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Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The AI Security team within Reddit’s Security Platform Engineering organization builds security into Reddit’s products, engineering systems, AI platforms, and operational infrastructure so the secure path is the easiest path for both people and agents. A core part of this work is developing practical, high-quality machine learning systems that detect and prevent risks such as prompt injection, jailbreaks, sensitive data exposure, and unsafe or unauthorized AI behavior. Building on Reddit’s centralized LLM Guardrails Platform, which provides a shared security and safety boundary across major products, we are expanding ML-powered protections as Reddit’s AI systems and threat landscape evolve. We are looking for a founding Staff Machine Learning Engineer to lead the development, training, and optimization of models for AI security at Reddit. This is a strategic and hands-on individual contributor role, combining deep ownership of model architecture, training data, and experimentation with technical leadership across teams. You will help Reddit deliver stronger AI protections while preserving a high-quality product experience. How You’ll Have Impact Select, adapt, fine-tune, evaluate, and deploy pretrained models and lightweight classifiers for Reddit-specific security problems. Build reproducible training and evaluation pipelines on Reddit’s ML platform, partnering with platform engineers to improve inference performance, resource efficiency, and operational reliability. Set the technical vision and multi-quarter modeling roadmap, partnering with cross-functional teams to gather requirements, define model architectures, and iterate on model development. Conduct model evaluations and performance analysis to improve accuracy and adversarial robustness, and define launch criteria that balance false positives, latency, throughput, reliability, and cost. Own training-data quality and the production model lifecycle, using monitoring, incident findings, and red-team feedback to guide dataset improvements, retraining, and safe rollout or rollback. Establish best practices for responsible ML development and deployment, including reproducible experiments, testing, model and data lineage, and privacy-aware data use. Stay current with research in NLP, large language models, and relevant multimodal techniques, translating promising advances into measurable model improvements. Mentor engineers and lead technical discussions and reviews, shaping the team’s long-term ML capabilities and AI security direction. Who You Might Be 8+ years of experience developing machine learning models, with substantial hands-on model training experience, demonstrated production impact, and a record of leading complex initiatives across teams. Strong background in Python programming, software engineering, and deep learning frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face Transformers. Deep understanding of neural network architectures and optimization, with proficiency in data preprocessing, tokenization, embeddings, language modeling, and model calibration. Expertise in scalable data pipelines and distributed training frameworks such as Ray Train or PyTorch Distributed, with a strong understanding of hardware and system tradeoffs. Demonstrated rigor in experimental design and model evaluation, including representative holdouts, ablation studies, adversarial tests, and error analysis to diagnose training issues, bias, and generalization gaps. Excellent written and verbal communication, with the ability to explain model behavior, security risk, uncertainty, and tradeoffs to technical and non-technical partners. Preferred Qualifications Experience applying ML to security, trust and safety, fraud, privacy, or related adversarial domains. Experience with adversarial training, model distillation, active learning, or synthetic-data generation to improve model quality, robustness, and training efficiency. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: USA Flex is a growth-stage, NYC headquartered FinTech company that is building the payment layer for life's financial obligations, giving households one place to see, split, and pay their bills around how they live and get paid. By offering greater choice over how and when payments are made and allowing eligible on time payments to help build a positive credit history, Flex puts households back in control of their cash flow. That work brings together people with different perspectives who challenge the status quo and take ownership of solving difficult problems. For you, that means doing the best work of your career next to people who make you better, and together bringing ideas to life that make a real impact for the people we serve. About Our Opportunities Flex exists to make paying rent work the way real life actually works — smoothing out cash flow, helping renters avoid late fees, and letting them build credit instead of falling behind. As a Staff Backend Engineer, you'll design, build, and scale the services and integrations behind Payment, Billing, Identity, and partner integrations that keep rent moving on time for renters every month — setting the long-term technical vision and architecture for the systems you own, leading scoping, design, and implementation across teams, driving your own production rollouts to completion with minimal oversight, and working closely with product, design, and engineering peers to solve renters' most pressing problems in small, frequent iterations rather than big, risky releases. You'll also raise the bar for the engineers around you, mentoring peers and driving consistency and best practices across the org. About Our Team(s) We have some really exciting teams who are looking for an amazing engineer like you! Check them out! Partner Integrations - Partner integrations work to standardize APIs, tools, and processes that let external partners connect to Flex for data sharing and payments across entry points like Flex Anywhere and Quick-Pay Money Team - builds and owns the platforms, tooling, and documentation powering Flex's payments, wallet, and settlement finance systems. Who thrives here? A Doer — you get things done efficiently, and you're comfortable rolling up your sleeves when something's blocking the team. An Owner — you take full accountability for what you build, from design through production, and you always have a plan B. Someone Collaborative — you bring people together to pressure-test ideas rather than working in a silo. Someone with Precision — your code and your communication are both clear, because ideas only matter once others can act on them. Someone Resilient — systems break and priorities shift, and you adapt without losing momentum. Someone Humble — you care more about getting to the right answer than being the one who's right. Qualifications Minimum Qualifications Minimum of 8 years experience in software engineering Minimum of 6 years experience with Java Proven ability to set technical direction and architecture for complex, distributed systems Ability to lead and mentor engineers, raising the technical bar across a team or org Ability to work on a globally-distributed team with a high degree of ownership Experience working with technical and non-technical stakeholders, successfully aligning and setting expectations on scope and delivery Experience building robust, fault-tolerant systems with multiple external dependencies Experience designing, building, and maintaining data pipelines Proficient in Java frameworks and tools used at Flex, including Spring (core/web/boot), Gradle, JUnit, and JVM (memory/performance tuning, GC) Experience with Service-Oriented Architecture, REST APIs, Message Queues, and scalable architectures Experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization tools Preferred Qualifications Proficient in CI/CD systems (preferably GitHub Actions), git, and automation Skilled in observability and monitoring tools, such as DataDog, to ensure high availability Experienced with big data platforms and tooling, including Snowflake Proficient in Infrastructure as Code, using tools like CDK and Terraform Track record of elevating team standards through best practices, and mentoring engineers at all levels Excellent written and verbal communicator, with experience influencing cross-functional strategy Compensation Flex takes a market-based approach to pay, and compensation may vary depending on your primary work location. Work locations are categorized into one of three tiers based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be commensurate with their experience, qualifications, and Flex’s internal leveling guidelines and benchmarks. Tier 1 (NYC/Bay Area, Los Angeles, Seattle) $200,000 — $250,000 USD Tier 2 (Austin, Washington D.C. Philadelphia, San Diego, Chicago, Atlanta) $180,000 — $225,000 USD Tier 3 (Salt Lake City, all other USA cities) $170,000 — $212,500 USD Life at Flex Building a successful company takes a diverse team of intelligent, curious, determined, empathetic, and self-aware people. Our headquarters is in New York City, with employees across the US, Australia, Canada, and South America. We’re growing quickly and deliberately, with a focus on building an inclusive culture. We value the perspectives our people bring and take pride in being an equal opportunity workplace. Offices Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program. Benefits View our benefits and more at getflex.com/careers .

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As a Staff Security Engineer on Security Incident Response, you'll serve as a senior technical leader and builder for the team, helping shape both how we respond to incidents today and how our response capabilities evolve over time.This role is about advancing what the team is capable of, not just responding when something breaks. You'll design and build the AI-assisted systems that extend the team's reach, lead the response to the most complex incidents, and own programs that make the organization more prepared over time, from tabletop exercises and gamedays to the continued advancement of threat hunting and insider risk capabilities. You bring engineering depth, sound incident judgment, and the ability to plan, and deliver complex work against a longer-term maturity roadmap not just execute against a queue. This is a senior individual contributor role with organization-wide impact on how 1Password investigates, contains, and learns from security incidents. This role reports to the Manager, Security Incident Response. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: - Significant experience leading complex, high-severity security incidents across multiple environments, including serving as an incident commander or equivalent technical lead. - Experience designing and building AI-assisted or agentic automation for security operations (triage, investigation, containment), with sound judgment about where automation should and shouldn't hold decision authority. - Strong software engineering skills, and experience building production tooling, automation, or systems rather than only operating existing security platforms. - Experience owning a security program or capability roadmap end to end, including planning, sequencing, and delivering multi-quarter work. - Strong understanding of cloud-native, SaaS, and identity-driven attack techniques and response approaches. - Experience designing and running tabletop exercises, gamedays, or comparable readiness programs and translating findings into improvements.. - Strong written and verbal communication skills, including the ability to represent technical tradeoffs to senior leadership and cross-functional stakeholders. - Experience mentoring engineers or otherwise raising the technical and investigative capabilities of a team. How you'll work: - You look for opportunities to build systems that scale the team's capabilities rather than relying on repeated manual effort, and you're interested in thoughtfully applying AI and automation where they can improve security outcomes. - An experienced incident commander who brings structure to complex incidents, makes sound decisions with incomplete information, and helps teams move forward during high-pressure situations. - You're comfortable taking ownership of a capability from strategy through execution, including defining priorities, sequencing work, navigating dependencies, and delivering against a longer-term roadmap. - You can operate as a technical partner to leaders and cross-functional teams, independently representing technical priorities, risks, and tradeoffs. - You value continuous improvement and contribute to an environment where teams can examine incidents, decisions, and failures openly and turn what they learn into stronger systems and practices. What you can expect: - Serve as incident manager and technical escalation point for complex, high-severity events, bringing structure, sound judgement, and clear decision-making under pressure. - Design and build AI-assisted and automated systems that improve how quickly and consistently the team can triage, investigate, and contain incidents. - Establish appropriate safety controls, approval gates, auditability, and rollback mechanisms for automated and AI-assisted actions, ensuring high-impact decisions remain appropriately human-controlled. - Own the team's readiness programs, including tabletop exercises and incident gamedays, from scenario design and execution through debriefing and translating finishes into concrete (or measurable) improvements - Advance the team’s threat hunting and insider risk capabilities by identifying opportunities, defining priorities, and delivering roadmap work that improves investigative depth and coverage - Plan, sequence, and deliver multi-quarter initiatives that mature the team's capabilities, bringing project management discipline to work that doesn't fit neatly into a sprint. - Mentor and provide technical leadership to other engineers, strengthening engineering rigor and investigative judgement across the team. - Partner with Security Operations, Product Security, and Engineering teams to close gaps surfaced through investigations, hunting, and simulations. - Foster psychological safety and blameless learning across incident retrospectives, gamedays, and tabletop debriefs. - Extend strong incident response practices beyond the immediate team by building reusable systems, tooling, and operating patterns that strengthen response capabilities across areas such as PSIRT, Privacy, and Engineering. USA-based roles only: The annual base salary for this role is between $192,000 USD and $278,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $167,000 CAD and $242,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you'd like. As Reddit’s advertising ecosystem rapidly expands, protecting our platform, advertisers, and users from bad actors is paramount. We are seeking a Staff Threat Analyst to serve as the operational architect for Advertiser Fraud within Safety. You will have end-to-end ownership to establish the strategy, build foundational detection playbooks, and define enforcement frameworks. You will work in tight partnership with cross-functional Product, Engineering, Data Science, and Ops teams across both Safety and Ads orgs to convert adversarial insights into scalable automated defenses. This is a 0-to-1 opportunity to shape our threat response frameworks, operational playbooks, and detection pipelines from scratch. Responsibilities: Strategy & System Architecture: Formulate and execute a multi-quarter vision for advertiser fraud detection and enforcement; independently prioritize high-impact risks like account takeover (ATO), payment/billing fraud, cloaking, deceptive ads and network abuse. Deep Analytics & Investigations: Conduct deep-dive investigations into complex, multi-entity fraud networks and sophisticated adversarial tactics. Drive root-cause analysis and map cluster infrastructure to prevent recurring abuse. Product/XFN Delivery: Partner directly with Data Science and Engineering to translate investigative findings into high-precision detection logic, risk scores, and automated enforcement pipelines. Serve as the primary Safety SME interfacing with Ads Product, Ads Engineering, and Policy teams to align on shared risks. Synthesize complex adversarial dynamics into strategic guidance for senior leadership. Playbook & Methodology Development: Design, document, and standardize operational playbooks, escalation frameworks, QA standards, and feedback loops for all investigative and enforcement pathways. Qualifications & Experience: 7+ years of experience in threat intelligence, ad tech safety, trust & safety investigations, or platform integrity (focused on ad fraud, financial crime, ATO, or spam abuse). Demonstrated 0-to-1 track record of operating in ambiguous environments to build threat response frameworks. Strong proficiency in SQL, Python or R, and big data environments to independently query petabyte-scale datasets and construct adversarial network graphs. Experience using AI/LLMs as investigative copilots and partnering with ML teams to deploy LLM-based detection classifiers. Deep functional expertise in digital ad ecosystems, ad serving infrastructure, and ad-specific fraud archetypes. Preferred Qualifications: Familiarity with global ad compliance, privacy regulations, and regulatory reporting standards. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-SP1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $167,500 — $234,500 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Gray Swan is an American cybersecurity startup that protects artificial intelligence systems and large language models (LLMs) from hacker attacks, vulnerabilities, and failures. Work format: Remote work (US only) or on-site (Pittsburgh).

Location: India Workplace: OnSite ABOUT HUMAN ARCHIVE Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. About the Role We build and run the software platform behind a large-scale data collection and annotation operation: the system of record that tracks what was collected and by whom, the tooling annotators work in, the ingest integrations that move data from physical media into cloud storage, and the reporting that tells us whether any of it is working. These are internal systems with real users — operators in the field, annotators working through millions of items, ingest stations moving terabytes, and machine clients writing back automatically. They are small enough that you will own whole systems and serious enough that correctness matters: a duplicated record or a dropped identifier means data that can no longer be traced to what produced it. We want a strong generalist. You will design schemas, build APIs, write the interfaces on top of them, and deploy and debug the whole thing in production. Nobody here hands you a spec. WHAT YOU’LL DO - Design and build services end to end — schema, API, and the internal interfaces on top — primarily Python, FastAPI, PostgreSQL and React - Build a bunch of dashboards and internal web apps to track metrics, KPIs and deployments - Own data models where correctness is load-bearing: explicit table grain, immutable external identifiers, idempotent writes, derived rather than duplicated state - Build tooling for human review workflows, including putting model output in front of people to correct rather than having them start from scratch - Build and maintain integration surfaces for machine clients — automated processes that read and write over authenticated service endpoints - Deploy and operate on AWS (object storage, CDN, DNS, identity, load balancing), and lead debugging when something breaks across those layers - Do the performance work: query profiling, indexing, caching, and the aggregate views that keep reporting responsive - Work directly with the operations team — the people using what you build are down the hall, and their workflow constraints are the requirements WHAT WE’RE LOOKING FOR - Strong Python in production, with FastAPI or a comparable framework, and real PostgreSQL depth: schema design, indexing, query performance, migrations - Enough front-end capability to own the client as well as the server — React and TypeScript. You need not be a design specialist, but you should ship a usable internal tool without waiting for one - API design judgment: versioning, idempotency, batch endpoints, and failure semantics that return per-item results rather than failing everything - Data-integrity instincts. You should be able to explain why deriving a value beats storing a second copy of it, and why a client-generated identifier solves a retry problem - Ability to debug across boundaries — application, database, network, cloud service — and to isolate a fault to a layer before proposing a fix - Fluent use of AI tools — Claude, Claude Code, Cowork or equivalent — as a normal part of how you build. We care that you ship well with them and that you review what they produce: you own the code that lands, whoever or whatever drafted it - Comfort with ambiguity and ownership: choosing an approach, writing down why, and living with the consequences - Clear technical writing NICE TO HAVE - Serving or integrating model inference in a production path — batching, latency, versioning, handling low-confidence output - Annotation, labelling, or any human-in-the-loop review system - Clients that must tolerate unreliable connectivity and reconcile cleanly afterwards - Media or sensor data at scale — video pipelines, large binary object storage, structured time-series recording formats - Infrastructure as code, CI/CD, or observability — we are light here and would welcome someone who raises the floor - Tooling that exposes internal data to language models

Location: Bangalore; EU Remote Workplace: Remote About the role We’re looking for an experienced Backend Software Engineer with 4+ years of experience to help drive and evolve our product. Strong hands-on experience with Go (Golang) is a must for this role. Our technology is new and rapidly evolving, so you’ll be an early contributor with meaningful impact on the architecture while solving complex technical challenges at scale. What you’ll do - You'll design, extend and optimize a large-scale, highly scalable, and fault-tolerant system that handles large graph datasets at enterprise scale. Our product is processing billions of events from hundreds of thousands of endpoints in real-time with sub-second latency requirements - You'll architect and implement Security products to protect customers data - You'll be solving real-world scaling problems that require thorough performance analysis and troubleshooting skills - Strong hands-on experience with Go (Golang) is required. You have built and shipped production backend services using Go. - You get to work with a modern and constantly evolving microservices-based software stack which includes Go, Kubernetes, BigTable, BigQuery, Spanner, Redis, Docker, Etcd - You'll write secure-by-design hardened software that must withstand real-world attacks, while processing untrusted data and communicating with hundreds of thousands of endpoints over the internet Who you are - You have a strong track record in building backends that are actively used at scale. You contributed significantly to and extended their architecture. - You have experience developing large applications in Go. - You used databases at a very large scale. Knowledge of the GCP services is a plus - You have experience with profiling and optimizing the distributed code that uses large databases and streaming platforms.  - If you have experience in building connectors that integrate at API level with SaaS applications commonly used in the enterprises let us know - You have hands-on experience with microservices and Kubernetes - You have excellent verbal and written communication skills in English and you can be available to frequently communicate with distributed teams in Europe and US - You thrive in fast paced environments tackling ambiguous challenges and you enjoying shipping with velocity - You have a customer centric mindset and enjoy direct feedback from customers - You are based in Bangalore for the India location (Remote for EU based talent) Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Можно работать удалённо. Зарплата в валюте.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're building Anthropic's search platform team to create scalable, efficient search capabilities that power Claude's ability to access and retrieve information. In this role, you'll design and implement core search systems from the ground up. Responsibilities: Work with a small, senior team of engineers and researchers to build Anthropic’s search platform from scratch Establish metrics and tooling to measure and improve search quality Enhance search algorithms and indexing mechanisms to boost search accuracy and efficiency You may be a good fit if you: 5+ years building complex distributed systems in production Solid grasp of search fundamentals: indexing, retrieval, ranking Strong coding skills in Python, Go, Java, or similar languages Hands-on experience with high-volume data processing architectures 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: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies. Fivetran is looking for a high-performance, experienced engineer to be a part of a team of Site Reliability Engineers. You will be working closely with engineering teams, product managers, as well as support and sales engineers to build the future of the Fivetran Data Platform Reliability. As a member of the Site  Reliability Engineering team, you will take ownership of the overall performance and reliability of Fivetran’s infrastructure, the robustness of the deployment pipeline, as well as timely and effective incident response and resolution. You will take responsibility for the growth and stability of Fivetran’s infrastructure, and be a key player driving effective incident response and overall issue avoidance. This is a full-time position based out of our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. What You’ll Do Responsible for ongoing reliability and robustness of Fivetran’s production infrastructure by monitoring availability, capacity, and throughput. Evolve systems by adding reliability into our product roadmap Coordinate the re-prioritize or fix critical bugs for support or sales requirements as needed Make recommendations to production infrastructure by interfacing with engineering to ensure 100% availability Ensure scalable artifacts deployment to all environments by automation scripts Constantly monitor infrastructure vulnerabilities and remedy them by working with the security team Skills We’re Looking For Expertise in  managed Kubernetes (EKS, AKS and GKE) Expertise of Cloud Platforms and related tooling: AWS, Azure, GCP, Terraform, Ansible, Buildkite, Pulumi and ArgoCD Expertise in Python Programming. Expertise with Linux operating systems internals and administration Expertise with cloud networking like VPNs, Privatelinks, and Private Service connect (GCP) Experience with databases such as PostgreSQL Bonus Skills​ Bonus if you have Java, GO Programing #LI-HYBRID #LI-EM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $232,338 — $290,422 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The Team: The IAM Team is a net-new, vanguard group that will own, implement, and drive DRW’s comprehensive identity capabilities, aligning them to evolving business requirements. This dedicated group collaborates with stakeholders to advance agentic identity, enhanced authentication and authorization controls, and other emerging identity and security innovations, with potential expansion into customer identity and access management (CIAM). The Role: We are seeking an experienced Identity Engineer to own the delivery, operation, and continuous improvement of our enterprise authentication and authorization services. The IAM team is responsible for the security, compliance, availability, and user experience of these services; you'll execute implementations, participate in and influence design decisions, and ensure integrations across on ‑ prem and cloud environments meet SLAs and control requirements. The role focuses on SSO, federation, MFA, and secure access management. Key Responsibilities: Own, implement, and operate end-to-end enterprise authentication and federation solutions; drive architecture reviews and collaborate to influence design decisions , ensuring security, compliance, availability, and performance. Implement, configure, and support SAML 2.0, OAuth 2.0, OpenID Connect (OIDC), LDAP, and JWT ‑ based integrations. Integrate identity solutions with enterprise, third ‑ party applications, APIs, SaaS platforms, and custom web/mobile apps, including SSO, provisioning (SCIM/API), and secure API authentication. Implement MFA, adaptive authentication, fine ‑ grained access policies, and authorization models that meet security standards. Support identity lifecycle and directory integrations with IAM and directory services (e.g., Entra ID/Azure AD, Active Directory, ADFS) and provisioning systems. Troubleshoot authentication/authorization flows; perform root ‑ cause analysis, incident response, and performance tuning. Ensure compliance with security, audit, and regulatory requirements and support related assessments. Collaborate closely with security, infrastructure, application, and DevOps teams to deliver and operate identity services. Create and maintain runbooks, SOPs, operational procedures, and technical documentation. Required Qualifications: Strong written and verbal communication, stakeholder management, and cross ‑ team collaboration skills. 5+ years of experience in Identity & Access Management (IAM), or equivalent hands-on experience. Strong hands-on experience implementing and operating commercial identity platforms and enterprise identity services (Ping AIC and PingFederate preferred, or the ability to implement required features in Ping). Deep knowledge of SSO, federation, and authentication/authorization protocols (SAML 2.0, OAuth 2.0, OpenID Connect, JWT). Experience integrating with directory and lifecycle systems (Active Directory/LDAP, Azure AD/Entra ID, ADFS) and provisioning (SCIM/API). Practical experience with MFA, adaptive authentication, fine-grained authorization, and access policy enforcement. Strong troubleshooting skills across authentication flows, certificates, TLS, networking, and related infrastructure. Scripting/automation skills (Shell, Python, Go, PowerShell) and familiarity with IaC/CI-CD tools (Terraform, Ansible, or similar). Comfortable working in Linux environments and producing operational runbooks and technical documentation. Bonus Points: Experience in banking or financial services (regulated enterprise environments). Hands ‑ on cloud experience (AWS, Azure/Entra, or GCP) and container platforms (Docker, Kubernetes). Experience with API security, OAuth/OIDC for APIs, and zero ‑ trust architectures/use cases. Practical experience with CIAM or customer identity projects. Ping Identity certifications or other security/identity certifications. Observability and monitoring experience for identity services (Prometheus, ELK, Splunk, etc.) The annual base salary range for this position is $150,000 to $200,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-LD1]

Location: Los Angeles, USA Riot's Enterprise Technology organization ensures Rioters have what they need to unlock their full potential by providing expertise on cybersecurity to protect the experience of millions of players, offering corporate solutions to increase productivity and guide teams on complex data privacy regulations. The Finance Tech team is focused on modernizing and integrating financial systems, optimizing workflows, and ensuring long-term sustainability for Riot’s Finance Technology ecosystem. That’s where you come in: You will partner closely with Finance, Game Ops teams, and external vendors to implement best-in-class solutions, and drive technology, process and data maturity for this domain. As the Staff OneStream Application Engineer (Finance Tech ), you will be responsible for enhancing Riot’s OneStream platform: establishing best practices focusing on enhancements, architecture, performance, data management, and integrations. This role will ensure that OneStream is scalable, well-integrated, and aligned with business needs. The ideal candidate has a strong technical background and a proven track record of delivering business value through enterprise performance management (EPM) solutions. They developed scalable processes and led global EPM implementations and integrations across diverse financial systems. The role will report to the Manager, Application Engineering (Finance Tech) and work closely with a Junior OneStream Engineering team member. Responsibilities: Solution Design & Implementation Design, configure, and deploy scalable and sustainable OneStream solutions to meet evolving business process, performance, and reporting requirements Serve as SME on OneStream capabilities, including MarketPlace solutions, platform enhancements, and upgrade release planning Create and maintain technical documentation, including data flow diagrams, cube design specs, integration mapping, and UAT to support ongoing system lifecycle management Architecture & Performance Optimization Define and implement best practices for metadata management, cube design, security modeling, and system performance tuning. Perform regular performance tuning, testing and debugging, data load optimization, and system audits to maintain platform efficiency and integrity Support OneStream product roadmap planning in collaboration with business system owners and other Enterprise system architects Administration & Governance Establish best practices and support OneStream administration activities for development, metadata & hierarchy management, security modeling, and cube design Develop and support change management process to ensure standardized practices, user training, and adoption Coach and mentor technical and non-technical users in the effective use of OneStream tools and workflows Required Qualifications: Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, Finance, Accounting, or a related field — or equivalent practical experience 8+ years of hands-on experience with EPM platforms (e.g. Oracle Hyperion, SAP BPC), including solution architecture, system and process design, and deployment. 4+ years of experience with hands-on implementation and development experience with OneStream at a global scale, including architectural design, security modeling, and performance tuning best practices Deep experience with Master Data Management (MDM) in financial systems, including managing key dimensions, maintaining hierarchies, overseeing approval workflows, and ensuring metadata consistency across OneStream and connected systems (e.g. Workday, Oracle, Coupa) High proficiency in writing business rules with SQL & VB.Net, designing Dashboard XFBR rules, dynamic calculations, and member formulas Experience in developing and managing complex integrations with other domains such as Procurement/Coupa, Expense Management/Concur, HR/Workday etc. Proven ability in enterprise-wide hierarchy management and designing new OneStream data cubes that blends multiple data sources Expertise in implementing and maintaining dashboards, Cube Views and using XFGetCell and other OneStream reporting capabilities Desired Qualifications: Certified OneStream Professional (OCP) Lead Architect Strong understanding of GAAP, IFRS, and regulatory audit compliance Experience with implementing OneStream AI capabilities and deploying MarketPlace solutions Experience with integration platforms (Workato, MuleSoft, Dell Boomi, etc.). Experience with tech intensive, fast change environment, and transformation projects For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: San Francisco; New York City Perplexity Computer is one of the defining products of the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action, and the Agent Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks. As every major breakthrough in AI models creates new possibilities, the Agent Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, determine where they create real user value, and transform them into reliable, scalable, high quality experiences for both users and agents. This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation. Tech Stack: Python | Go | Rust | PostgreSQL | DynamoDB | AWS | TypeScript 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 - Evaluate frontier models against real user tasks, identify useful behaviors and failure modes, and turn the most promising advances into production agent systems. Own the lifecycle from rapid prototyping and evaluation through launch, monitoring, and iteration. - Improve agents’ ability to plan, use tools, manage context, recover from errors, and complete long-running tasks reliably. - Apply state of the art ML and LLM techniques to design scalable agent capabilities such as skills, plugins, artifact generation, tools integrate and use, auto-research, and multi-agent collaboration. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for real-world tasks. - Own agent behavior and capabilities end-to-end, from user-facing products and interfaces to backend services. Define offline and online evaluations for task completion, correctness, safety, latency, cost, and user satisfaction. Iteratively improve across models, prompts, harnesses, and products for different problem spaces. - Build secure, observable, and reliable agent systems, including permissions and safeguards for sensitive actions. Develop tracing, replay, and monitoring infrastructure that makes agent failures reproducible and actionable. - Collaborate closely with PM, Data Science, Research, to identify high-impact opportunities in understanding and validating emerging model capabilities, and turn complex agent behaviors into simple, reliable product experiences. - Apply relevant advances in models, inference, evaluation, and agent architecture when they produce measurable improvements in production performance. Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership. QUALIFICATIONS - Typically 6+ years of professional software engineering experience, with a track record of building and owning robust AI-powered, large-scale, user-facing or data-intensive products. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply. - Strong software engineering fundamentals, with experience building and operating AI/ML products, backend services, or distributed systems at scale. - Experience owning the AI product lifecycle, including data analysis, rigorous evaluation, production monitoring, and iterative improvement. Able to define metrics and use production data and user feedback to guide decisions. - Practical experience in one or more relevant areas, such as agent harnesses, tool use, context engineering, model evaluation, browser automation, or long-running task execution. - Strong product judgment and execution: you can translate ambiguous user needs into applied AI or ML problems and ship durable solutions with measurable user impact. - Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors. NICE TO HAVE - Experience with LLM context engineering or harness engineering, experience with subagents, coding assistants, long-running or autonomous task execution. - Deep familiarity with the strengths and limitations of current model families across reasoning, tool use, context management, and long-horizon tasks. - Experience building agent permissions, safeguards, evaluation infrastructure, or production observability systems. - Experience with mid-training, post-training, or reinforcement learning for frontier or open-source models, along with a strong understanding of model strengths and limitations across reasoning, tool use, context management, and long-horizon tasks. - AI/ML research experience demonstrated through publications, open-source contributions, or other meaningful research impact. - Time spent at a fast-growing startup or on a high-ownership engineering team.

Location: San Francisco; New York City Perplexity Computer is one of the defining products of the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action, and the Agent Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks. As every major breakthrough in AI models creates new possibilities, the Agent Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, determine where they create real user value, and transform them into reliable, scalable, high quality experiences for both users and agents. This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation. Tech Stack: Python | Go | Rust | PostgreSQL | DynamoDB | AWS | TypeScript 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 - Evaluate frontier models against real user tasks, identify useful behaviors and failure modes, and turn the most promising advances into production agent systems. Own the lifecycle from rapid prototyping and evaluation through launch, monitoring, and iteration. - Improve agents’ ability to plan, use tools, manage context, recover from errors, and complete long-running tasks reliably. - Apply state of the art ML and LLM techniques to design scalable agent capabilities such as skills, plugins, artifact generation, tools integrate and use, auto-research, and multi-agent collaboration. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for real-world tasks. - Own agent behavior and capabilities end-to-end, from user-facing products and interfaces to backend services. Define offline and online evaluations for task completion, correctness, safety, latency, cost, and user satisfaction. Iteratively improve across models, prompts, harnesses, and products for different problem spaces. - Build secure, observable, and reliable agent systems, including permissions and safeguards for sensitive actions. Develop tracing, replay, and monitoring infrastructure that makes agent failures reproducible and actionable. - Collaborate closely with PM, Data Science, Research, to identify high-impact opportunities in understanding and validating emerging model capabilities, and turn complex agent behaviors into simple, reliable product experiences. - Apply relevant advances in models, inference, evaluation, and agent architecture when they produce measurable improvements in production performance. Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership. QUALIFICATIONS - Typically 6+ years of professional software engineering experience, with a track record of building and owning robust AI-powered, large-scale, user-facing or data-intensive products. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply. - Strong software engineering fundamentals, with experience building and operating AI/ML products, backend services, or distributed systems at scale. - Experience owning the AI product lifecycle, including data analysis, rigorous evaluation, production monitoring, and iterative improvement. Able to define metrics and use production data and user feedback to guide decisions. - Practical experience in one or more relevant areas, such as agent harnesses, tool use, context engineering, model evaluation, browser automation, or long-running task execution. - Strong product judgment and execution: you can translate ambiguous user needs into applied AI or ML problems and ship durable solutions with measurable user impact. - Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors. NICE TO HAVE - Experience with LLM context engineering or harness engineering, experience with subagents, coding assistants, long-running or autonomous task execution. - Deep familiarity with the strengths and limitations of current model families across reasoning, tool use, context management, and long-horizon tasks. - Experience building agent permissions, safeguards, evaluation infrastructure, or production observability systems. - Experience with mid-training, post-training, or reinforcement learning for frontier or open-source models, along with a strong understanding of model strengths and limitations across reasoning, tool use, context management, and long-horizon tasks. - AI/ML research experience demonstrated through publications, open-source contributions, or other meaningful research impact. - Time spent at a fast-growing startup or on a high-ownership engineering team.

Location: Brazil; Peru; Sweden; Colombia; Argentina; Romania; Malta; Slovenia; Lithuania; Czech Republic; Estonia; Hungary; Mexico; Chile; Poland; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Pro Verifications team decides whether a business signing up on the Pro side is who it says it is, and whether we're allowed to onboard it. That means figuring out who actually owns the business, running it against sanctions and watchlists, and doing all of it fast enough that a real customer doesn't lose patience and leave. Every Pro customer hits these systems, so slow or wrong is very visible — and the team is early, which means whoever joins gets to decide how a lot of it works instead of inheriting it. How We Work - We deploy constantly, almost always behind a flag, in pieces small enough to pull back fast. - Security and compliance show up at design time, not as a gate at the end. - Every story is tied to a metric it's meant to move — if work isn't on the board, it doesn't get staffed. - At this level, you're expected to shape these standards, not just work inside them.   THE OPPORTUNITY As a Staff Engineer on Pro Verifications, you'll own the technical direction for how verification is built here — the architecture, the patterns other engineers work inside, and the calls about what we own versus what we lean on a vendor for. You'll be hands-on across the stack, drive out entire classes of recurring failure rather than patching them one at a time, and design the fail-closed and audit behavior that keeps regulators satisfied. This is a high-impact, hands-on technical leadership role for engineers who've built where being wrong has real consequences, and who want to shape a system that stays fast, safe, and defensible as it grows. - Set the shape of the verification services and their contracts across the KYC/KYB flow. - Decide how we abstract KYC and KYB vendors so a bad provider day doesn't turn into an outage. - Design fail-closed behavior and audit trails that hold up under regulatory scrutiny. - Identify the classes of failure that keep recurring and remove them for good. - Write and drive architecture decisions (ADRs), and hold the line on security and compliance at design time, not as a late gate. - Mentor and raise the bar for senior engineers through design reviews, code, and direct feedback. - Be measured on whether verification gets faster, more of it decides itself, fewer decisions are wrong, and the systems stay up — and on whether the team got stronger for you being on it.   WHAT YOU BRING - Around eight years building and running production systems, with a track record of owning a domain's technical direction, not just delivering inside one. - Deep, fluent expertise in Rust, with the versatility to work across TypeScript and React where verification meets the customer. - You've set architecture other people build on, and it held up — you can point to specific classes of failure you designed out, not just incidents you fixed. - You've made teams faster through patterns, tooling, or mentoring — engineers around you got better and shipped more because of calls you made. - You've built where being wrong had real consequences: compliance, payments, security, or anywhere a bad call costs more than a rough user experience. - Strong on distributed systems, service contracts, and secure design — you've integrated third-party APIs that couldn't be trusted, with real timeouts, retries, idempotency, circuit breakers, and backup paths that actually get tested. - Comfortable with, or able to quickly ramp on, gRPC, Temporal, Docker, Kubernetes, Terraform, MySQL/MariaDB, Redis, and GitLab CI.   NICE TO HAVES - Direct experience with KYC, KYB, or fraud work, including integrating providers like Trulioo, Persona, or ComplyAdvantage. - Comfort building with AI in the loop. - Time spent in crypto, fintech, or another space regulators pay close attention to.         Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Staff or Senior Staff Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects that span multiple Product Engineering teams and product lines. You'll work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers.   Product Engineering covers a lot of ground, and we're looking for engineers across multiple domains — backend, full stack, and AI. We want people who have built great products across consumer, enterprise, and everything in between, and who are excited about building the future of application layer and genAI products. You'll build both the surfaces where lawyers meet Harvey — web, mobile, and embedded experiences in Word, Outlook, and Slack — and the agentic capabilities that power them.   This role can be based in New York City or San Francisco, with a hybrid schedule of three days a week in office.   WHAT YOU'LL DO - Bring AI to where our customers already work: build Harvey across every surface — web, desktop, mobile, and embedded experiences (Google Docs, MS Word, Outlook, and Slack), and API. - Lead large, high-priority projects that span multiple teams, and define the technical bets we make over the next several quarters. - Find the problems that are business critical, prioritize ruthlessly, and make the big tradeoff calls without slowing anyone down. - Build AI-platform and AI-native capabilities — the agent harness, agent building (custom agents and workflows), tool calling, retrieval, memory and context management, personalization and tone, the thread experience, and the evals that turn model quality into product quality. - Ship the systems that make Harvey work: retrieval over petabyte-scale document corpora, ingestion growing 10x every six months, data collection across 50+ jurisdictions, and government-level security for the world's most sensitive matters. - Ship across the stack — React and TypeScript alongside Python and Postgres — architecting intuitive UX and robust APIs for streaming results, long-running processes, and complex tool-calling workflows. - Mentor senior and staff engineers, and raise the bar for how the whole org builds.   WHAT YOU HAVE - 10+ YoE (post-BS/MS) in a product-focused software engineering role, operating at Staff level or above. - Depth in full stack, backend, or agents/AI — and enough range to be useful outside it. - Experience building scalable, extensible systems that support multiple product lines. - Track record of shipping highly intuitive products in fast-growing SaaS, strong attention to detail. - Experience with React, TypeScript, CSS (we use TailwindCSS), Python, or related. For agents/AI, proficiency in Python plus hands-on work building and shipping agentic systems — agent harnesses/loops, tool use, memory, and evals — not just calling LLM APIs. - You embrace AI in how you build: AI coding tools (Claude Code, Cursor, Codex, or similar) are a core part of how you ship, and you have sharp instincts for where they accelerate work and where they fall short. - A history of influencing and aligning engineers and leaders well outside your direct scope. - Strong programming skills and general Computer Science knowledge. - Grit — experience working at early-stage startups is a plus.   COMPENSATION $231,000 – $340,000 USD   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.   #LI-PM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Staff or Senior Staff Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects that span multiple Product Engineering teams and product lines. You'll work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. Product Engineering covers a lot of ground, and we're looking for engineers across multiple domains — backend, full stack, and AI. We want people who have built great products across consumer, enterprise, and everything in between, and who are excited about building the future of application layer and genAI products. You'll build both the surfaces where lawyers meet Harvey — web, mobile, and embedded experiences in Word, Outlook, and Slack — and the agentic capabilities that power them. This role can be based in New York City or San Francisco, with a hybrid schedule of three days a week in office. WHAT YOU'LL DO - Bring AI to where our customers already work: build Harvey across every surface — web, desktop, mobile, and embedded experiences (Google Docs, MS Word, Outlook, and Slack), and API. - Lead large, high-priority projects that span multiple teams, and define the technical bets we make over the next several quarters. - Find the problems that are business critical, prioritize ruthlessly, and make the big tradeoff calls without slowing anyone down. - Build AI-platform and AI-native capabilities — the agent harness, agent building (custom agents and workflows), tool calling, retrieval, memory and context management, personalization and tone, the thread experience, and the evals that turn model quality into product quality. - Ship the systems that make Harvey work: retrieval over petabyte-scale document corpora, ingestion growing 10x every six months, data collection across 50+ jurisdictions, and government-level security for the world's most sensitive matters. - Ship across the stack — React and TypeScript alongside Python and Postgres — architecting intuitive UX and robust APIs for streaming results, long-running processes, and complex tool-calling workflows. - Mentor senior and staff engineers, and raise the bar for how the whole org builds. WHAT YOU HAVE - 10+ YoE (post-BS/MS) in a product-focused software engineering role, operating at Staff level or above. - Depth in full stack, backend, or agents/AI — and enough range to be useful outside it. - Experience building scalable, extensible systems that support multiple product lines. - Track record of shipping highly intuitive products in fast-growing SaaS, strong attention to detail. - Experience with React, TypeScript, CSS (we use TailwindCSS), Python, or related. For agents/AI, proficiency in Python plus hands-on work building and shipping agentic systems — agent harnesses/loops, tool use, memory, and evals — not just calling LLM APIs. - You embrace AI in how you build: AI coding tools (Claude Code, Cursor, Codex, or similar) are a core part of how you ship, and you have sharp instincts for where they accelerate work and where they fall short. - A history of influencing and aligning engineers and leaders well outside your direct scope. - Strong programming skills and general Computer Science knowledge. - Grit — experience working at early-stage startups is a plus. COMPENSATION $231,000 – $340,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-PM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Spaces bring people, context, and agents together in one place. They help legal teams organize their work, collaborate securely, and use Harvey across the lifecycle of a matter or project. We’re looking for a Senior Staff Product Manager to own the core Spaces experience. You will shape how users create and navigate Spaces, bring in relevant context, run work, and return to Spaces as an ongoing part of their workflow. You’ll also lead the work required to make the product intuitive, polished, and broadly adopted across Harvey’s customers. This is a senior individual-contributor role for someone with excellent product judgment, strong design instincts, and the ability to turn an ambitious, ambiguous problem into a clear strategy and shipped product. WHAT YOU'LL DO - Own the core Spaces experience: Define the vision, strategy, and roadmap for how users organize and conduct their work in Spaces. - Simplify complex workflows: Create intuitive experiences and mental models across navigation, information architecture, resources, activity, and agents. - Drive product quality: Work closely with Design and Engineering to raise the craft bar, resolve friction, and make the end-to-end experience feel coherent, polished, and delightful. - Grow adoption: Improve onboarding, activation, entry points, defaults, and repeat usage. Establish clear success metrics and use data and research to guide iteration. - Lead product development end to end: Take problems from discovery and definition through launch, measurement, and continued improvement. - Stay close to customers: Spend meaningful time with law firms, in-house legal teams, and end users to understand how they work and translate their needs into opinionated product decisions. - Work across Harvey: Partner with adjacent product teams so Spaces fits naturally with the rest of the Harvey platform. WHAT YOU HAVE - 5+ years of product management experience, including meaningful ownership of a major user-facing product or core product experience. - A track record of building excellent B2B SaaS, productivity, workflow, collaboration, or knowledge-management products. - Strong product and design judgment, with demonstrated experience simplifying complex workflows or information architecture. - Experience taking products through both early definition and subsequent scaling, adoption, and refinement. - Strong growth instincts and experience improving activation, onboarding, engagement, or retention. - The ability to operate with high agency in a fast-moving, ambiguous environment and independently drive work from problem to outcome. - Deep customer orientation and the judgment to translate customer feedback into broadly useful product decisions. - Strong cross-functional leadership and the ability to influence Engineering, Design, GTM, and other partners. PREFERRED QUALIFICATIONS - Experience building multi-user workspaces or products involving sharing and collaboration. - Experience with enterprise complexity, including different user types, permissions, governance, or sensitive data. - Experience building AI-powered products or designing workflows involving AI agents. - Experience working at a high-growth technology company. COMPENSATION $230,000 - $310,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-ML1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai