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Location: London Workplace: Hybrid At Perplexity AI, we are building products that push the boundaries of how people find, reason, and learn information. The scale and speed of our mission demand a team that thrives in environments of rapid iteration and constant discovery. As a Recruiter, you will be at the forefront of shaping the talent foundation that fuels our growth. This is not a traditional Recruiting role. We are looking for a builder with strong technical grounding, a genuine passion for the craft of sourcing, and the ability to operate with creativity and precision in an environment where constant change and ambiguity is the norm. You will partner closely with hiring managers, and engineers to identify, engage, and inspire world-class talent, helping build a team capable of solving some of the most challenging problems in AI today. Just as importantly, you will use AI to automate and augment your own workflow, treating sourcing as a system to be engineered rather than a set of manual tasks. What You'll Do - Full-cycle recruitment for engineering and research roles across EMEA Search, AI and Infrastructure - Build outbound first pipelines: advanced research, talent mapping across frontier labs and academia, referrals, AI-assisted automation, and creative outreach - Partner with hiring managers and engineers to calibrate profiles with accuracy and nuance, and to sharpen the bar as our teams evolve - Act as a candidate's first introduction to Perplexity, telling an authentic and compelling story about our mission, product, and culture - Track and analyze pipeline data to continuously improve sourcing strategy, and build your own tooling where off-the-shelf falls short - Operate with agility as priorities shift hard-to-fill roles, new pillars, and compressed timelines are the norm What You Bring - 4 years of full-cycle technical recruiting experience - A sourcing-first track record: you fill hard roles through outbound and talent mapping - Strong technical literacy comfortable, holding credible conversations with senior engineers - A builder's instinct for AI: eager to adopt new tools, automate your own workflow, and experiment with how AI can make recruiting faster and sharper - Excellent communication and relationship-building skills with candidates, hiring managers, and cross-functional partners - A mindset that thrives on curiosity, iteration, and impact, aligned with Perplexity's ethos of building what has never been built before

Location: London, UK 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 Anthropic is building the Applied AI team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Forward Deployed Engineers embed directly with strategic customers to ship production AI applications that solve real business problems. As this practice grows, we need a founding leader to build and scale it. As the first FDE Manager, you'll own the team that sits at the frontier of enterprise AI deployment. You'll hire and develop a high-performing team of FDEs, set the technical and operational bar for customer engagements, and build the playbooks that turn one-off successes into repeatable patterns. You'll work hand-in-hand with Engagement Managers who own delivery logistics and stakeholder management, while you ensure your team is shipping quality code, growing technically, and representing Anthropic at the highest level in customer environments. This is a player-coach role with a strong bias toward leadership. You'll stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters — but your primary impact will come from the people you hire, the standards you set, and the culture you create. You'll partner cross-functionally with Sales, Product, and Engineering to shape how Anthropic serves its most strategic customers, and your team's field insights will directly influence product direction. This role requires someone who thrives in ambiguity and is energized by building from zero to one. You'll be defining what good looks like for FDE management at Anthropic — there is no existing playbook to follow. Responsibilities Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set a high bar for technical talent and customer instincts. Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member. Create an environment where FDEs do the best work of their careers. Staff and oversee customer engagements across your team's portfolio, making resource allocation decisions that balance customer needs, team development, and business priorities. Collaborate with account teams and Engagement Managers during the pre-sales process to qualify engagements, scope work, and inform statements of work. Review technical architectures and code produced by your FDEs, ensuring the team ships high-quality, production-ready solutions that solve real customer problems. Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex issues alongside your team when needed. Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field. Define team OKRs that tie to customer success outcomes and product adoption goals. Create operational cadences — standups, retros, engagement reviews — that keep the team aligned. Partner with Product and Engineering to translate field insights into product improvements. Serve as the voice of the customer in internal planning. Travel to customer sites as needed (25-50%), particularly during engagement kickoffs and for your team's highest-priority accounts. You may be a good fit if you have 10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting. 2+ years of people management experience within a services/post-sales/FDE organization with a track record of hiring, developing, and retaining strong engineers. Experience building organizations from 0->1, not just inheriting an existing one. Experience working directly with enterprise customers on technical implementations, including comfort navigating complex organizational dynamics. Executive presence with the ability to move fluidly between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers. Strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. Genuine excitement about building something new and defining what great looks like for a team that doesn't yet exist. Why this role matters You'll be a founding leader of a team that defines how enterprises adopt and scale AI. Your work will directly influence Anthropic's product direction, create reusable patterns for the broader customer base, and establish Anthropic as the trusted partner for AI transformation — all while advancing the responsible development of frontier AI systems. 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: £255,000 — £325,000 GBP 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: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Senior or Staff Reinforcement Learning Engineer to develop learning-based control policies for humanoid robots. You will design and train reinforcement learning policies that enable dynamic locomotion and loco-manipulation behaviors on real robots. Your work will focus on building scalable training pipelines, designing reward functions and environments, and improving sim-to-real transfer for reliable deployment on hardware. You will work closely with controls and robotics engineers to integrate learned policies into the robot control stack, ensuring stable and robust behavior in real-world conditions. Development will involve continuous iteration between large-scale simulation and hardware experiments. The problems you will work on include dynamic locomotion, balance recovery, contact-rich manipulation, and multi-behavior policy learning. WHAT YOU’LL DO - Design and train reinforcement learning policies for humanoid robot control. - Build scalable simulation and training pipelines (e.g., Isaac Lab, MuJoCo). - Design reward functions, observation spaces, and curricula for complex behaviors. - Improve robustness and sim-to-real transfer of learned policies. - Deploy and evaluate policies on real robotic systems. - Integrate policies into the control stack. WHAT WE'RE LOOKING FOR - MS or PhD in Robotics, Machine Learning, Computer Science, or related field. - Strong experience with reinforcement learning (e.g., PPO, SAC, offline RL). - Experience applying RL to robotics or physical systems. - Experience deploying learned policies on real robotic systems. - Experience with physics-based simulation environments (e.g., Isaac Lab, MuJoCo). - Strong programming skills in Python and/or C++. NICE TO HAVE: - Experience with RL for locomotion or legged robots. - Experience with sim-to-real transfer. - Familiarity with robot dynamics, control, or whole-body control. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: San Francisco, CA 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 are seeking a Strategic Finance Lead to provide finance leadership for our accelerator investments. In this role, you will be a key partner to our compute teams, providing financial expertise and guidance to optimize our compute investments and drive strategic decision-making. In this role, you’ll develop deep expertise in the economics of AI compute, from the unit economics of individual training runs to the long-range financial planning of our accelerator fleet. You’ll build financial models that inform Anthropic’s investment decisions, own planning and forecasting processes for major cost centers, and translate complex technical dynamics into clear financial narratives for leadership. This is a high-impact role for someone who thrives at the intersection of finance and technology, and who is energized by building frameworks from scratch in a fast-moving environment. Key responsibilities Finance lead for cloud accelerator compute spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance Build and maintain detailed bottoms-up data-driven financial models for accelerator infrastructure, including long-range forecasts, cost driver analyses, and investment scenario modeling Develop deep expertise in compute contracts, pricing structures, and cost drivers, and surface optimization opportunities across our infrastructure Serve as subject matter expert for Anthropic’s overall compute capacity plan, owning source of truth and plan of record Support the implementation and management of financial planning tools (e.g., Pigment), ensuring our models and processes scale with the organization Analyze the economics of model training and research compute, including ROI across different dimensions like training run sizes, chip types, data, etc, and distill into actionable framework for capacity planning and deployment Partner closely with engineering and research teams to understand how training and reinforcement learning processes scale, and translate those technical dynamics into financial frameworks You may be a good fit if you have: Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models Extraordinary problem-solving and critical thinking abilities to come up with new frameworks for assessing profitability and capital efficiency in a rapidly evolving industry Attention to detail and patience for getting to the source of truth on complex and interconnected underlying financial and legal frameworks Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences Proven track record of partnering with technical teams to drive financial optimization initiatives Excitement about working collaboratively in a fast-paced, dynamic environment and adapt well to change Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines Strong relationship building, business judgment, process management, and communication skills Are passionate about Anthropic's mission to build safe, transformative AI systems Are passionate about the effective integration of AI tools to streamline manual finance workflows Background in AI, ML, or high-performance, large-scale computing infrastructure, including data centers, cloud service providers, etc Preferred qualifications 7+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with infrastructure, datacenter, or technology infrastructure experience 3+ years of experience specifically in cloud infrastructure financial management Experience working directly with major cloud service providers (AWS, GCP, Azure) MBA or other advanced degree in finance, economics, or business Deep expertise in cloud service provider economics, contract structures,  and pricing models Experience with chip architecture economics and optimization strategies Proficiency with financial modeling tools and languages (SQL, Python, Excel) 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: $240,000 — $325,000 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: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the Role: We are seeking an exceptional Applied Scientist to join our Applied Science team. In this role, you will design, develop, and deploy the algorithmic systems that power Garner's products and drive meaningful impact for our members. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them. This is not a dashboards or descriptive-analytics role. You will own production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is a quantitative researcher at a top hedge fund. What you will do: Own the most ambiguous, high-stakes problems on the team end-to-end, and serve as a technical resource others rely on Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for Find novel ways to frame and solve the team's hardest problems, proving out approaches that others build on Set the bar for quality by reviewing others' work with rigor, and build the standards and evaluation tooling the team relies on Build a deep understanding of the healthcare economy and Garner's place in it To make the role concrete, here are three problems on our near-term roadmap: Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions. AI primary care doctor. Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely. Member engagement model. Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care. What we're looking for: 4+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 2+ years of industry experience with a relevant advanced degree, PhDs preferred A bias toward action, quickly translating ideas into working prototypes to test approaches Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them Deep technical range, with fluency across Garner's data and a habit of staying current with advances in the field Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem Strong communication skills and the ability to synthesize complex algorithmic ideas for senior and external stakeholders, and to secure buy-in for cross-team work A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedback What you'll get here You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment. This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Compensation Transparency: The target base comp range for this position is $200,000 – $230,000 . Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Applied Scientist III to join our Applied Science team. Garner is hiring Applied Scientists to design and ship the algorithmic systems at the core of our product. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them. This is not a dashboards or descriptive-analytics role. You will own production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is a quantitative researcher at a top hedge fund. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Ship production algorithmic systems end-to-end, from problem framing to launch to iteration Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for Bring new ideas to your work, experimenting with approaches beyond the obvious to get better results Produce rigorous, well-validated work others can rely on, and review your peers' code and analyses Build a deep understanding of the healthcare economy and Garner's place in it To make the role concrete, here are three problems on our near-term roadmap: Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions. AI primary care doctor. Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely. Member engagement model. Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care. What we're looking for: 2+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent advanced degree A bias toward action, quickly translating ideas into working prototypes to test approaches Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them A solid command of the methods your work calls for and the data your models depend on Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem Strong communication skills, with the ability to present your work clearly to senior stakeholders A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedback What you'll get here You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment. This is a unique opportunity to work on high-impact search problems in healthcare, helping shape how members find better care through algorithmic systems that directly influence healthcare outcomes. Compensation Transparency: The target base comp range for this position is $158,000 – $190,000 . Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: New York Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. You will join our newly established Security team in New York, working as part of QRT’s global Security function, which safeguards QRT's technology platforms, data, and operational environments. You will design, build, and operate secure infrastructure platforms that support the evaluation and adoption of emerging technologies, combining deep security expertise with strong engineering skills to deliver scalable controls, effective risk management, and a low-friction experience for engineers, researchers, and data scientists. Your Future Role within QRT Design and build secure platforms for the evaluation and adoption of emerging technologies across cloud and on-premises environments. Develop reusable security architectures, isolation patterns, trust boundaries and guardrails. Evaluate new technologies, identify risks and translate them into practical engineering controls. Design security across networks, identity, privileged access, containers, Kubernetes and workload isolation. Automate security by default using infrastructure-as-code, policy-as-code, APIs and software engineering. Apply LLMs, AI-assisted tooling and emerging technologies to improve security engineering and automation. Perform threat modeling and risk assessments for new infrastructure, software, cloud services, and emerging technologies, translating risks into practical controls. Partner with Infrastructure, Engineering, Research, and business teams to deliver secure, usable solutions and communicate risk clearly to technical and non-technical stakeholders. Your Present Skillset 7+ years of experience in security engineering, platform security, cloud security or infrastructure engineering. Strong experience designing secure hybrid infrastructure, ideally including AWS. Deep knowledge of network security, IAM, least privilege and defence-in-depth. Hands-on experience with containers, Kubernetes, virtualisation and workload security. Strong infrastructure-as-code and automation experience, particularly Terraform. Strong scripting or software development skills in Python, Go, PowerShell or similar. Practical experience with threat modelling, CI/CD security and software supply-chain security. Curious, automation-minded and comfortable working with new and unfamiliar technologies. High ownership, can-do and low ego, with strong collaboration, communication and judgement. Base salary range for this position is $180,000 to $260,000 per year. QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE As IT Operations & Cyber Lead, you will manage Humanoid’s corporate IT environment, ensuring it is secure, reliable, and scalable as the company grows. This is a hands-on leadership role, combining responsibility for end-user computing, identity and access management, corporate networking, and cyber security operations. You will partner closely with: - Engineering team, who manage product infrastructure (AWS, CI/CD, robotics environments); - ITSM Lead, who manages service process, management and support - The IT Director, to align on overall strategy, operational reliability, governance, and security maturity with business growth. WHAT YOU'LL DO - Own Humanoid’s corporate IT environment – covering endpoints, networks, identity, and security – ensuring reliability, scalability, and compliance. - Lead end-user computing and identity management, including device lifecycle, MDM, SSO/MFA, and access provisioning in partnership with ITSM. - Implement, operate and continually improve cyber defences across endpoints and SaaS platforms: vulnerability management, EDR/SIEM, and incident response. - Manage vendors and core infrastructure partners, ensuring cost-effective delivery, timely patching, and contract governance. - Maintain secure, high-performance connectivity for offices, labs, and remote users; coordinate with Engineering on network separation and integration. - Define and enforce IT and security standards, policies, and backup / recovery procedures that meet ISO 27001 / SOC 2 / GDPR expectations. - Monitor and report IT and security health, highlighting risks, incidents, and KPIs to the IT Director, and feed improvements into the IT roadmap. WHAT WE'RE LOOKING FOR - Proven experience leading IT operations and cyber operations in high-growth or technology-driven organisations. - Hands-on expertise in: - Identity & Access Management (Google Workspace, Azure AD, Okta or similar) - Endpoint Management (Intune, Jamf, or similar) - Corporate Networking (LAN / Wi-Fi / VPN / firewalls) - Cyber Security Operations (EDR, SIEM, vulnerability management, incident response) - Demonstrated ability to define and enforce standards and processes that combine agility with control. - Strong vendor and stakeholder-management capability. - Excellent communication skills; able to bridge technical and non-technical audiences. - Comfortable in a start-up/scale-up environment — pragmatic, adaptable, and ownership-driven. Desirable - Experience supporting ISO 27001 or SOC 2 certification efforts. - Experience automating IT workflows via scripting (PowerShell, Python, or equivalent). - Exposure to robotics, IoT, or AI product environments. - Knowledge of ITIL-based service processes. - Familiarity with secure development or DevSecOps concepts. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Auckland Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. ABOUT THE ROLE Halter is one system: hardware, software, and AI, running live on real farms. Our platform is what turns that ambitious engineering into farmer and rancher impact. Every collar on every cow, every grazing break a farmer sets, and every alert a vet acts on depends on infrastructure that's reliable, secure, and easy for our engineers to build on. As Halter grows globally and our systems handle billions of daily events from the paddock, the platform underneath needs to scale with us - without slowing anyone down. We're looking for a Senior Engineer to join our Platform team and help build, run, and evolve the systems that everything else at Halter sits on. You'll bring deep technical expertise to a small team, play a meaningful role in shaping how a fast-growing engineering organisation thinks about cloud infrastructure, developer experience, security, and AI-assisted engineering, and have the autonomy to own significant pieces of the work end-to-end. Day-to-day you'll work closely with engineering teams across the business - backend, ML, and data - to make sure the platform accelerates their velocity rather than gating it. Whether it's evolving our internal AI tooling into something the whole org relies on, building golden paths that make the right thing the easy thing, hardening our cloud security posture, or keeping our collar-to-cloud pipeline rock-solid as we scale, you'll own problems end-to-end. If you want your work to multiply the impact of every other engineer at Halter, this is the role. WHAT YOU'LL DO - Help shape how Halter leverages AI tooling to accelerate development. We've already invested in internal AI infrastructure that engineers rely on day-to-day, and you'll help it grow from an engineering-team tool into something the whole org leans on - contributing to the adoption patterns, the guardrail to the force-multiplier use cases. - Build out the tooling, guardrails, and golden paths that make it easy for other engineers to ship safely and quickly. The right paved roads multiply every engineer's impact, and you'll shape where ours go next. - Contribute to the technical direction for our cloud infrastructure as Halter scales globally, helping make the architecture decisions that balance velocity, cost, reliability, and operational simplicity. - Bake security into the platform through guardrails and sensible defaults across IAM, network policy, secrets management, and supply chain, so the secure path is also the easy path for every team. - Keep our core compute and orchestration layer reliable at the scale farmers and ranchers depend on, day in and day out. - Drive observability and incident tooling forward, treating on-call as a signal rather than a cost. Engineers should be able to detect, diagnose, and resolve issues before they reach farmers and ranchers. - Automate infrastructure management through Infrastructure-as-Code, CI/CD pipelines, and internal tooling that reduces operational load over time. - Contribute to cross-functional architecture discussions and help evolve platform practices and standards, balancing pragmatic delivery with long-term maintainability. - Mentor and grow other engineers through design conversations, code reviews, and generous context sharing. - Be part of an on-call rotation, working with a highly skilled team to resolve incidents and put preventative measures in place. YOU'LL BE GREAT IF YOU: - Have deep experience building and operating AWS at scale, with strong fluency in container orchestration, cloud networking, and Infrastructure-as-Code. Terraform at scale is a big plus. - Have shipped meaningful platform or infrastructure work in a production environment, ideally in a high-growth setting. - Understand what good developer experience looks like, and have built golden paths, paved roads, or internal platforms that engineers reach for instead of rolling their own. - Treat security as a first-class part of platform engineering, not an afterthought, and have hands-on experience hardening cloud environments. - Are excited about how AI tooling can change the way engineering teams work, and have a point of view on where it adds leverage versus where it adds risk. Bonus if you've built an AI agent or AI-assisted tooling in production - we have internal AI infrastructure of our own, and we'll want your take on where it goes next. - Understand how to build systems that are observable, testable, and easy to debug at scale. - Are a strong communicator who collaborates well across teams, raising the bar on practices through clear writing, thoughtful design conversations, and code review. - Stay calm under pressure, have a low ego, and lift the people around you through clear communication and generous knowledge sharing. - Embrace ambiguity. The biggest platform problems rarely come with a clear spec, and you're comfortable navigating uncertainty and making pragmatic calls. - Have backend product development experience (a plus) - it helps you understand how engineers build products and what they need from the platform underneath them. - A degree in software engineering (or equivalent) is nice to have, but not essential. WHY OUR TEAM LOVES WORKING AT HALTER ❤️ - We are New Zealand's fastest growing company. - Dedicate yourself to solving real-world problems alongside an epic team in a culture designed around growth. - A genuine and shared connection to our mission to make a difference in the world. - The pride of joining an iconic New Zealand technology company. The excitement, risk, and reward of a high-growth technology scale-up on the global stage. - Our ideas are truly valued, we are able to move fast, and our impact is real. - State-of-the-art, dog-friendly office that's been thoughtfully designed right in the heart of Auckland city. Did we mention dogs and cows? - Healthy body, healthy mind. We're partnered with Southern Cross Health Insurance to support your well-being. - We offer 6 months of fully paid parental leave for primary caregivers, 4 weeks of fully paid secondary caregiver leave and many other parental benefits that support you and your family. - Our personal growth is important. Halter offers an annual $1000 self-development budget to be used for anything that fuels personal growth. - Our time to recharge is valued, we're offered wellness leave and unlimited paid annual leave. - We offer an inclusive and attractive remuneration package made up of salary, benefits and an employee stock ownership plan. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE Humanoid is seeking a highly driven and experienced Product Program Manager to join our Product Department. This critical role will lead the end-to-end development and delivery programme and relevant product-related projects for Humanoid's next-generation bipedal humanoid robot fleet solution – from Alpha prototype to production version, and from early adoption to mass deployment and further to different version obsolescence. As the anchor for the development, launch and deployment process, you will drive cross-functional coordination across Product, Engineering, Operations, and Marketing teams to ensure that the solution is delivered on-time, on-cost, on-quality, and on-spec. This is a highly collaborative role, requiring deep expertise in programme delivery and budget management across both technical and non-technical workstreams, as well as in product lifecycle for products that combine cutting edge hardware and software technologies. You will work closely with Engineering's Technical Program Managers (TPMs), who own the detailed technical execution of the mechanical, actuation, controls, perception and other AI systems that underpin safe and reliable bipedal locomotion, manipulation and interaction, to ensure their workstreams are integrated into the overall programme plan, as well as other key stakeholders. The ideal candidate will possess strong leadership skills, a structured delivery and product-oriented mindset, and the ability to operate confidently across a diverse stakeholder landscape. WHAT YOU'LL DO - Lead the full lifecycle programme management of the humanoid robot fleet solution development & deployment – from planning, design, prototyping, testing, manufacturing to launch, early to mass deployment, version update to obsolescence or repurposing. - Act as the central coordination point between Product, Engineering, Operations, Manufacturing, Supply Chain, Marketing, Business Development and Finance to align resources, schedules, and deliverables. - Develop and maintain programme plans, risk registers, dependency maps, and stage gates to ensure structured and transparent delivery. - Champion best-in-class governance, reporting, and communication processes to ensure all stakeholders remain informed and engaged. - Identify and mitigate programme risks and issues early to maintain momentum and resolve delivery challenges. - Support the Product Department in defining scope, prioritisation, and trade-off decisions throughout the development & deployment cycles. - Drive alignment between cross-functional teams and facilitate decision-making to unblock issues across technical and operational domains. - Own programme budget planning and management across development, testing, tooling, and deployment phases – building and maintaining the budget, tracking actual spend against plan, forecasting variances, managing change control on cost impacts, and reporting budget performance to senior stakeholders. - Partner with Engineering's Technical Program Managers (TPMs) to drive delivery of the bipedal locomotion, whole-body control, sensor integration, and safety/certification workstreams – ensuring their technical plans and test campaigns are reflected in the overall programme schedule and dependencies, with progress reported transparently to stakeholders. TPMs own the detailed technical execution and design decisions; this role owns the programme-level integration, sequencing, and accountability for outcomes. - Work with Engineering TPMs, Supply Chain, and Finance to manage the commercial, budget, and schedule aspects of supplier/partner relationships for critical bipedal subsystems (actuators, gearboxes, batteries, sensors), and to translate technical KPIs (e.g. locomotion performance, MTBF, production readiness) into programme-level cost, schedule, and quality reporting. WHAT WE'RE LOOKING FOR - Bachelor’s degree or higher in Mechanical, Electrical, Mechatronics, Manufacturing, Industrial Design Engineering or a closely related technical discipline. - 7+ years of experience in programme or project management roles within technology or product development environments, preferably in Robotics or Consumer electronics environments, having followed different stages of product lifecycles. - Formal project management qualification (PMP, PRINCE2, or equivalent). - Proven track record of successfully delivering complex, multi-disciplinary hardware and/or software product development programmes. - Strong experience in managing cross-functional teams spanning engineering, operations, manufacturing, finance, and supply chain. - Excellent communication, stakeholder management, and problem-solving skills. - Ability to work in a fast-paced and evolving environment, driving clarity and direction across multiple teams. - Experience owning or managing programme budgets for complex hardware/technology programmes, including cost tracking, forecasting, and reporting. - Experience partnering with technical/engineering leads (e.g. Technical Programme Managers) on complex hardware programmes – ideally including legged or bipedal robotics, or closely related fields such as locomotion research or actuator-driven mechatronic systems – with enough technical fluency (actuators, controls, sensors, robotics safety standards) to translate technical risk into programme impact and make informed scope and trade-off decisions, without requiring hands-on engineering ownership. Nice to have: - Direct experience working on or managing a bipedal or legged humanoid robot programme, from prototype through to production and deployment. - Experience with mass-production ramp-up of complex robotic or mechatronic hardware, including supplier qualification and manufacturing scale-up. - Familiarity with simulation-to-real transfer, digital twin practices, or reinforcement-learning-based control as used in modern humanoid development. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: New York Office Workplace: Hybrid About the role Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Senior Recruiter to be the face of Taktile for our future team members. Your primary responsibilities will include sourcing, recruiting, and managing the candidate journey to ensure we attract and hire exceptional talent. As a key driver of our growth, your work will directly influence the success and scalability of our operations. This role is perfect for someone eager to play a central role in shaping Taktile's organization. We are looking for a skilled recruiter who knows how to identify and attract top talent and who thrives in the fast-moving, competitive landscape of AI. This role is based in our New York HQ. We believe great recruiting is highly collaborative and relationship-driven, so we work together in person at least three days per week. What You'll Do - Own the full recruiting cycle for a portfolio of GTM roles, from role scoping with hiring managers through offer close, moving fast without sacrificing quality or candidate experience. - Build and execute sourcing strategies tailored to each role, using LinkedIn Recruiter, AI-assisted tools, and creative outreach to reach both active and passive candidates. - Act as a strategic partner to hiring managers, not just an executor. That means shaping job requirements, challenging assumptions, and keeping searches on track when priorities shift. - Deliver a standout candidate experience at every touchpoint: clear communication, timely feedback, and a process that reflects Taktile's values even when we're moving quickly. - Leverage data to drive decisions. Track pipeline health, identify drop-off points, and share regular hiring funnel updates that lead to action, not just reporting. - Act as a strong partner and domain expert to the organization. Collaborate closely with leaders to comprehend their hiring needs and develop recruiting strategies to meet headcount targets. This person will be a senior partner to our leaders and shape our overall talent strategy. - Contribute to how we hire, not just who we hire. Help refine our assessment frameworks, improve structured interview practices, and bring new ideas for how Taktile stays competitive in a tight talent market. - Support employer branding and talent marketing through events, content, and community presence, making Taktile a name candidates recognize and want to join. - Collaborate with People Ops to ensure smooth handoffs post-offer, including onboarding coordination, relocations, and visa support where needed. Required Experience - 5+ years of hands-on experience in proactive sourcing and talent acquisition, preferably in high-growth startups or dynamic environments. - Deep experience hiring across GTM functions- including Account Executives, BDRs, Solutions Engineers, Forward Deployed Engineers, & Marketing. You know how to read a strong GTM candidate and how to sell a compelling opportunity to them. - Experience partnering with leaders throughout the recruiting process, acting as a strong hiring partner and trusted advisor. - Actively using AI tools in your recruiting workflow- whether for sourcing, outreach personalization, candidate research, or pipeline management. You stay current with the evolving recruiter tech stack and bring a point of view on how AI can make hiring smarter and faster. - Skilled in using LinkedIn Recruiter, ATS tools, and Google Suite to streamline the recruitment process for both active and passive candidates. - Proficient in sourcing talent across a range of seniority levels, from entry-level graduates to senior professionals. - Expertise in conducting behavioral and competency-based interviews with a strong ability to effectively evaluate candidates’ skills, cultural fit, and potential. - Experience managing both high-volume hiring and specialized searches for niche roles. - Familiarity with tracking and analyzing recruitment metrics (e.g., time-to-hire, quality of hire, and source effectiveness) and using data to refine strategies and improve processes. Ideal, But Not Required - Experience in B2B SaaS recruitment. - Familiarity with Ashby Our Offer - Make a meaningful impact by shaping a fast-growing company and creating new opportunities. - We offer a competitive salary for this role along with an equity component as part of the total compensation package. The final compensation, including salary and equity, will be determined based on factors such as experience, qualifications, and market conditions. - Market-led and competitive benefits package including access to a self-development budget for conferences, books, or classes. - Join us onsite in our inspiring office spaces in Berlin, NYC, or London. - Experience a truly flat hierarchy, interacting directly with founding team members and voicing your ideas. - Learn from experienced mentors, including the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath. - Join us at an early but pivotal growth stage where you can take ownership to help us achieve the right business outcomes.  Our Stance - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it.  - We seek to actively recognize and combat racism, sexism, ableism, and ageism. We embrace and support all gender identities and expressions and celebrate love in its many forms. We won't inquire about how you identify, or if you've experienced discrimination, but if you want to tell your story, we are all ears. About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com. About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. California residents have additional rights under the CCPA, including the right to know, delete, and correct personal information. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms.   By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy https://taktile.com/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com

Location: India ABOUT HUMAN ARCHIVE Human Archive is a data lab modeling human embodied intelligence. We're researchers from Stanford, Berkeley, NYU GRAIL, UPenn GRASP, JHU Robotics and national robotics champions, backed by Y Combinator and $8.2M. Hardware — We design, manufacture and calibrate thousands of custom collection rigs, gloves and wrist cameras, with our hardware team in Shenzhen. Operations — We have 100+ full-time team members collecting large-scale multimodal video and sensor data from 100,000+ contributors and 500+ industry partners across homes, hotels, restaurants, agriculture, manufacturing, construction and retail in 30+ countries. In India, our operations are headquartered in Bengaluru and run live across Delhi NCR, Bengaluru, Mumbai, Goa etc. Software — We develop custom 3D perception and annotation models tailored to our hardware, and train robot policies on our datasets. Our SLAM and hand-pose models achieve state-of-the-art performance. Despite decades of research, we still barely understand how humans think, move or interact with the world. Human Archive's datasets are foundational infrastructure for automating manual labor, increasing global abundance and advancing our understanding of the brain. ABOUT THE ROLE As an Operations Manager, you own the deployment. From the moment equipment leaves our storage point to the moment the day's data is verified, it is yours to run — a team of five to six operators, a live site, and a set of problems nobody can solve for you from a desk. The stakes are real. Robots learn from what we capture. A deployment run well produces data that trains machines to work with their hands; a deployment run badly produces footage nobody can use. That call gets made on the floor, by you, in the moment. It suits someone who is equally comfortable talking to a mechanic mid-shift and holding a strict data protocol when a site is pushing back. Most people can do one. We are looking for the ones who can do both. A DAY ON DEPLOYMENT Reporting time varies by deployment and can be early morning. A typical day runs as follows. - Start of day — Reach the storage point, for example our Gurgaon dark store. Collect and verify camera units, batteries, memory cards and accessories against the assigned inventory on the app. - Travel — Move to the deployment site with your team. - On arrival — Meet the site point of contact. Walk the floor and confirm the day's capture plan, including which workers and stations are being recorded. - Briefing — Brief your five to six operators. Assign stations, fit camera systems on the workers, run a test capture. - Collection — Run the day's capture. Move between stations checking framing, battery levels and storage. Handle what goes wrong: a worker steps away, a shift changes, a station becomes inaccessible. You make the call on the spot. - Wrap — Close capture and complete the taxonomy for everything collected on task level. - Day end — Return to the storage point, reconcile inventory with the dark store manager, flag damaged units, transfer data and submit the deployment report. RESPONSIBILITIES - Collect and verify camera inventory, batteries and accessories from the local storage point each morning - Travel with your team to the deployment site and set up for the day's collection - Brief and manage five to six field operators through the collection plan - Meet and coordinate with the site point of contact, typically a Director, Operations Head or owner of a factory, resort or restaurant - Check data quality through the day, including camera framing, battery levels and storage - Complete and verify the taxonomy for all footage collected on site - Reconcile inventory at day end and return it to the dark store manager - Transfer and upload the day's data, and submit the deployment report WHO WE'RE LOOKING FOR Non-negotiable - Strong spoken English and Hindi. You are often our first point of contact with Directors, Operations Heads and owners of factories, resorts and restaurants. - Willingness to work on site and travel, not from a desk - Ability to give clear direction to field teams in Hindi and English - Ability to make decisions independently when a deployment does not go to plan We're hiring two kinds of people 1. Freshers: 2025 and 2026 pass-outs Startup internship experience strongly preferred. If you have interned at an early-stage company and know what it is like when the process does not exist yet and you have to build it, this role will make sense to you. 2. People with 1–3 years of field or operations experience Prior experience as an Operations Manager, City Ops, Fleet Ops or Field Ops at a startup. Quick commerce, home services, hyperlocal delivery and on-demand backgrounds map directly onto this role — companies like Snabbit, Blinkit, Zepto, Swiggy, Urban Company, Rapido and Porter. Prior experience is useful but not required. We train on our protocol and taxonomy. What we cannot train is spoken English and ownership. THIS ROLE IS NOT FOR YOU IF - You want a fixed desk and a fixed city - You want predictable 10-to-6 hours - You are uncomfortable spending your day on factory floors, in kitchens and on shop floors - You would rather escalate a problem than solve it on the spot TRAVEL This role requires substantial travel. A typical month may include a week in Delhi NCR, a week in Bengaluru and a week in Assam. You should be comfortable with this before applying. - Base location is Delhi NCR. - All outstation work-related travel, accommodation, meals and commute are paid by the company and are not part of your CTC. WORKING SCHEDULE - 6-day work week - Actual working hours are approximately 9 to 10 hours. On deployment days a significant part of the day is spent travelling, over and above working hours. - Reporting time depends on the deployment and can be early morning. - Sunday deployments are limited to a maximum of two per month. - On non-deployment days you handle data transfer and upload, deployment planning, reporting and site coordination. These days run on more regular hours. ELIGIBILITY - Any graduate degree (BBA, BA, B.Com http://B.Com, BHM, B.Tech http://B.Tech or equivalent). Hospitality, hotel management and general management backgrounds do particularly well in this role. - Batch: 2025 and 2026 pass-outs, or up to 3 years of relevant experience - No minimum CGPA cutoff. We hire on the interview, not the marksheet. COMPENSATION - Total CTC: ₹4.2–7 LPA, based on interview performance - 100% fixed. There is no variable or performance-linked component. - Probation: 2 months at full salary. No deduction during probation. - No service bond or training bond of any kind. REPORTING AND GROWTH You report to the Zone Head and the Operations Head, and work directly with the founding team. Each Operations Manager runs one deployment team of five to six field operators, with a home city and rotation across active national sites. Typical progression for strong performers: - Regional Manager — around 8 months. Owns multiple deployment teams across a zone. - City Head — around 18 months. Owns a city's full operations, including site partnerships and vendor relationships. We expect our operations leadership to come from this cohort.

Location: Europe; Canada; New York Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: At Cohere, we're pushing the boundaries of what these technologies can achieve for production environments, and we're seeking a senior engineer who understands the practical challenges of making AI systems work at scale. This role demands deep technical expertise in production environments and the ability to bridge research concepts with real-world implementations. This position is hands-on and engineering-driven. You'll focus on production systems, experiment with frontier models, and collaborate with talented engineers to build scalable, production ready solutions. We strive for excellence in both engineering and science by meticulously designing experiments and design docs. We blend engineering and research seamlessly. Everyone contributes to both, depending on organizational needs. We provide access to world class compute resources, data, and talent to ensure you can do your best work. This role is perfect for you if you: - Have a deep passion for quality work. - Enjoy tuning and optimising large LLM models. - Comfortable working with people with different levels of software engineering skills, from beginner to more advanced. - Comfortable diving into complex ML codebases to identify and resolve issues, ensuring the smooth operation of our systems. - Thrive in a fast-paced, technically challenging environment, where you can contribute your innovative ideas and solutions. Key responsibilities: - Design and write high-performing and scalable software for training models. - Develop new tools to support and accelerate research and LLM training. - Coordinate with other engineering teams (Infrastructure, Efficiency, Serving) and the scientific teams (Agent, Multimodal, Multilingual, etc.). - Research, implement, and experiment with ideas on our cluster and data infrastructure. - Collaborate, Collaborate, and Collaborate with other scientists, engineers, and teams! Qualifications: - Extremely strong software engineering skills. - Value test-driven development methods, clean code, and strive to reduce technical debts at all levels. - Proficiency in Python and related ML frameworks such as JAX, Pytorch and/or XLA/MLIR. - Experience using and debugging large-scale distributed training strategies (memory/speed profiling). - Experience with distributed training infrastructures (Kubernetes) and associated frameworks (Ray). - Experience in ML and LLM academic research. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role Shape the future of AI-powered clinical experiences. At Aidoc, we’re building industry-leading clinical AI that helps healthcare teams improve patient outcomes and optimize clinical operations. Our AI platform delivers the right insights at the right moment, embedded directly into clinical workflows. We’re looking for an exceptional Director of Product Design to lead our Product Design team and help define the next generation of AI-powered clinical experiences. This is a player-coach leadership role . You’ll lead and mentor a team of experienced Product Designers, while staying close to the work yourself. You’ll help solve some of our most complex product and UX challenges to create products that clinicians trust, adopt, and love to use. You’ll shape our design direction and raise the bar for product quality across Aidoc. What you’ll do: Define and drive Aidoc’s Product Design vision, principles, and strategy. Lead, coach, and develop a team of three senior Product Designers. Develop a deep understanding of clinical workflows and translate complex real-world challenges into simple, intuitive product experiences. Stay hands-on with high-impact and complex design challenges, from discovery through execution. Build a strong research-driven design culture centered on deep customer and workflow understanding. Shape AI-native experiences that fit naturally into clinicians’ daily workflows. Partner closely with Product, Engineering, Clinical, and Executive leadership to influence product strategy and priorities. Establish and evolve best practices for UX research, usability testing, design systems, and continuous product validation. Raise the bar for craft, consistency, and product experience across the organization. What we’re looking for: 7+ years of experience in Product Design , ideally working on complex B2B, enterprise, or SaaS products. 3+ years of experience managing Product Designers , including coaching experienced or senior-level designers. Strong hands-on Product Design expertise across discovery, UX, interaction design, prototyping, and product delivery. A track record of owning complex product experiences and translating ambiguous problems into clear, intuitive solutions. Deep experience with user research, customer discovery, and usability testing. Experience building or evolving design systems and scalable design practices. Strong product thinking and systems thinking, with the ability to influence product strategy beyond the design function. Experience partnering closely with senior Product and Engineering leaders. Strong communication skills and the ability to explain design decisions, challenge assumptions, and create alignment. Passion for AI and the future of human-AI collaboration. Healthcare, clinical workflow, or other complex regulated-domain experience is a strong advantage. You’ll thrive here if you: Enjoy being both a design leader and a hands-on designer . Love spending time with customers and understanding how they actually work. Think in workflows and systems, not just individual screens. Know when to coach your team and when to personally dive into a difficult problem. Challenge assumptions through research, experimentation, and data. Care deeply about craft, quality, and execution. Can work comfortably with ambiguity and bring structure to complex problems. Inspire and elevate experienced designers without needing to micromanage them. Want your work to improve the lives of clinicians and patients every day. Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: CH - Shanghai, China Scopely is seeking a Senior Director of Product, Performance to join the Slate Development Group and support a high-profile unannounced mobile game project in Shanghai, China, on a hybrid basis! 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. We are developing an ambitious, unannounced AAA mobile game and bringing together a team of passionate game makers to create unforgettable characters and immersive adventures that players will love. What You’ll Do As Senior Director of Product, Performance, you will lead the team responsible for understanding, managing, and improving the performance and live operations of the game. You will build the operating model that connects business targets, player insights, live operations, experimentation, and cross-functional execution. Lead and develop the Product Performance team, with accountability for business performance, live operations strategy and execution, product growth, and data-informed iteration Own revenue forecasting, KPI targets, performance reporting, and executive business reviews in partnership with the Head of Product and General Manager Set the live operations strategy and oversee execution of the calendar across events, offers, limited-time content, and in-game communications Define the game’s learning agenda and partner with Analytics, User Research, and other cross-functional partners to prioritize the analyses and research needed to guide decisions Drive monetization optimization by identifying opportunities, developing hypotheses, and overseeing experimentation and iteration Partner with Roadmap Product Management, Creative, and Production to ensure live-service needs and learnings inform product development Connect in-game performance and live operations with Marketing and Community to drive coordinated growth across the player lifecycle Operate as a senior game leader, influencing product strategy and execution across the broader organization What We’re Looking For Director-level leadership experience on a scaled, top-performing mobile free-to-play game Deep product knowledge and genre experience with character-collection RPGs or adjacent genres Experience leading and developing senior individual contributors or people managers Experience leading live operations strategy and execution, including calendars, events, offers, and in-game communications Experience owning revenue forecasts, KPI targets, performance reporting, and business reviews Experience launching a major game and helping transition it into live operations Strong analytical and financial fluency, with the ability to turn complex player and business signals into clear decisions Exceptional communication and stakeholder-management skills, including the ability to influence senior leaders and cross-functional teams without direct authority Fluent English and willingness to travel regularly to support global development and publishing teams Bonus Points Mandarin proficiency Experience working with an external developer or within a co-development partnership Experience collaborating across Chinese and Western game-development teams 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: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are seeking a Senior Systems Engineer – Software & Autonomy to support the definition, architecture, integration, and verification of the software systems that enable our humanoid robotic platform. The role will work across perception, localisation, navigation, artificial intelligence, motion planning, controls, ROS 2 platform software, simulation, deployment, and diagnostics. You will collaborate with software leads and subject matter experts to translate product and operational needs into coherent capabilities, requirements, architectures, interfaces, integration plans, and verification criteria. This is a systems engineering position focused on the robot’s software and autonomy stack. It is not primarily a firmware development or electrical engineering role. WHAT YOU'LL DO - Obtain input from system leaders, product teams, and technical subject matter experts to translate stakeholder needs into clear and verifiable system and software requirements. - Define the software capabilities required to support humanoid robot behaviours, operational use cases, and product objectives. - Decompose system-level capabilities across perception, navigation, AI, planning, controls, core platform, and supporting software services. - Develop and maintain the functional and logical architecture of the robot’s software and autonomy stack. - Define system boundaries, responsibilities, dependencies, and interfaces between software components and technical teams. - Establish interface requirements covering data ownership, message definitions, coordinate frames, units, timing, latency, synchronization, quality indicators, fault handling, and degraded operation. - Support architectural decisions involving, middleware, compute allocation, networking, simulation, software deployment, and distributed execution. - Coordinate integration across perception, navigation, AI, controls, platform software, firmware, electronics, sensors, actuators, and mechanical systems. - Identify cross-team assumptions, dependencies, architectural conflicts, and missing functionality before they become late-stage integration issues. - Define integration stages, entry and exit criteria, required test environments, and readiness expectations. - Lead or support the investigation of complex system-level issues involving multiple software components or interactions between software and hardware. - Define nominal, degraded, recovery, fallback, and safe-state behaviours for software-intensive functions. - Develop system-level verification and validation strategies for autonomous robotic capabilities. - Establish measurable performance and acceptance criteria for perception, localization, navigation, planning, controls, AI, and integrated robot behaviours. - Support scenario-based testing using simulation, software-in-the-loop, hardware-in-the-loop, laboratory testing, and physical robot testing. - Maintain traceability between use cases, requirements, architecture, implementation, tests, and verification evidence. - Work with safety engineers to ensure software behaviours support system safety requirements and hazard mitigations. - Facilitate requirement, architecture, interface, integration, and system-readiness reviews. - Communicate technical risks, capability limitations, integration status, and architectural trade-offs to engineering and program leadership. - Coach engineering teams in practical systems engineering methods appropriate for an iterative robotics development environment. WHAT WE'RE LOOKING FOR - Bachelor’s or Master’s degree in Systems Engineering, Software Engineering, Computer Science, Robotics, Mechatronics, Controls Engineering, or a related field. - Five or more years of experience in systems engineering, robotics software, software architecture, autonomous systems, or a related technical domain. - Experience working with complex software-intensive or cyber-physical systems composed of multiple interacting subsystems. - Strong knowledge of requirements engineering, architecture definition, interface management, integration, verification, validation, and traceability. - Technical experience in several of the following areas: - ROS or ROS 2 - Robotics software - Perception and sensor fusion - Localization, mapping, and navigation - Motion or behaviour planning - Manipulation, locomotion, or whole-body controls - Artificial intelligence or machine learning - Simulation and virtual testing - Distributed or real-time software systems - Ability to understand and evaluate software behaviour without being the primary implementation owner for every component. - Experience defining measurable acceptance criteria for complex system behaviours. - Ability to investigate issues spanning algorithms, software, computing, networking, firmware, sensors, actuators, and physical robot behaviour. - Strong analytical, problem-solving, leadership, and technical communication skills. Experience with humanoid robots, mobile robots, autonomous vehicles, industrial robotics, or similar systems. - Familiarity with ROS 2 topics, services, actions, quality-of-service policies, lifecycle management, TF, rosbag, and distributed execution. - Familiarity with C++, Python, Linux, Git, CI/CD, containers, and modern software development workflows. - Experience with simulation tools such as Isaac Sim, Gazebo, MuJoCo, MATLAB/Simulink, or equivalent platforms. - Experience with SysML, model-based systems engineering, or software architecture modelling. - Familiarity with functional safety, SOTIF, machinery safety, cybersecurity, or safety assurance for autonomous systems. - Understanding of machine-learning performance, uncertainty, dataset coverage, and scenario-based validation. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: US - Culver City, United States; US - United States Scopely is seeking a Senior Director of Product, Performance to join the Slate Development Group and support a high-profile unannounced mobile game project in the US on a hybrid or remote basis (Hybrid in Culver City)! 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. We are developing an ambitious, unannounced AAA mobile game and bringing together a team of passionate game makers to create unforgettable characters and immersive adventures that players will love. What You’ll Do As Senior Director of Product, Performance, you will lead the team responsible for understanding, managing, and improving the performance and live operations of the game. You will build the operating model that connects business targets, player insights, live operations, experimentation, and cross-functional execution. Lead and develop the Product Performance team, with accountability for business performance, live operations strategy and execution, product growth, and data-informed iteration Own revenue forecasting, KPI targets, performance reporting, and executive business reviews in partnership with the Head of Product and General Manager Set the live operations strategy and oversee execution of the calendar across events, offers, limited-time content, and in-game communications Define the game’s learning agenda and partner with Analytics, User Research, and other cross-functional partners to prioritize the analyses and research needed to guide decisions Drive monetization optimization by identifying opportunities, developing hypotheses, and overseeing experimentation and iteration Partner with Roadmap Product Management, Creative, and Production to ensure live-service needs and learnings inform product development Connect in-game performance and live operations with Marketing and Community to drive coordinated growth across the player lifecycle Operate as a senior game leader, influencing product strategy and execution across the broader organization What We’re Looking For Director-level leadership experience on a scaled, top-performing mobile free-to-play game Deep product knowledge and genre experience with character-collection RPGs or adjacent genres Experience leading and developing senior individual contributors or people managers Experience leading live operations strategy and execution, including calendars, events, offers, and in-game communications Experience owning revenue forecasts, KPI targets, performance reporting, and business reviews Experience launching a major game and helping transition it into live operations Strong analytical and financial fluency, with the ability to turn complex player and business signals into clear decisions Exceptional communication and stakeholder-management skills, including the ability to influence senior leaders and cross-functional teams without direct authority Fluent English and willingness to travel regularly to support global development and publishing teams Bonus Points Mandarin proficiency Experience working with an external developer or within a co-development partnership Experience collaborating across Chinese and Western game-development teams 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 $223,000 — $281,400 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: Belgium; France; Germany; Italy; Netherlands; Portugal; Spain; United Kingdom At Catawiki, every day brings the extraordinary! Whether it’s Daniel Ricciardo’s Formula 1 Car , a Woolly Mammoth’s Skeleton , Lady Gaga's Jumpsuit or Usain Bolt’s running shoe , we encounter exceptional objects every day. We’re a one-of-a-kind marketplace for buying and selling special objects. Each week, more than 100,000 unique items are auctioned, all carefully curated by our passionate in-house experts. Having sold over 25 million unique objects, our mission is to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by three core values. If these values resonate with you, we’d love to explore how you can join us. Taking ownership and driving impact Being open to change and feedback Being passionate about our mission and our customers. Your Mission Use your specialist expertise in Southeast Asian, Oceanic or Americas Art & Antiques to curate high-quality auctions, applying sound judgement to authenticity, provenance, quality and commercial relevance. Combine expert curation with seller development and market insight to strengthen the category, grow high-quality supply and identify new commercial opportunities. What You’ll Do Curate high-quality auctions by evaluating objects for authenticity, age, attribution, condition, provenance, market relevance and buyer appeal. Safeguard trust and responsible trade by researching provenance, identifying potential risks and applying authenticity, quality and compliance standards consistently. Grow high-quality supply by identifying and developing relationships with dealers, galleries, collectors, professional sellers and collection owners across Europe and relevant international markets. Support sellers with specialist knowledge and practical guidance on estimates, reserve prices, timing, presentation and object quality to improve auction performance. Identify category growth opportunities using market insight and auction data, including buyer demand, supply quality, sell-through and average object value. Develop and test auction themes, seller initiatives and process improvements, taking ownership from initial idea through execution and results. Share specialist knowledge and commercial insights with colleagues to strengthen curation standards, market understanding and the wider Asian & Tribal Art team. What You’ll Bring Demonstrable specialist expertise in Southeast Asian, Oceanic or Americas Art & Antiques, plus good knowledge of at least one additional area within the role’s wider scope. Professional experience in the art, antiques, auction, gallery, dealer, collecting, curatorial or online marketplace environment, with the ability to assess authenticity, attribution, quality, condition and provenance. Strong research skills using specialist literature, archives, databases and auction records, alongside awareness of cultural-property, responsible-sourcing and provenance considerations. A strong understanding of the European art and antiques market and auction dynamics, including estimates, reserve prices, sell-through, buyer demand and supply quality. A commercial and proactive approach, with the confidence to develop relationships with dealers, collectors and professional sellers and identify opportunities for category growth. Strong written and verbal communication skills in English, attention to detail and sound judgement, with confidence using digital platforms, data and research tools. The ability to work independently, take ownership and collaborate effectively, with willingness to travel periodically. Expertise in African Art & Antiques, an established specialist network, relevant additional languages or broader regional expertise are strong advantages. How We Work Work closely with experts, account managers, Business Development, Marketing, the Category Lead and Category Manager to develop opportunities and strengthen auction performance. Take ownership of opportunities and projects while contributing to shared team goals and openly sharing specialist knowledge. Research beyond your primary specialism, recognise the boundaries of your expertise and seek additional specialist input when needed. Combine object-level research, seller relationships and auction performance data to inform decisions and continuously improve ways of working. Where You’ll Be This is a Europe-based role that can be based in any of our European offices. Why You'll Love Working with Us Create a visible impact by working at scale in a global organisation serving millions of customers across 80+ categories. In our flat structure, every role has a broad scope and directly impacts both our customers and the business. Learn and grow through our Learning & Development initiatives, including clear development plans and mentorship programmes to support your career progression. A culture of connection defines us . We’re a passionate, diverse team of 800+ Catawikians representing 60+ nationalities. We foster an inclusive and queer-friendly environment where everyone is encouraged to bring their full self to work. Celebrate life’s moments with us. You’ll receive a €100 Catavoucher when you join, a €50 Catavoucher on your birthday, and an extra day off each year to “Pursue Your Passion ” . We also offer additional leave for key work anniversaries and important life events. Benefits may vary by location. Our Offices and Way of Working Our vibrant offices in Amsterdam and Lisbon are designed to inspire collaboration. Most Catawikians operate in a hybrid setup, combining office-based and remote work, with a minimum of two days per week in the office, unless a role is explicitly stated as fully remote or fully office-based. Interested? Apply with an English CV and Cover Letter. By applying, you agree to Catawiki’s Applicant Privacy Policy. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply anyway. You may be just the right candidate for this or other roles. We may use artificial intelligence (AI) tools to support the review of your application. AI may help us assess how your experience matches the requirements of the role, but hiring decisions are always made by our recruitment team