion, retention, and habit formation, instrumented with clean data and trustworthy experiment readouts. - Partner closely with Product, Design, Data Science, Monetization, Marketing, and Applied AI to translate behavioral signals and model outputs into durable product surfaces. QUALIFICATIONS - 2+ years of professional software engineering experience (we're open to strong junior and mid-level candidates with a track record of shipping). - Full-stack engineering skills, with comfort across a modern web stack (we use Next.js, React, TypeScript on the frontend and Python on the backend). - Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome. - Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents). - Comfort with SQL and data-informed decision-making — you can pull, segment, and interpret your own funnel data. - Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions. - Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - Direct experience on a growth, activation, conversion, retention, or lifecycle team at a consumer or PLG/self-serve SaaS company. - Experience training and productionizing ML models (classifiers, ranking, personalization) and connecting them to product surfaces. - Experience with SEO, lifecycle marketing tooling, or paid acquisition surfaces. - Familiarity with subscription and/or usage based billing products, paywalls, or paid upgrade experimentation. - Experience shipping for both consumer and enterprise audiences. - Time spent at a fast-growing startup or on a high-ownership engineering team. - Familiarity with mobile development - Swift/Objective-C/Kotlin/Java, in-app payments, mobile release cycles, Apple App Store and/or Google Play Store guidelines, and rollout monitoring

Location: Baku, Azerbaijan Senior Subsurface Specialist Location : Baku, Azerbaijan Type : Full-time Company : DRL LLC About eiGroup At eiGroup, we believe ideas can change industries - but only if they are nurtured with structure, science, and courage. We’re an R&D and Innovation Venture Studio that transforms human ingenuity into technological value that scales. Our ecosystem brings together researchers, engineers, and creators who turn complex challenges into scalable products - from subsurface imaging to AI-driven analytics, from remote sensing to digital transformation. Our ventures are built in-house, born from research, and grown into independent companies. Together, we’re shaping how innovation takes root in this region - and how it reaches the world. What You’ll Do 1. Existing Scope (Petrophysics-Focused Responsibilities) Lead domain-driven development of digital tools and workflows for petrophysics challenges, including log interpretation automation, missing-log prediction, anomaly detection, and reservoir layer quality assessment. Work closely with clients to understand pain points in petrophysical workflows and translate them into actionable digital solutions. Oversee reservoir characterization workflows, LWD-related automation, and advanced predictive modelling in the petrophysics domain. Provide domain assurance across tools developed by the data science and engineering teams, ensuring technical accuracy, consistency, and usability. Validate results, ensure model quality, and provide technical acceptance of delivered functionalities. Contribute to design and refinement of petrophysical algorithms, QC processes, and automated interpretation methodologies. 2. Future Scope (Geology & Reservoir Engineering Responsibilities) Drive the development of digital automation tools for geology and reservoir engineering, including geological procedure automation, integration across subsurface domains, and workflows for simulation data access/management. Scope backlog items for geology/RE activities, ensuring alignment with client needs and long-term product vision. Support development of tools involving geological modelling, simulation case handling, reservoir properties prediction, and domain-integrated interpretation. Ensure technical consistency between petrophysics, geology, and reservoir engineering products to deliver holistic subsurface solutions. Provide domain input on reservoir engineering concepts (classical RE, material balance, well/reservoir response understanding, etc.) when shaping future modules. 3. Client Interaction & Project Leadership Maintain continuous communication with clients, understand their business challenges, and translate requirements into digital product scopes. Lead scoping workshops, perform domain research, and develop solution proposals aligned with client expectations. Break complex business problems into structured, development-ready tasks for data science/software engineering teams. Provide domain oversight throughout development sprints, ensuring accuracy, consistency, and business relevance of delivered features. Support quality assurance and acceptance testing of domain-related components. Help identify new opportunities, propose enhancements, and contribute to long-term product strategy and scalability. 4. Internal Leadership, Vision & Growth Mentor junior domain specialists and support their technical development. Actively contribute to the product vision, roadmap design, and strategic direction for future domain-driven services. Work with management to explore new directions, client accounts, and partnership opportunities for business scale-up. Drive a high-energy, forward-pushing culture—motivating team members and ensuring clear planning of long, mid, and short-term objectives. Participate in sprint planning, backlog prioritization, and agile delivery cycles within a dynamic development environment. 5. Documentation, Reporting & Communication Prepare high-quality presentations, guidance documents, and quick analytical reports for both internal and client stakeholders. Communicate domain concepts clearly to technical and non-technical audiences. Present solutions, findings, and project progress in a structured, confident, and professional manner. What You Bring 1. Technical & Domain Requirements 5+ years of experience in subsurface domains with strong knowledge/experience in at least one and good understanding in remanining of following disciplines petrophysics, reservoir engineering and geology. Proven hands-on experience in reservoir characterization, log interpretation, QC workflows, and predictive modelling (missing log prediction, anomaly detection, LWD interpretation, etc.). Working knowledge of geological modelling, simulation workflows, and reservoir engineering concepts (classical RE, well/reservoir behaviour, system understanding). Ability to translate complex domain problems into structured digital workflows, algorithms, and automation opportunities. Prior involvement in digital product development, domain-driven automation workflows, or multidisciplinary technology projects is highly preferred. Familiarity with databases, data structures, and basic exposure to programming or scripting languages (Python, SQL, etc.) is a strong advantage. 2. Project & Delivery Skills Experience working in highly dynamic, agile development environments, including sprint planning, backlog creation, and iterative delivery. Ability to break down complex business problems into actionable tasks for data science and engineering teams. Strong capability in scoping, requirement formulation, and domain assurance throughout development. Demonstrated ability to validate technical outputs, ensure quality of delivered workflows, and provide domain acceptance. 3. Communication & Client-Facing Requirements Excellent communication skills with the ability to interact confidently with both clients and technical teams. Ability to run scoping workshops, gather requirements, and present digital solution proposals. Fluent in English, with strong presentation skills and ability to prepare high-quality PowerPoints, reports, and guidance materials. Ability to articulate complex subsurface concepts in a clear, structured, and business-oriented manner. 4. Leadership & Strategic Skills Experience mentoring junior subsurface specialists or leading small domain teams. Strong sense of initiative and ownership, with the ability to drive progress, manage expectations, and push delivery forward. Ability to think long-term and contribute to the growth strategy of domain-driven digital services. Proven track record of opening new opportunities, supporting pre-sales activities, and building relationships with multiple clients. 5. Personal Attributes Highly dynamic, proactive, and comfortable working in fast-paced environments. Strong analytical mindset with capacity to plan short-, mid-, and long-term objectives. Adaptability, problem-solving attitude, and ability to manage ambiguity. Passion for innovation, digitalization, and continuous improvement of subsurface workflows. Our benefits include: Medical insurance (family coverage) Flexible working hours “Push 30” wellness program - company-covered Childcare support Company-provided lunch

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role We’re seeking an exceptional Principal Engineer to shape the technical direction and long-term architecture of Aidoc’s AI-first development tools. You’ll report to the company’s co-founder and Chief Architect, and drive meaningful change to the whole R&D department, setting standards of how engineering is done well and productively in Aidoc. In this role, you’ll lead complex, cross-organization initiatives and drive architectural strategy across multiple teams, while staying close to the code and ensuring decisions are grounded in real-world implementation. You’ll work directly with R&D leadership and all R&D teams to define and build the tools which will make Aidoc’s R&D organization 10x faster and better thanks to the new AI capabilities of the world. We will work in “startup mode” - close to our users, delivering value in quick iterations, while keeping very high engineering standards. Responsibilities Define and drive long-term strategy for AI-first dev tools in collaboration with engineering leadership. Define, develop, and integrate tools based on the latest AI technologies for the benefit of Aidoc’s R&D department. Lead company-wide technical initiatives, ensuring alignment across multiple teams. Lead and formalize engineering best practices around performance, reliability, and observability. Evaluate emerging technologies and identify opportunities to improve scalability, developer productivity, and overall system robustness. Requirements 15+ years of professional experience building software systems in Development. Proven track record in technical leadership roles, delivering complex cross-functional projects. Deep understanding of architecture, scalability, and operations of an engineering organization delivering enterprise software. Experience with cloud infrastructure (AWS or equivalent), and modern DevOps practices. Strong coding skills in one or more modern backend languages (e.g., Python, Go, Node.js, Java, C#). Power user of AI-first development tools (Claude Code / Cursor / other agents / MCP servers etc.) Strong technical leadership skills - able to align technical directors and executives towards a shared technical vision. First principles thinking - ability to break down your recommendations to the basic technical truths behind them. Advantage: experience delivering products to developers / highly technical customers. Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: Hong Kong, Hong Kong SAR 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. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are looking for a Senior Growth BI Project Manager to join our CEO Office. This is a high-impact, end-to-end role that sits at the intersection of data intelligence and execution — covering OKX's key regulated markets globally. You will own the full loop: identifying growth problems through data, diagnosing root causes, shaping recommendations, and driving outcomes through cross-functional execution. Beyond technical and operational skills, what will set you apart is who you are. We are looking for someone with an exceptional ability to learn fast and operate in unfamiliar territory without losing direction. Someone who does not wait to be told what matters — you find it yourself. Someone who genuinely cares about the work and brings energy to problems that others find too messy or too ambiguous to touch. What You'll Be Doing Growth Analytics & Insight Monitor core growth metrics across regulated markets, proactively identifying anomalies, trends, and emerging opportunities. Conduct structured root-cause analysis on growth performance — moving beyond data description to diagnosis: why did this happen, and what should we do about it. Translate analytical findings into clear, prioritized recommendations for senior leadership and local market growth teams. Build and maintain analytical frameworks and dashboards that give leadership a clear, real-time view of market health and growth efficiency. Program Management & Execution Own the end-to-end execution of key growth initiatives: from scoping and planning through to delivery and outcome tracking. Drive cross-functional coordination across growth, product, engineering, and operations teams — ensuring alignment, accountability, and on-time delivery. Define measurable success criteria for each initiative and close the loop on results. AI-Augmented Ways of Working Actively apply AI tools and automation to accelerate analysis, reporting cycles, and operational workflows. Champion AI-native practices within the team and demonstrate productivity gains through concrete examples. What We Look For In You At least 4 years of experience in growth analytics, business intelligence, strategy, or program management — ideally from a top internet company, fintech, Web3 firm, or management consulting background. Exceptional learning agility — able to rapidly absorb new domains, connect the dots across unfamiliar data, and develop informed views in areas where you had no prior expertise. Strong logical and quantitative thinking — you break complex problems into structured components and form conclusions grounded in evidence, not assumption. Extreme self-motivation and ownership — you take full accountability for your workstreams, set your own direction, and are not satisfied until you see measurable outcomes. A genuine drive and passion for the work — you thrive in ambiguous, fast-moving environments, and find clarity and momentum where others find friction. Excellent communication skills; able to adapt between technical and non-technical audiences, and comfortable presenting to senior leadership. Bilingual proficiency in English and Mandarin Chinese is preferred to work with stakeholders in Mandarin-speaking markets. Nice to Haves Prior experience in the Web3 or crypto industry, or as a user of crypto products — genuine familiarity with the space is a meaningful advantage. Hands-on experience building AI agent systems or complex workflows, beyond general tool usage. Experience working within international or multinational organizations, with cross-regional stakeholder exposure. Solid track record in growth analytics or channel analysis — comfortable working with acquisition, retention, and channel performance data, and experience translating analytical work into growth decisions. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy 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! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. 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: Singapore, Singapore 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. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are looking for a Senior Growth BI Project Manager to join our CEO Office. This is a high-impact, end-to-end role that sits at the intersection of data intelligence and execution — covering OKX's key regulated markets globally. You will own the full loop: identifying growth problems through data, diagnosing root causes, shaping recommendations, and driving outcomes through cross-functional execution. Beyond technical and operational skills, what will set you apart is who you are. We are looking for someone with an exceptional ability to learn fast and operate in unfamiliar territory without losing direction. Someone who does not wait to be told what matters — you find it yourself. Someone who genuinely cares about the work and brings energy to problems that others find too messy or too ambiguous to touch. What You'll Be Doing Growth Analytics & Insight Monitor core growth metrics across regulated markets, proactively identifying anomalies, trends, and emerging opportunities. Conduct structured root-cause analysis on growth performance — moving beyond data description to diagnosis: why did this happen, and what should we do about it. Translate analytical findings into clear, prioritized recommendations for senior leadership and local market growth teams. Build and maintain analytical frameworks and dashboards that give leadership a clear, real-time view of market health and growth efficiency. Program Management & Execution Own the end-to-end execution of key growth initiatives: from scoping and planning through to delivery and outcome tracking. Drive cross-functional coordination across growth, product, engineering, and operations teams — ensuring alignment, accountability, and on-time delivery. Define measurable success criteria for each initiative and close the loop on results. AI-Augmented Ways of Working Actively apply AI tools and automation to accelerate analysis, reporting cycles, and operational workflows. Champion AI-native practices within the team and demonstrate productivity gains through concrete examples. What We Look For In You At least 4 years of experience in growth analytics, business intelligence, strategy, or program management — ideally from a top internet company, fintech, Web3 firm, or management consulting background. Exceptional learning agility — able to rapidly absorb new domains, connect the dots across unfamiliar data, and develop informed views in areas where you had no prior expertise. Strong logical and quantitative thinking — you break complex problems into structured components and form conclusions grounded in evidence, not assumption. Extreme self-motivation and ownership — you take full accountability for your workstreams, set your own direction, and are not satisfied until you see measurable outcomes. A genuine drive and passion for the work — you thrive in ambiguous, fast-moving environments, and find clarity and momentum where others find friction. Excellent communication skills; able to adapt between technical and non-technical audiences, and comfortable presenting to senior leadership. Bilingual proficiency in English and Mandarin Chinese is preferred to work with stakeholders in Mandarin-speaking markets. Nice to Haves Prior experience in the Web3 or crypto industry, or as a user of crypto products — genuine familiarity with the space is a meaningful advantage. Hands-on experience building AI agent systems or complex workflows, beyond general tool usage. Experience working within international or multinational organizations, with cross-regional stakeholder exposure. Solid track record in growth analytics or channel analysis — comfortable working with acquisition, retention, and channel performance data, and experience translating analytical work into growth decisions. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy 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! 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 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. We're seeking an exceptional Research Scientist to join our Life Sciences team at Anthropic. Our team is building a world-class research group focused on making Claude a superhuman life sciences research assistant. This role sits at the intersection of machine learning, software engineering, and biology — you'll directly improve model capabilities on scientific tasks through post-training, evaluation design, and RL environment development. As a core member of our Life Sciences team, you'll work in a high-impact team that translates deep biological domain knowledge into model training objectives, benchmarks, and agentic workflows. You'll help establish Anthropic as a leader in AI-accelerated biology while shaping how frontier models reason about and execute computational biology tasks. This role offers a unique opportunity to shape how frontier AI models learn to do biology. You'll work alongside some of the world's best AI researchers while tackling problems that matter for human health and scientific understanding. If you're excited about turning your computational biology expertise into model capabilities, we want to hear from you. Key Responsibilities Build and ship agentic tools and integrations that let Claude execute real life science workflows — bioinformatics pipelines, database queries, analysis notebooks, literature review Design and build evaluation benchmarks that measure model capabilities on biology tasks — figure interpretation, bioinformatics, protocol reasoning, literature synthesis Work closely with product and design teams to scope, prototype, and ship features for life sciences users Partner with external biotech, pharma, and academic users to understand their workflows and turn feedback into product improvements Build and maintain the engineering infrastructure behind our biology product surface — tool scaffolding, data pipelines, eval harnesses Translate biological domain knowledge into product requirements and evaluation criteria that guide model improvement Minimum Qualifications Experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar Experience working in drug discovery or development at a biotech or pharma company, or conducted fundamental research in an academic setting — with an understanding of what real scientific workflows look like and where they break down Strong software engineering skills: comfortable building production-quality Python, working in large codebases, and owning infrastructure end-to-end Hands-on experience training or fine-tuning ML models (LLMs, protein language models, or other deep learning architectures) A track record of shipping computational tools or pipelines that biologists actually use Comfortable navigating ambiguity and defining problems in a rapidly evolving research environment Able to work independently while collaborating tightly with research, product, and domain-expert teams Results-oriented with a bias toward rapid iteration and measurable impact Passionate about using AI to accelerate scientific discovery while maintaining high ethical standards Preferred Qualifications 5+ years of experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar Ph.D. in computational biology, bioinformatics, bioengineering, CS, or a related quantitative field — or equivalent industry experience Experience with LLM post-training: RLHF, RL from verifiable rewards, SFT data curation, or eval-driven development Direct experience with therapeutic discovery pipelines — target identification, lead optimization, ADMET modeling, or clinical data analysis Familiarity with bioinformatics tooling and pipelines (sequence analysis, structure prediction, single-cell, variant calling, etc.) Experience building agentic systems or tool-use environments Published research in ML for biology, or open-source contributions to computational biology tools Fluency with biological databases (UniProt, PDB, Ensembl, NCBI) and the ability to reason about their schemas and failure modes 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: $300,000 — $320,000 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.