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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: Shenzhen / Dongguan / Guangzhou / Foshan Workplace: hybrid Ajax Systems is expending and is looking for a Senior/Lead Hardware Engineer to strengthen our team in China.   Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses of any scale. To date, the Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation. As a Senior Hardware Engineer, you will not only design circuits but also serve as a technical cornerstone for our R&D in China. We are looking for an expert who brings strategic value: someone who can oversee complex system architectures, consult on cross-departmental optimizations, and mentor the team on high-performance design methodologies. You will be the bridge between innovative concepts and mass-scale manufacturing. Key Responsibilities Architecture & Design: Develop sophisticated schematic solutions and PCB layouts for new Ajax devices, ensuring high reliability and scalability. Strategic Optimization: Proactively identify opportunities for cost reduction and performance enhancement through component unification and innovative architectural shifts. Project Oversight: Lead complex hardware projects from initial concept through to mass production (10,000+ units/month), ensuring all technical risks are mitigated. Cross-Functional Consultation: Act as a subject matter expert for the firmware and supply chain teams to optimize the hardware-software interface and manufacturing yield. Prototype Lifecycle: Lead the “bring-up” process, debugging complex issues and defining rigorous testing protocols for design validation. Requirements Advanced Circuit Design: Expert-level calculation of circuit elements and high-fidelity simulations of device behavior. EDA Mastery: Professional proficiency in Altium Designer (experience with managed libraries and 3D modeling is preferred). Design for Excellence (DfX): Proven track record of designing for LVD/EMC compliance and mass manufacturing (DFM/DFT). Power Management: Deep expertise in designing both battery-powered and mains-powered (85–265 VAC) devices. Full Lifecycle Ownership: Experience preparing comprehensive production documentation (BOM management, Gerber files, assembly drawings) using Git for version control. Communication: Fluent English is required for technical documentation and international collaboration. Preferred Qualifications Supply Chain Leadership: Direct experience working with vendors and manufacturers for high-volume production. High-Speed Design: Advanced understanding of Signal Integrity (SI) and Power Integrity (PI). Experience with S-parameters, PDN impedance modeling, and TDR measurements. System-Level Thinking: Ability to write or review embedded software (C/C++, STM32) to facilitate deep-level debugging and hardware-software co-design. Regulatory Mentorship: Experience guiding products through global certifications (UL, CE, RED), beyond basic compliance.

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote across the US — preferable to have someone near an office in NYC or San Francisco. This is a rare PM role with true vertical ownership across the full product lifecycle; from early-stage research and pre-training through to post-training and UX buildout through to GTM strategy and pricing - giving the right person a GM-like mandate to drive product decisions end-to-end in a way that's unique for a company of our scale. We’re looking for a passionate Product Manager to help us develop cutting-edge AI tools. This role is for someone who has a combination of strong technical or ML background and experience in product management. You have the ability to take the state-of-the-art AI systems our research team builds and turn them into impactful tools for our customers. You’ll deeply understand what users want, what’s possible to build, and what’s strategic for our business. You’ll be a bridge between our users and our internal teams so we ship products that have the most value for Runway’s creators. This role is a fundamental and critical part of the team for a market-defining company in its early stages. WHAT YOU’LL DO - Work alongside our research team to define new AI applications that solve customer needs and drive business value - Collaborate closely with engineering and design to productize research and continuously improve existing tools - Define and analyze metrics, talk with users weekly, and conduct A/B tests to discover use cases, validate pain points, and prioritize features WHAT YOU’LL NEED - 1+ years of direct experience with SQL, python, code generation tools, and version control best practices - 4+ years of product management experience - Familiarity with the current state-of-the-art ML capabilities and ML products - Experience working with fast-moving teams and building products from scratch - Passion for seeing research through from initial conception to ultimate application - Excellent written and verbal communication skills Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: South Africa; Pakistan; Philippines; Colombia; Mexico; Egypt About Huzzle At Huzzle, we connect high-performing B2B sales professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We’re looking for a Growth Marketer to drive customer acquisition, optimize conversion funnels, and scale revenue across digital channels. This is a remote growth marketing role ideal for data-driven marketers who thrive in fast-paced environments and are passionate about experimentation, analytics, and performance marketing. You’ll work closely with cross-functional teams including sales, product, and content to develop and execute strategies that generate measurable growth. Key Responsibilities Own and execute end-to-end growth marketing strategies across paid and organic channels (Google Ads, Meta Ads, SEO, email, partnerships) Manage and optimize multi-channel acquisition campaigns with clear ROI targets Lead A/B testing and experimentation frameworks to improve conversion rates and reduce CAC Analyze performance data and generate actionable insights using tools like Google Analytics, HubSpot, or similar Collaborate with sales to improve lead quality, pipeline velocity, and revenue outcomes Build and scale email marketing and automation workflows, including segmentation and lifecycle campaigns Identify new growth opportunities, channels, and scalable acquisition strategies Work with design and development teams to optimize landing pages and user journeys Requirements 3–4+ years of experience in growth marketing, performance marketing, or digital marketing roles Proven track record of managing and scaling paid media campaigns with measurable ROI Strong understanding of conversion rate optimization (CRO), funnel analysis, and customer acquisition strategies Hands-on experience with analytics tools (Google Analytics, Mixpanel, Amplitude, etc.) Experience with CRM and marketing automation platforms (HubSpot, Salesforce, or similar) Ability to work independently and manage multiple campaigns simultaneously Strong analytical thinking with a data-first approach to decision-making Excellent communication skills and experience working with cross-functional teams Experience in SaaS, eCommerce, or B2B environments is a strong plus Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: South Africa; Pakistan; Egypt; Philippines; Jamaica About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, and tech platforms across SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing models, we place you directly with a client where you are hired in-house as a valued member of their team. Job Summary We are hiring a driven and results-oriented Account Executive for a high-growth company. This is an exciting opportunity for someone with strong closing skills, consultative sales experience, and a passion for building client relationships. If you have experience in SaaS sales, B2B sales, or working in a startup environment, this role will allow you to thrive in a fast-paced, high-impact setting. Key Responsibilities Own the full sales cycle from qualified lead to close Conduct discovery calls, product demos, and tailored presentations Build and manage a strong sales pipeline using CRM tools (e.g., HubSpot, Salesforce) Develop a deep understanding of customer pain points and position solutions effectively Collaborate with SDRs and marketing teams to convert inbound and outbound leads Negotiate contracts and close deals to meet or exceed monthly revenue targets Maintain accurate pipeline forecasting and reporting Requirements 3+ years of experience in B2B sales, preferably as an Account Executive or closer Strong track record of meeting or exceeding sales targets Experience selling SaaS solutions (preferred but not required) Startup or high-growth company experience is a strong advantage Excellent communication, negotiation, and presentation skills Familiarity with CRM systems (HubSpot, Salesforce, or similar) Ability to work independently in a remote, fast-paced environment Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role Vercel is seeking a Startup Program Lead to build, lead, and scale our global startup program and startup program team. This individual will own the startup program end to end, leading strategy, execution, and team operations. They will be responsible for how the program operates, scales, and delivers a high-quality experience for early-stage founders. They will also play a critical role in supporting our efforts to build strong partnerships with venture capital firms, accelerators, incubators, and startup enablement programs. You’ll work closely with our Startup marketing, sales, partner, and events teams to grow Vercel’s footprint across early-stage technology communities and identify strategic opportunities to support startup founders. This role is ideal for someone who is deeply connected to the startup and VC community, has a strong understanding of developer-first products, and a track record of building and scaling programs. What you’ll do Own and lead Vercel’s global startup program strategy, roadmap, and execution end to end, focused on early-stage startups from pre-seed through Series A. Build, manage, and mentor a high-performing startup program team. Design and scale programs that drive adoption, activation, and ongoing engagement of startups building on Vercel, like the Vercel AI Accelerator . Develop and grow relationships with venture capital firms, accelerators, incubators, and founder communities to bring high-quality startups into Vercel’s ecosystem as customers from day one. Partner closely with Sales to identify high-potential startups within the program and support their progression into long term, successful customers. Establish clear pathways from early-stage adoption to deeper product usage, expansion, and retention, and track performance across the startup lifecycle. Work cross-functionally with Marketing, Vercel Media, Partnerships, and Developer Relations to integrate the startup program into campaigns, content, and ecosystem distribution. Identify opportunities to embed Vercel into the early-stage ecosystem, including VC platforms, accelerator programs, and founder experiences. Serve as a visible leader and ambassador for Vercel in the startup ecosystem by hosting events, advising founders, and building long term relationships. Bring insights from early-stage founders and developers back into Vercel’s marketing, product, and go to market strategies. What you need 6+ years of experience in programs, partnerships, or ecosystem roles, ideally within a high-growth technology or developer-focused company. Experience building and scaling programs from 0 to 1, with clear impact on marketing, growth, or revenue. Proven experience managing or leading teams. Strong track record of building strategic relationships with VCs, accelerators, and early-stage companies. Deep understanding of the startup ecosystem and the needs of founders and developer teams. Ability to engage credibly with technical audiences across Engineering, Product, and Design, with familiarity in modern frontend technologies such as React, Next.js, Vite, Astro, and Remix. Strong cross-functional operator who can partner effectively with Marketing, Media, Sales, Product, and Engineering. Data-driven mindset with experience defining success metrics and optimizing programs based on performance. Excellent communication, storytelling, and relationship-building skills. Bonus if you Contribute to open-source projects related to modern frontend technologies (e.g., React, Next.js, Vite, Astro, Remix, etc.) Have existing relationships with top-tier VCs, accelerators (e.g., Y Combinator, Techstars), or founder communities. Have built applications at scale with modern frontend technologies. Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $148,000 - $185,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Vancouver, Canada Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role: Sensor Tower has a mission to measure the world’s digital economy. Our users rely on Sensor Tower to generate insights about the mobile app ecosystem; to identify new innovations, measure market trends, and analyze how the industry leaders have found success. As a technical product manager focused on our mobile intelligence offering, you will help develop new data products that empower our users to make higher-impact decisions.  You have meaningful professional experience working with data; you’ve developed APIs for an analytics product or held an analytics role at a digital product company, you’ve worked on an AdTech dashboard, or owned other complex products that analyze business data. You can define a data contract or integrate existing services with an MCP server. You have experience that’s relevant to Sensor Tower and our customers by working at a SaaS startup, in mobile, doing financial modeling, or in F2P gaming. At Sensor Tower, you will own projects end-to-end. You will engage with product leadership to develop roadmaps, collaborate with our engineering team on execution, and partner with business and account leaders to better understand our customer’s needs. You are excited about the possibilities that AI unlocks in developing digital products and can talk about how you’ve categorized unstructured data, vibecoded rapid prototypes, or generated insights with AI. You are passionate about the space and can point to independent projects or notable successes in previous roles. What You Will Work On - Interview customers, analyze feedback and analytics data to identify user needs and pain points. - Propose new features and enhancements to solve user problems. - Win buy-in for your proposals across Product, Engineering, Data Science and Business teams. - Develop technical requirements. - Partner with Data Science to define estimation methodologies, validate model outputs against ground truth, and ensure the 'explainability' of our metrics for enterprise clients. - Daily collaboration with Engineering teams during development of new features. - Communicate functional and business details of future releases with less technical teams including Marketing, Accounts, Success and Documentation. What We Are Looking For - 7-8 years of professional experience, preferably with SaaS company in data or in data roles at mobile or F2P gaming. - Experience using AI in day-to-day operations or in shipping AI-native products. - Familiarity with BI industry players like Snowflake, AWS, Databricks, Tableau, Amplitude, Mixpanel. - Experience using data to drive decision making- you are comfortable making complex SQL queries against our analytics data. - College degree in Business or Computer Science, Master’s preferred. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Culver City, CA, US Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role: Sensor Tower has a mission to measure the world’s digital economy. Our users rely on Sensor Tower to generate insights about the mobile app ecosystem; to identify new innovations, measure market trends, and analyze how the industry leaders have found success. As a technical product manager focused on our mobile intelligence offering, you will help develop new data products that empower our users to make higher-impact decisions.  You have meaningful professional experience working with data; you’ve developed APIs for an analytics product or held an analytics role at a digital product company, you’ve worked on an AdTech dashboard, or owned other complex products that analyze business data. You can define a data contract or integrate existing services with an MCP server. You have experience that’s relevant to Sensor Tower and our customers by working at a SaaS startup, in mobile, doing financial modeling, or in F2P gaming. At Sensor Tower, you will own projects end-to-end. You will engage with product leadership to develop roadmaps, collaborate with our engineering team on execution, and partner with business and account leaders to better understand our customer’s needs. You are excited about the possibilities that AI unlocks in developing digital products and can talk about how you’ve categorized unstructured data, vibecoded rapid prototypes, or generated insights with AI. You are passionate about the space and can point to independent projects or notable successes in previous roles. Salary range: 125,000 - 170,000 USD What You Will Work On - Interview customers, analyze feedback and analytics data to identify user needs and pain points. - Propose new features and enhancements to solve user problems. - Win buy-in for your proposals across Product, Engineering, Data Science and Business teams. - Develop technical requirements. - Partner with Data Science to define estimation methodologies, validate model outputs against ground truth, and ensure the 'explainability' of our metrics for enterprise clients. - Daily collaboration with Engineering teams during development of new features. - Communicate functional and business details of future releases with less technical teams including Marketing, Accounts, Success and Documentation. What We Are Looking For - 7-8 years of professional experience, preferably with SaaS company in data or in data roles at mobile or F2P gaming. - Experience using AI in day-to-day operations or in shipping AI-native products. - Familiarity with BI industry players like Snowflake, AWS, Databricks, Tableau, Amplitude, Mixpanel. - Experience using data to drive decision making- you are comfortable making complex SQL queries against our analytics data. - College degree in Business or Computer Science, Master’s preferred. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Seattle, WA, US Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role: Sensor Tower has a mission to measure the world’s digital economy. Our users rely on Sensor Tower to generate insights about the mobile app ecosystem; to identify new innovations, measure market trends, and analyze how the industry leaders have found success. As a technical product manager focused on our mobile intelligence offering, you will help develop new data products that empower our users to make higher-impact decisions.  You have meaningful professional experience working with data; you’ve developed APIs for an analytics product or held an analytics role at a digital product company, you’ve worked on an AdTech dashboard, or owned other complex products that analyze business data. You can define a data contract or integrate existing services with an MCP server. You have experience that’s relevant to Sensor Tower and our customers by working at a SaaS startup, in mobile, doing financial modeling, or in F2P gaming. At Sensor Tower, you will own projects end-to-end. You will engage with product leadership to develop roadmaps, collaborate with our engineering team on execution, and partner with business and account leaders to better understand our customer’s needs. You are excited about the possibilities that AI unlocks in developing digital products and can talk about how you’ve categorized unstructured data, vibecoded rapid prototypes, or generated insights with AI. You are passionate about the space and can point to independent projects or notable successes in previous roles. Salary range: 125,000 - 170,000 USD What You Will Work On - Interview customers, analyze feedback and analytics data to identify user needs and pain points. - Propose new features and enhancements to solve user problems. - Win buy-in for your proposals across Product, Engineering, Data Science and Business teams. - Develop technical requirements. - Partner with Data Science to define estimation methodologies, validate model outputs against ground truth, and ensure the 'explainability' of our metrics for enterprise clients. - Daily collaboration with Engineering teams during development of new features. - Communicate functional and business details of future releases with less technical teams including Marketing, Accounts, Success and Documentation. What We Are Looking For - 7-8 years of professional experience, preferably with SaaS company in data or in data roles at mobile or F2P gaming. - Experience using AI in day-to-day operations or in shipping AI-native products. - Familiarity with BI industry players like Snowflake, AWS, Databricks, Tableau, Amplitude, Mixpanel. - Experience using data to drive decision making- you are comfortable making complex SQL queries against our analytics data. - College degree in Business or Computer Science, Master’s preferred. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Tokyo, Japan Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role:  The Account Director in Japan will manage and own the entire customer journey for our clients. You will be responsible for building strategic relationships, driving revenue through upsells, and ensuring renewals, your core KPIs. We are looking for someone with strong communication skills, self-motivation, and an entrepreneurial mindset.   You’ll serve as a trusted partner and advisor to clients, helping them maximize the value of the Sensor Tower platform while ensuring high satisfaction and long-term retention. This role requires someone who is proactive, commercially savvy, and passionate about customer success in a data-driven SaaS environment. You’ll work cross-functionally with product, marketing, and support teams to deliver a seamless and impactful customer experience.   Hybrid – 3 days in the office (Tuesdays, Wednesday and Thursdays) / 2 days work-from-home. What you will do: - Manage business in Japan and grow Net Revenue Retention (NRR) by managing renewals and upsells. - Have c-level discussions with customers and work on strategizing their use cases with our platform. - Create, manage, and implement Quarterly Business Reviews. - Proactively understand the clients’ business to provide competitive insights and trends. - Collaborate with global product, engineering and other technical teams to improve our product offerings in Japan. - Follow industry trends and interpreting these into day-to-day business impact. - Understand the product development cycle, being able to communicate between product teams and customers effectively to - manage expectations on feature requests and releases. - Identify product penetration, renewal, and upsell opportunities within the managed customer base. Experience you can bring: - Full fluency of the Japanese and English languages. - Experience in SaaS sales as a BDR, SDR, AE or Account Manager. - Strong understanding of Japan's brands, e-commerce or financial services industry and digital ecosystem. - Ability to identify product penetration, renewal, and upsell opportunities within the managed customer base - Ability to present complex data solutions in a clear and concise manner to a variety of audiences, including non-technical - Self-starting attitude and entrepreneurial spirit highly encouraged. - An eye for detail following the industry trends and interpreting these into day-to-day business impact. - Enjoy working in small, fast-paced teams where you can take initiative and accountability, and generate - results every day. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Beijing, China Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. We are looking for a Results-Driven Strategist - someone who views their quota as a commitment and actively seeks to iterate on sales strategies to ensure delivery.   Your deep experience must align with one of our core markets:   Gaming: You have strong knowledge and connections within the gaming industry and excel at value-based selling.   Global Brands & E-commerce: You have direct experience with going-global brands and e-commerce platforms, bringing strong industry connections and an understanding of value-based selling.   You will oversee the complete sales cycle, from identifying target accounts and prospecting to delivering pitches and finalizing contracts. You excel in collaborative settings and demonstrate a strong commitment to team achievement. What you will do: - Source and close new business to regularly meet and exceed quarterly sales goals.  - Developing market and product knowledge to drive new customer acquisition. - Sell SaaS-style platform licenses and customized solutions. - Quickly understand SensorTower data and platform, and how does it solve needs of their potential customersBuild strategic relationships with decision-makers.  - Prospect potential clients, perform presentations, build proposals, and close deals.   - Track and manage all sales pipeline, opportunity, and account activities in Salesforce Experience you can bring: - Strong experience in SaaS solution sales required. We particularly value candidates with expertise in either mobile gaming or brand/eCommerce sectors. - Consistently meet and exceed sales quotas and can back it up with solid references.  - Deep understanding of how to use data, analytics, and insights to tell a story during the sales process.  - Strong preparation, attention to detail, and ability to execute exceptional work. - Passionate, hunter mentality, tenacious, and ability to “think on your feet". - A senior mobile, digital, and SaaS network with a solid reputation and industry contacts.  - Ability to meticulously manage a pipeline, target new accounts, close business and handle follow-up via Salesforce. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Shenzhen, China Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. We are looking for a Results-Driven Strategist—someone who views their quota as a commitment and actively seeks to iterate on sales strategies to ensure delivery.   Your deep experience must align with one of our core markets:   Gaming: You have strong knowledge and connections within the gaming industry and excel at value-based selling.   Global Brands & E-commerce: You have direct experience with going-global brands and e-commerce platforms, bringing strong industry connections and an understanding of value-based selling.   You will oversee the complete sales cycle, from identifying target accounts and prospecting to delivering pitches and finalizing contracts. You excel in collaborative settings and demonstrate a strong commitment to team achievement. What you will do: - Source and close new business to regularly meet and exceed quarterly sales goals.  - Developing market and product knowledge to drive new customer acquisition. - Sell SaaS-style platform licenses and customized solutions. - Quickly understand SensorTower data and platform, and how does it solve needs of their potential customersBuild strategic relationships with decision-makers.  - Prospect potential clients, perform presentations, build proposals, and close deals.   - Track and manage all sales pipeline, opportunity, and account activities in Salesforce. Experience you can bring: - Strong experience in SaaS solution sales required. We particularly value candidates with expertise in either mobile gaming or brand/eCommerce sectors. - Consistently meet and exceed sales quotas and can back it up with solid references.  - Deep understanding of how to use data, analytics, and insights to tell a story during the sales process.  - Strong preparation, attention to detail, and ability to execute exceptional work. - Passionate, hunter mentality, tenacious, and ability to “think on your feet". - A senior mobile, digital, and SaaS network with a solid reputation and industry contacts.  - Ability to meticulously manage a pipeline, target new accounts, close business and handle follow-up via Salesforce. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Tokyo, Japan Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About the role Sensor Tower is seeking a dynamic and results-oriented Agency Partner leader to join our team. In this role, you will play a pivotal part in expanding our agency partner network and identifying brand partnership opportunities. You will be responsible for nurturing and converting existing agencies into the partnership model, as well as proactively identifying and pursuing new brand partnerships.   Hybrid – 3 days in the office (Tuesdays to Thursdays) / 2 days work-from-home. What you will do: - Manage a book of Agency business in Japan, identifying opportunities for growth within their portfolio of brands. - Have C-level discussions with agencies and work on strategizing their use cases with our platform. - Create, manage, and implement Quarterly Business Reviews. - Proactively understand the clients’ business to provide competitive insights and trends. - Follow industry trends and interpret these into day-to-day business impact. - Understand the product development cycle, being able to communicate between product teams and customers effectively to - manage expectations on feature requests and releases. - Identify product penetration, renewal, and upsell opportunities within the managed customer base. Experience you can bring: - Bachelor's degree in business, marketing, or a related field. - 6+ years of experience in partnership management, business development, or sales, preferably in the technology, SaaS, or agency industry. - Proven track record of building and maintaining successful partnerships. - Strong negotiation and communication skills. - Excellent analytical and problem-solving abilities. - Self-motivated and able to work independently while contributing to a collaborative team environment. - Familiarity with digital advertising, mobile app industry trends, general advertising and competitive landscape is a plus. - Full fluency of the Japanese and English languages. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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. 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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.

Задачи: — Разработка инструментов автоматизации процессов сборки, тестирования, внедрения — Построение пайплайнов разной сложности — Разработка сервисов интеграции с помощью брокеров сообщений и HTTP запросов — Разработка web-сервисов для пользователей — Поддержка созданных и текущих инструментов и сервисов Требования: — Опыт от 3 лет в DevOps / Platform / Tools development — Опыт работы с Kubernetes (деплой, Helm, базовый troubleshooting) — Опыт разработки на Python (коммерческий, не только скрипты) — Опыт написания Jenkins-пайплайнов (Groovy) — Уверенное знание Linux / bash — Опыт с Docker и Git — Понимание работы Nginx — Понимание брокеров сообщений (Kafka будет плюсом) — Готовность участвовать в разработке веб-сервисов (REST API) — Готовность поддерживать созданные инструменты и сервисы Будет плюсом: — Опыт с OpenShift — Опыт с Go или Java — Опыт с ArgoCD / GitOps — Опыт с Istio — Опыт работы с Jenkins Условия: — Полностью удалённый формат работы (только РФ) — Работа в крупном и стабильном финансовом холдинге — Возможность участвовать в развитии и поддержке сложных инфраструктурных решений