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Location: Mexico City Workplace: hybrid Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users,  agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in  Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100  countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA. We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We are looking for an Customer Success Executive with Financial Services experience, who will be working with the LATAM Market. Responsibilities: Maintain and develop long-term relationships with strategic customers of the Corporate & Enterprise segment across the US region.Act as a trusted advisor of assigned accounts and communicate with them on different levels, including C-level executives.Control and audit delivery processes in implementation projects for Corporate & Enterprise customers, identify early red flags to prevent delivery and launch-related issues.Help customers achieve their desired outcomes, value realization, and high ROI.Grow customers' portfolio through zero churn and active cross and upsells.Maintain a higher than industry average NPS score. Requirements:Minimum 5+ years of B2B account management or project management experience working with Enterprise accounts in the US (Financial Services, specifically Credit Unions or Banks, experience is required).Experience working with CRM, BPM, LC/NC, AI solutions will be a preference.English language skills and executive-level communication.Desire to learn and adapt fast according to a changing market environment.Customer-centric expert with a track record in delivering customer success. What You Should Expect From Us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Operator, Global Security Operations Center (GSOC). About the job This position is needed to maintain a broad situational awareness over internal and external physical events that could impact employee safety or pose a threat to business assets or operations across Twilio’s global footprint. GSOC Operators monitor a variety of data sources including internal access control systems, external incident aggregators, travel safety applications, and general open source reporting materials. GSOC Operators serve as the primary contact for employees with physical safety and security questions or concerns. When an incident occurs, the GSOC Operator may dispatch security resources, escalate to crisis management teams, send broad communications to Twilio employees, or execute a mass notification to account for employee safety. Responsibilities: In this role, you’ll: Monitoring and Surveillance Utilize various physical security asset monitoring and surveillance systems to detect potential unauthorized access,  suspicious activity, or other security incidents Monitor open-source threat intelligence and other internal SaaS tools to maintain situational awareness of persistent or emergency global events with potential or direct impact to operations Security Operations Support Support access control and visitor management processes Manage security-related calls for service and provide general guidance to employees, vendors, and guests Maintain awareness of business travelers and personnel accessing Twilio facilities Partner with local site security teams to escalate and dispatch resources for incident and alarm response Review travel requests to elevated risk locations, assist travelers through the approval process, and cross-reference live itineraries with external incidents Incident Management Perform the first point of incident intake across a variety of emergencies, including medical emergencies, natural disasters, fire/evacuation, travel disruptions, and security incidents Assess and triage events and incidents to determine their impact to operations Dispatch and coordinate response with emergency response personnel Communicate effectively on emerging incidents to large audiences to share situational awareness or tactical updates as warranted Maintain real-time incident documentation for reporting and analysis Perform Life-Safety checks for Twilio in areas impacted by potentially life-threatening conditions Participate in post-incident reviews to document and implement corrective action and improvements to future response Operational Excellence Maintain a strong understanding of security and emergency standard operating procedures Utilize critical thinking and problem solving skills to analyse situations and implement solutions Support large projects that will improve Twilio’s GSOC capabilities and initiatives Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 3+ years of experience in a GSOC working environment Experience with physical safety and security technology, systems (ACS, IDS, VSS, VMS), travel safety, and mass notification tools Experience with open-source intelligence (OSINT) research tools Strong critical thinking and problem-solving skills Proven ability to follow standard operating procedures and playbooks Ability to prioritize tasks in a fast-paced environment Ability to stay calm, professional, and think clearly in high-stress situations Ability to communicate clearly and concisely; verbal and written Ability to work ‘non-standard’ shift hours, to overlap as needed with colleagues and stakeholders in other global locations, including weekend and holiday hours English Language Proficiency Desired: Customer service mindset Comfortable with a high-tech work environment Eager to learn new tools and processes Ability to work independently and as part of a team Proficiency in Google Suite Additional Language Proficiency Shift Details: Variable (8–10-hour shifts) Must be flexible to work holidays, weekends, and occasional overtime. Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 10% travel is anticipated to help you participate in project or team in-person meetings to help you connect in a meaningful way. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $26.27 - $32.84 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $27.77 - $34.71 Based in the San Francisco Bay area, California: $30.85 - $38.56 This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until December 21st, 2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Remote, United States ClinChoice a global CRO is recruiting for a Business Development Director to join our internal commercial team in the U.S. As a Business Development Director, you will focus on driving full clinical operations service growth by securing new clients and expanding services in existing clients to drive revenue growth. You will be responsible for the full sales lifecycle – from prospecting, developing relationship, to closing all deals including complex, high value deals. Previous experience working with a global Contract Research Organization and selling full clinical operations services is required. Experience with developing clients with outsourcing exposure to China is a plus. This is a full-time, permanent opportunity based in the US. Candidates based on the West Coast are preferred, though applicants from other locations may also be considered based on their CRO experience. Main Job Tasks and Responsibilities Sales strategy and execution : Identify, assess, and develop new global full clinical service strategic plans. Implement realistic and actionable plans to achieve or exceed annual revenue goals that align with the company’s growth objective. Prospecting: Actively identify and secure new business opportunities and/or grow/expand services with existing clients. Relationship Management: Build and maintain positive relationships and provide regular face time with key decision makers within prospect and client organizations, including their Clinical Operations function, Outsourcing function, Procurement function, and C-Suite executives. Market Intelligence: Represent Company at key conferences, trade shows, and networking events to learn and monitor industry trends and competitor activities. CRM Management: Maintain all pipeline data promptly from prospecting to closing contracts in company CRM database. Education, Experience and Skills 10+ years of sales or business development experience, with at least 6 years in global full service CROs. Established a network of decision-makers in the life-sciences industry. Experience selling to, presenting to, and building relationships with senior management and C-level stakeholders. Strong negotiation skills with a proven track record of closing complex, multi-million-dollar business deals Persuasive and compelling presentation and communication skills, both written and verbal Ability to understand internal business need, interpret business challenges and present quick and responsive high-level solutions. Deadline-driven with a proven ability to manage multiple engagements at varying points in the sales cycle. Bachelor’s degree in Life Science, Biotechnology, or Business Administration; MBA is a plus. 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 30 years of proven high-quality delivery and results across all our services with over 3,000 professionals in more than 20 countries across US, EU, APAC and ANZ. We are on a mission to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Join our passionate team and make a meaningful impact on global healthcare! 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. 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. Keywords: Director of Business Development, business development, marketing, contracting, travel, clinical trials, CRO, Clinical Research Organization, clinical development, CRO management, relationship management, clinical research sales, account management, CRO full-service sales, Bid Defense, contract negotiations, business to business sales #LI-VH1 #LI-Remote #LI-Director #LI-FULLTIME

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 As a Senior Mechanical Design Engineer on the Core Platform team, you’ll play a key part in turning ambitious, open-ended ideas into high-performing, real-world robotics solutions. Your work will span hands-on design, collaborative prototyping, and technical validation, driving innovation in mechanisms, and structures. You’ll develop detailed CAD models and documentation, ensure manufacturability and safety, and work closely with cross-disciplinary teams and vendors—all while adapting to rapidly evolving project needs. This is an opportunity for creative engineers who thrive on solving complex problems and shaping the future of robotic design. WHAT YOU’LL DO - Interpret Open-Ended Design Requirements: Help transform broad project requirements into detailed, pragmatic design specifications for new systems and components. - Collaborate Across Disciplines: Work with engineers from various disciplines to brainstorm, design, and develop prototype robots that meet challenging performance targets. - Innovate with Mechanisms and Structures: Design and refine innovative mechanisms, interfaces, and structures that elevate robot performance, from energy-absorbing crash protection to ergonomic robot coverings. - CAD Design & Documentation: Create and manage CAD models, engineering drawings, assembly documentation, and test plans for parts and assemblies. - Analysis and Validation: Perform necessary analyses on new designs, validate them through bench tests, and ensure that they meet all performance, safety, and manufacturability standards. - Troubleshoot and Implement Solutions: Identify and resolve design issues by determining root causes and implementing effective corrective and preventative measures. - Vendor Management: Collaborate with external vendors for components and assemblies that require outsourcing, ensuring that third-party designs meet Humanoid’s stringent requirements. - Adapt to Changing Needs: Stay flexible and responsive to changing project requirements while maintaining a team-first, collaborative mindset.   WHAT WE'RE LOOKING FOR - BSME with 5+ years of relevant experience - Experience designing high‑performance mechanical structures, motion mechanisms, and integrated systems, ideally in robotics or comparable high‑precision fields. - Advanced proficiency in CAD software (NX, SolidWorks, Creo etc.) with experience in FEA and topology optimization. We use Siemens NX. - Strong understanding of ASME drafting standards, including GD&T (Y14.5-2018). - Experience transitioning designs from early concepts (NPI, EVT, DVT) to production. - Familiarity with production processes such as casting, sheet metal, stamping, hydroforming, composites, and compliant energy-absorbing structures. - Experience designing lightweight, high-performance structures, compliant mechanisms, and flexible energy-absorbing designs. - Creative and collaborative thinking with a team-first mentality. 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 a 4% employer match. - Equity included–we believe builders should share in what they build. - 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 $160K–$215K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: London, England Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are looking for a Strategic Account Executive who will play a critical role driving sales and maximizing expansion opportunities within one of our top accounts within Figma. The account you will be responsible for will be Accenture, targeting, building and nurturing positive relationships with key C-level decision-makers, understanding complex business needs, and delivering innovative solutions across our product suite. This is an opportunity to accelerate your career, learn from leading sellers in the industry and build an incredible network of cross functional partners throughout Figma. What you'll do at Figma: Manage Accenture to consistently meet or exceed quarterly and annual sales targets Apply effective discovery and value-selling techniques to build and strengthen C-level relationships Align with executives on business challenges and gain sponsorship for enterprise wide deployments for a suite of products, identifying where Figma’s roadmap and innovations fit in the long term Conduct thorough analysis to create strategic account plans that outline company priorities and initiatives, multi-threading at at senior level to build on expansion opportunities Co-create with cross-functional partners to expertly position Figma, drive deals forward and ensure customer success Leverage opportunities to advance executive level relationships through in-person meetings and networking opportunities We'd love to hear from you if you have: Experience selling to or within Accenture - or you have sold to a Big 4 (PWC, KPMG, EY or Deloite) company or sold large enterprise deals Experience closing sales, over multiple years, for a software or SaaS business with the highest tier of Enterprise customers (5000+ FTEs), selling to executives Consistent performance meeting pipeline generation targets for net new business Demonstrated experience successfully managing complex sales cycles (9 months+) Proficiency in a sales methodology and process that creates value for customers While it’s not required, it’s an added plus if you also have: Experience selling solutions to technical audiences at the highest level in Engineering, Product and Design teams Demonstrated ability to succeed in a changing environment Certified in deal qualification and prospect discovery At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

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 As a Senior Platform Software Engineer at Humanoid, you will be at the heart of developing the core OS, data networks and protocols, and fundamental software subsystems for our next-generation humanoid robots. You will help develop the foundational software architectures that allow high fidelity robotic controls and AI development. You will be responsible for writing high-integrity software that runs on our robots, integrating sensors, safety systems, and computing platforms to enable safe human-robot collaboration. In this role, you will have the opportunity to take full ownership of new systems and directly contribute to the development of our future products. If you are interested in complex embedded software projects, thrive in a fast-paced, collaborative environment, and want to make a real impact on the future of human-robot interaction, we want you on our team! WHAT YOU’LL DO - Design & Create Embedded Software: Develop and validate embedded software that ensures our robots can operate at scale in the real world. - Hardware & Software Integration: Work at the intersection of hardware and software to integrate various robotic components (e.g., sensors, actuators, computing platforms) into a cohesive, fault-tolerant system. - Lead Cross-Functional Projects: Lead interdisciplinary projects that involve robotic perception, computing subsystems, and software integration, collaborating with engineers across multiple domains. - Test & Evaluate Systems: Integrate new systems with our robots to test, validate, and ensure that they meet safety requirements and perform reliably in real-world conditions. - Build Infrastructure for Innovation: Contribute to the development of tools, infrastructure, and operational practices within a small, agile R&D team focused on unlocking new capabilities for Humanoid robots. - Drive Safety in Robotics: Be part of a team working at the cutting edge of technology to improve the safety and performance of robots operating in real-world, human-centric environments. - Collaborate Across Teams: Work closely with electrical engineers, software developers, robotics control experts, physical AI developers, and other team members to integrate software systems with robotics hardware, ensuring seamless operation and performance.   WHAT WE'RE LOOKING FOR - 5+ years of experience developing and deploying production software in embedded systems running Linux (C++, C, Rust, Python, Go). - Experience developing time-sensitive, performance-critical applications. - Thorough understanding of Ethernet and IP networking and higher-level protocols like HTTP or gRPC. - Experience with Linux build environments like Yocto or Buildroot. - Experience in building Linux kernels and modifying or writing device drivers. - Experience with NVIDIA’s Jetson platform is a plus. - Experience working with sensor data, including cameras, lidars, radars, and IMUs is a plus. - Strong communication skills, with the ability to write clear technical documentation and deliver presentations on complex topics. - Proven history of leading cross-functional technical projects, including developing technical requirements and driving collaboration across teams. - Experience working in small, agile teams with fast iteration cycles and interdisciplinary collaboration. 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 employer match. - Equity included–we believe builders should share in what they build. - 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 $180K–$250K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: New York City Workplace: OnSite ABOUT PEEC AI Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win. We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office. ABOUT THE ROLE We are hiring a Senior Account Executive in New York to own our largest and most complex deals across North America. You will sell to SEO, marketing, and growth leaders at enterprise and agency accounts, run the full cycle from first conversation to close, and set the standard for how the US team sells. This is a senior seat in a young office. You will work side by side with the founding NYC team, and you will have a real say in how we build the US go-to-market: the playbook, the positioning, and the bar we hold ourselves to. If you want to be the rep others learn the motion from, this is that role. WHAT YOU'LL DO - Source and close new business across North America, owning the full cycle from discovery and demo through negotiation and close - Build your own pipeline into strategic accounts, and partner with SDRs and Marketing on targeted outbound across your patch - Multi-thread across senior stakeholders and build the business case that gets a new category onto a budget - Keep your CRM clean and your forecast honest, with a strong handle on deal progress - Build lasting relationships with your customers and spot expansion opportunities as their AI search programs grow - Set the bar for the AEs around you: share what works, help shape the playbook, and raise the quality of the whole team's selling - Feed what you learn on calls back into product, marketing, and the sales playbook. At this stage, your input shapes how we sell. WHAT WE'RE LOOKING FOR - 5+ years of experience in a quota-carrying software sales role - A consistent track record of overachievement against a quota of $1M+, sustained across multiple years rather than one strong run - Experience closing complex, multi-stakeholder deals end to end, including negotiation and procurement - A builder of your own pipeline: you can point to closed deals that started with your own prospecting - Sharp communication and a natural ability to tell the story of a new category simply - Comfortable being the senior voice in a young team, and willing to set the standard rather than wait for one BONUS POINTS - Repeatedly achieving President's Club - Experience as an early sales hire in a high-growth, venture-backed startup - Experience selling SEO, analytics, or martech software - Interest in growing into a team leadership position as the US office scales - You already know what GEO and AEO stand for. WHAT WE OFFER - Transparent comp with a 50/50 base to variable split, plus equity - Comprehensive benefits package - Collaborative, high-energy in-office work environment - Opportunity to make a significant impact and define a new market category EEOC STATEMENT Peec AI is an Equal Opportunity Employer. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by federal, state, or local law. COMPENSATION The base salary range for this position is $142,000 to $162,500 annually with anticipated on-target earnings being $284,000-$325,000. Actual compensation within this range will be determined based on factors including the candidate's experience, skills, qualifications, and location, in accordance with applicable New York law.

Location: UK, London 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're hiring a strong Robotics Learning Engineer to join our Manipulation team based in London. In this role, you will work on teaching our robots to manipulate the world around them. This is a role at the intersection of applied deep learning and robotics, and to be set up for success you need both experience of working with real robot hardware (e.g. identifying issues in control or teleop), and applied deep learning (you don’t have to be an expert on cutting edge neural network techniques, but you should be perfectly capable of curating data, fine-tuning a policy on that data and hypothesising potential mitigations when something doesn’t work). WHAT YOU’LL DO - Post-train manipulation policies via behaviour cloning and RL; own the full loop from data to deployment. - Come up with data preprocessing strategies to improve the quality of collected data. - Work with the simulation team to set up RL training using digital twin, and then iterate on reward and simulation quality to ensure successful transfer to the real world. - Partner with the data collection organization to drive data collection activities for a specific capability: specify what good data looks like, ensure diversity and coverage, and iterate on instructions. - Expand observation and action spaces with new components required to support novel capabilities, and work with the Teleoperations team to expose these components to robot operators. - Partner with Teleoperations and Controls teams to improve motion smoothness and teleoperation experience. - Interface with hardware design team to ensure that manipulation team findings regarding the current generation of hardware are reflected in future designs. WHAT WE'RE LOOKING FOR - 3+ years working on robots (industry or research) with shipped artifacts to show for it. A good understanding of modern teleoperation and low-level control stack. - Experience with neural network post-training. - Familiarity with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training, PyTorch or JAX. Ability to profile & debug numerics and write maintainable research code. - Good familiarity with modern software engineering practices. - Ability to document experiments clearly and communicate trade‑offs crisply. Nice to have: - Experience training VLA models for manipulation (autoregressive, diffusion or flow-matching based). Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks. - Experience applying RL to robotics problems. - Publications at top-tier robotics or deep learning conferences or equivalent open‑source contributions. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: UK, London 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're hiring a Senior Simulation Engineer to join our VLA team based in London. In this role, you will build and maintain simulation environments for dexterous manipulation tasks across industrial, service, and home domains. This is primarily a simulation and reinforcement learning-focused role, so we are looking for experience creating realistic physics-based environments and training RL policies, while experience in robotics isn't strictly required. However, if you don't have such experience, be prepared that you'd need to familiarize yourself with a new domain quickly. WHAT YOU’LL DO - Design and implement gym environments for manipulation tasks spanning industrial, service, and home settings, defining appropriate observation spaces, action spaces, and reward functions. - Analyze and address reward hacking - identify cases where learned policies exploit reward misspecification and iterate on reward design to produce robust behaviors. - Analyze and reduce the sim-to-real gap by tuning physics parameters, improving asset fidelity, and validating simulation behavior against real-world data. - Work with third-party vendors to procure, validate, and integrate high-quality 3D assets (objects, fixtures, environments) suitable for physics-based simulation. - Ensure correct physics setup - contact dynamics, friction, mass properties, joint limits - so that trained policies transfer reliably to hardware. - Identify and reduce simulation bottlenecks to maximize training throughput and environment step rates. - Improve our simulation-based evaluation and reinforcement learning infrastructure to support rapid iteration and scaling. WHAT WE'RE LOOKING FOR - 3+ years building simulation environments or game-engine-based interactive systems (industry or research) with shipped products, published results, or equivalent artifacts to show for it. - Deep hands-on experience with at least one physics simulator (Isaac Sim/IsaacLab, MuJoCo, PyBullet, Drake) or equivalent game engine experience (Unreal, Unity) with a focus on physically accurate interactions. - Strong practical experience running large-scale parallel simulation on GPU clusters and good familiarity with modern GPU-accelerated simulation infrastructure. - Strong Python; you can profile bottlenecks, debug physics issues, and write maintainable research code. - Familiarity with modern software engineering practices. - You document experiments clearly and communicate trade-offs crisply. Nice to have: - Robotics or manipulation-specific experience (grasping, contact-rich tasks, deformable objects). - Experience designing reward functions and training RL policies in simulated environments; solid understanding of common failure modes (reward hacking, distribution shift, sim-to-real gap). - Experience with NVIDIA Isaac Sim & IsaacLab specifically. - Experience with domain randomization, system identification, or other sim-to-real transfer techniques. - Publications at top-tier robotics or RL conferences or equivalent open-source contributions. - Familiarity with robocasa, robosuite or similar open-source manipulation simulation frameworks. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of AI products. Fin is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI. We’re particularly interested in engineers who have: A track record of working on model training or model inference at scale , or on low‑level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better. What will I be doing? As a Senior AI Infrastructure Engineer focused on model training and inference, you will: Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation. Build and optimize inference services that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks. Work on GPU‑level performance : tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack. Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production. Play an active role in hiring, mentoring, and developing other engineers on the team. Raise the bar for technical standards, reliability, and operational excellence across Fin's AI platform. Profile we’re looking for: These are indicative, not hard requirements We’re looking to hire Senior+ AI Infrastructure Engineers . You’re likely a great fit if: You have 5+ years of experience in software engineering , with a strong track record of shipping high‑quality products or platforms. You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals). You have hands‑on experience with one or more of the following: Model training (especially transformers and LLMs). Model inference at scale (again, especially transformers and LLMs). Low‑level GPU work , such as writing CUDA or Triton kernels. Comfortable working in production environments at meaningful scale (traffic, data, or organizational). You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‑engineers. You take pride in strong technical fundamentals , love learning, and are willing to invest in your own development. Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly. Bonus skills & attributes None of these are required, but they’re nice to have: Experience at AI native companies that train and/or run inference for their own models (e.g. modern AI labs or AI‑native product companies). Experience running training or inference workloads on Kubernetes . Experience with AWS or other major cloud providers. Production experience with Python in ML or infrastructure contexts. Demonstrated passion for technology through personal projects, open source, meetups, or publishing content about your work and learnings #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Dublin, Ireland Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of AI products. Fin is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI. We’re particularly interested in engineers who have: A track record of working on model training or model inference at scale , or on low‑level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better. What will I be doing? As a Senior AI Infrastructure Engineer focused on model training and inference, you will: Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation. Build and optimize inference services that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks. Work on GPU‑level performance : tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack. Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production. Play an active role in hiring, mentoring, and developing other engineers on the team. Raise the bar for technical standards, reliability, and operational excellence across Fin's AI platform. Profile we’re looking for: These are indicative, not hard requirements We’re looking to hire Senior+ AI Infrastructure Engineers . You’re likely a great fit if: You have 5+ years of experience in software engineering , with a strong track record of shipping high‑quality products or platforms. You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals). You have hands‑on experience with one or more of the following: Model training (especially transformers and LLMs). Model inference at scale (again, especially transformers and LLMs). Low‑level GPU work , such as writing CUDA or Triton kernels. Comfortable working in production environments at meaningful scale (traffic, data, or organizational). You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‑engineers. You take pride in strong technical fundamentals , love learning, and are willing to invest in your own development. Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly. Bonus skills & attributes None of these are required, but they’re nice to have: Experience at AI native companies that train and/or run inference for their own models (e.g. modern AI labs or AI‑native product companies). Experience running training or inference workloads on Kubernetes . Experience with AWS or other major cloud providers. Production experience with Python in ML or infrastructure contexts. Demonstrated passion for technology through personal projects, open source, meetups, or publishing content about your work and learnings #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Remote - US About the Job: As a Staff Engineer on LaunchDarkly's Experimentation team, you'll build the platform that helps engineering teams make data-driven decisions with confidence. Our Experimentation product enables customers to run A/B tests, measure the impact of feature changes, and optimize experiences — integrated with a feature management platform that processes trillions of evaluations daily. This role sits at the intersection of data science and platform engineering. You'll design the statistical engine, warehouse-native analysis pipelines, and adaptive experimentation systems (including contextual bandits) that power our customers' most important decisions. We want someone who brings genuine depth in applied statistics and ML — as fluent in statistical validity as in system architecture. You'll also architect warehouse-agnostic features that run analysis directly inside customers' data warehouses (Snowflake, Databricks, Redshift, BigQuery) — modular computation layers that abstract across warehouse environments while maintaining statistical correctness. Deep technical experience, a scientific mindset, and the ability to influence product and technical direction are critical. You'll lead by example: setting the bar for rigor, mentoring teammates, and owning systems end to end, including on-call. Responsibilities: Build the experimentation statistical engine — hypothesis testing, sequential analysis, variance reduction ( CUPED , Winsorization), power analysis. Ensure statistical correctness across all experiment types. Design warehouse-native experimentation that runs analysis inside customer warehouses (Snowflake, Databricks, Redshift, BigQuery). Build modular, warehouse-agnostic abstractions for rapid new backend support. Lead adaptive experimentation — contextual bandit systems, Bayesian optimization, automated allocation beyond simple A/B tests. Drive the platform roadmap with product, design, and data science. Shape what we build, not just how. Collaborate cross-functionally with Warehouse Integrations, SDK, Platform, and Data Science teams. Mentor engineers and raise the team's bar for statistical rigor and system design. Own operational excellence — monitoring, observability, incident response, on-call. Robust telemetry and alerting. Qualifications: 10+ years building large-scale experimentation platforms, statistical analysis systems, or data-intensive backend services. Applied-statistics knowledge: hypothesis testing, sequential analysis, variance reduction ( CUPED ), power analysis, experiment design. Comfortable with frequentist vs. Bayesian trade-offs. Experience with adaptive experimentation ML — contextual bandits, Thompson sampling, Bayesian optimization, or RL -based allocation. Track record designing warehouse-agnostic systems across Snowflake, Databricks, Redshift, BigQuery, or similar. Expertise in Go, Python, or similar for backend services and statistical computation. Experience with event-driven architectures, data pipelines, and large-scale data processing. Cloud environments (AWS, GCP) with infrastructure-as-code. Technical leadership: setting direction, breaking down complex problems, influencing across teams. Ability to translate statistical concepts for product and engineering audiences. Pay: Target pay ranges based on Geographic Zones* for Level 5: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $214,800 - $295,350* Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $193,400 - $265,870** Zone 3: All other US locations - $182,600 - $251,0202** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: UK, London 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're hiring a Staff Controls Software Engineer to join our Controls team based in London. We are seeking an experienced Staff Controls Software Engineer to lead the development, integration, and maintenance of our production-grade control software for humanoid robotic systems. This role sits at the intersection of controls and software engineering - focused on turning advanced control strategies into robust, maintainable, and validated production systems. You’ll be responsible for ensuring that the control stack powering our robots is deterministic, safe, tested, and deployable at scale. You bring both deep robotics control experience (10 years in robotic system development) and strong software engineering discipline — designing architectures that perform reliably in real-time environments. WHAT YOU’LL DO - Design and maintain modular, real-time control architectures supporting locomotion, manipulation, and teleoperation. - Implement high-performance control loops and middleware interfaces for deterministic, safe operation. - Industrialize algorithms, ensuring production readiness, maintainability, and performance. - Establish clear software boundaries and interfaces between motion planning, control, and hardware layers. - Translate research prototypes into scalable, maintainable, and testable control software. - Apply modern software development practices (CI/CD, code reviews, testing frameworks, documentation). - Define reliability, latency, and safety metrics and enforce them throughout the control stack. - Lead the integration of real-time control software on embedded or Linux-based systems, ensuring consistent behavior across hardware targets. - Develop automated testing frameworks (simulation, hardware-in-the-loop, regression, and performance testing). - Drive release and version management of the control stack, ensuring stability across branches and deployments. - Conduct profiling, benchmarking, and performance validation on robotic hardware. - Define release protocols to ensure reproducibility and verifiable system behavior. - Implement software-based fail-safes, watchdogs, and redundancy mechanisms for safety-critical control paths. - Work closely with hardware and safety teams to ensure fault detection, graceful degradation, and safe state transitions. - Lead by example through hands-on coding, code reviews, and system-level debugging. - Mentor engineers on control software best practices, testing methodologies, and performance optimization. - Contribute to the long-term control software roadmap, guiding architecture evolution and quality standards. WHAT WE'RE LOOKING FOR - B.S., M.S., or Ph.D. in Robotics, Control, Computer Engineering, or a related field. - 10+ years of experience developing robotics control software for real-time systems. - Proven expertise in C++ (modern standards) and Python for software implementation, testing, and automation. - Strong background in control theory, robot kinematics & dynamics, and real-time control systems. - Experience in deploying and validating control software both in simulation and on physical robotic platforms. - Solid understanding of software architecture, version control (Git), CI/CD pipelines, and automated testing. - Excellent debugging, profiling, and system performance optimization skills. - Track record of shipping production-quality robotics software, not research prototypes. - Proven experience managing software lifecycle, including release management and cross-team integration. Nice to have: - Experience with ROS2, real-time Linux, or RTOS environments. - Familiarity with relevant tools and libraries like Eigen, Pinocchio, Placo, PyTorch, MuJoCo, etc. - Familiarity with safety-critical systems, redundancy, and failover mechanisms. - Background in whole-body control, actuator coordination, or real-time trajectory execution. - Experience in Joint/Cartesian Impedance and force control - Strong communication and leadership skills, with the ability to influence architecture decisions and engineering culture. - Experience in learning-based control methods (e.g. RL, imitation learning) WHAT WE OFFER - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support. - Equity included–we believe builders should share in what they build. - Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

Location: UK, London 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 Teleoperation Control Engineer to help build the systems that let human operators safely, confidently, and precisely control advanced robots. This role sits at the intersection of robot control, real-time software, operator UX, hardware integration, and human-in-the-loop workflows. You will develop the core teleoperation capability that enables operators to guide, recover, teach, and improve robot behavior in real time. That includes intuitive control mappings, reliable command pipelines, clear operator feedback, high-quality data capture, and safeguards for safe use around real hardware. We are open to strong candidates from junior through staff level. The key traits are hands-on robotics ability, strong engineering judgment, care for software quality, and a product-minded instinct for making complex robot systems intuitive for operators. WHAT YOU’LL DO - Develop teleoperation capabilities for controlling robots across manipulation, mobility, and loco-manipulation tasks. - Design intuitive operator experiences, including input mappings, visualizations, feedback loops, recovery flows, and workflows that reduce cognitive load and improve operator confidence. - Integrate input devices such as VR controllers, gloves, haptic devices, motion capture systems, and custom operator stations into the robot software stack. - Translate noisy, high-frequency human input into smooth, stable, physically feasible robot commands with predictable behavior. - Build robust teleoperation infrastructure for real-time data streaming, calibration, replay, debugging, logging, operator training, and high-quality demonstration capture. - Develop shared-autonomy and assistive-control features that blend human intent with robot capability to improve precision, safety, and ease of use. - Create safe operating boundaries, limiters, alerts, emergency/recovery flows, and clear state feedback so robot operators can use teleoperation safely. - Define and improve quality metrics for teleoperation systems, including latency, reliability, observability, operator success rate, demonstration quality, and failure modes. - Stress-test teleoperation systems on real hardware and in simulation, then drive reliability improvements based on operator feedback and observed failures. - Work closely with controls, manipulation, hardware, and operations teams to ensure teleoperation requirements shape robot design and field workflows. WHAT WE'RE LOOKING FOR - Strong robotics fundamentals, including kinematics, coordinate frames, control interfaces, state estimation basics, and real-time system behavior. - Experience building a subset of the following: teleoperation systems, operator UIs, shared-autonomy tools, human-robot interfaces, or robot learning data-collection pipelines. - Ability to write reliable software in C++ and/or Python, with experience in ROS/ROS2, real-time data streaming, or robotic middleware. - Good intuition for human-in-the-loop systems: how operators perceive robot state, issue commands, recover from errors, and build trust. - A quality mindset: clean abstractions, testing, logging, observability, performance tuning, and tools that remain usable under pressure. - Strong debugging skills across the stack, from operator input devices to robot motion, sensors, networking, and hardware behavior. - Comfort iterating quickly on real robots, learning from operator feedback, and turning prototypes into robust capabilities. - Clear communication and collaboration with cross-functional teams. Nice to have: - Hands-on experience building or debugging software for real robotic hardware, ideally in manipulation, mobile manipulation, humanoids, or dexterous systems. - Experience designing safe workflows for hardware-facing systems where latency, instability, poor feedback, or misuse can create operational risk. - Experience collecting high-quality demonstrations for imitation learning, behavior cloning, or other robot learning workflows. - Exposure to intent inference, haptics, force feedback, motion capture, VR/AR interfaces, or custom control devices. - A product-minded approach to robotics: caring not only that the robot moves, but that control is intuitive, safe, reliable, and pleasant for operators to use. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ days time off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

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 design robots in simulation before building them in hardware. As a Robotics Simulation & RL Engineer, you will help design and validate future generations of our robotic platforms - including bipedal and wheeled systems - using physics simulation and reinforcement learning. You will develop tools to determine whether a robot design can perform real-world tasks before committing to hardware. Your work will directly inform robot architecture, actuator selection, sensor placement, and control strategies. A key responsibility of this role is owning and validating the canonical robot models (URDF and simulation assets) used across simulation and control stacks. WHAT YOU’LL DO - Design and evaluate new robot platforms using physics simulation - Analyze robot capabilities including workspace, manipulability, dynamic balance, and torque limits - Use reinforcement learning to stress-test robot designs and explore capability limits - Own and maintain URDF models of current and future robot platforms - Maintain the CAD → URDF → simulation pipeline - Develop tools and benchmarks to evaluate locomotion, manipulation, and platform robustness - Provide quantitative feedback to hardware teams on actuator sizing, joint placement, mass distribution, and sensor layout - Collaborate with mechanical, control, and perception teams to guide platform design decisions WHAT WE'RE LOOKING FOR - M.Sc http://M.Sc. or Ph.D. in Robotics, Mechanical Engineering, Control, or a related field - Strong foundation in robot kinematics and dynamics - Experience with robot simulation environments (MuJoCo, Isaac Sim, Gazebo, or similar) - Experience with reinforcement learning in robotics or physics-based simulation - Experience working with URDF or similar robot description formats - Strong programming skills in Python and/or C++ - Experience training RL locomotion or manipulation policies Nice to have: - Experience with legged, humanoid, or wheeled robots; - Experience with whole-body control or torque-controlled robots; - Experience with simulation-driven hardware design; - Experience building large-scale RL training pipelines. 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 a 4% employer match. - Equity included–we believe builders should share in what they build. - 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 target base salary range is $200K–$300K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: UK, London 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're hiring a Senior Dev/MLOps Engineer to join our Data & Compute Platform team based in London. WHAT YOU’LL DO - Own and manage the full lifecycle of both ML models and core infrastructure - from development and deployment to monitoring and continuous improvement. - Build and maintain robust CI/CD pipelines for both software and ML workflows. - Ensure reliability, scalability, observability, and security of production systems and ML infrastructure. - Automate deployment, orchestration, and environment management using modern DevOps tooling. - Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production. - Proactively detect, troubleshoot, and resolve infrastructure and model performance issues. - Stay up to date with industry best practices in DevOps, MLOps, and infrastructure engineering. - Document infrastructure, workflows, and operational procedures clearly and thoroughly. WHAT WE'RE LOOKING FOR - Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role. - Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. - Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). - Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). - Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing. - Ability to design scalable, secure, and observable systems in fast-moving environments. - Strong debugging and problem-solving skills across distributed systems. - Excellent collaboration and communication skills, with experience working in cross-functional teams. - Understanding of security and compliance best practices for both software and ML systems. WHAT WE OFFER - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support. - Equity included–we believe builders should share in what they build. - Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong Report to: CTO The Role As Director / Senior Director of Platform Software Engineering, you will own the software platform that powers every Nex Playground in the world — from the moment a family unboxes the device through years of daily play. You will lead end‑to‑end across PlayOS (our Android‑based device OS) and cloud services: OS that gives hardware life, OTA updates that reach a growing global fleet, the Play Pass subscription engine, and the compliance infrastructure that lets us launch in new countries with confidence. You will drive architectural direction, set engineering standards, and grow a high‑performing team. You'll stay hands‑on when it counts most and know when to let your leaders lead. The Mindset First‑principles, customer‑obsessed, decisive. Perseveres to the highest standards and challenges assumptions. Resilient through production incidents, coachable at every level. Grows engineers into owners and leaders. Empathetic, leads with trust, gives tough feedback, builds a culture of accountability. Executes with discipline — insists on engineering excellence to deliver reliable, secure outcomes at scale. Success Looks Like Millions of Playgrounds worldwide, reliably updated over the air. PlayOS that delights families from first unbox through years of daily play — across every market Nex enters. Standards that let the team ship fast with confidence. Strong leaders in your team across device and cloud who own outcomes independently. The platform behind every game, every feature, every market launch. Key Responsibilities Platform & Team Leadership Set platform software strategy in partnership with Product Design and company leadership Build a high‑performing engineering team — raise the engineering bar, grow engineers into owners and develop strong leaders Build Nex's in‑house platform engineering capability and DevOps practices, evolving from external partnerships to Nex‑led development PlayOS Delivery Implement OS platform roadmap — balancing new capabilities with system health, performance, security, and compliance Guide the hardest trade‑offs across architecture, compatibility, and hardware integration Drive international compliance — children's privacy (GDPR, COPPA) and localization for every new territory Cloud & Services Establish standards across cloud services, OTA pipelines, and the Play Pass subscription platform Ensure reliability, security, privacy, and operational excellence as the fleet scales globally Set high standards for observability, incident response, and continuous improvement Must Have Experience leading teams delivering operating systems and cloud services in production at scale Proven people leadership: hires and builds high-performing teams, develops managers, and coaches individuals through clear feedback, growth plans, and high standards Strong technical judgment across device software and cloud systems — hands‑on when it matters Track record raising the bar on quality, reliability, security, privacy, and compliance Significant flexibility working across global timezones Nice to Have Experience with subscription or commerce platforms Familiarity with reliability practices (SLOs, observability, incident response) Experience with consumer privacy regulations (GDPR, COPPA, or equivalent) in a shipped product Experience with connected devices and fleets Experience building products for kids or families Experience with hardware‑software integration and lifecycle support #LI-Onsite We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: Beijing, China Workplace: remote ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. ABOUT YOU We are looking for an Account Executive — Gaming/Adtech Sales who is relationship-driven, commercially sharp, and deeply immersed in China's gaming and digital advertising ecosystem to join our Revenue & Partnerships team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to own the full sales cycle — from prospecting and pitching through to close — across a diverse book of gaming advertisers and publishers across China and the broader APAC market. Strong commercial acumen and communication skills are essential, along with experience in digital advertising sales, performance marketing, or gaming monetization within the Chinese market. The ability to build enduring client relationships grounded in trust, navigate China's complex and fast-moving digital advertising landscape, and manage multi-stakeholder deal structures will be key to your success in this role. If you're passionate about the intersection of gaming and advertising technology and love building innovative ad solutions that help game developers grow their player base and revenue across the world's largest gaming market, we would love to hear from you! Responsibilities: Own the full sales cycle for gaming ad sales accounts across China and the APAC region — from prospecting and outreach through pitch, negotiation, and close, with a strong focus on relationship cultivation consistent with Chinese business practices Build and maintain strong, trust-based, long-term relationships with game developers, publishers, and advertising agencies, acting as the primary point of contact for Xsolla's ad monetization solutions in the Chinese market Identify and develop new business opportunities by leveraging existing networks, attending industry events, and proactively targeting key accounts within China's gaming and advertising ecosystem Develop tailored account plans and pitch materials that align client goals with Xsolla's product offerings, including offerwall, rewarded ads, and performance-based monetization tools, localized appropriately for the Chinese market Collaborate cross-functionally with global product, marketing, and partner success teams to ensure client campaigns are delivered effectively and meet performance targets Monitor campaign performance, provide clients with regular reporting and insights in both Mandarin and English, and proactively recommend optimizations to maximize results and retention Maintain accurate and up-to-date records of all sales activities, pipeline status, and account details in CRM (Salesforce) Represent Xsolla at key gaming and ad tech conferences and trade events across China and APAC (e.g., China Joy, Game Connection Asia, Pocket Gamer Connects, WePlay Expo) Provide market intelligence on advertiser trends, competitor activity, platform developments, and emerging opportunities across China's gaming and digital advertising markets Qualifications and Skills: 3+ years of experience in digital advertising sales, ad tech, gaming monetization, or a closely related field within the Chinese market Proven track record of meeting or exceeding sales targets and managing a full sales cycle, including experience navigating China's relationship-driven (guanxi-based) enterprise sales environment Strong understanding of performance advertising models (CPI, CPA, CPM) and the mobile gaming ecosystem, with familiarity with China's major publishers and platforms (Tencent, NetEase, miHoYo, ByteDance/TikTok, Bilibili, Kuaishou, Baidu) Native or business-level proficiency in Mandarin Chinese, with strong working proficiency in English — the ability to operate fluently across both languages in client-facing and internal communications is essential Excellent interpersonal and presentation skills with a strong understanding of Chinese business culture, including relationship-building norms, hierarchy, and enterprise decision-making dynamics Proficiency in CRM software (Salesforce preferred) and standard sales tooling, as well as familiarity with Chinese business communication platforms (WeChat, DingTalk) Strong organizational skills with the ability to manage multiple accounts simultaneously and adapt quickly to China's rapidly evolving regulatory and platform environment Based in or willing to relocate to Beijing, China; eligible to work in China without visa sponsorship Nice to Have: Experience working with offerwall, rewarded video, or user acquisition advertising products within the Chinese mobile gaming space Established network within China's games industry — publishers, studios, ad agencies, or platform partners (WeChat Mini Games, Douyin, Kuaishou, Huawei AppGallery, TapTap) Familiarity with mobile game monetization metrics (ARPU, LTV, ROAS, D7/D30 retention) and China-specific monetization trends such as gacha mechanics, battle pass models, and live-service content strategies Job Description This job description is intended to outline the general nature and level of work currently performed and is not an exhaustive list of all duties, responsibilities, or qualifications required. Privacy Notice & Data Processing Consent By submitting your application and uploading your resume/CV, you acknowledge and agree that Xsolla will process your personal information (including but not limited to your name, contact details, work experience, and educational background) for the purpose of recruitment, candidate evaluation, and internal record-keeping. In accordance with the Personal Information Protection Law of the People's Republic of China (中华人民共和国个人信息保护法 — PIPL): Purpose Limitation: Your data will only be used for current and future recruitment considerations within Xsolla. Sensitivity: We will handle your personal information with a high duty of care. Your Rights: You have the right to access, correct, or delete your personal information, and to withdraw your consent at any time by contacting us. If your application proceeds past the final interview stage, we may conduct a background check, subject to applicable laws and regulations, only after obtaining your separate written consent. Any such check will be strictly limited to information directly relevant to the employment relationship (e.g., educational background, employment history) and will comply fully with the PIPL. Your personal information will be used solely for recruitment and human resource management purposes, and we will implement rigorous security measures to protect your data. Xsolla takes your privacy rights seriously. We are committed to protecting your personal information in accordance with Chinese data protection laws, including the PIPL, the Cybersecurity Law (网络安全法), and the Data Security Law (数据安全法), and will not sell, unlawfully provide, or disclose any personal data received during the hiring process without your explicit authorization. As a data processor, we uphold our obligations to safeguard your personal data and respect your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com