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Location: Dallas, USA; New York, USA; Orlando, USA We are looking for a Senior Business Analyst with NetSuite experience to support the analysis, optimization, and evolution of business processes and systems. In this role, you will work closely with stakeholders, product teams, and technical specialists to gather requirements, define solutions, and ensure the successful delivery of business initiatives. You will play a key role in bridging business needs and technology capabilities, with a strong focus on NetSuite-based processes, system enhancements, integrations, and operational efficiency. This position is ideal for a specialist who enjoys working in a dynamic environment, managing complex requirements, and driving continuous business improvement. The estimated salary range for this position is USD 130,000 to 150,000 per year. The project focuses on enhancing business processes, improving operational efficiency, and evolving enterprise systems that support key organizational functions. The environment combines modern technology, experienced specialists, and a collaborative culture with minimal bureaucracy and openness to new ideas. Helping to oversee the design, manufacturing, and planning of product marketing and promotion strategies Providing management with analyses and reports, and responding to questions and requests from management Specifying and overseeing the research needed to determine customers' needs and preferences Reviewing and adjusting inventory levels and production schedules to maintain product availability 4+ years of business analysis or related experience 3+ years of experience working with software products 2+ years of experience with NetSuite Understanding of business operations, purchasing, inventory management, planning, and finance is preferred Knowledge of business and management principles and practices Experience managing a team backlog, breaking down requirements, writing user stories, and validating that customer needs are met Project management and business analysis skills Strong negotiation, organizational, management, analytical, and interpersonal skills Experience with Agile processes and tools, such as Scrum, Kanban, and/or the Scaled Agile Framework (SAFe), and Jira Experience developing user interface drafts Business process modeling experience, including knowledge of relevant notations and methodologies Professional certifications (CCBA, CBAP by IIBA, PMI-PBA by PMI, CPRE by IREB)

Location: London, UK We are looking for a Senior Business Analyst with NetSuite experience to support the analysis, optimization, and evolution of business processes and systems. In this role, you will work closely with stakeholders, product teams, and technical specialists to gather requirements, define solutions, and ensure the successful delivery of business initiatives. You will play a key role in bridging business needs and technology capabilities, with a strong focus on NetSuite-based processes, system enhancements, integrations, and operational efficiency. This position is ideal for a specialist who enjoys working in a dynamic environment, managing complex requirements, and driving continuous business improvement. The project focuses on enhancing business processes, improving operational efficiency, and evolving enterprise systems that support key organizational functions. The environment combines modern technology, experienced specialists, and a collaborative culture with minimal bureaucracy and openness to new ideas. Helping to oversee the design, manufacturing, and planning of product marketing and promotion strategies Providing management with analyses and reports, and responding to questions and requests from management Specifying and overseeing the research needed to determine customers' needs and preferences Reviewing and adjusting inventory levels and production schedules to maintain product availability 4+ years of business analysis or related experience 3+ years of experience working with software products 2+ years of experience with NetSuite Understanding of business operations, purchasing, inventory management, planning, and finance is preferred Knowledge of business and management principles and practices Experience managing a team backlog, breaking down requirements, writing user stories, and validating that customer needs are met Project management and business analysis skills Strong negotiation, organizational, management, analytical, and interpersonal skills Experience with Agile processes and tools, such as Scrum, Kanban, and/or the Scaled Agile Framework (SAFe), and Jira Experience developing user interface drafts Business process modeling experience, including knowledge of relevant notations and methodologies Professional certifications (CCBA, CBAP by IIBA, PMI-PBA by PMI, CPRE by IREB)

Location: Kyiv, Ukraine; Uzhhorod, Ukraine; Lviv, Ukraine; Odesa, Ukraine; Vinnytsia, Ukraine; Chernivtsi, Ukraine Are you interested in technical content around AI and machine learning? Label Your Data is looking for a Content Writer to create high-quality content for our blog, social media, and newsletter. You’ll help us build authority in the ML space as a specialist AI training data provider. You’ll work closely with our Head of Content Marketing, who will provide context, priorities, feedback, and support while giving you room to take ownership of your work and contribute your own ideas. What you will do: Write SEO/AEO blog articles on AI/ML, data annotation, and related technical topics; Create content for our social media channels and newsletter; Monitor AI/ML news and industry trends, and suggest relevant content ideas; Conduct in-depth research to produce technically accurate, audience-focused content; Develop visual concepts and prepare clear design briefs for blog articles and social media posts; Own content delivery end-to-end and take responsibility for its quality across blog and social media. What we need: Advanced English; 3+ years of B2B content writing experience, ideally in tech or AI; Prior experience writing about AI/ML, data science, or related technical topics; Solid understanding of SEO/AEO principles and best practices; Strong research skills and the ability to explain complex topics clearly; Strategic content thinking: the ability to understand the audience, purpose, angle, and business goal behind each piece before writing; Ability to connect audience challenges with Label Your Data’s expertise and how our team can help, rather than simply explain a topic broadly; Responsible use of AI writing tools with rigorous human editing and fact-checking; A proactive, self-organized, and results-oriented mindset, with a willingness to suggest ideas, take on new formats, and grow beyond assigned tasks; Basic Figma experience would be a plus. We offer: Competitive monthly rate in USD; Business hours; Opportunity to work fully remotely; Greenhouse conditions for self-development; Inclusive international environment; Supportive and collaborative team; Paid intensive training and trial period; Responsive management interested in your growth and long-lasting cooperation. If you take ownership of your work, enjoy learning, and want to grow as a content specialist in the AI/ML space, we’d love to hear from you. 📌 Important: Please share no more than 3 portfolio pieces you’re most proud of and that best reflect our content expectations. Keep them organized in one place (no long link lists, multi-folder submissions, or published website links). Avoid surface-level pieces that start with a generic H2 “What is...?” explainer — we want to see your original thinking, audience understanding, and approach to shaping content. *We celebrate diversity and are proud to be an equal opportunity employer.

Обязанности: Collaborating with the marketing manager, internal teams, clients and partners on marketing strategy. Helping identify marketing trends and key opportunities for innovation. Learning and working with various types of software for digital marketing. Working closely with sales and marketing department. Creating marketing materials such as white papers, case studies, and presentations. Giving presentations. Maintaining a marketing database. Providing administrative support to the marketing and sales team. Preparing, formatting and editing a range of documents. Understanding company product and brand. General office duties. Creating and interpreting a variety of reports. Organizing market research. Analyzing questionnaires and other forms of feedback. Updating social media accounts.

Location: Los Angeles, USA Riot Anti-Cheat Engineers are versatile and passionate about their craft. We understand the player impact of cheating in games and are focused on setting the highest bar for the integrity of multiplayer games. We relish the opportunity to work with low-level systems and take pride in developing creative, rigorous defenses against adversaries. At the most fundamental level, our goal is to promote the best player experience by protecting the legitimacy of their favorite games. As a Senior Anti-Cheat Engineer , you will be responsible for the ongoing development and evolution of Vanguard Anti-Cheat’s client services. With versatility across user-mode, kernel-mode, and obfuscation tooling services, you’ll work primarily in C/C++ and x86/x64 assembly to build new anti-cheat features, improve the security and reliability of existing systems, and debug complex behavior across the Windows stack. You’ll also reverse engineer emerging cheats, including packed and obfuscated binaries, and rapidly translate those findings into practical detections, mitigations, and preventative controls. You'll be based in our Santa Monica, CA office and work in a hybrid (work-from-home and in-office) environment. You'll report to the Sr. Manager of Anti-Cheat Engineering. Responsibilities: Identify and drive high impact anti-cheat features from ambiguity to production across user-mode, kernel-mode, and obfuscation tooling surfaces Move fast to turn emerging threats into resilient detections or preventative countermeasures that can be safely deployed with agility at scale. Think ahead to design and develop capabilities that anticipate the cheaters next move or eliminate common abuse vectors entirely Reverse engineer highly evasive cheats and operating system manipulation techniques Investigate and resolve complex compatibility issues in highly opaque environments Support game teams directly in understanding cheating ecosystems and integrating Anti-Cheat Required Qualifications: Proficient in C/C++ and x86/x64 assembly Experience building and debugging low-level, security-sensitive systems Strong understanding of Windows process internals, including process and thread lifecycles, virtual memory, handles and objects, security contexts, executable image formats, DLL loading, and the Windows loader Hands-on reverse engineering experience, including analyzing packed, protected, or obfuscated binaries and identifying techniques used to conceal or manipulate runtime behavior Practical understanding of the Windows kernel and driver model, with demonstrated experience developing, debugging, and maintaining production grade kernel-mode drivers. Desired Qualifications: Hands-on experience within cheat-development or game-security research communities, with practical knowledge of modern cheat techniques and anti-cheat evasions Familiarity with advanced evasion techniques involving hypervisors, DKOM, EPT manipulation, vulnerable drivers, or hardware-assisted cheats Knowledge of runtime integrity verification, behavioral detection, client attestation, and other signature-less anti-cheat techniques For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! 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 Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Supply is responsible for knowing everything happening in the compute market: who's building, who's buying, and on what terms. This role owns a specific and fast-moving slice of that map — emerging clouds and international markets — and owns the full relationship lifecycle in that space, from first outreach through to closed terms. RESPONSIBILITIES - Build and maintain a real-time picture of the emerging cloud and international compute landscape — who's active, what they're building, and what terms are available - Own the full partnership lifecycle in this space — from identifying and sourcing new providers, to negotiating terms, to ongoing relationship management - Develop and manage relationships across a broad set of emerging and international providers, from account reps up through leadership - Identify, structure, and help close opportunities where Baseten can move quickly to secure favorable capacity terms - Define compelling value propositions tailored to different types of providers, rather than a one-size-fits-all pitch - Partner closely with others in the team already covering this space to build out a durable, well-organized intelligence and relationship function - Collaborate with the broader Supply and Deals functions to bring opportunities to the table and support negotiation when it's time to close REQUIREMENTS - Equal parts relationship-builder and operator — you can open a door and also drive it all the way to a closed deal, not just make the introduction - Background as a broker or market participant in the compute/cloud space is a plus, though we're looking for relationship-builders, not high-pressure sales types - Creative-thinkers with the ability to build strong rapport with all types of people at all levels of an organization - Comfortable with a role that offers strong equity upside in exchange for being early and building something from scratch, versus a purely cash-heavy comp structure elsewhere in the market - Self-directed and high-energy; thrives operating with real autonomy in an ambiguous, fast-changing market NICE TO HAVE - Existing network within emerging cloud providers, GPU brokers, or international compute markets - Prior experience at a neocloud, GPU marketplace, or compute brokerage - Experience building channel or ecosystem partnership programs at scale BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: United States ClinChoice is a global full-service CRO committed to professional growth and a quality-driven “one-team” culture. We are seeking a Senior Statistical Programmer to join our in-house team and support projects across a diverse client portfolio, including pharmaceutical, biotechnology, medical device, and consumer health companies of varying sizes. We are seeking a highly skilled Senior Statistical Programmer to lead statistical activities for clinical trials. This role requires hands-on statistical expertise, strong communication skills, and the ability to independently lead projects while collaborating closely with cross-functional teams. Join our team: you can be part of making a difference in peoples' lives and experience a fulfilling and rewarding career! Main Job Tasks The Senior Statistical Programmer is a delivery-focused role responsible for leading and supporting aspects of the programming effort to deliver technical programming and information components of a project. The position requires strong technical skills, thorough knowledge of the industry, and demonstrated experience leading statistical programming activities and providing technical guidance to other programmers . The individual should be able to independently perform programming tasks, oversee programming deliverables, and effectively collaborate with cross-functional teams and external vendors. Responsibilities Programing for clinical trials: Program and validate derived datasets, tables, figures, listings. Process data from the external sources. Perform ad hoc exploratory analyses for publications and programming support other functions of Research and Development or other organizations. Oversee programing work/deliverables from CROs. Contribute to the design/implementation/review of Case Report Form, Data Transfer Specification, Statistical Analysis Plan, SDTM/ADaM Specification documents, Define packages. Electronic submissions: Program and validate CDISC compliant deliveries for the electronic submissions. Support in the creation of supporting documentation for submissions. Project Management: Ensure programming deliverables are on time and of high quality. Help managing internal contractors and external vendors. Standards and Guidelines: Participate in development of departmental working instructions and guidelines. Help in creation of enhanced functions/macros and utilities. Qualification & Experience Bachelor or Master degree in Computer Science, Mathematics, Engineering, Medical or related discipline. BS with more than 5 or MS with 3 years of experience in statistical programming (SAS, R) in the pharmaceutical industry. Working knowledge of SAS and its various components. Knowledge of R programming in clinical trials Familiarity of the drug development process. Strong SAS and SAS Macro language skills. R programming skils in clinical trials Strong knowledge of industry standards. Ability to work on data integrations (ISS and ISE). Strong oral and written communication skills. Ability to communicate details of the analysis to other team members with less technical experience. The Application Process Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step.  Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology.   The success of these core values is evidenced by our below industry average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. #LI-TT1 #LI-Remote #senior #permanent

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE This is a sourcing-first role, not a deal-closing role. Baseten needs someone who can build and maintain deep relationships across the long tail of data center and powered land providers, well beyond the handful of large, well-known players that everyone in the market is already competing for. This coverage area is a key differentiator for Baseten's broader compute strategy, so we're looking for the best possible person in this specific lane rather than a generalist. You'll own the full lifecycle of a sourcing relationship — from first outreach to ongoing management — not just the introduction. WHAT YOU'LL DO - Build and maintain a comprehensive map of data center and powered land opportunities, with a particular focus on the long tail rather than the handful of major, oversubscribed players - Own the full sourcing lifecycle for each relationship — from identifying and reaching out to new providers, through negotiation support, to ongoing relationship management — not just the initial introduction - Develop and manage sourcing relationships across neoclouds, hyperscalers, brokers, and independent operators - Quickly and independently evaluate new sites and spaces to determine fit and priority - Prepare business cases and cost analysis to support new data center and powered land opportunities, partnering with Finance where needed - Maintain accurate records of suppliers, contracts, and commercial terms so the team has a reliable source of truth - Protect Baseten's standing relationships carefully — this role requires real judgment about not burning bridges with the very providers we depend on elsewhere - Feed market intelligence back into the broader Supply team, including regular updates on pricing and market developments, to support deal strategy and prioritization WHAT WE ARE LOOKING FOR - A sourcer at heart, not a dealmaker — someone who thrives on building and maintaining a large network of long-tail relationships rather than closing individual transactions - Strong project management instincts — you own the full lifecycle of a relationship, not just the handshake - Background in neocloud, hyperscaler, or brokerage environments where data center or land sourcing was part of the role - Ability to independently assess and prioritize opportunities without heavy hand-holding - Comfortable with commercial analysis — building business cases, tracking costs, and engaging in contract-level conversations with suppliers - Judgment and discretion in relationship management, given the sensitivity of sourcing from providers Baseten also depends on in other contexts NICE TO HAVE - Existing relationships across the data center and powered land brokerage community - Familiarity with the broader GPU/compute supply landscape and how it intersects with power and site availability - Experience managing supplier contracts or commercial records across multiple vendors or regions BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE This role owns Baseten's relationships and market intelligence across the hardware and chip layer of the compute stack: NVIDIA directly and key OEM partners such as Dell, Lenovo, Pegatron, and Supermicro. As Baseten's compute strategy increasingly depends on hardware access and terms, this role is central to keeping Baseten ahead of the market. RESPONSIBILITIES - Build and maintain relationships across NVIDIA and key OEM partners (e.g. Dell, Supermicro) - Track market intelligence on hardware availability, roadmaps, and terms to keep Baseten informed and strategically well-positioned - Support deal structuring and negotiation in partnership with Baseten's deal-making function - Work closely with Infrastructure and Hardware Platform engineering teams to ensure consistent, high-quality provider relationships and engineering partnerships - Represent Baseten credibly across senior relationships in the hardware ecosystem, escalating to company leadership when strategically valuable REQUIREMENTS - Existing relationships and credibility within the NVIDIA, OEM, and HPC ecosystem - Strong relationship-management instincts, with the judgment to know when to bring in senior leadership for maximum impact - Comfort operating in a fast-moving, high-stakes market where hardware access can be a major competitive differentiator - Collaborative style — this role depends on close coordination with engineering counterparts, not just external relationship-building NICE TO HAVE - Direct experience working at or closely with NVIDIA, a major OEM, or HPC - Familiarity with the broader AI compute and inference market BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr. Principal Engineer, Data & Machine Learning San Mateo, CA Why PlayStation Data & Intelligence PlayStation reaches more than 100+ million people. Behind those experiences is one of the largest consumer data estates in entertainment: tens of petabytes under management and trillions of telemetry events a year, powering personalization, experimentation, partner analytics and enterprise decisions across the company. We are in the middle of a multi-year shift in how that data creates value. Today intelligence often arrives after the moment has passed. Our goal is a connected intelligence layer where trusted context about players, content, partners and the business is built once, reused everywhere, activated at the point of decision, and improved by evidence about what happened next. That includes serving AI models and agents with the same governed meaning, quality and permissions we give to people. This role helps shape how that is built across PlayStation. The Role We are looking for a Senior Principal Engineer, Data & Machine Learning to serve as chief architect for our Data & Intelligence organization and as the senior technical authority for how SIE builds, reuses and activates trusted data and intelligence. This is one of SIE’s most senior individual-contributor roles. You will report directly to the Vice President of the organization, sit on the leadership team alongside the Sr. Directors who run our two delivery portfolios, chair our architecture review forum, and lead a community of Principal Engineers anchored to the major architectural seams. You will have no direct reports by design; your leverage comes from the architecture, the standards and the decisions the whole organization builds against. This is a hands-on role. You will author architectures and reference implementations, prototype uncertain approaches, review the designs and code that matter most, and step in directly when a technical problem puts an important outcome at risk. What You’ll Own You will set the architecture for, and drive reuse across, the initiatives that define the next three years of data and intelligence at PlayStation: A single, reusable understanding of the player. The context, lifecycle and lifetime-value intelligence that powers experiences and decisions across PlayStation, built once and reused rather than rebuilt per use case. Content and game understanding. Intelligence about titles, experiences and how players engage with them, connected through engagement and content graphs to improve discovery, personalization and new AI experiences. Creator and partner intelligence. Reusable title, launch and lifecycle intelligence available to partners at the point of decision, before launch, while live and after. Unified measurement. Experimentation, attribution and causal measurement so the company knows what changed an outcome, by how much, and what to do next. Activation. Real-time signals, activation data products and APIs that deliver trusted context into the systems that personalize and act. Semantic and conversational intelligence. A shared layer of business meaning and metrics that people, analytical tools and AI agents can query and trust. Enterprise decision data. Decision-grade finance and supply-chain data that accelerates transformation programs across SIE. Trusted foundations and golden paths. Data contracts, certification, lineage, unified events and standard publish-to-consume paths, with trust designed into the lifecycle; and launch data readiness so priority launches have their signals and measures from day one. What You’ll Do Translate our multi-year Data & Intelligence strategy into a coherent technical strategy and target architecture, with clear principles for trusted data products, ML systems, shared intelligence, evaluation, activation and lifecycle management. Chair the architecture review forum: set its charter and cadence, publish decisions, track adoption and hold the line on non-conforming designs. Own the boundary decisions between platform capabilities built for reuse and domain delivery, and keep them stable. Define and ratify the standards teams build against: data contracts, golden paths, model evaluation and experimentation, observability, reliability, cost and lifecycle management. Lead the technical direction of our hardest cross-organizational initiatives; author proposals, reference designs and prototypes that establish a credible path from concept to production. Work directly with engineering and data science teams to remove critical blockers, so that decisions become usable capabilities rather than architecture on paper. Partner with security, privacy, legal, governance and responsible-AI teams to embed controls throughout the data and ML lifecycle, including the responsible use of proprietary data, third-party and foundation models, and externally hosted AI services. Identify duplicative capabilities, drive rationalization and retirement, and improve interoperability across SIE’s data and ML landscape. Advise senior executives on major technical investments, tradeoffs, emerging capabilities and long-term risk; produce the written recommendations that drive annual planning. Connect technical investment to named consumers, decisions and measurable outcomes; define how we measure adoption, reuse, time-to-action, quality, reliability, safety and cost. Lead a community of Principal Engineers; mentor Principal, Staff and Senior engineers, architects, ML engineers and data scientists. Represent SIE’s data and machine learning direction in senior leadership forums, partner organizations and, where appropriate, the broader industry. What We’re Looking For 15+ years in software, data or machine learning engineering, including 9+ years leading the architecture and delivery of large-scale, complex systems. A track record of authoring architectures, standards or platforms that were adopted across multiple organizations and stayed in use. Experience taking data, ML or decisioning systems serving tens of millions of consumers into production and operating them at scale. Experience chairing, or being the deciding technical voice in, an architecture review forum spanning multiple engineering organizations. Deep expertise in at least two of: reusable data products, semantic and metadata layers and data contracts; ML platforms, lifecycle management, evaluation and decisioning; real-time signals, distributed inference and activation platforms; experimentation and causal measurement; generative AI, retrieval and agentic systems; responsible AI, privacy and technical governance. Strong command of distributed systems, cloud, data architecture, APIs, security, reliability, observability and performance engineering. Demonstrated ability to influence senior executives, engineering and product leaders, and cross-functional partners without direct authority. Outstanding written communication. This role leads through documents. Experience mentoring Staff, Principal or similarly senior technical professionals. Master’s degree in Computer Science, Machine Learning, Engineering or a related discipline, or equivalent experience. Nice to Have Data and ML applied in gaming, entertainment, media, digital commerce or another large-scale consumer ecosystem. Personalization, recommendations, customer intelligence, content intelligence, experimentation or predictive decisioning at scale. Shared data or ML platforms serving multiple products and organizational domains. Feature, vector, graph, semantic or knowledge platforms; AI gateways and LLMOps. Experience translating research or emerging technology into production capabilities. Contributions to the field through open source, patents, publications, standards or conference talks. Why You’ll Love This Role Set the technical direction for data and intelligence across PlayStation. Own the architecture behind experiences reaching more than 100 million people. Report directly to the VP and sit on the organization’s leadership team. Build once, reuse everywhere: the mandate is to end duplicated work, not add to it. Work with strong Principal and Staff engineers, data scientists and product leaders across the company. Stay hands-on at the most senior IC level. #LI-KS1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $304,200 — $456,200 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a member of the Compute Strategy & Operations team, you will sit at the intersection of supply intelligence, demand forecasting, and cross-functional execution, turning a complex, fast-moving hardware market into a predictable, reliable foundation for our customers and internal engineering teams. This is not a purely analytical role. You will own the end-to-end capacity planning process: from translating customer commitments and growth forecasts into concrete supply requirements, to coordinating fulfillment across vendors, finance, and the infrastructure team, to building the systems that make all of this repeatable and scalable. When supply is constrained and tradeoffs are unavoidable, you are the person in the room who can model the options, make a clear recommendation, and drive alignment fast. You are a strong fit if you have operated at the intersection of strategy and execution before — someone who is equally comfortable building a capacity model in a spreadsheet and running a cross-functional war room when a customer deployment is at risk. EXAMPLE INITIATIVES - Demand-Supply Alignment Framework: Build and own the process that translates customer pipeline, signed commitments, and growth projections into a forward-looking GPU demand signal — so the team is never caught flat-footed when a customer scales faster than expected. - Constrained Allocation Playbook: Define the decision framework for how Baseten allocates scarce GPU supply across competing customers and regions, including escalation paths and tradeoff criteria for leadership. - Capacity War Room Ownership: Lead cross-functional response when a high-stakes capacity situation arises — coordinating across Sales, SRE, Finance, and Vendor relationships to resolve it with minimal customer disruption. - Strategic Briefings for Leadership: Produce clear, concise capacity health reports and scenario analyses for senior leadership, enabling confident decisions on customer commitments, vendor negotiations, and CapEx allocation. RESPONSIBILITIES - Own the capacity planning process end to end: intake, triage, prioritization, fulfillment tracking, and post-mortem learnings - Translate customer commitments, sales pipeline, and infrastructure growth targets into concrete GPU demand forecasts across regions, GPU types, and timelines - Partner with Finance to model capacity scenarios, evaluate new supply opportunities, and support CapEx decision-making - Work closely with the Capacity Acquisition team to align supply procurement with forward demand, flagging gaps and risks early - Coordinate cross-functionally across Sales, SRE, and Infrastructure teams to resolve capacity conflicts and ensure customer commitments are honored - Build and maintain the operational cadence that keeps capacity planning structured, visible, and free of ad-hoc Slack chaos - Develop reporting and dashboards that give leadership a real-time view of capacity health, utilization trends, and risk exposure - Identify recurring operational gaps in the capacity lifecycle and drive process improvements that reduce toil and improve reliability REQUIREMENTS - 5+ years of experience in strategy, operations, consulting, finance, or a similarly analytical and execution-oriented role - Demonstrated ability to own complex, cross-functional processes with multiple stakeholders and competing priorities - Strong quantitative and modeling skills — comfortable building demand forecasts, scenario analyses, and capacity models from scratch - Excellent communication skills, with a track record of distilling ambiguous situations into clear recommendations for senior leadership - High ownership mindset: you identify what is broken, build the fix, and follow through until it is working - Operates well under pressure and in ambiguous, fast-moving environments where the playbook does not yet exist NICE TO HAVE - Familiarity with GPU infrastructure, cloud platforms, or AI/ML ecosystem - Experience in a high-growth startup or Series B+ environment where operational processes were being built from scratch - Exposure to vendor or partner management, particularly in hardware, cloud, or infrastructure contexts BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten's Compute org is in hyper growth. As it scales, the systems and workflows that keep supply and demand balanced across our GPU fleet need to get more sophisticated, and this role exists to make sure they do. Compute sits at the center of how Baseten allocates, forecasts, and manages the capacity that powers every customer inference request. The team that supports this work, C3, runs on a mix of internal tooling, manual processes, and systems that haven't fully kept pace with the scale of the problem. This role exists to close that gap. You'll design, build, and ship AI-powered workflows that give the Compute and C3 teams real leverage, automating the manual, repetitive, and error-prone parts of the capacity lifecycle so the team can focus on judgment calls that actually need a human. We want someone who can walk in, audit what exists today, identify what's missing or broken, and start shipping fast. You know when to reach for an existing internal tool and when to build something custom in Claude Code. You think two to three steps ahead about how the thing you build today fits into the broader capacity systems architecture tomorrow. And you bring a point of view on our stack, on what we should be building, and on where AI can do something existing tooling simply can't. RESPONSIBILITIES - Ship AI-powered workflows for Compute and C3: build the agents and automations that give capacity analysts, ops leads, and engineers real leverage, off-loading manual and repetitive work like data pipeline cleanup, migration troubleshooting, and capacity investigation. - Get insights in front of the team: turn fleet utilization, allocation, and demand-forecasting data into the dashboards, alerts, and recommendations that C3 and Compute leadership actually act on. A build isn't done until the team is using it. - Audit the stack and generate your own backlog: Compute runs on a mix of tooling with real overlap and real gaps. Walk in with a point of view, identify what's missing or broken, and prioritize without waiting to be handed a roadmap. - Ship team-productivity workflows fast: triage asks from Supply, Demand, and C3, find the low-hanging fruit, and build it. A good week looks like an ops lead asking for something Monday and having it live by Wednesday. - Know when to go custom: not everything belongs in a point-and-click tool. Spin up bespoke AI-powered solutions in Claude Code when the problem calls for it, and make that call with judgment, not default. - Think in systems, not solutions: every workflow you build has upstream and downstream implications across Supply, Demand, and Engineering. Anticipate them, design for them, and don't create technical debt someone else has to unwind six months later. - Integrate third-party APIs and internal systems to sync events and information across disparate tools: ensuring data flows reliably between C3, the CRM, and the systems Compute depends on every day. - Document what you build: if people can't find it, understand it, or trust it, it doesn't matter how well it works. REQUIREMENTS - 3+ years of experience in AI/automation engineering, workflow automation, or a technical operations role, ideally at a high-growth, AI-native infrastructure or B2B company - You've shipped production agents on Vercel. Build custom internal apps and agents on Vercel, with durable workflows and sandboxed execution, so what you ship runs reliably in production instead of as one-off scripts - Genuine fluency with AI coding assistants and agent tooling (Claude Code, Cursor, Codex, or similar) - Direct experience with a CRM or system-of-record platform (Salesforce or similar) - A track record of owning end-to-end AI and automation workflows - Proficiency with integration and automation platforms (n8n, Zapier, Make, Workato, or similar) and a fundamental understanding of APIs and webhooks - Experience in high-growth technology companies, ideally in infrastructure, cloud, or operations-heavy environments NICE TO HAVE - Familiarity with GPU infrastructure, capacity planning, or fleet management concepts - Comfort building reporting and alerting on a data warehouse (BigQuery, Databricks) and BI layer (Sigma, Hex) — not as a data engineer, but as a consumer and builder on top of the data layer - Experience building with agent platforms (Gumloop, n8n, Notion Agents, etc.) and/or agent frameworks (Vercel AI SDK, Claude Agent SDK, Mastra, etc.) - Experience with high-stakes, operationally complex environments where mistakes have real business impact - Challenging work and exposure to the operational core of a fast-scaling AI infrastructure company BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are seeking a Senior NPI Mechanical Engineer to help establish our mechanical New Product Introduction (NPI) practices from the ground up, guiding hardware programs from concept through early production readiness. In this role, you will be the technical authority on manufacturability, working closely with design, quality, and supply chain teams to build the frameworks, processes, and discipline that let us scale from prototype and beta builds toward repeatable, larger-volume production. You will stand up quality processes and defect-reduction practices sized to where we are today, and own supplier relationships from sourcing through qualification and issue resolution. This is a hands-on, cross-functional role at the intersection of design, manufacturing, and quality, for an experienced mechanical engineer who thrives on creating structure out of ambiguity as much as executing within it. WHAT YOU'LL DO New Product Introduction (NPI) - Lead mechanical NPI activities across the full product lifecycle, from concept and early prototyping through pilot builds, ramp, and sustained production. - Partner with design engineering to review designs for manufacturability, assembly, and testability (DFM/DFA/DFT), influencing decisions early enough to avoid costly late-stage changes. - Help define and stand up a lightweight, right-sized gate process (EVT/DVT/PVT-equivalent) for our stage, then own the mechanical engineering deliverables (build plans, test protocols, readiness criteria) at each gate as it matures. - Coordinate cross-functionally with electrical engineering, industrial design, quality, supply chain, and program management to keep NPI programs on schedule and within budget. Manufacturing Scalability - Evaluate and select manufacturing processes, tooling, and fixturing appropriate for our current build volumes, with an eye toward what will and won't scale as we grow from beta to production - Identify and resolve bottlenecks in prototype and early pilot builds, laying the groundwork for the throughput and yield improvements we'll need as volume increases. - Develop and validate assembly processes, work instructions, and line layouts in partnership with contract manufacturers and internal operations teams- largely from scratch, not by inheriting existing documentation. - Lead design-for-scale reviews to anticipate and mitigate risks before they impact volume production. Quality & Defect Reduction - Lead defect triage and containment efforts during prototype and pilot builds, partnering with quality engineering — or building that partnership where it doesn't yet exist — to close the loop on recurring issues. - Define and begin tracking foundational quality metrics appropriate to our build volumes (e.g., first-pass yield, defect rate per build, open issues by severity), evolving toward more statistically rigorous measures like DPPM and field return rates as volumes grow. - Establish and drive quality processes across the NPI lifecycle, including FMEA, root cause analysis, and corrective/preventive action (CAPA) programs. - Champion a culture of proactive quality, embedding lessons learned from prior programs into new product designs. Supplier Management - Lead supplier sourcing, qualification, and onboarding for mechanical components, subassemblies, and tooling. - Conduct supplier audits and capability assessments to ensure suppliers can meet cost, quality, and volume requirements. - Manage ongoing supplier relationships, including performance reviews, issue resolution, and escalation management. - Negotiate and align on technical requirements, specifications, and quality agreements with suppliers and contract manufacturers. WHAT WE'RE LOOKING FOR - Bachelor's degree in Mechanical Engineering or a related field. - 10+ years of mechanical engineering experience, including significant time in NPI roles- ideally including experience both scaling hardware through high-volume manufacturing and standing up NPI processes from scratch in an early-stage or low-volume environment. - Demonstrated track record of taking products from concept through mass production, ideally in robotics, consumer electronics, or complex electromechanical systems. - Strong working knowledge of DFM/DFA/DFT principles, GD&T, and manufacturing processes (injection molding, sheet metal, machining, casting, etc.). - Hands-on experience with quality methodologies such as FMEA, 8D, root cause analysis, and SPC. - Proven experience managing supplier relationships, including sourcing, qualification, and issue resolution. - Experience standing up or scaling manufacturing lines at contract manufacturers. - Excellent cross-functional collaboration and communication skills, with the ability to influence design decisions and align diverse stakeholders. - Willingness to travel to supplier and manufacturing sites as needed (domestic and/or international). Preferred Qualifications: - Experience in robotics, automation, or other complex mechatronic products. - Familiarity with PLM/ERP systems and NPI program management tools. - Six Sigma or equivalent quality certification. - Experience with regulatory and safety compliance requirements relevant to robotics hardware (e.g., UL, CE, ISO). WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in Massachusetts, the expected base salary range is $150K–$190K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

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: United States; Europe Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE ElevenLabs is building the creative suite for the AI generation. Millions of creators and marketers already use our platform to generate speech, music, images, and video — and many of the world's best creators already talk about our products organically. It's time to turn that signal into a real program. We are looking for an Influencer Marketer to build our influencer program from zero to one. You will own the entire channel: strategy, creator sourcing and vetting, deal negotiation, briefs and creative direction, campaign execution around product launches, and measurement. This is not a coordination role — you will be the owner and operator of a channel we believe can become one of our biggest growth levers. We are looking for the top 1% of people in this industry. The right person has already taken an influencer program from nothing to something — with real numbers to prove it — and wants to do it again with more budget, a better product, and a faster team. You have sharp taste in creators and content, you negotiate deals that work for both sides, and you think about influencer spend the way a performance marketer thinks about paid: in terms of true incremental impact, not vanity metrics. WHAT YOU WILL DO - Design and build the ElevenLabs influencer program from the ground up: strategy, creator tiers, budget allocation, and operating playbook - Source, vet, and sign creators across YouTube, TikTok, Instagram, and X whose audiences match our creator, marketer, and developer segments - Negotiate and structure deals — flat-fee integrations, performance hybrids, long-term ambassadorships — and manage creator contracts with Legal - Write briefs that protect brand quality while giving creators room to be authentic, and give fast, decisive feedback on draft content - Plan and execute creator campaigns around product launches, feature releases, and cultural moments across ElevenLabs and ElevenCreative - Own measurement: work with our data team on attribution and incrementality (we already run a halo attribution model), and make continue/pause/scale calls on every creator and agency based on true ROI - Partner with paid marketing on whitelisting and amplifying top creator content, and with social to extend campaign reach - Build repeatable systems — sourcing pipelines, rate benchmarks, brief templates, reporting — so the program scales beyond you REQUIREMENTS - A proven track record of building an influencer program from zero to a meaningful, measurable channel — you can walk us through the before and after with real numbers - Experience negotiating and closing creator deals across YouTube, TikTok, Instagram, and/or X, including non-standard structures (performance hybrids, ambassadorships, usage rights) - Fluency in measurement beyond last-click: promo codes, UTMs, lift studies, incrementality, and the judgment to make budget calls when attribution is imperfect - Sharp creator taste — you can tell which creators will move the needle for a product like ours and which will just burn budget - Excellent brief-writing and creative feedback skills; you raise content quality without killing authenticity - Experience managing meaningful budgets and working cross-functionally with paid, social, product marketing, data, and legal - A genuine understanding of the AI and creative tools landscape — you follow the space, use the tools, and have informed opinions about where things are headed BONUS - Built or scaled an influencer program at a creative tools, AI, or developer-facing company (e.g., Canva, Adobe, Figma, Notion, Runway, or similar) - Managed 7-figure annual creator/sponsorship budgets - Experience on the agency or creator side of the table — you know how the other side negotiates - Built adjacent programs: ambassador, affiliate, or B2B thought-leader partnerships - Multilingual capabilities GROWTH POTENTIAL We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Lead the influencer and creator partnerships function as the program scales, building a team around you - Expand into broader creator/community growth ownership across ElevenLabs brands - Move into growth or brand marketing leadership as the Growth org evolves LOCATION This role is remote-first and can be executed from anywhere between the US East Coast and Europe, with the ability to collaborate across EST–CET timezones. If you prefer, you can work from our offices in London, New York, Madrid, Warsaw and many more. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 seeking an experienced Social Escalations Manager to be a founding member of a new pillar of our Operations organization: Community & Executive Escalations. This role is the front line of how Anthropic protects its reputation when high-stakes user issues surface on public social platforms.You'll help stand up the function from scratch and operate it day-to-day.  You'll actively monitor brand and product conversations, triage emerging issues, and own social escalations end-to-end. During live escalations, you'll build real-time social reports that turn data into actionable recommendations to resolve issues quickly and reduce reputational risk. The ideal candidate pairs deep fluency in the social analytics landscape with calm judgment under pressure, sharp written communication, and a bias toward action. Key responsibilities Build the team's playbooks, escalation criteria, tooling solutions, and SOPs to successfully manage social escalations Actively monitor public social channels for brand mentions, surfacing potential escalations and triaging them against defined criteria Own social escalations end-to-end during your coverage hours Communicate crisply with internal stakeholders: brief executives on live situations, give Comms partners the facts they need, and keep incident channels useful and current Build social reports in real-time, using the data to drive actionable recommendations that quickly and effectively resolve live incidents and reduce reputational risk Write clear post-escalation reports that capture what happened, what we did, and what should change—so the next escalation is easier than the last Help iterate on the team's playbooks, response templates, escalation criteria, and SOPs based on what you learn running real cases Minimum qualifications 6+ years of experience in social analytics, escalations management, customer support, or a related front-line operations role—ideally at a consumer or developer platform Deep knowledge of the social landscape and hands-on experience using social listening tools (query writing, alert design, API pipelines, report building) Excellent judgment under pressure and have a strong instinct for how issues spread across public social platforms Sharp written communication—you can brief a senior leader in three sentences and document an incident so the next responder can pick it up cold Comfort coordinating across functions in real time and influencing partners without positional authority A pattern-detection mindset—you spot the second-order issue beneath the first-order complaint and surface it to the right people Comfort with ambiguity and a bias toward action; this team is brand new and you'll be helping define what good looks like as you operate Excitement about protecting Anthropic's reputation and relationships at a moment when public attention on AI has never been higher 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: $210,000 — $260,000 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: Canada, Vancouver, BC Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Senior Control Engineer to join our Controls Team in Vancouver, focusing on SW control development and integration of robotic actuators and sensors. You will be responsible for designing, implementing, and validating joint- and actuator-level controllers that deliver high precision, responsiveness, and safety for complex robotic mechanisms. The ideal candidate has a solid background in control theory, strong software engineering skills in C++, and comfort working across the full stack from real-time embedded control up through networking, kinematics/dynamics, and browser-based debugging tooling. You will work closely with other control and hardware engineers to model, tune, and optimize the behavior of real robots and their subsystems (i.e. limbs and end-effectors).   WHAT YOU’LL DO Low-Level Control Development - Tune and validate actuator - and joint-space control loops (PID, feedforward, impedance/admittance, observers, state feedback) for multi-DoF systems in ROS2. - Work across EtherCAT/CAN and Linux networking (TCP/IP, DDS discovery, time sync) to ensure deterministic, safe real-time operation. - Implement safety and fault-handling mechanisms for dynamic conditions. Modeling, Kinematics & System Identification - Build and identify models of actuators, transmissions, and mechanisms — including parallel mechanisms like differential wrists/ankles — for control design and simulation. - Apply rigid body kinematics/dynamics and numerical IK/FK methods; work from URDF/Xacro and MJCF, interpreting mechanical drawings and geometry. Software & Systems Integration - Write real-time-safe, object-oriented C++ (lock-free structures, thread safety) for control and diagnostics. - Design and debug multi-layer control architectures. - Maintain CMake build/dependency tooling and Python test harnesses; build lightweight browser-based tools (HTML/JS/WebSocket) for hardware debugging. Sensor & Hardware Integration - Integrate and calibrate a range of sensors (F/T sensors, tactile sensors, IMUs, etc.) with real-time acquisition and processing across the control stack. - Hands-on hardware bring-up and debugging. Cross-Disciplinary Collaboration - Close the loop with mechanical/electronics engineers across sites on actuation requirements; - Support hardware bring-up, calibration, and performance testing.   WHAT WE'RE LOOKING FOR - M.S. or Ph.D. in Control Engineering, Robotics, Mechanical Engineering, or Electrical Engineering with 5+ years in robotic or mechatronic systems — equivalent practical experience counts. - Shipped real-time-safe, object-oriented C++ control software running on real hardware, in production or a serious research programme. - Tuned and validated controllers on physical actuators, including sensor calibration and bring-up — with a story about something that behaved nothing like the model and what you did about it. - Debugged at the fieldbus and OS layer: EtherCAT (PDO/SDO, timing constraints) or CAN, on an RTOS or real-time Linux. - Strong control theory foundation (linear/nonlinear control, stability, observers, state estimation, feedback/feedforward, filtering, frequency-domain analysis) applied to multi-DoF mechanisms via Jacobians, numerical IK/FK, and URDF/Xacro. PREFERRED QUALIFICATIONS - BLDC motor control (commutation, current control, torque optimization) - ros2_control internals (hardware interfaces, controllers, controller_manager, plugins, lifecycle nodes). - Parallel mechanisms specifically (differential wrist, parallel ankle), robotic hands, or other multi-DoF end-effectors. - System identification toolchains and simulation environments (MATLAB/Simulink, MuJoCo, Gazebo); MJCF. - Experience with dynamic system modeling and simulation at the actuator and transmission level. WHAT WE OFFER - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support. - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.