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

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

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

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

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're seeking an experienced Social Escalations Manager to be a founding member of a new pillar of our Operations organization: Community & Executive Escalations. This role is the front line of how Anthropic protects its reputation when high-stakes user issues surface on public social platforms.You'll help stand up the function from scratch and operate it day-to-day.  You'll actively monitor brand and product conversations, triage emerging issues, and own social escalations end-to-end. During live escalations, you'll build real-time social reports that turn data into actionable recommendations to resolve issues quickly and reduce reputational risk. The ideal candidate pairs deep fluency in the social analytics landscape with calm judgment under pressure, sharp written communication, and a bias toward action. Key responsibilities Build the team's playbooks, escalation criteria, tooling solutions, and SOPs to successfully manage social escalations Actively monitor public social channels for brand mentions, surfacing potential escalations and triaging them against defined criteria Own social escalations end-to-end during your coverage hours Communicate crisply with internal stakeholders: brief executives on live situations, give Comms partners the facts they need, and keep incident channels useful and current Build social reports in real-time, using the data to drive actionable recommendations that quickly and effectively resolve live incidents and reduce reputational risk Write clear post-escalation reports that capture what happened, what we did, and what should change—so the next escalation is easier than the last Help iterate on the team's playbooks, response templates, escalation criteria, and SOPs based on what you learn running real cases Minimum qualifications 6+ years of experience in social analytics, escalations management, customer support, or a related front-line operations role—ideally at a consumer or developer platform Deep knowledge of the social landscape and hands-on experience using social listening tools (query writing, alert design, API pipelines, report building) Excellent judgment under pressure and have a strong instinct for how issues spread across public social platforms Sharp written communication—you can brief a senior leader in three sentences and document an incident so the next responder can pick it up cold Comfort coordinating across functions in real time and influencing partners without positional authority A pattern-detection mindset—you spot the second-order issue beneath the first-order complaint and surface it to the right people Comfort with ambiguity and a bias toward action; this team is brand new and you'll be helping define what good looks like as you operate Excitement about protecting Anthropic's reputation and relationships at a moment when public attention on AI has never been higher The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $210,000 — $260,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Canada, Vancouver, BC Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Senior Control Engineer to join our Controls Team in Vancouver, focusing on SW control development and integration of robotic actuators and sensors. You will be responsible for designing, implementing, and validating joint- and actuator-level controllers that deliver high precision, responsiveness, and safety for complex robotic mechanisms. The ideal candidate has a solid background in control theory, strong software engineering skills in C++, and comfort working across the full stack from real-time embedded control up through networking, kinematics/dynamics, and browser-based debugging tooling. You will work closely with other control and hardware engineers to model, tune, and optimize the behavior of real robots and their subsystems (i.e. limbs and end-effectors).   WHAT YOU’LL DO Low-Level Control Development - Tune and validate actuator - and joint-space control loops (PID, feedforward, impedance/admittance, observers, state feedback) for multi-DoF systems in ROS2. - Work across EtherCAT/CAN and Linux networking (TCP/IP, DDS discovery, time sync) to ensure deterministic, safe real-time operation. - Implement safety and fault-handling mechanisms for dynamic conditions. Modeling, Kinematics & System Identification - Build and identify models of actuators, transmissions, and mechanisms — including parallel mechanisms like differential wrists/ankles — for control design and simulation. - Apply rigid body kinematics/dynamics and numerical IK/FK methods; work from URDF/Xacro and MJCF, interpreting mechanical drawings and geometry. Software & Systems Integration - Write real-time-safe, object-oriented C++ (lock-free structures, thread safety) for control and diagnostics. - Design and debug multi-layer control architectures. - Maintain CMake build/dependency tooling and Python test harnesses; build lightweight browser-based tools (HTML/JS/WebSocket) for hardware debugging. Sensor & Hardware Integration - Integrate and calibrate a range of sensors (F/T sensors, tactile sensors, IMUs, etc.) with real-time acquisition and processing across the control stack. - Hands-on hardware bring-up and debugging. Cross-Disciplinary Collaboration - Close the loop with mechanical/electronics engineers across sites on actuation requirements; - Support hardware bring-up, calibration, and performance testing.   WHAT WE'RE LOOKING FOR - M.S. or Ph.D. in Control Engineering, Robotics, Mechanical Engineering, or Electrical Engineering with 5+ years in robotic or mechatronic systems — equivalent practical experience counts. - Shipped real-time-safe, object-oriented C++ control software running on real hardware, in production or a serious research programme. - Tuned and validated controllers on physical actuators, including sensor calibration and bring-up — with a story about something that behaved nothing like the model and what you did about it. - Debugged at the fieldbus and OS layer: EtherCAT (PDO/SDO, timing constraints) or CAN, on an RTOS or real-time Linux. - Strong control theory foundation (linear/nonlinear control, stability, observers, state estimation, feedback/feedforward, filtering, frequency-domain analysis) applied to multi-DoF mechanisms via Jacobians, numerical IK/FK, and URDF/Xacro. PREFERRED QUALIFICATIONS - BLDC motor control (commutation, current control, torque optimization) - ros2_control internals (hardware interfaces, controllers, controller_manager, plugins, lifecycle nodes). - Parallel mechanisms specifically (differential wrist, parallel ankle), robotic hands, or other multi-DoF end-effectors. - System identification toolchains and simulation environments (MATLAB/Simulink, MuJoCo, Gazebo); MJCF. - Experience with dynamic system modeling and simulation at the actuator and transmission level. WHAT WE OFFER - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support. - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

Location: US - Culver City, California, United States; US - United States Scopely is looking for a Director, Slate Operations to join our Slate Development Group team in the US remotely or in Culver City on a flexible hybrid model. At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. Slate Operations keeps Scopely's game development slate moving. We oversee execution and cross-functional alignment across the games in development — connecting game teams and central teams so decisions get made once and stick, running the cadence that keeps everyone aligned, and clearing the path so teams can build. What You'll Do: We're looking for a Director, Slate Operations to own this end to end. There are two sides to it: keeping the Group running as an organization — its cadence, process, and the day-to-day support the Game Board, Head of Slate Development and leadership team rely on — and running program management for the Game Development Framework (GDF) so games move cleanly from concept to launch. You'll sit inside the Slate Development Group but work with every part of Scopely: game teams, divisional leadership, finance, strategy, and corporate development. Be the operational point of contact for specific in-development games — running the GDF cadence and connecting game and central teams so decisions get made once and aren't re-litigated. The main goal is to be the end to end steward for game teams in the game development framework. Deliver operational excellence within our internal team, shaping our service model, priorities, and ways of working. Evolve our capabilities as needs change. Drive the cross-slate operating model so independent game teams reuse what already works instead of rebuilding it. Bring structure to consequential decisions — organize the inputs, assumptions, and trade-offs early so the owners and the room can reach real alignment before committing. Own a capstone project — one meaty area you drive end to end, for example: evolving the GDF, owning launch readiness, or operationalizing central partnerships, depending on where the need is. Keep investment decisions well-informed — track progress across games at different stages, and surface Greenlight Case, budget, staffing, and dependency status so leadership can challenge and decide. Unblock teams through the development cycle, especially at launch readiness, by clearing operational issues with central partners (legal, IT, procurement, finance, logistics) so teams stay focused on the game. Partner with marketing, strategy, and divisional leadership so launches go out clean. Give teams operational support — production perspective, process, facilitation, and help navigating the GDF. Operationalize playtests and validation — help build and run research, playtest, and validation plans, and package the findings so vertical owners and leaders can form the recommendation. Utilize the latest AI technologies to keep information flowing — the dashboards, status, and key dates people need to see, without the overhead. What We’re Looking For: Bachelor's degree, MBA a plus — or the equivalent in experience. 10+ years in program/project management across tech and direct-to-consumer businesses, at least 5 of them in games, working within or alongside a development team. You know how games get made and sold — development, publishing, platforms, business models. You don't need to have shipped one yourself, but you get what game teams are up against. You've supported senior execs in a fast-moving environment and you like the pace — taking initiative, juggling priorities, switching gears without losing the thread. You can run a lot of projects at once, ideally a mix of R&D and live. You're comfortable in ambiguity and good at creating clarity for other people. You make sound calls in the company's interest and know when to escalate. You can hold your own with P&Ls and free-to-play KPIs. You spot the process that's slowing people down and fix it — and you'll push back and start the right debate when it matters. You build trust with all kinds of people at every level and don't flinch at the hard conversations — with the presence to grow into a partner to senior game leaders over time. You write clearly and fast, and you can build a strong deck with cross-functional input. Detail and organization come naturally to you. Low ego, business outcomes first, open to feedback — and genuinely curious about every part of the business. You play games and care about the industry. For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience. CA, CO, NJ, NY, and WA Annual Salary Range $139,400 — $205,000 USD About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. We are seeking a Cloud Engineer to design, build, and operate DRW's cloud and hybrid infrastructure across a diverse multi-cloud environment, taking ownership and accountability for the reliability, security, and performance of what you deliver. This role helps ensure our cloud infrastructure is secure, highly available, and optimized to support our continued success and growth. You will partner closely with engineering, security, networking, operations, and business teams to enable appropriate use of public cloud, private infrastructure, and hybrid architectures. What You'll Do : Platform Management: Manage and evolve cloud platforms, including but not limited to AWS, Microsoft Azure, Google Cloud Platform (GCP), Alibaba Cloud (AliCloud), and Snowflake, along with the associated hybrid and on-premises dependencies required to operate them reliably. Cloud Foundations: Design and maintain cloud foundations, including account/subscription/project organization, identity integration (federation, workload identity), policy guardrails, logging, tagging, and shared services. Operational Excellence: Serve as the escalation point for complex production and cloud/hybrid-infrastructure issues, owning root cause analysis and holding yourself accountable for durable fixes, engaging cloud provider and partner support teams as needed. Automation & Standards: Build and maintain automation, standards, reference architectures, and documentation that strengthen deployment consistency and enable teams to consume cloud services safely and consistently. Integration & Collaboration: Engineer and support resilient cloud connectivity, including transit architectures and connectivity between cloud providers and on-premises environments. Observability & Monitoring: Implement and improve observability across cloud services, including metrics, logs, traces, alerting, and capacity dashboards. Stakeholder Support: Advise application and infrastructure teams on cloud, hybrid, and on-premises architecture choices based on reliability, performance, security, and cost. Cost Management: Partner with Finance and Purchasing on cloud cost visibility, forecasting, and commitments, holding yourself accountable for the team's FinOps and efficiency goals. Continuous Improvement: Research, evaluate, and implement new cloud services and capabilities that improve reliability, developer experience, security, or efficiency. What We're Looking For: 5+ years of experience engineering and administering production cloud environments in multi-cloud and hybrid settings, with strong AWS experience, exposure to one or more of Azure, GCP, Alibaba Cloud (AliCloud), and Snowflake; and integration with on-premises infrastructure. Experience with infrastructure as code and automation, including Terraform, Python, APIs/SDKs, CI/CD, and Git. Strong knowledge of cloud networking, including VPCs, routing, DNS, firewalls, load balancing, private connectivity, and interconnect providers. Working knowledge of cloud security fundamentals, including IAM, encryption/key management, secrets management, and least-privilege design. Experience with cloud observability, monitoring, and alerting, and a proven ability to troubleshoot and resolve complex production problems while making sound decisions under pressure. Understanding of cloud cost models and practical approaches to cost allocation, optimization, capacity planning, and FinOps. Excellent communication and documentation skills, with the ability to learn quickly, take initiative, and adapt to changing technologies and business needs while working effectively across technical teams and cloud providers. A proven track record of delivering secure, scalable, and reliable cloud solutions, with strong ownership and accountability for production outcomes. Willingness to participate in a 24/7 on-call rotation supporting production cloud environments. Previous experience in financial services or trading environments is a plus. The annual base salary range for this position is $175,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-LD1]

Location: Anywhere in France, Belgium, Spain HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ THE ENGINEERING TEAM ⭐ In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of interactions. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. Want to know more? Read this article https://medium.com/alan/a-new-iteration-of-our-engineering-career-path-at-alan-f46f7b229b2d on our Engineering career path. 🛠️ THE STACK Python/Flask, Typescript, React, React Native on the coding side. AWS, GCP, Kubernetes, PostgreSQL, Redis, Terraform/Terramate, Datadog, Cloudflare, GitHub Actions on the platform side, all in a monorepo. We deploy daily and believe in distributed ownership - you build it, you own it. 🤖 THE INFRA CREW - WITHIN THE TECH FOUNDATIONS AREA 🎯 Mission: - Tech Foundations - enables product crews and creates the environment to thrive, combining world-class infrastructure, intuitive developer experience, exquisite operational excellence, and built-in security to make shipping exceptional products effortless. - Infra - is one of its crews. Its mission: operate and evolve the foundations Alan runs on (multi-cloud infrastructure, data platforms, observability, and the operational practices around them) so that product crews ship safely and quickly, members never feel the platform underneath, and the business can expand to new countries without re-inventing how we run. 🔭 Scope: 1. Cloud foundations & multi-cloud architecture: own and evolve Alan’s cloud footprint, Infrastructure-as-Code stack (Terraform, Terramate), and the architectural decisions enabling international expansion. 2. Data & application platforms: operate and evolve the foundations product crews build on: PostgreSQL/Aurora, our events pipeline, async workloads, and database migration tooling, without leaking complexity into product code. 3. Reliability, observability & on-call: own Alan's platform uptime and latency SLOs end-to-end. Evolve our observability stack (Datadog), the incident response process (Incident.io http://Incident.io), and the shared on-call rotation across the area to keep it sustainable as we scale. 4. Governance & compliance enablement and FinOps: own the cross-cutting concerns no single domain holds, infrastructure cost (FinOps), IAM posture, backup and disaster recovery, exit strategy, with automation and reporting that scales beyond the crew. 5. AI-augmented infrastructure operations: make AI assistants a first-class citizen for incident investigation, runbook execution, and toil reduction, so engineers spend their time on high-leverage work. 👀 Focus for 2026: In 2026, we're growing the team significantly to step up impact across four bets: - Multi-cloud expansion: revisit our cloud strategy as we go international, and launch new geographies. - Decoupling for scale: evolve service architecture to carry Alan 2.0 from 1M members today to 10M. - Operational excellence: raise the quality bar end-to-end by overhauling observability, on-call, and cost management practices. - AI-augmented infra ops: make AI assistants a first-class part of investigation, troubleshooting, and toil reduction, so engineers spend time where leverage is highest. ⭐ IS IT YOU WE’RE LOOKING FOR? EXPERIENCE WE VALUE - 3+ years in Platform engineering, DevOps, Site reliability engineering or equivalent roles. - You have strong experience with cloud platforms (especially AWS or GCP). - You're comfortable writing code for automation and tooling (e.g. API, internal command line, developer portal) and willing to work in Python/Typescript (but you don’t need to have experience with those 2 languages!). - You have touched observability, monitoring, alerting or incident management tools and practices. - You are able to design and implement robust infrastructure systems with a focus on reliability and observability. - You can maintain our uptime targets while optimizing infrastructure costs. - You’ve built and maintained internal or external tooling (e.g. API, web interface, internal command line, configuration as code, etc) for other engineers. MINDSET WE VALUE - You treat infrastructure and platform engineering as product work: engineers & members are your customers, and infrastructure should feel effortless. - You’re hands-on: writing code is the bulk of the job (Python, TypeScript, Terraform). You ship what you write to production yourself, then operate it: rollouts, alerting, on-call, incident response. - You're an enabler: you measure your impact by how fast product crews ship features without ever consulting you. The harder you've worked, the less they have to engage you. - You build reusable patterns: guardrails, libraries, and reliable-by-default abstractions that prevent outages and runaway cost at scale. - You’re fluent in English (French is not required). For this opportunity, we are aiming to hire above C1 level range https://medium.com/alan/a-new-iteration-of-our-engineering-career-path-at-alan-f46f7b229b2d. But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. 🌍 HOW WE WORK - Location: You must be legally eligible to work in France, Belgium, or Spain. - Remote work: We offer remote work flexibility, but we value in-person collaboration 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work #LI-DNP

Location: Remote Who we are Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase. With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once. Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love. If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us. Hours & location 🌎 While we hire almost anywhere in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week. Preferred locations: USA Why this job is exciting Sourcegraph is at the forefront of building AI tools to solve the biggest problems in the software industry, problems that only get bigger as codebases grow and as more of the work is done by agents. The Code Understanding team owns the surfaces where that intelligence meets the developer: Deep Search , our agentic, multi-step answer engine across an enterprise's entire lineup of codebases, Query Assist , turning natural language queries into Sourcegraph query syntax, Smart Hovers , concisely summarizing symbols right where devs need it, guided diff review, and the APIs that both humans and AI agents rely on every day. Most of what makes those surfaces tick is agent engineering : a blend of software engineering, machine learning, and statistics. Agent engineering tells us which model to use and when, how to retrieve and pack context, how to measure answer quality, where to fine-tune or distill a smaller model to cut costs and latency, and how to expand a single LLM call into a reliable multi-step agent. As the staff ML and agent engineer on Code Understanding , you'll be the technical owner of it: setting the tam’s direction for models, evaluations, and agentic systems, making our products measurably better, faster, and cheaper, and raising the team's fluency in building with models. This is a staff-level role : we're hiring a technical leader, not just a strong individual contributor. The primary need is a production ML and evaluation authority who also builds production agent systems. You'll own the hardest, most ambiguous problems in this space, set standards others follow, and influence direction beyond your immediate team. You'll get the exhilarating chance to drive the vision on how we can provide the best code understanding experience on the market by combining our deterministic, large-scale systems and AI into experiences never seen before. Concretely, you'll own work like: Agentic systems. You'll design and harden the multi-step, tool-using agent loops behind current and new agentic experiences, turning research and experiments into reliable, observable, and affordable products at enterprise scale. Pragmatic use of evaluations. Crafting agentic products means needing to tell when a change actually helped, which is hard when agents keep changing and the product keeps shifting. You'll bring judgment about where evaluations earn their keep, when to use targeted smoke tests and metrics, and how to avoid noise dressed up as rigor, so we can move fast with confidence. Models: selection, upgrading, and training. You'll decide which models we run where, drive upgrades, and fine-tune our own when that's the right call. Retrieval and context engineering. You'll push on how we ground models in a customer's code - retrieval, ranking, context windows, citations - to make answers more accurate and verifiable. Cost and latency. Every surface has a per-user economic budget. You'll treat cost and latency as product features, and profile, distill, cache, and right-size models so we can ship ambitious features sustainably. You'll do this on a small, senior-leaning team that ships quickly, owns a lot of product surface, and has streamlined product management: engineers here talk to customers, frame the problem, and own it end-to-end. You'll have real agency over technical direction and a direct line to the impact of your work. 📅 Within one month, you will… Get the Code Understanding products and their model/agent pipelines running end-to-end locally, and land your first improvements to a model, prompt, retrieval path, or eval. Build a clear picture of where the AI engineering pain is, and the product surfaces most constrained by them. Get to know the team and our customers, and start forming your own opinions about where our agentic products should go next. Join the team's on-call support rotation. 📅 Within three months, you will… Own a meaningful agentic slice of the product end-to-end, driving it from problem-framing through rollout and measurement. Establish how the team ships model and prompt changes responsibly: the evals, dashboards, and guardrails that make quality and cost regressions visible before customers feel them. Begin up-leveling teammates in building with models by pairing with them, reviewing their code, and modeling good agent engineering instincts. 📅 Within six months, you will… Be the recognized technical authority for agent engineering and agentic systems on Code Understanding. You will be the person teammates, and increasingly the wider department, defer to on model, eval, and agent-design decisions. Have measurably moved the products: better answer quality, lower cost/latency, or new agentic capabilities that weren't feasible before. Be setting the direction of the team's roadmap where it intersects agents, bringing conviction, backed by evidence, about which bets are worth making, and pulling other engineers up to execute on them. About you You are a staff engineer and technical leader with hard-won skills across production machine learning, evaluation, and agent systems . This high-leverage role relies on your ability to make sound model and evaluation decisions for a fast-moving product, build the production systems around them, steer technical direction, and be a force multiplier for a talented, product-minded team. You're equally comfortable reasoning about an eval harness, a fine-tuning run, a retrieval pipeline, and the multi-step agent loop that ties them together, and you make everyone around you better at all of it. You operate at staff scope: you own the most ambiguous, highest-risk problems in your domain, go into whatever codebase a problem requires, set standards and patterns others adopt, and translate fluidly between engineering goals and business objectives. You influence direction beyond your immediate team. You lead through technical excellence and mentorship. You have personally owned a production model lifecycle. You have trained or fine-tuned at least one model and taken it from dataset construction through evaluation, production rollout, and monitoring. You can explain how you chose between training or fine-tuning and prompting or retrieval, how you chose baselines and metrics, what error analysis revealed, and how production evidence affected the next version. You build agents, fluently and opinionatedly. You've designed multi-step agentic systems and made them reliable, observable, and cost-bounded. You have a point of view on where agents shine and where deterministic code or human judgment is required. You have strong evaluation judgment. You build representative datasets, meaningful baselines, useful error taxonomies, and release criteria that connect offline measurements to production behavior. You know where rigorous evaluations earn their keep, where lightweight smoke tests or qualitative review are enough, and where a precise-looking metric is misleading. You treat cost and latency as product constraints. You make measured quality, latency, and cost tradeoffs and use the appropriate combination of model selection, prompting, retrieval, caching, distillation, and fine-tuning rather than reaching reflexively for a more complex model. You operate autonomously on ambiguous problems. Given a rough product idea, a few customer quotes, and a Slack thread, you come back with a plan, a prototype, milestones, and a point of view on tradeoffs, without it being pre-scoped. You own high-technical-risk projects end-to-end. You contribute beyond your domain. As a senior IC, you go into whatever part of the codebase a problem requires, recognize issues beyond your immediate area, and translate between engineering goals and business objectives. You up-level the people around you. You mentor by pairing on hard problems, providing substantive design and code reviews, and spreading agent engineering literacy across the team. You see investing in your teammates' growth as part of the job. You're customer and product-driven. You're comfortable on customer calls and in feedback threads, you turn raw signals into requirements, scopes, and milestones, and you push back when feedback would lead the product astray. You're pragmatic, not a perfectionist. You ship the smallest correct thing, prefer robust solutions over complicated ones, and keep a high-quality bar with simplicity. On the engineering fundamentals: You're a strong software engineer who can ship production services. You're comfortable across our stack - Go on the backend, TypeScript on the frontend, GraphQL, Postgres, Docker - or you're clearly able and eager to get there. You're fluent with agentic coding tools, and you understand and own every line it submits. You're comfortable in an async-first, multi-service, fast-paced remote environment. Nice-to-haves: You've shipped an LLM-powered or agentic developer-facing product you can speak about opinionatedly: what worked, what didn't, what you'd do differently. You've fine-tuned, distilled, or trained models to meet cost, latency, or quality targets in production. Experience with retrieval, ranking, embeddings, or search relevance. Experience working directly with enterprise customers and translating their needs into a product. Experience mentoring or up-leveling engineers, especially raising a team's agent engineering fluency. Level 📊 This job is an IC4. You can read more about our job leveling philosophy in our Handbook. Compensation 💸 We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an open and transparent company, our compensation philosophy and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive. Your base salary is determined by the IC4 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone. 💰 The starting salary for the IC4 pay band in each zone is: Zone 2: $176,000 USD Zone 3: $132,000 USD Zone 4: $88,000 USD 📈 In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous perks & benefits . Interview process Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all! We expect the interview process to take 5.5 hours in total. 👋 Introduction Stage - we have initial conversations to get to know you better… [30m] Recruiter Screen [30m] Hiring Manager Screen 🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners… [60m] Resume Deep Dive [60m] System Design [60m] Harden a Code Research Agent Interview [60m] Cross-functional team collaboration / Values 🎉 Final Interview Stage - we move you to our final round, where you gain a better understanding of our business and values holistically… [30] Leadership We check references and conduct your background check Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process. Learn more about us You can learn more about what it is like to work at Sourcegraph by reading our handbook . We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our culture , competitive compensation and benefits here. Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds. Sourcegraph participates in E-Verify for U.S. Employees.

Location: Tashkent Workplace: remote <Job Title> – <City or Country> (use Heading 3 Font and Bold) The Role: (Use Normal and Bold) Description use Normal The main responsibilities of the position include: Define and create country - specific marketing strategies. Develop and implement demand and lead-generation marketing & rollout plans for the Uzbek Market. Launch marketing campaigns as well as evaluate success and deliverables based on KPIs. Assist the Marketing and the Business Development functions to carry out market research during the country penetration stage, in respect to the country’s ethics, culture, customs, etc. Provide support for marketing events and exhibitions as required. Assist in the ongoing marketing activities as well as support the marketing team and other regional teams as necessary. Manage the regional marketing team and handle relevant delegated projects. Stay on top of current trends and best practices. Perform any other related tasks as assigned by the Business Development Manager. Main requirements: Degree in a marketing, advertising, communications or a business-related field. At least 4 years of experience in a similar role. Native Uzbek and Russian speaker and very good knowledge of English. Solid experience with managing teams. Excellent knowledge of marketing analytics and metrics features. Strong digital marketing skills. Strong project management skills will be considered an advantage. Outstanding communication and interpersonal skills. Highly organised and ability to multitask. Dynamic and target oriented. Benefit from: Attractive remuneration package plus performance related reward. Intellectually stimulating work environment. Continuous personal development and international training opportunities. The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Test your edge – Aptitude Assessment Deep Dive – First Interview with Your Future Team Bring It to Life – Role-Specific Take-Home Task Get Closer – Second Interview with the Future Team Test your edge – Personality Assessment Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Workplace: remote Location : Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world. Responsibilities : 1. Technical and Database Assessment Review Data In-Licensing requirements, workflow maps, data flows, data lineage, entitlement rules, and dependency records. Assess relational database platforms, schemas, connectivity methods, interfaces, drivers, service identities, query patterns, and downstream consumption. Identify where licensed data is stored, transformed, replicated, extracted, cached, archived, or backed up. Assess current database security capabilities and identify gaps, constraints, risks, and prerequisites. 2. Data-Level Authentication and Identity Integration Assess authentication for named users, service identities, workloads, and analytical tools accessing databases. Evaluate OAuth/OIDC or other identity- and token-based authentication directly to the database where supported by the selected technology. Design integration between enterprise identities, security groups, project groups, database principals, roles, and policy engines. Reduce reliance on shared or long-lived credentials where feasible and define secure credential or token handling for unavoidable exceptions. Align with tools currently available and identify gaps if any, 3. Fine-Grained Authorization and Data Firewalling Design database-level controls that restrict access to explicitly authorized users, groups, services, projects, or licensing populations. Design and implement row-level security, column-level security, dynamic masking, views, policy-based filtering, or equivalent controls as appropriate. Define isolation patterns for different licensed datasets and agreements while preserving permitted platform use for other users. Ensure controls are consistently enforced as close to the data layer as technically feasible and are not solely dependent on application logic. 4. Auditing, Monitoring, and Traceability Design database auditing to capture who accessed data, what was accessed, when access occurred, and which identity or service was used. Define logging for queries, exports, failed access attempts, permission changes, and privileged activity where supported and required. Integrate audit telemetry with appropriate monitoring and reporting capabilities and define retention and evidence requirements. Validate that audit records are searchable, attributable, protected from inappropriate modification, and useful for investigation. 5. Data Lifecycle, Revocation, and Deletion Design controls for access revocation when users change roles, leave a project, or when licensing rights expire. Design methods to identify and remove licensed data from primary stores and relevant downstream copies, extracts, caches, or derived stores. Address deletion implications for referential integrity, backups, archives, replication, recovery processes, and downstream consumers. Define validation, exception handling, and evidence mechanisms to demonstrate that required deletion activities were completed. 6. Solution Architecture and Engineering Translate requirements into current-state and target-state architectures, technical specifications, security patterns, and implementation plans. Compare solution options and document trade-offs across security, feasibility, performance, scalability, operability, cost, and technology constraints. Define database connectivity, policy-enforcement, identity, audit, monitoring, lifecycle, and integration components. Collaborate with database, IAM, security architecture, infrastructure, application, data platform, governance, and scientific teams. 7. POC Design and Execution Select suitable relational database and workflow candidates that represent Data In-Licensing scenarios and material technical risks. Define POC architecture, test data, test identities, success criteria, negative tests, performance considerations, and rollback approach. Implement and validate identity-based authentication, fine-grained authorization, data firewalling, auditing, access revocation, and deletion scenarios. Document outcomes, limitations, operational considerations, reusable patterns, and recommendations for broader adoption. What we expect : Expected Deliverables Technical assessment of databases, integrations, identities, and data flows Current-state database security and capability assessment Target-state data security architecture and detailed technical design Database authentication and identity-integration design Row-level, column-level, masking, and policy-enforcement design Data firewalling and licensed-dataset isolation pattern Audit, monitoring, traceability, and reporting design Access revocation, retention, lifecycle, and deletion design Solution options, feasibility, gap, dependency, and risk assessment POC architecture, implementation, test results, and recommendations Reusable implementation patterns and operational handover documentation Required Technical Skills and Experience Strong hands-on experience with relational databases, SQL, database architecture, schemas, roles, privileges, and access paths. Practical experience implementing database-level authorization, including row-level and column-level controls or equivalent fine-grained mechanisms. Strong knowledge of database authentication, IAM, OAuth 2.0, OIDC, tokens, service identities, workload identities, and secrets management. Experience designing secure database connectivity and integrations for applications, analytical tools, APIs, ETL/ELT, and data pipelines. Experience with database auditing, query/activity monitoring, centralized logging, alerting, and investigation support. Understanding of data lineage, lifecycle, retention, revocation, deletion, backup, archive, and recovery implications. Ability to evaluate heterogeneous database technologies and design platform-appropriate controls. Strong architecture, engineering, troubleshooting, documentation, and stakeholder-collaboration skills. Nice to have : Experience with enterprise data platforms, cloud or hybrid databases, data catalogs, access governance, and policy-enforcement technologies. Experience in pharmaceutical research, scientific data, intellectual property protection, data licensing, or another regulated environment. Experience designing and executing security POCs and converting validated patterns into production-ready designs. Knowledge of privacy, contractual-use restrictions, segregation, and evidence requirements affecting licensed data. We offer : Competitive compensation Remote work Flexible working hours Continuous education, mentoring, and professional development programs A team with an excellent tech expertise

Location: Remote (Ukraine) Workplace: Remote [https://app.ashbyhq.com/api/images/user-content/d5fc9a0c-9608-448b-b96f-2a4966f020bf/22af23bd-cec1-4e6e-b453-ff4cb3299c8e/G_LINK_OWN_COVER_1.png] About us: Gismart is a value-driven mobile app developer with a strong presence in the Health & Wellness, Utilities, and Music app markets. We have achieved a significant milestone of over 1 billion downloads worldwide, taking a step toward our mission of cultivating the well-being of people worldwide. With headquarters in London, UK, Gismart is a dynamic global company with a reach extending across Europe and far beyond. Our determined team comprises over 400 individuals who bring diversity, creativity, innovation, and relentless drive to the company. Gismart unites professionals from diverse backgrounds in entertainment, music, and tech, allowing us to play to each other’s strengths and succeed as a team. Our mission: Become a stepping stone on our customers’ journeys of self-improvement. Our values: - Deliver what matters - Respect and support others - Initiate and own - Voiceopenly - Execute with quality If you are passionate about mobile app development and want to join a company that’s reshaping the industry, Gismart is the place for you. We provide exciting career opportunities, a supportive workplace culture, and the chance to contribute to a team that is making a tangible impact. For more information on Gismart, visit gismart.com http://gismart.com. About project Testora is a self-discovery app that helps users explore and analyze their personality, intelligence, relationships, and career strengths through engaging tests. The app offers personalized challenges, progress reports, and habit tracking, making Testora your go-to tool for self-awareness, stronger relationships, and personal growth. Responsibilities: - Developing creative strategies and concepts for promoting the mobile application - Working closely with the Product, UA team to identify key features and advantages of the application, try different collaborative approaches to boost the performance - Optimizing creatives based on analytical data and user feedback - Conducting competitors research to analyze best practices on the market - Creating advertisements for META, Google and other networks - Organizing brainstorms with the team - Writing the briefs for UGC, evaluating results, making reworks to increase the results - Collaborate with designers and illustrators to quickly test ideas - Ability to balance creativity with performance goals - Strong ideation skills combined with structured thinking - Understanding of modern trends across social media platforms Requirements: - Experience as a creative producer in the performance marketing (would be nice: field of healthy lifestyle, nutrition, or fitness) min 6 months (1 year+ will be an advantage) - Data-driven approach - Deep understanding of the target audience and their needs - Ability to create and implement performing creative strategies - Ability to create engaging and informative creative strategy and content that effectively attracts users - Experience with analytics and optimization of creatives - Excellent communication and organizational skills - Independency and willingness to push the processes - Flexibility and adaptability to fast changing - English minimum B2 level Employee Benefits: - Remote-First Culture: Our team is diverse and extensive, just like our product portfolio. We provide a flexible working schedule and let you work anywhere in the world, either remotely or in one of our corporate hubs - Сoworking Compensation: We provide 100% compensation for coworking spaces in Ukraine (except Kyiv, where we have a cozy and autonomous hub) and 50% compensation for coworking spaces worldwide to make sure that everyone has a comfortable and inspiring workspace - Free Office Lunches: We want you to stay fueled and focused, so we provide delicious free lunches for everyone working from our hubs. It’s one less thing for you to worry about during a productive workday - Public Holidays Policy: Gismart observes public holidays based on the Ukrainian or Polish holiday calendars. Employees working in other locations are entitled to 12 public holidays per year - 100% Sick Leave Compensation - Mental and Physical Health: To help you stay happy and healthy, Gismart will partially cover your medical insurance, sports activities, therapy costs - Personal Equipment Policy: Of course, we’ll provide you with all the equipment you need or cover the maintenance cost for your own tools - Personal Learning and Development: We love to see you learn and grow, so Gismart will cover 70% of your professional development courses. We’ll also pay for 100% of corporate English courses - Time-Off Policy: Every employee gets 18 working days of paid vacation and 3 personal days per year, with an extra day added for each year at Gismart - Corporate Events: We are remote-first, but we love meeting up in person. Whenever possible, we organize corporate events and team-building activities across all Gismart hubs

Location: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Warsaw, Poland; Yerevan, Armenia Do you care about building a user base from scratch, testing unproven acquisition channels, and implementing wild ideas beyond paid search? Are you enthusiastic about shipping now, preferring to go live with rough ideas today over polishing presentations for next month? If so, this is the role for you. In this role, you’ll join the team building Qure , an AI copilot for web testing automation. This desktop app turns manual testing flows into production-ready automated scripts, saving hours of manual coding. We’re a seven-person team funded directly by JetBrains. About JetBrains Innovation Hub JetBrains builds software development tools used by more than 15 million people, over 300,000 companies, and 88 of the Fortune Global Top 100. Innovation Hub is its internal startup incubator, where small autonomous teams build new products, funded and employed by JetBrains. Qure runs inside the Innovation Hub with its own roadmap, go-to-market strategy, and customers. For you, that means a founding role without the runway risk. You build acquisition from zero, with the funding, benefits, and stability of an established company behind you. What you’ll do Qure is a fresh product, so the acquisition channel map is practically blank. Paid search, video, newsletters, marketplaces, paid communities, and content are all unproven for Qure. We need someone to determine how best to find its audience. With a high degree of freedom, a lean team, and no marketing bureaucracy, decisions you make on Monday go live by Wednesday. Day to day, you will: Run parallel channel experiments across paid search, video, communities, and organic traffic to discover what actually converts. Shut down underperforming channels early using your own data to ground the decision. Produce your own marketing assets, including ad copy, screen recordings, and landing pages. Work directly with the product team to ship acquisition-focused product requirements, such as custom onboarding flows or free tools. Build and maintain end-to-end funnel tracking, from a user’s initial click to aha moment to LTV. What you’ll bring Comfort operating without a playbook and deciding what to test when acquisition channels are entirely unproven. Honesty about performance, with the discipline to cut underperforming channels based on data before anyone asks you to. A bias for action that favors shipping functional campaigns quickly over prolonged polishing. What you’ll need Demonstrated success growing self-serve products with direct responsibility for user activation. Experience managing marketing budgets across channels and reallocating spending based on user acquisition economics. The capability to create your own creative assets – including copy, landing pages, and product demos – without relying on external agencies or designers. Daily experience using LLMs in your own work for research, creative drafting, and data analysis, with the judgment to know when they help or hinder work. Experience working inside a startup or a small, fast-moving product team. Experience doing marketing for developer tools, QA products, or AI tools is a plus. What success looks like In your first three months, success means establishing a fully measurable acquisition funnel from a user’s first click to the aha moment. You will have run parallel channel experiments, determined the true cost per active user or B2B lead, shut down non-viable channels, and identified one or two channels worthy of significant investment. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work location. Enjoy the freedom to work from home or from the office. Remote work. Spend up to 30 days per year working remotely from abroad. Extra time off. More days to relax, recharge, and do the things you love. Medical insurance allowance. Enjoy peace of mind for you and your family Learning and development opportunities. Access to conferences, courses, and language classes. Language classes. Pick up the local language or sharpen your English skills. Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. Mental health support. To help you feel your best, we provide easy access to professional mental health services. Sports benefit. Enjoy an on-site gym or sports club stipend. Internal events. Join company-wide celebrations and team gatherings. *Some benefits may vary depending on location. If this sounds like the right challenge for you, submit your application and let's talk. #LI-DNI We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: Limassol, Cyprus Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. This Junior Recruiter role will be responsible for developing sourcing strategies, conducting direct searches, and building strong candidate pipelines to support hiring across expansion markets. Responsibilities Develop and execute sourcing strategies for expansion hiring. Conduct direct candidate searches across senior and executive-level roles. Build talent maps and identify relevant companies and candidate pools in target locations. Proactively engage candidates through LinkedIn Recruiter, Boolean search, professional networks, and other sourcing channels. Provide market insights on talent availability, candidate expectations, competitors, and local hiring challenges. Partner with Lead Talent Partners to refine search criteria and build strong candidate pipelines. Maintain accurate candidate and sourcing data in the ATS. Requirements Experience in candidate sourcing or research, including ideally senior/executive-level roles, or equivalent research-intensive experience across international markets. Strong Boolean search and LinkedIn Recruiter (or equivalent sourcing tool) capability. Experience in review resumes, applications, and conduct initial phone or video screens to evaluate basic qualifications of the candidates. Comfort working across multiple, unfamiliar geographies and regulatory contexts. Strong attention to detail and ability to synthesize research into clear, structured candidate profiles. Prior exposure to fintech, CFD/FX, or other regulated financial services sourcing will be a plus. Experience in working Lever, LinkedIn and similar ATS/tracking tools will be a plus. Experience in using AI tools will be a plus. Fluent English, both spoken and written. What you will get in return: • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.

Location: New Delhi WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: This is a highly unique opportunity for a Data Scientist to join a new and rapidly growing intraday team. In this role you will partner with our close-knit team of quantitative researchers, data engineers, technologists and data sourcing colleagues to research, engineer, and validate quantitative signals derived from high-frequency equity market data across multiple global markets, while owning the full lifecycle of a signal, forming a hypothesis about what market behavior predicts, engineering it into a feature, validating it with data, and shipping it into a production research platform. This is a research-focused data science role with meaningful hands-on coding and implementing signals within our internal framework. Key responsibilities include: Research and engineer features from raw, high-frequency market data, translating market behavior hypotheses into quantitative signals. Implement signals within our internal simulation/backtesting framework, iterating between exploratory data analysis and framework-based implementation. Validate features through backtesting across historical data, checking behavior across different markets, regimes, and edge cases (e.g., market open/close, low-liquidity periods). Collaborate with research and engineering teams to align on implementation approaches, validation standards, and research decisions. Explore new and existing data sources to identify candidate signals worth developing further. Becoming a domain expert on different deep learning and machine learning applications for high frequency data, analyzing & understanding the underlying dynamics, market microstructure and behaviors within the data. Develop insights based on the data and collaborate with the research team to generate tradable Developing the utility tools that can further automate the software development, testing and deployment workflow. What You’ll Bring: Strong academic background – minimum of a bachelor’s degree in a technical or quantitative field. Strong data science background, with experience turning noisy, real-world data into validated, well-behaved signals or models. Rigorous quantitative programming skills, with the discipline to write accurate, production-quality, and performance aware code, including low-latency implementations where needed. Prior experience with C++ is a plus. Working knowledge of financial markets and how trading/market data behaves, or strong aptitude to learn it quickly. Prior market microstructure knowledge and experience with dark pools, trading and exchange data is a plus. Practical experience with and theoretical understanding of deep neural networks and other machine learning techniques in high frequency domain is a plus. Comfortably making pragmatic modeling tradeoffs under ambiguity while clearly articulating the reasoning behind them with data. Exceptional analytical & problem-solving abilities, with a strong attention to detail. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Remote Singapore Workplace: Remote About the Starknet Foundation The Starknet Foundation is the steward of Starknet, a permissionless validity rollup designed to scale the world’s most important blockchains without compromise. Having pioneered ZK-STARK technology to scale Ethereum, we are now entering a new era as the first network to settle simultaneously on both Bitcoin and Ethereum. Joining the Starknet Foundation now places you at the epicenter of this pivotal phase and offers a rare, ground-floor opportunity to shape how Starknet's core growth verticals evolve: from BTCFi and privacy to quantum resistance and real-world assets. This is a unique chance to build the infrastructure that turns the world's most secure assets and most sensitive use cases into productive, scalable capital for a billion users, and it requires exceptional talent. We're looking for people who think in systems, operate well in ambiguity, and are motivated by long-term impact over short-term wins. If you want your work to outlast a market cycle and define how decentralized systems actually scale, this is the place to do it. About the Role: We're hiring a senior deal-maker for our Growth team. You'll own strategy and execution across Starknet's priority verticals (such as Privacy, Bitcoin, Quantum, and RWA) and work at the intersection of commercial negotiation and structuring. That means building the financial models and incentive structures (revenue share, token incentives, vesting, earn-outs) that make a partnership work for both sides, not just sourcing the relationship. We're looking for someone who has done this kind of structured deal work professionally, eg: at a top-tier bank, consultancy, or law firm, and has since developed real crypto/DeFi fluency and relationships, rather than someone whose entire background is Web3 BD. If you've negotiated complex commercial terms from term sheet to close and want to apply that skill set to the highest-leverage infrastructure decisions in crypto, this role is built for you.   What You’ll Bring - Senior generalist with a proven ability to operate cross-functionally across strategy, BD, partnerships, and product development. - Demonstrated ability to build complex financial models, structure incentive/economic terms (e.g., token incentive design, revenue share, earn-outs, vesting/cliff structures), and negotiate multi-party commercial agreements from term sheet to close. - Crypto and DeFi native with minimum 5+ years of experience. - Ideal background in banking, management consulting or legal training, with experience at a Tier one company within the industry. - Strong commercial and research skills, including the ability to build clear business cases and financial models. - A deep crypto network and a track record of building senior relationships with DeFi protocols, LPs and financial institutions that generated revenue/growth. What You Need To Succeed - Self-starter with high energy, motivation, and ambition. - Comfortable defining success for a specific vertical, identifying gaps and reallocating efforts toward the highest-value opportunities. - Proven ability to influence senior executives and work effectively with stakeholders across the organisation. - Strong deal experience and negotiation skills What You’ll Do - Take ownership of strategy and execution across the Growth team's priority verticals (Privacy, Bitcoin, Quantum, RWA), with the flexibility to shift focus as new opportunities and priorities emerge. - Identify, negotiate and manage partnerships end-to-end to extend and strengthen Starknet’s infrastructure stack. - Develop commercial proposals that drive growth across the Starknet ecosystem. - Work with product, ecosystem and marketing teams to identify and build new solutions that drive partner ecosystem success. - Partner with legal, finance, and operations teams to support existing and upcoming partnerships. - Represent Starknet at conferences and industry events to enhance visibility and connection to top-tier projects. Location: We are a globally dispersed, remote-first organization. However, for this role we are partial to candidates based and with networks in: APAC (Singapore/HK) and NYC.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Switzerland About the Role We are seeking a highly accomplished and strategic Named Account Executive to join our Swiss Sales Team, focused on the German-speaking market. In this senior role, your primary mission is new logo acquisition — identifying, pursuing, and closing net-new strategic enterprise accounts across German-speaking Switzerland — while also driving deep platform adoption and expansion within a defined portfolio of existing accounts. The ideal candidate possesses a sophisticated blend of enterprise sales expertise, executive presence, and genuine technical fluency, enabling them to lead engagements at all levels, from the C-suite to senior technical leaders including CISOs, CTOs, and Heads of Infrastructure. As a Named Account Executive, you will own your account portfolio end-to-end. You will build multi-year account plans, orchestrate virtual deal teams across Solution Engineers, Deal Desk, Legal, and Product, and position Cloudflare as a critical long-term platform partner for some of Switzerland's most strategic enterprises. You will engage at board and executive level, lead complex multi-stakeholder sales cycles, and consistently exceed new logo and expansion targets. In line with Cloudflare's AI-native culture, you will be expected to leverage AI tools actively in your daily workflow — from prospect research and executive outreach to account planning, meeting preparation, and pipeline management — using them as a genuine force multiplier, not an afterthought. Responsibilities New Logo Acquisition : Drive the identification, pursuit, and closure of net-new strategic enterprise accounts as the primary focus of this role. Build a robust pipeline of high-value prospects through targeted executive outreach, ecosystem engagement, partner channels, and referrals. Consistently bring new logos onto the Cloudflare platform and exceed new business targets each quarter. Strategic Account Planning : Develop and execute comprehensive, multi-year account plans for both net-new targets and existing named accounts, with clear prioritisation of new logo opportunities. Maintain a detailed, current view of each account's strategic priorities, buying processes, competitive landscape, and Cloudflare's position within them. Executive Relationship Management : Build and sustain long-term, trusted relationships at CISO, CTO, CIO, and board level. Act as a genuine strategic advisor across the full lifecycle of the relationship — bringing proactive insight and a strong point of view, not just responding to RFPs or renewal triggers. Complex Sales Cycle Leadership : Lead sophisticated, multi-stakeholder enterprise sales processes across legal, procurement, technical, and executive buying centres simultaneously. Demonstrate a nuanced understanding of enterprise buying behaviour and apply it to drive net-new deals forward with precision and appropriate urgency. Deep Customer & IT Architecture Understanding : Develop a thorough understanding of each prospect's and customer's technology environment — including cloud strategy, security posture, compliance requirements, and AI and ML infrastructure. Map Cloudflare's platform capabilities to these environments through relevant Reference Architectures, driving comprehensive platform adoption in place of point-solution sales. Virtual Deal Team Leadership : Set clear direction and lead a virtual team of Customer Engineers, Product Managers, Deal Desk, and Legal to manage and close complex, high-value opportunities. Proactively navigate blockers, maintain deal momentum, and ensure a consistently high-quality customer and prospect experience throughout. AI-Powered Sales Execution : Leverage AI tools as a deliberate and consistent part of how you sell — applying them to prospect research, personalised executive outreach, account planning, stakeholder mapping, meeting preparation, pipeline analysis, and follow-up. Demonstrate the same AI-native mindset Cloudflare brings to its products in how you manage your own territory and time. Digital Transformation & AI Positioning : Serve as a knowledgeable and credible partner to customers navigating digital and AI-driven transformation. Understand how AI adoption is reshaping enterprise infrastructure, compliance, and competitive dynamics — and position Cloudflare's platform capabilities, including AI Gateway, Workers AI, and Zero Trust for AI workloads, as central to your customers' strategy. Expert Pipeline & Forecasting : Deliver highly accurate, insight-driven account-level forecasts to sales leadership. Maintain rigorous pipeline management across long and complex enterprise sales cycles, providing clear and honest visibility into deal status, risks, and required actions at all times. Advanced Negotiation & Closure : Lead complex contract negotiations with confidence and expertise, constructing compelling outcome-linked value propositions directly tied to each customer's strategic objectives. Drive commercially strong and sustainable outcomes across new logo and expansion opportunities. Trusted Advisor & Organisational Contribution : Share knowledge, field intelligence, and best practices openly across the team. Provide constructive guidance to colleagues, contribute to the wider organisation's understanding of the Swiss enterprise market, and serve as a leader who elevates the work of those around them. Desirable Skills, Knowledge, and Experience 6+ years of advanced experience selling complex technology solutions in a B2B enterprise model , with a significant track record of consistently exceeding multi-million dollar new logo and quota targets in a named or strategic account model. Proven enterprise hunter — a demonstrated track record of opening and closing large, complex net-new accounts at C-suite level, not just managing and growing existing relationships. Deep expertise and fluency in Cloud Networking, Security (Zero Trust, SASE, SSE), and Edge Computing technologies, with the ability to engage credibly with senior technical buyers including CISOs, CTOs, and Heads of Infrastructure. Proven ability to deeply understand complex customer IT architectures and effectively map them to Cloudflare Reference Architectures for successful platform sales. Demonstrated success navigating complex, multi-stakeholder enterprise sales cycles across procurement, legal, technical, and executive buying centres simultaneously. Demonstrated use of AI tools in a sales context — prospect research, executive outreach personalisation, account planning, pipeline management, or meeting preparation. You can speak specifically to how AI has made you faster, sharper, or more effective, and you are actively pushing your use of AI further. Familiarity with AI transformation trends and their infrastructure and compliance implications, with the ability to position Cloudflare's AI platform capabilities as strategic enablers for enterprise customers. Exceptional executive communication and presentation skills, with the ability to connect platform capabilities to board-level business outcomes and hold the room with senior technical and business stakeholders. Advanced negotiation skills with a track record of closing six-figure and multi-million dollar net-new deals. Proficiency in Salesforce CRM; MEDDPICC methodology strongly preferred. Experience selling into regulated industries in the Swiss or DACH market — financial services, pharmaceutical, manufacturing, or critical infrastructure — is a significant advantage. Proficiency in advanced sales and business intelligence platforms (e.g., Salesforce, Tableau, G-Suite, MSFT suite). Highly self-motivated, entrepreneurial, and resilient, thriving in a fast-paced, high-growth environment with a consistent focus on long-term goals. Ability to travel as required to engage with key customers and internal teams. Language Skills: German & English What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.