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Location: London Workplace: remote About Merkle Science: Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies.   Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.   Responsibilities:   ·       Collaborate with Account Executives to ensure alignment of event marketing strategy with account plans. ·       Plan, execute, and track all aspects of Merkle Science’s event presence globally to maximize lead generation and pipeline growth. ·       Define marketing objectives and metrics for events. Conduct post-event evaluations, report progress towards goals, and recommend optimization strategies. Regularly measure event impact against KPIs to inform decision-making and enhance alignment with broader business goals. ·       Ensure alignment with the overall business strategy by contributing to strategic development of event marketing plans. ·       Manage event marketing budgets and report regularly on budget utilization and performance. Track budget costs and proactively communicate scope changes that affect the budget. ·       Act as the point of contact and workstream leader for event marketing, supporting cross-functional teams and internal leaders. Collaborate with the Sales team to identify marketing-supported needs and potential gaps. ·       Ensure that all logistical information for event attendees is clearly communicated and organized, including event schedules, locations, registration details, and any additional relevant information to facilitate a seamless event experience. ·       Evaluate third-party opportunities and build vendor relationships to enhance market exposure, reduce cost, and ensure quality deliverables. ·       Stay informed about overall business development strategies including partner and key account plans, advocating for alignment where necessary. ·       Work alongside teams, suppliers, and other contributors through effective project management and collaboration to exceptional levels of execution of all assigned deliverables – on schedule and within budget. Qualifications: Minimum two years of experience in event marketing or field marketing. Knowledge in trade show project management is essential, from strategy, messaging, design, logistics, vendor management, budget, execution, to post-event analysis. Experience operating within B2B or B2G marketing ecosystems preferred. Proactive, self-motivated individual with excellent organizational and communication skills. Comfortable presenting strategy and results to senior leadership. Ability to manage multiple priorities in a fast-paced environment. Proficiency with Salesforce reporting and analysis of marketing funnel metrics. Occasional travel required, less than 20%. ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.     We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

Location: London Workplace: hybrid Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.  What will you do? ·       Key objectives include establishing Merkle Science as a thought leader in the US market and enabling the sales team to meet revenue targets ·       Working closely with the sales team to identify core value proposition and differentiators and creating a strategy to communicate it at scale to potential customers ·       Lead strategy for US market expansion by building on product messaging to set new products apart from others in the market to give Merkle a unique selling point ·       Work across multiple channels to communicate Merkle Science’s value proposition and differentiators in the competitive market. ·       Create sales tools and content such as case studies, videos, website copy and blog posts ·       Collaborate with cross-functional teams for market research, user testing and interviews to discover market opportunities ·       Coordinate closely with product management and engineering teams to determine product roadmap and establish go-to-market strategy for products ·       Establish and iterate on go-to-market strategy to reach revenue targets ·       Will manage his/her own team of designers and marketers. What are we looking for?  o   Fluent in English o   At least 2-4 years of prior marketing / product experience o   Prior startup experience or experience at a boutique firm is a big plus o   Previous compliance/finance/blockchain experience is a big plus  o   Experience in analytical problem solving and quantitative analysis, including development of dashboards and reporting tools o   Ability to lead analyses, track metrics, build strategic insights and find creative ways to optimize performance o    Ability to work in a fast-changing, cross-functional environment, while maintaining an entrepreneurial approach and building rapport with ease. Ability to take complex topics and create compelling narratives for different audiences. o   Excellent project management and stakeholder management skills. o   Excellent spoken, written, and presentation communication skills ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

Location: Bangalore Workplace: hybrid ⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. Be the primary point of contact and build long-term relationships with customers.  Customer champion within Merkle Science who will work closely with the product team to advocate for key requirements of customers and identify new opportunities. Develop a trusted advisor relationship with key accounts, customer stakeholders and executive sponsors. Ensure the timely and successful delivery of our solutions according to customer needs and objectives. Communicate clearly the progress of monthly/quarterly initiatives to internal and external stakeholders. Forecast and track key account metrics. Enhance department and organization's reputation by accepting ownership for accomplishing new and different requests. Responsible for keeping current clients satisfied and delivering exceptional client service on a day-to-day basis. Monitor and analyze customer's usage of our product. Responsible for working with the Sales team to onboard and integrate new clients and developing existing client relationships. Drive upsells within existing customer base. Fluent in English. At least 3 years of prior account management experience. Previous compliance/web3/blockchain experience. At least 1 prior early-stage startup experience. Proven ability to upsell with exceptionally strong relationship and people management capabilities. A creative problem solver, results driven and self-motivated. Possesses a resilient personality and reacts well under pressure. High emotional intelligence, well organized with the ability to prioritize workload and use time effectively. Ability to handle changing requirements and unforeseen problems rapidly and positively  ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

Location: Port of Brisbane, Queensland, Australia About Bradken Bradken is a global leader in innovative wear solutions and custom-engineered products for the resources sector. For our more than 3,000 people, that global reach creates opportunities to share expertise, solve meaningful challenges and grow through new experiences. Together, we help the resources sector sustainably advance society. We're seeking a Warehouse Dispatch & Inventory Controller to join our Port of Brisbane team. This opportunity has become available due to an internal promotion, making it a great chance to join a supportive team and contribute to a critical part of our supply chain operations. About the role Reporting to the Logistics Manager, you will play an important role in ensuring accurate inventory management and on-time product dispatch. You'll work closely with internal teams, freight providers and customers to support efficient warehouse operations while maintaining high standards of safety, accuracy and service. With a strong focus on Customer Centricity, you'll help ensure products are delivered accurately and on time. You'll demonstrate Innovation by identifying opportunities to improve inventory accuracy and warehouse processes, while embracing a One Team approach through collaboration with your colleagues across warehousing, logistics and customer-facing teams. Key responsibilities include: Coordinating outbound freight and dispatch activities from the Port of Brisbane facility Supporting inventory control activities, including stock counts, discrepancy investigations and stock reconciliations Maintaining accurate inventory and warehouse records using business systems Ensuring products are packaged and dispatched in accordance with Bradken's Freight Policy Assisting with receipting inbound goods and daily invoicing requirements Supporting a safe, efficient and well-organised warehouse environment Participating in stock takes, toolbox meetings and continuous improvement activities What you’ll bring: You are a safety-focused warehouse professional who takes pride in accuracy, reliability and customer service. You enjoy working in a hands-on environment and can effectively manage competing priorities while maintaining attention to detail. You will bring: A current Forklift Licence Year 12 completion Certificate II in Transport, Logistics, Warehousing, Manufacturing or a related discipline (desirable) Experience in a warehouse, dispatch, inventory or logistics environment Strong attention to detail and organisational skills Experience with inventory control and stock management processes The ability to follow documented procedures and work safely at all times Strong written and verbal communication skills The physical capability to work on your feet and safely lift up to 20kg This role is based in Port of Brisbane, QLD Please note: Applicants must have the legal right to work in the country where this role is based. Bradken is unable to provide visa or work permit sponsorship for this role. Why join Bradken? At Bradken, you’ll do work that matters. Whatever your role, your contribution helps solve real challenges for our customers and supports safer, more efficient and more sustainable resource operations. You’ll join a team that values different perspectives, shares expertise and has the courage to challenge how things are done. We support your growth through hands-on experience, learning and development, and opportunities to work across functions and locations. Safety, respect and wellbeing come first, so you can do your best work and enjoy life beyond it. We offer: A safety-first culture Competitive pay and benefits Flexible work options, where the role allows Learning and development opportunities An Employee Assistance Program for you and your family Our hiring process As part of our selection process, we may invite you to complete a one-way video screening at a time that works for you. This helps us provide a fair and consistent experience when working across locations and time zones. If you need an adjustment or an alternative format at any stage, please let us know. Before commencing employment, you will be required to complete a psychometric assessment and a pre-employment medical, including drug and alcohol testing. We respectfully request no recruitment agency approaches. Bradken is an Equal Opportunity Employer. We are committed to providing a diverse, inclusive, engaging and flexible environment for our people. All employment decisions are based on merit, competence, performance and business needs.

Location: United States At Allucent™, we are dedicated to helping small-medium biopharmaceutical companies efficiently navigate the complex world of clinical trials to bring life-changing therapies to patients in need across the globe. We are looking for a Board-Certified Neurologist to join our A-team (remote). As Sr. Medical Director at Allucent, you are responsible for working independently to ensure the medical/clinical and safety integrity and quality of trials conducted by Allucent, serving as the medical monitor contact in study protocols to investigators and study sites team regarding protocol related questions and safety of the subjects enrolled. Experience in Neurology is a requirement for this position. In this role your key tasks will include: Independently provide medical monitor support to assigned clinical studies, for example answering medical questions from study team and/or site, assist with protocol interpretation and medical review of generated data including but not limited to clinical laboratory data and case report forms as necessary to ensure adherence to the protocol, consistency and scientific validity of the data. When appropriate, and with the necessary support from senior colleagues, assist the Project Manager in discussions with clients on safety issues or concerns that may have arisen Prepare the Medical Monitoring and other relevant plans for assigned studies conducted by Allucent prior to the start of the study and in accordance to deliverables contracted. Review Serious Adverse Events, SUSARs, safety narratives and perform Analysis of Similar Events Assist clinical data management with MedDRA and WHO coding in assigned trials Assist by reviewing clinical study documents for medical consistency and relevance, with support of senior medical team members if needed, including but not limited to the clinical trial protocol (CTP), the Informed Consent (ICF) and clinical study report (CSR) other safety reports (e.g., DSUR, PSUR) Assist in the set up and conduct of Data Safety Boards (DSMB, DMB or similar) and Dose escalation meetings (DEC) Attend, participate and present in Kick-Off, Investigators’ meeting, and other relevant meetings in assigned projects, as requested. Provide 24/7 urgent medical support for medical and safety advice if required Training of project teams on medical aspects of the trial and therapeutic training as required Review of Protocol Deviations Identify study risks and provide input to the Risk plan Review and understand study medical deliverables laid down in the assigned study’s contract with support of senior colleagues and help track budget spent throughout their assigned study(ies) Attends and may need to present at major therapeutic conferences and drug development conferences Assure good communication and relationships with (future) clients Contribute and take part with support from senior colleagues as needed in client evaluations, visits and bid defenses Requirements To be successful you will possess: MD degree Must be Board-Certified Neurologist Experience as Neurologist with Alzheimer's disease and Parkinson's disease, other neurology and psychiatry experience are key assets Minimum 7-9 years of relevant work experience with solid Neurology expertise Good knowledge of GxP Good standing with local, state (in the US), and national licensing and regulatory authorities and certifying bodies GDPR/HIPAA, CFR/CTR/CTD and applicable (local) regulatory requirements understanding Strong written and verbal communication skills including good command of English language Representative, outgoing and client focused Ability to work in a fast-paced challenging environment of a growing company Administrative excellence Proficiency with various computer applications such as Word, Excel, and PowerPoint required Benefits Benefits of working at Allucent include: Comprehensive benefits package per location Competitive salaries per location Departmental Study/Training Budget for furthering professional development Flexible Working hours (within reason) Opportunity for remote/hybrid* working depending on location Leadership and mentoring opportunities Participation in our Buddy Program as a new or existing employee Internal growth opportunities and career progression Financially rewarding internal employee referral program Access to online soft-skills and technical training via ADP and internal platforms Eligibility for our Spot Bonus Award Program in recognition of going above and beyond on projects Eligibility for our Loyalty Award Program in recognition of loyalty and commitment of longstanding employees Disclaimers: *Our hybrid work policy encourages a dynamic work environment, prescribing 2 days in office per week for employees within reasonable distance from one of our global offices . “The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively “Allucent”). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources.” #LI-DE #LI-Remote

Location: Los Angeles, CA Workplace: onsite About Revyz and Spin AI Revyz helps organizations protect and manage the Jira and Confluence Cloud environments their teams rely on every day. Its Atlassian Marketplace apps provide automated backup, granular recovery, and configuration management, helping administrators recover lost data and manage changes with confidence. Revyz is part of Spin.AI, a SaaS security and data protection company serving organizations that use Google Workspace, Microsoft 365, Salesforce, Slack, and Atlassian Cloud. Together, we help customers protect business-critical cloud data and reduce operational risk. Learn more at revyz.io and spin.ai. Why join Revyz now An employer with momentum. Spin.AI ranked No. 97 on Forbes’ America’s Best Startup Employers 2026 list, its third consecutive year of recognition, and was named to the 2026 Inc. 5000 list of America’s fastest-growing private companies. Recognized security and recovery technology. Spin.AI won five 2026 Global InfoSec Awards from Cyber Defense Magazine, including Market Innovator for Data Recovery and Visionary for Secure SaaS Backups. Bring your expertise to a team whose work is recognized across security and resilience. An established relationship with Google. Spin.AI’s extension risk scores are integrated into Chrome Enterprise, helping administrators assess browser extensions. Join an organization with technology embedded in enterprise security workflows, while building your own expertise and relationships in the Atlassian ecosystem. A broader security opportunity. Spin.AI acquired DoControl in September 2026, adding expertise in SaaS data access governance, data loss prevention, and insider risk. Alongside Revyz, this expands the opportunity to connect Atlassian data protection with wider enterprise security needs and deepen your experience across both.   About the role We are looking for a Senior Solutions Engineer who knows the Atlassian ecosystem and wants to help shape how enterprises protect and manage it. In this senior individual-contributor role, you will own Revyz technical engagements from discovery through the buying decision, working directly with customers, Atlassian Solution Partners, and our product and engineering teams. You will have room to design the approach, build reusable tools for the team, and turn customer insight into product improvements. This is an opportunity to combine hands-on Atlassian expertise with commercial impact and a visible role in the partner community. What You'll Do: Own enterprise customer outcomes Partner with sales and channel teams to understand how customers use Jira, Jira Service Management, and Confluence, who administers them, and what is at stake when data is lost or configurations change. Define decision criteria and qualify technical fit early. Lead tailored demonstrations, architecture discussions, and executive presentations around real Atlassian use cases: recovering a deleted work item or page, managing configuration changes, and protecting business-critical workflows. Help customers see how your recommendations improve their day-to-day operations. Own proofs of value with agreed scope, success criteria, timelines, and decision owners. Guide customers and partners through Marketplace app evaluations, resolve technical objections, and lead technical proposals and security questionnaires with the appropriate internal experts. Put your Atlassian expertise to work Develop deep expertise in Revyz and the relevant Spin.AI products while expanding your knowledge of enterprise SaaS security. Explain product capabilities, limitations, and competitive tradeoffs accurately, and distinguish supported functionality from roadmap items. Design and validate solutions around Atlassian backup and recovery, configuration management, permissions, retention, and data residency. Help administrators understand dependencies and recovery needs across Jira projects, Jira Service Management workflows, and Confluence spaces. Work hands-on in Jira and Confluence Cloud customer and demo environments to configure evaluations, investigate permissions and configuration issues, and validate recovery scenarios. Partner with engineering when deeper integration or technical investigation is needed. Build your profile in the Atlassian ecosystem Become a trusted advisor to Atlassian administrators, platform owners, enterprise architects, and security leaders. Build relationships with the people responsible for business-critical environments and help them make decisions they can defend to senior leadership. Work alongside Atlassian Solution Partners and consultants on joint customer engagements. Lead technical workshops and demonstrations, create reusable enablement materials, and help partners bring Revyz into their consulting and managed services offerings. Your expertise will help a wider network of teams succeed. Provide a clear handoff to customer success and support, documenting requirements, success criteria, and open issues. Stay close to strategic customers and partners as their Atlassian environments evolve, identifying opportunities to solve their next challenge. Shape the product and the practice Follow Atlassian Cloud developments, Marketplace apps, and partner and community feedback. Use that ecosystem perspective to inform customer conversations and competitive positioning, recommend product enhancements and new features, and improve our technical sales approach. Work directly with product and engineering to turn customer feedback into prioritized use cases. Help shape how we demonstrate, evaluate, and explain Revyz, with the opportunity to see your ideas become product improvements and resources used across the partner network. What you bring: 7+ years in solutions engineering, sales engineering, solution architecture, Atlassian consulting, or comparable customer-facing technical roles, including substantial experience leading complex enterprise evaluations or solution engagements through a buying decision. Hands-on experience administering or designing solutions for Jira and Confluence Cloud, including Jira workflows, schemes, permissions, configuration dependencies, and Confluence spaces and access controls. Familiarity with Jira Service Management and Assets is a plus. Strong knowledge of SaaS data protection and cloud security, including backup and recovery, identity and access management, encryption, retention, and data residency. Ability to discuss recovery point and recovery time objectives with technical and business stakeholders. Experience selling, implementing, or supporting cybersecurity, data protection, or backup and recovery solutions is strongly preferred. Relevant experience includes SaaS backup, ransomware resilience, recovery testing, security evaluations, or helping customers translate risk and compliance needs into practical protection plans. Excellent presentation, communication, and interpersonal skills, with the ability to engage both technical and non-technical audiences, including senior executives. Demonstrated ability to translate complex customer requirements into practical solution designs and measurable evaluation plans, explain tradeoffs clearly, and guide administrators and business stakeholders to a decision. Sound commercial judgment and the ability to manage multiple complex opportunities independently, prioritize effectively, and coordinate sales, product, engineering, and partner stakeholders. Significant experience in the Atlassian ecosystem, whether at a Solution Partner, Marketplace app vendor, or an enterprise Atlassian team. Understand how customers select and evaluate Marketplace apps and how partners support implementation, adoption, and ongoing services. Partner enablement experience and Atlassian certifications are strong pluses. A bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Benefits: Unlimited PTO Hybrid Office Model Paid Holidays Premium health, dental, vision, and life insurance, 100% covered by the company 401(k) Employee Wellness Program A visible role with ownership of customer engagements, direct influence on product priorities, and opportunities to build your reputation and relationships across the Atlassian ecosystem What success looks like: Customers complete evaluations with clear evidence against agreed technical and business success criteria. Atlassian Solution Partners can confidently demonstrate, evaluate, and recommend Revyz using the technical resources you help build. Technical risks are surfaced early, and customer commitments reflect validated product capabilities. Your customer and partner insights inform product priorities, and delivery teams receive clear, actionable handoffs. Technical wins contribute to new business and expansion, with evaluation progress and outcomes documented in the CRM. Why Spin.AI? Spin.AI is a SaaS security company protecting enterprises against SaaS ransomware, shadow IT, non-compliance, and data loss in the cloud. SpinOne unifies backup and recovery, ransomware detection, SSPM, DLP, and enterprise browser security in a single console — protecting more than 2,000 organizations worldwide. Backed by K1 Investment Management, a leading investor in high-growth enterprise software Named to the Inc. 5000 list of America's fastest-growing private companies (2026) Forbes Best Startup Employer, three years running (2024–2026) Named a Representative Vendor in Gartner's Market Guide for Backup as a Service and Forrester's SSPM Landscape report

Location: United States, Remote Are you on a mission to create games that bond players together into deeply invested communities? Would you like to work on something comedic with lighthearted and whimsical characters? And are you excited to build the systems and tools to help others create a rich, innovative game? As a Staff Gameplay Engineer – Systems & Performance on teamLFG, you will be a hands on technical expert in foundational gameplay systems and game performance. You will help define and evolve the architecture, frameworks, and shared systems that gameplay engineers and content creators build upon, while driving the technical direction for performance and optimization across the game. Most importantly, you will work with a fun, dedicated, and cross-discipline team devoted to turning a creative dream into a new franchise at PlayStation. We look for candidates who value joining a mission-focused team with a diverse set of backgrounds, experiences, interests, and viewpoints. RESPONSIBILITIES Design, build and maintain production-quality foundational gameplay systems, frameworks, workflows, and tools in C++ on Unreal Engine 5 Provide technical direction for shared gameplay systems, working closely with engineers and content creators to evolve their architecture, identify risks early, and ensure they scale with our simulation and networking model Own game performance and optimization: proactively profile the game, identify systemic bottlenecks and performance risks, establish priorities, and implement optimizations directly in the codebase Establish performance practices, metrics, budgets, profiling workflows, and tools that enable engineers and content creators to understand the runtime cost of their work and optimize their own systems REQUIRED SKILLS Strong C++ skills and the ability to design, implement, debug, profile, and maintain production quality systems in a large codebase Demonstrated experience architecting and evolving large-scale gameplay systems, frameworks, or shared gameplay infrastructure, beyond the implementation of individual gameplay features Deep experience profiling and optimizing real-time games, including identifying, investigating, and resolving CPU, memory, networking, and other systemic performance bottlenecks Experience developing with Unreal Engine Strong communication and collaboration skills, with the ability to explain complex technical topics and influence technical decisions across disciplines NICE-TO-HAVE SKILLS Experience developing and shipping multiplayer games, particularly games with complex gameplay simulation and networking requirements Experience developing and optimizing games across PC and console platforms At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below. $172,000 — $259,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.

Location: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ The Senior Principal Software Engineer is responsible for shaping and evolving the company’s technical landscape. In addition to designing, developing, and maintaining core systems, the Senior Principal Software Engineer provides strategic guidance to align technology initiatives with business goals. This role is vital in ensuring that the platform is secure, scalable, and performant—capable of supporting rapid growth and driving innovation. RESPONSIBILITIES Technical Strategy & Architecture ● Define and drive the overarching technical vision, ensuring the platform meets current and future scalability, performance, and security needs ● Evaluate and select tools, frameworks, and architectures to maintain a state-of-the-art technology stack Leadership & Mentorship ● Provide technical leadership and guidance to the engineering organization, setting best practices and standards. ● Coach and mentor engineers, fostering a culture of continuous learning and collaboration Innovation & Research ● Investigate emerging technologies, frameworks, and best practices ● Lead prototyping initiatives and proof-of-concepts that can transform the platform’s capabilities Scalability & Performance ● Ensure the platform is designed for high performance and can seamlessly handle increasing user loads ● Oversee performance optimization, load balancing, and capacity planning strategies Reliability & Availability ● Design fault-tolerant, highly available systems that minimize downtime and deliver a seamless user experience Infrastructure Automation ● Advocate for and implement Infrastructure as Code (IaC) principles, CI/CD pipelines, and automation best practices ● Continuously refine deployment, testing, and operations processes to improve efficiency Security & Compliance ● Collaborate with security experts to ensure platform integrity, compliance with industry standards, and protection of sensitive data ● Proactively address security vulnerabilities and champion secure coding practices Cross-Functional Collaboration ● Work closely with product managers, designers, and other stakeholders to ensure technical initiatives support business objectives ● Drive alignment between engineering roadmaps and product strategies Technical Problem-Solving ● Tackle complex architectural and technical issues, providing clear direction and innovative solutions ● Serve as an escalation point for critical system challenges Code Quality & Reviews ● Uphold coding standards through thorough code reviews, ensuring high-quality, maintainable codebases ● Establish and enforce best practices around testing, documentation, and version control Documentation & Knowledge Sharing ● Produce comprehensive technical documentation, including architectural diagrams, design guidelines, and operational runbooks ● Promote a transparent engineering culture by sharing insights and successes across the organization QUALIFICATIONS ● 12+ years of software engineering experience with demonstrated expertise across multiple domains (SDLC, AI engineering, corporate systems, etc) ● Extensive software engineering experience, with a track record in designing and implementing large-scale, distributed systems ● Deep technical expertise: Proficiency in multiple programming languages, cloud platforms (e.g., AWS, Azure, GCP), and modern development frameworks ● Leadership acumen: Demonstrated ability to lead diverse engineering teams, inspire innovation, and drive successful outcomes ● Architectural vision: Proven skill in defining and driving architectural roadmaps that align with evolving business needs. ● Problem-solving ability: Expertise in diagnosing complex system issues and designing robust, scalable solutions ● Communication skills: Excellent written and verbal communication skills, capable of influencing both technical and non-technical stakeholders. ● Security conscious: Solid understanding of security best practices, compliance standards, and data protection ● Continuous improvement mindset: Passion for optimizing processes, toolchains, and workflows ● Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience As a Senior Principal Software Engineer, you will not only architect innovative solutions but also shape the technical culture. Your leadership and expertise will be pivotal in building a resilient, cutting-edge platform that supports rapid growth and drives long-term success. Docker considers visa sponsorship on a case-by-case basis based on business needs.   Compensation & Equity United States: $219K – $352K + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: New York, United States Who We Are At OKX, we believe the future will be reshaped by crypto and blockchain technology. We operate a leading global crypto platform and build products and services designed to expand access to the digital-asset ecosystem. Across our global organization, we value ownership, sound judgment, collaboration, innovation, and the ability to operate effectively in a fast-moving and continuously evolving environment. Recruiting should insert the current approved OKX corporate “Who We Are” language when the position is posted. About the Team The Fraud Investigations Team (FIT) is a First Line of Defense function within OKX’s Risk organization responsible for identifying, assessing, investigating, and helping manage significant internal and external fraud risks affecting the company, its customers, personnel, and operations. FIT conducts and supports complex investigations involving digital assets, internal and external fraud, employee misconduct, insider threats, unauthorized access or misuse of information, vendor and third-party misconduct, account compromise, social engineering, collusion, conflicts of interest, and other significant fraud-related matters. The team works closely with Legal, HR, Information Security,Engineering, Physical Security, Compliance, Finance, Operations, and other functions across OKX. About the Opportunity We are looking for an experienced Senior Analyst, Blockchain Investigations & Fraud Intelligence to join FIT. This is first and foremost a blockchain investigations role requiring significant hands-on expertise tracing digital assets across complex blockchain ecosystems. The successful candidate must be capable of independently conducting sophisticated on-chain investigations, developing and testing attribution hypotheses, identifying relationships among wallets and entities, following assets through multiple chains and protocols, and translating highly technical blockchain activity into clear investigative findings. Blockchain analysis is a specialized investigative discipline. Accordingly, we are seeking someone who understands not only how to operate commercial tracing platforms, but also the underlying blockchain architecture, transactional mechanics, attribution methodologies, clustering techniques, tracing limitations, and evidentiary considerations necessary to reach reliable conclusions. The role extends beyond on-chain analysis. The Senior Analyst will combine blockchain intelligence with enterprise data, system logs, transactional records, open-source information, and other evidence to support complex fraud and insider-risk investigations. The position will also provide analytical support to the Global Physical Security Team (PST) on selected protective-intelligence and threat-assessment matters. The Senior Analyst will directly manage one Analyst and will be expected to serve as a subject-matter resource for blockchain investigations and analytical methodology across FIT. What You’ll Be Doing Blockchain Investigations & Digital-Asset Intelligence Lead and conduct complex blockchain investigations and transaction tracing across multiple wallets, counterparties, entities, blockchains, tokens, protocols, and digital-asset ecosystems. Trace the origin, movement, conversion, layering, consolidation, and ultimate disposition of digital assets , including activity spanning multiple intermediaries and blockchain environments. Conduct investigations using tools such as Chainalysis Reactor , TRM Labs, Elliptic, or comparable blockchain intelligence platforms , while understanding the methodologies and limitations underlying platform-generated attribution. Analyze activity involving centralized exchanges, self-hosted wallets, decentralized exchanges, cross-chain bridges, mixers, privacy-enhancing technologies, DeFi protocols, smart contracts, stablecoins, NFTs, OTC activity, gambling platforms, and other relevant ecosystems . Trace assets across multiple chains and cross-chain transactions , identifying continuity of funds where technically supportable and clearly documenting assumptions or limitations where definitive attribution is not possible. Analyze transaction graphs, address relationships, behavioral patterns, clusters, counterparties, timing, amounts, transaction sequencing, and other relevant blockchain indicators. Understand and appropriately apply wallet-clustering and attribution methodologies , including the limitations and potential for false attribution associated with particular heuristics. Independently evaluate blockchain intelligence rather than relying solely on automated labels, risk scores, or vendor-generated attribution. Corroborate on-chain findings, where appropriate, with internal account records, KYC / KYB information, transaction data, access information, open-source intelligence, legal-process returns, or other available evidence . Identify relationships among blockchain addresses, OKX accounts, external counterparties, individuals, organizations, vendors, affiliates, and other relevant entities. Reconstruct complex transaction flows and create clear fund-flow diagrams, transaction maps, timelines, and visualizations that allow investigators and nontechnical stakeholders to understand the movement of assets. Analyze blockchain activity associated with suspected fraud , theft, account takeover, social engineering, insider activity, collusion, payment diversion, asset misappropriation, or other misconduct . Identify new wallets, counterparties, entities, or transactional patterns that may generate additional investigative leads. Clearly document the methodology, assumptions, confidence level, and limitations associated with blockchain findings. Distinguish between confirmed attribution , vendor attribution, analytical inference, behavioral similarity, and an unverified investigative hypothesis . Avoid presenting blockchain proximity, exposure, clustering, or a commercial risk score alone as proof of ownership, control, intent, or misconduct. Maintain current knowledge of emerging blockchain technologies, protocols, tracing methodologies, obfuscation techniques, fraud typologies, and developments affecting blockchain attribution or investigations . Fraud Investigations & Investigative Intelligence Conduct and support investigations involving internal and external fraud , employee misconduct, insider threats, vendor and third-party misconduct, collusion, conflicts of interest, asset misappropriation, unauthorized access, credential misuse, and other significant fraud risks . Combine blockchain findings with off-chain evidence to develop a comprehensive investigative picture rather than treating blockchain activity in isolation . Develop investigative hypotheses and objectively test those hypotheses against available evidence, including information that supports, contradicts, or fails to establish the hypothesis. Conduct timeline reconstruction, link analysis, relationship mapping, pattern analysis, clustering, and comparative analysis across individuals, accounts, wallets, devices, systems, transactions, and entities. Support investigations involving account takeover, impersonation, social engineering, business-email compromise, payment diversion, affiliate misconduct, and trusted-party abuse , particularly where a digital-asset, employee, vendor, or enterprise nexus exists. Analyze vendor, affiliate, partner, and other third-party activity for indicators of billing irregularities, undisclosed relationships, conflicts of interest, unusual payments, control circumvention, or other potential misconduct. Support investigative interviews by developing transaction timelines, identifying inconsistencies or information gaps, organizing evidence, and identifying appropriate areas for follow-up. Enterprise Data & Insider-Risk Analytics Analyze appropriately authorized information including system and access logs, authentication records, audit trails, customer-account activity, KYC / KYB information, transaction records, payment information, case-management records, vendor information, and relevant security telemetry . Correlate blockchain activity with enterprise data to identify possible connections among wallets, accounts, employees, customers, vendors, devices, transactions, and other relevant entities . Support investigations involving suspected unauthorized access, information misuse or exfiltration, credential compromise, control circumvention, unauthorized disclosure, or abuse of privileged access. Identify anomalous behavior or access patterns that may warrant additional investigation. Develop repeatable analytical methodologies capable of processing and correlating information from disparate systems. Use appropriate scripting, database querying, data visualization, and analytical technologies to efficiently analyze large or complex datasets. Investigative Reporting & Evidence Prepare clear, concise, and well-supported blockchain investigation reports, investigative memoranda, executive summaries, transaction-flow diagrams, link charts, timelines, and other analytical products . Explain complex blockchain concepts and transaction activity in plain language suitable for investigators, senior management, Legal, regulators, or law enforcement , as appropriate. Clearly distinguish among allegations, investigative leads, known facts, third-party attribution , analytical judgments, assumptions, information gaps, and substantiated conclusions . Ensure analytical conclusions are proportionate to the evidence and do not imply greater certainty than the underlying blockchain or other data supports. Maintain sufficient documentation to allow significant blockchain findings to be reviewed, reproduced, and understood by another qualified analyst . Preserve and handle investigative records in accordance with applicable evidence-preservation, chain-of-custody, confidentiality, privacy, access-control, and need-to-know requirements . Support appropriately authorized law-enforcement, regulatory, litigation, or legal matters in coordination with the appropriate company functions. Protective Intelligence & Physical Security Support Provide analytical support to PST on selected matters involving threats or concerning activity directed toward employees, executives, offices, events, or other company interests. Conduct authorized open-source, link, timeline, blockchain, financial, or other analytical research where relevant to understanding the identity, relationships, capabilities, or activity associated with a potential threat. Assist in evaluating available information relating to credibility, corroboration, intent, capability, access or opportunity, targeting, escalation, timing, and other relevant indicators . Prepare objective analytical products identifying known facts, analytical judgments, material information gaps, uncertainties, and appropriate confidence levels. Support PST’s assessment while preserving PST’s responsibility for protective-security decisions and operational response . Leadership & Development Directly manage and develop one Junior Analyst, including work allocation, coaching, technical development, quality assurance, and review of analytical work product . Serve as a FIT subject-matter resource for blockchain investigations and on-chain analytical methodology . Review blockchain analysis for technical accuracy, appropriate methodology, corroboration, reasonable attribution, and evidentiary support. Train and mentor junior personnel in transaction tracing, blockchain intelligence platforms, analytical reasoning, documentation, and investigative methodology. Help establish consistent standards for blockchain investigations, attribution , documentation, quality assurance, and reporting . Participate in time-sensitive investigations affecting a global organization, including occasional work outside normal business hours when required. What We Look For In You 7+ years of relevant investigative or analytical experience , with meaningful professional experience specifically conducting cryptocurrency or blockchain investigations . Demonstrated hands-on expertise independently conducting complex blockchain tracing investigations , rather than solely reviewing blockchain alerts or commercial risk scores. Advanced proficiency with one or more blockchain intelligence platforms such as Chainalysis Reactor , TRM Labs, Elliptic, or comparable technology . Strong understanding of how blockchain intelligence platforms derive attribution, clustering, exposure, and risk information—and the limitations associated with those methodologies . Demonstrated understanding of blockchain fundamentals, including wallets and addresses, transactions, UTXO and account-based models, tokens, smart contracts, block explorers, transaction fees, confirmations, and blockchain-specific transactional structures . Strong understanding of digital-asset ecosystems including centralized exchanges, self-hosted wallets, DeFi , DEXs, stablecoins, cross-chain bridges, mixers, privacy-enhancing mechanisms, and other relevant technologies . Demonstrated ability to trace assets across multiple chains, protocols, and intermediaries and recognize when technical limitations prevent definitive continuity or attribution. Experience conducting transaction-graph analysis, wallet attribution , clustering, counterparty analysis, transaction-flow reconstruction, and investigative link analysis . Ability to critically assess blockchain attribution and distinguish among technical facts, commercial vendor intelligence, analytical inference, and unsupported assumptions . Experience integrating blockchain intelligence with off-chain evidence and enterprise information to develop investigative conclusions. Strong knowledge of fraud-investigation principles including corroboration, source evaluation, evidence preservation, timeline development, hypothesis testing, and documentation. Experience analyzing large or complex datasets and familiarity with tools such as SQL , advanced Excel, Python, Splunk, or comparable data-analysis technologies . Ability to clearly explain technically complex blockchain findings to audiences that may have little or no blockchain expertise. Strong investigative writing skills and demonstrated ability to produce accurate, concise, and defensible analytical products. Sound judgment and ability to work effectively where evidence is incomplete, conflicting, or evolving. Demonstrated discretion when handling sensitive employee, customer, investigative, security, or company information. Demonstrated experience mentoring, supervising, or reviewing the work of junior analysts or investigators. Nice to Haves Experience conducting blockchain investigations within a cryptocurrency exchange, blockchain analytics company, law-enforcement agency, regulatory organization, financial institution, intelligence function, or investigative consulting environment . Experience investigating digital-asset matters involving fraud proceeds, theft, account compromise, insider activity, social engineering, asset tracing, or complex cross-chain movement . Experience supporting asset recovery, law-enforcement referrals, subpoenas/legal process, civil litigation, regulatory inquiries, or other matters requiring defensible blockchain analysis . Experience investigating insider threats, employee misconduct, unauthorized access, data exfiltration, credential compromise, vendor fraud, conflicts of interest, or trusted-party abuse. Experience with OSINT, digital forensics, enterprise logs, security telemetry, or identity and access-management information . Experience creating custom blockchain analytics through APIs, SQL , Python, blockchain explorers, node data, or other raw-data sources , rather than relying exclusively on commercial graphical interfaces. Relevant blockchain-specific training or certifications, including certifications associated with Chainalysis , TRM Labs, or comparable blockchain-analysis platforms . Professional certifications such as CFE, CFCS, CAMS, GIAC, or comparable investigative, fraud , financial-crime, cybersecurity, or intelligence credentials . What Success Looks Like Success in this role requires significantly more than knowing how to enter an address into a blockchain analytics platform. The successful candidate should be able to receive a complex transaction, wallet, allegation, or investigative question and independently determine how to trace the activity, which chains and protocols are involved, what the available data establishes, what additional information is needed, what attribution can reasonably be made, and where the technical or evidentiary limitations prevent a definitive conclusion . The individual should be able to move seamlessly between on-chain and off-chain evidence , recognizing that a blockchain transaction may establish movement of assets without necessarily establishing the identity, knowledge, intent, or conduct of the person behind a wallet. They should also be capable of converting a highly technical blockchain investigation into a concise and defensible explanation that an investigator, attorney, executive, regulator, or law-enforcement partner can understand and act upon. At the same time, this person must be sufficiently versatile to apply the same investigative discipline to internal fraud , insider risk, enterprise data, third-party misconduct, and protective-intelligence matters when required. The hierarchy is much clearer this way: blockchain investigations are the specialized core competency; fraud /investigative intelligence is the broader mission; enterprise analytics and PST support are complementary capabilities. That should materially improve the candidate pool versus a title that makes blockchain expertise appear interchangeable with general data analytics. OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $143,000 - $214,000 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Remote (Canada); Remote (US) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. ABOUT THE TEAM The Financial Risk team is responsible for protecting Wealthsimple and its clients from fraud while enabling safe, fast, and scalable money movement. We own the Decision Platform — a real-time rules engine that processes streaming data to make fraud decisions across every major payment rail — as well as the tooling and automations that power fraud investigation workflows, transaction decisioning, account restrictions, and deposit holds. Our systems are the infrastructure layer that payment and money movement teams plug into to move money safely. ABOUT THE ROLE This is a platform PM role with a dual mandate: prevent fraud by building and tuning real-time interventions and decision rules, and enable fraud investigations by building automations and tooling that make our fraud operations team faster and more effective. You'll own a broad surface area — from the streaming decision engine that blocks fraudulent withdrawals in milliseconds, to the case management system that routes alerts to investigators, to the restriction and suspension frameworks that protect compromised accounts. WHAT YOU'LL DO - Own the product vision and strategy for the Financial Risk platform, balancing fraud prevention with client experience - every intervention has a cost, and you'll need to make sharp tradeoffs between friction and protection. - Drive the roadmap for the Decision Platform, our real-time rules engine that evaluates fraud risk across withdrawals, deposits, e-transfers, crypto transactions, and cheque deposits. - Build and improve fraud investigation tooling and automations - including case management workflows, alert deduplication, and enrichment pipelines - that help our fraud operations team investigate and resolve cases faster. - Define and evolve the restriction and mitigation framework that enables the right response to fraud signals: suspensions, withdrawal blocks, spend switch blocks, and account-level restrictions. - Operate as a platform PM, designing extensible APIs, decision schemas, and integration patterns that payment and money movement teams can reliably plug into as new products and payment rails launch. - Partner deeply with Fraud and Data Science teams on fraud model integration, fraud rule development, and the feedback loops that improve detection accuracy over time. - Own key risk metrics - fraud loss rates, false positive rates, investigation cycle times, decision latency - and use data to drive prioritization. - Break down complex, behind-the-scenes infrastructure projects into discrete phases that deliver value incrementally - this is platform work where the "client" is often another engineering team. SKILLS YOU BRING - 8+ years of product management experience with significant depth in fraud, risk, or trust & safety - you've built fraud prevention systems, investigation tooling, or risk decisioning platforms and understand the cat-and-mouse dynamics of financial fraud. - Experience operating as a platform PM: you've built systems that other teams consume, and you know how to balance internal developer experience with business outcomes. You think in APIs, schemas, and extensibility. - Strong technical fluency: you can go deep on streaming architectures, workflow orchestration, and ML model integration. You don't need to write code, but you need to reason about system design tradeoffs with engineering. - Comfort with breadth: this role spans real-time decisioning, investigation tooling, restrictions infrastructure, and regulatory reporting. You thrive when context-switching across a wide problem space, not when going narrow. - Data-driven decision making: you use quantitative analysis to identify fraud patterns, measure intervention effectiveness, and prioritize investments. - Experience working with fraud operations teams: you understand investigation workflows, alert triage, case management, and the tooling that makes analysts productive. You've closed the loop between detection and investigation. - A shipping mentality: we don't believe in spending forever analyzing and debating. The best way to validate a fraud rule is to ship it, monitor it, and iterate. - Strong communication skills: you can translate complex risk and platform concepts for engineering, operations, compliance, and executive stakeholders. - Ability to work independently: biasing towards action to drive projects forward across a broad surface area. WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers people to perform at a higher level through a deeper understanding of their bodies and daily lives. As a Senior Manufacturing Engineer, you will be responsible for developing manufacturing solutions that enable new products from early design through production ramp. You will work closely with Product Design, Mechanical, Electrical, Quality, and factory engineering teams to influence product design, define assembly strategies, and develop the fixtures, tooling, equipment, and processes required to manufacture products at scale. You will apply strong mechanical design fundamentals, DFX expertise, and hands-on manufacturing experience to identify manufacturing risks early, translate product requirements into robust manufacturing solutions, and solve complex technical challenges with a high degree of independence. RESPONSIBILITIES: - Partner closely with Product Design and Mechanical Engineering throughout product development to drive DFM, DFA, and DFX, identifying manufacturing risks and influencing product designs for assembly, quality, scalability, automation, and cost. - Develop manufacturing concepts and assembly strategies from early prototypes through production, translating product requirements into practical manufacturing processes, tooling, and equipment. - Design and develop fixtures, tooling, nests, gauges, and manufacturing aids used for assembly, alignment, bonding, welding, inspection, and test. - Own fixture and tooling development from concept through detailed design, tolerance analysis, fabrication, debugging, qualification, and release to production. - Apply GD&T, tolerance analysis, datum strategies, and mechanical design principles to ensure product and fixture designs support repeatable manufacturing and measurement. - Work with product engineering teams to evaluate component interfaces, assembly sequences, joining methods, tolerance stack-ups, and other design characteristics that impact manufacturability. - Develop and qualify manufacturing processes including adhesive bonding, heat staking, mechanical assembly, and other processes used in small consumer electronic devices. - Define critical process parameters, process windows, acceptance criteria, and controls to ensure manufacturing processes consistently meet product requirements. - Evaluate manual and automated assembly approaches and develop fixture and equipment concepts that enable appropriate levels of automation. - Use DOEs, process characterization, capability analysis, and failure analysis to validate manufacturing designs and optimize process performance. - Troubleshoot complex product, fixture, and process interactions during development builds and production ramp, driving issues to root cause and implementing robust engineering solutions. - Collaborate directly with contract manufacturers, equipment vendors, and tooling suppliers to develop, review, debug, and qualify manufacturing solutions. - Provide hands-on technical support during prototype builds, engineering validation, process qualification, and production ramp. - Travel domestically and internationally up to 25% to support development builds, tooling and equipment qualification, and production ramp. QUALIFICATIONS: - Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, or a related technical field. - 5+ years of manufacturing engineering experience supporting product development and moderate- to high-volume manufacturing. - Ability to operate independently in fast-paced product development and manufacturing environments with limited technical oversight. - Strong experience applying DFM, DFA, and DFX principles during product development, with demonstrated ability to influence product designs for manufacturing. - Strong proficiency in SolidWorks, including detailed mechanical design, assemblies, drawings, and fixture design best practices. - Strong knowledge of GD&T, datum structures, tolerance analysis, tolerance stack-ups, and dimensional inspection methods. - Experience developing and qualifying manufacturing processes for small electromechanical or battery-powered electronic products. - Experience with manufacturing technologies including adhesives, heat staking, injection-molded plastics, and automated and manual assembly. - Strong understanding of injection-molded plastic part design principles, tooling considerations, defect modes, and their interaction with downstream assembly processes. - Experience designing and executing DOEs, process characterization studies, capability analyses, and structured failure investigations. - Strong hands-on mechanical/electrical and analytical problem-solving skills with the ability to independently develop solutions to complex product and manufacturing challenges. - Experience working directly with contract manufacturers, equipment vendors, tooling suppliers, and cross-functional product development teams. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $150,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Vectra is a leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises. Their AI platform integrates signals across public cloud, SaaS, identity, and data center networks, powered by patented Attack Signal Intelligence to help security teams prioritize, investigate, and respond to advanced cyber-attacks. The company holds 35 patents in AI-driven threat detection and is recognized in MITRE D3FEND. Vectra emphasizes values of Integrity, Teamwork, and Customer First, focusing on honesty, transparency, collaboration, and delivering the most accurate attack signal to security analysts and SOC leaders. They offer a comprehensive total rewards package supporting financial, physical, mental, and overall health of employees and their families, including competitive base pay, incentive plans, employee equity (stock options), health care insurance, income/life insurance, retirement savings plans, wellness services, generous time off, and an employee recognition program. Vectra is an equal opportunity employer committed to diversity and inclusion. Candidates are invited to join the Talent Community by submitting their resume via the provided application link.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. The RL Scaling team works on how RL scales: what happens to throughput, stability, and learning efficiency as models get larger, episodes get longer, and compute grows by orders of magnitude, and what has to change in our algorithms and systems to keep getting returns from that scale. This role sits squarely across research and engineering. You'll develop next-generation architectures and RL algorithms, take them from a small-scale result to a frontier-scale run, and understand every place they behave differently along the way. You'll build the systems that set how fast the team can iterate: how many experiments, at what scale, and how quickly we can trust the results. And you'll work on Anthropic's largest and fastest RL runs, where the gap between a good idea and a working one is often a problem no one has solved yet. Key responsibilities Study how RL training and sampling scale with model size, context length, and compute, and find the algorithmic and systems changes that keep scaling efficient Develop next-generation model architectures and RL algorithms, and make them run efficiently at frontier scale Take promising small-scale results to frontier-scale runs, and diagnose why they behave differently when they get there, whether the cause is numerical, algorithmic, or systemic Build the experimental infrastructure that sets research velocity: fast, reproducible comparisons of architecture and algorithm variants at meaningful scale Own end-to-end performance of our largest RL runs, from research code down to the hardware Build performance and cost models for proposed architecture and algorithm changes, and use them to decide which ideas get scaled Investigate training dynamics at scale, including instabilities, divergence, and throughput regressions, and trace them to root cause Minimum qualifications Deep familiarity with modern transformer language models, including their architecture, training dynamics, and the behavior of large-scale optimization Hands-on experience training large models in a distributed setting, including the tradeoffs between data, tensor, and pipeline parallelism A track record of original technical work in ML training or systems, such as new methods, architectures, or optimizations, demonstrated through research, open-source, or production impact Ability to design rigorous experiments at scale, including baselines, ablations, and enough statistical care to trust a result that costs real compute Ability to reason quantitatively about the compute, memory, and communication costs of a model or algorithm Strong programming skills in Python and JAX or PyTorch, and comfort reading and changing code at every layer of the stack Preferred qualifications Research experience in reinforcement learning, optimization, or large-scale training, published or otherwise Experience developing RL algorithms for language models Experience with scaling laws or other quantitative models of training efficiency Experience designing or modifying transformer architectures beyond standard configurations Experience scaling training to large fleets of accelerators and debugging the problems that only appear at scale Deep understanding of numerics in large-scale training, including low-precision formats and sources of instability Familiarity with how GPU or TPU performance characteristics shape architecture and algorithm choices Experience with C++ or Rust Representative projects Characterize how a new RL algorithm's throughput and learning efficiency change from small models to frontier scale, and fix what breaks Develop a new attention variant, get it working at full scale, and measure how its quality and throughput compare to the baseline Prepare our next largest-ever RL run: find what breaks when model size, context length, and compute all grow at once, and fix it before launch Trace a loss instability that only appears past a certain scale to its root cause, and work out whether the fix belongs in the algorithm, the numerics, or the system Build a model that predicts the throughput and cost of a proposed architecture change before anyone writes the kernel 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: $500,000 — $850,000 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. 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: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Senior Battery Systems Engineer to lead the architecture, integration, and validation of battery systems for current and next-generation wearable products. You will work at the intersection of cell chemistry, battery pack architecture, electrical engineering, mechanical design, firmware, manufacturing, quality, and supply chain to deliver safe, reliable, and high-performing battery solutions. Through hands-on experimentation, rigorous data analysis, and cross-functional technical leadership, you will advance battery technology and strengthen engineering standards across the complete product development lifecycle. RESPONSIBILITIES: - Own battery subsystem architecture, requirements, integration, and validation from early concept development through new product introduction, mass production, and sustaining engineering. - Partner with Product, Battery Cell Engineering, Electrical Engineering, Mechanical Engineering, Firmware, and other cross-functional teams to translate product goals into battery requirements, energy and power budgets, consumption profiles, verification plans, and design documentation. - Lead the integration of charging systems, fuel gauging, protection circuitry, thermal sensing, firmware controls, telemetry, system power architecture, and mechanical battery design to optimize performance, safety, reliability, and member experience. - Develop and execute comprehensive design verification and qualification strategies, including design of experiments, accelerated life testing, reliability assessments, DFMEAs, design reviews, and pack- and system-level testing. - Lead structured root-cause investigations for development, manufacturing, and field issues, using test data, field telemetry, failure trends, and analytical tools to drive objective engineering decisions and continuous product improvement. - Partner with Quality, Manufacturing, Supply Chain, external suppliers, and third-party laboratories to evaluate specifications, qualify designs and processes, establish manufacturing controls, support regulatory compliance, and assess emerging battery technologies; travel up to 15% to engage with suppliers, manufacturing partners, and testing facilities. QUALIFICATIONS: - Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Chemical Engineering, Materials Science, Electrochemistry, or a related technical field, with 4+ years of relevant experience; an advanced degree with 2+ years of relevant experience will also be considered. - Strong understanding of lithium-ion cell chemistry, electrochemistry, battery pack behavior, degradation mechanisms, and the relationships among electrical, mechanical, thermal, and firmware systems. - Hands-on experience developing and executing test protocols for battery packs, electrical systems, printed circuit boards, or integrated hardware products. - Working knowledge of charging circuits, battery protection, fuel gauging, thermal management, battery management systems, and embedded firmware controls. - Experience using design of experiments, statistical analysis, accelerated life testing, reliability engineering, and structured failure-analysis methods to solve complex technical problems. - Ability to interpret electrical schematics, mechanical CAD models, tolerance analyses, engineering drawings, and GD&T callouts. - Strong cross-functional leadership and technical communication skills, with the ability to navigate ambiguity, articulate engineering risks and trade-offs, and collaborate effectively with internal teams and external partners; experience with space-constrained consumer electronics or high-volume battery manufacturing is preferred. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $140,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.

Location: San Francisco, CA Workplace: Hybrid About Niantic Spatial AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Real-World Test Lab Physical AI doesn't get graded on a leaderboard. It gets graded on a factory floor at shift change, in a substation with no GPS, on a site where the lighting is wrong and the stakes are real. The Real-World Test Lab closes the gap between the benchmark and the field. We bring the customer's world inside our walls - their devices, their environments, their hardest conditions, and their definition of success - and make it the bar every release has to clear. As Niantic Spatial's first and most demanding customer, we push our reconstruction, localization, and spatial understanding to their limits, find where they shine and where they break, and turn that into evidence that shapes what we build next. It's a new team at the frontier of physical AI, and you'll help invent how the job is done. About the Role We're hiring an AI Automation Engineer, reporting to the Director of the Real-World Test Lab, to build the system that produces our evidence. Today our evaluations are manual, inconsistent, and slow. You'll design and own the automation that runs them end to end on every relevant release, with no human driving it, turning one-off experiments into an always-on service the whole company relies on. This role is about owning the evidence, not executing a test plan. You'll decide how each workflow gets exercised, and you'll be measured on whether the company can trust the results, not on how much automation exists. The work counts when it keeps running correctly months later, without you in the loop. You believe evaluation is engineering, not process. You've built systems that test other systems, and you know the difference between a script that works on your laptop and infrastructure a team can trust. When a result couldn't be reproduced, you fixed the tooling instead of arguing about the number. What You'll Do - Build the Evaluation Machine - Own the automation that executes Lab evaluations end to end: environment setup, run orchestration, artifact capture, and result collection. Make reruns free so we test constantly rather than occasionally. - Make Results Comparable - Instrument scorecards so a result can be compared across product versions, devices, and capture conditions. A number without its lineage is not evidence. - Automate the Agent-Driven Layer - Build the agent workflows that exercise priority customer use cases at realistic scale, across the graded difficulty spectrum from easy to frontier, and be honest about where agents cannot yet replace human judgment. - Kill Manual Work Permanently - Convert one-off experiments into standing protocols that run on every relevant release. Automate recurring inspection wherever it can be automated, and route what genuinely cannot to scalable human review. - Make Failures Actionable - Produce diagnostics precise enough that a finding reaches its owner with a reproducible case and data attached. Findings that need re-investigation before anyone can act on them are half-finished. - Keep Data From Being the Bottleneck - Work with the AI Data Manager so every run is reproducible from a known dataset state, without anyone downloading and re-uploading data by hand. What Success Looks Like - 30 days: One priority workflow evaluated end to end with no manual steps, with results in a comparable scorecard. - 60 days: Evaluations trigger automatically on relevant releases, with diagnostics that route failures to the right owners. - 90 days: Three priority workflows under standing automated evaluation, with version-over-version comparison for leadership. What You'll Bring - Built and maintained production-grade automation or test infrastructure that other engineers relied on daily. - Experience evaluating systems where correctness is graded rather than binary, meaning quality, accuracy, or latency thresholds rather than pass/fail assertions. - Strong Python, with fluency in orchestration, CI-style pipelines, cloud storage, and reproducible environments. - Worked with backend services and APIs you did not own, integrating against them without becoming a bottleneck for their team. - Written up a technical finding clearly enough that a non-author could act on it without a meeting. - A bachelor's degree in a relevant field, or equivalent experience. Nice to Have - Built agent-based or LLM-driven automation for a task that previously required human judgment. - Worked on evaluation or benchmarking for computer vision, 3D reconstruction, or spatial systems. - Instrumented dashboards or scorecards that leadership used for release decisions. - Operated data provisioning or registry infrastructure across multiple environments and access models. Competencies - Intellectually honest. You design tests that produce answers people can trust, and you refuse to let a benchmark imply more than the evidence supports — including when the honest answer is inconvenient for your own work. - Pragmatic. You find the fastest path to a defensible result without going through one-way doors that undermine scaling. You have no patience for building infrastructure nobody has asked for yet. - AI-forward by instinct. You reach for agents and LLM-driven automation before you reach for headcount, and you're rigorous about verifying what they produce. - Builds for other people. You've maintained something after the initial excitement wore off. Your tooling is documented, your failures are legible, and colleagues use what you build without asking you to run it for them. Compensation & Benefits Base salary range of $158,400 to $210,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco office, with three days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Staff Hardware Test Engineer (Manufacturing) to lead manufacturing test strategy and deliver scalable test solutions that ensure every WHOOP device meets the highest standards of quality and reliability. You will take ownership of complex manufacturing test challenges from high-level objectives through strategy, execution, and production outcomes. Working across Manufacturing Engineering, Electrical Engineering, Firmware, Mechanical Engineering, Quality, and Reliability, you will drive alignment on test strategy, influence product and manufacturing decisions, and deliver measurable improvements in test coverage, quality, yield, cycle time, and cost. You will also establish best practices, raise engineering standards, and mentor engineers across the team.   RESPONSIBILITIES: - Lead the architecture, development, validation, and deployment of automated test equipment (ATE), electrical test fixtures, and control systems for engineering validation, NPI, and mass production. - Develop and establish scalable automated test methodologies and applications using Python to validate electrical, functional, RF, and sensor performance on manufacturing lines. - Drive cross-functional alignment across Hardware, Firmware, Manufacturing, and Quality engineering teams to make tradeoffs around test coverage, product quality, cycle time, yield, cost, and schedule. - Lead complex and ambiguous manufacturing test investigations, structuring problems, identifying technical and operational risks, and driving cross-functional teams to root cause and resolution. - Own manufacturing test readiness and outcomes through factory bring-up and production ramp with manufacturing partners, including fixture qualification, calibration, correlation, troubleshooting, and continuous improvement. - Analyze manufacturing and test data to identify systemic opportunities and deliver measurable improvements in yield, process capability, test coverage, quality, cycle time, and cost. - Establish manufacturing test best practices, methodologies, and standards that improve execution quality and scalability across programs. - Identify technical and execution risks proactively and drive mitigation strategies with engineering teams and manufacturing partners. - Contribute to product and manufacturing roadmaps by identifying test technology, infrastructure, and capability investments required for future products. - Mentor engineers and provide technical guidance on test architecture, debugging, automation, and manufacturing test methodologies. QUALIFICATIONS: - Bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical discipline. - 10+ years of experience developing hardware test systems, automated test equipment, or manufacturing test solutions for high-volume consumer electronics or similarly complex products. - Demonstrated experience independently owning manufacturing test strategy and execution from product development through NPI, ramp, and mass production. - Proven ability to lead complex, ambiguous technical initiatives and drive outcomes across multidisciplinary engineering and operations teams. - Deep understanding of electronics, instrumentation, measurement systems, and communication protocols such as UART, I²C, SPI, USB, Bluetooth, and NFC. - Experience designing electronic circuits and PCBAs using tools such as Altium Designer. - Strong proficiency in Python for developing automated manufacturing test applications; experience with C/C++ or other systems languages is a plus. - Extensive experience designing, validating, and debugging manufacturing test fixtures, instrumentation, and production hardware. - Strong understanding of manufacturing test methodologies and data analysis, including test coverage, calibration, correlation, GR&R, process capability, yield analysis, and failure analysis. - Extensive experience working with CMs and JDMs, including factory bring-up, NPI, production ramp, and sustaining support. - Demonstrated ability to influence technical decisions, align stakeholders, and communicate effectively across engineering, operations, and leadership. - Track record of delivering measurable improvements in manufacturing quality, yield, efficiency, test coverage, or cost. - Experience mentoring engineers and improving engineering practices within a team. - Ability to travel up to 15%, both domestically and internationally. - Strong commitment to leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $180,000.00 - $215,000.00 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: Amsterdam Workplace: OnSite About Us Tebi is creating the first Connected Restaurant Management System that makes hospitality flow. In one seamless platform, Tebi embeds sales, reservations, kitchen prep, payments, and all the data that powers it, creating smooth service and intuitive insights. Founded by Arnout Schuijff, co-founder of Adyen, and backed by €50 million in funding from Index Ventures & CapitalG, Tebi is built in-service of hospitality first. Thousands of restaurants, cafés, bars, and coffee shops across the Netherlands, UK, Italy, Spain, Germany, Denmark and Finland already love running on Tebi. About the Role You'll be the first person a merchant contacts when something's not working. This role sits at the center of Tebi's promise to hospitality: when a restaurant reaches out, you turn a stressful moment into a solved one. You'll own the resolution end-to-end, from first reply to final fix, and your fingerprints will be on every process we build to scale support without losing the personal touch. Your day-to-day will be full of merchant communication, investigation and problem solving as well as project work around knowledge base, new tools, AI automation and product updates. What You'll Do - Own the first response for every Tebi merchant who reaches out, across chat, email, and phone - Diagnose issues fast, using product knowledge and sharp instincts to identify the real problem - Work closely with Engineering, Product, and Ops to resolve complex problems - Hit and beat CSAT, QA, and speed targets in a high-pace environment - Turn what you learn from merchants into documentation, product feedback, and proactive education materials - Use and set up tools and AI-powered workflows to improve the way you do your work and expand it to company processes What You'll Bring - You are a creative problem solver who enjoys interacting with hospitality businesses - You are empathetic towards our merchants and curious about their business - Clear, warm communicator who can hold a merchant's confidence through chat, email, and phone - Curious about the product, want to be an expert in Tebi system and can apply your knowledge - Persistence — you don't let a ticket die in someone else's inbox - Comfortable with scheduled on-call time - Fluent in Dutch and English - Italian and/or Spanish fluency is a strong plus! If this speaks to you we can be the right fit. Learn more about how we work from our Recipe here: https://www.tebi.com/gb/careers https://www.tebi.com/gb/careers. Benefits: - Start-up Equity - Competitive Salary - Flexible time off - Lunch in the office - Team events What is Restaurant Software? Restaurants and other merchants use various software systems such as Point of Sale (POS), Reservations, Kitchen Display Systems (KDS), Payments, Inventory, Staffing, and the list goes on. These systems all need to speak to each other which they frequently don’t. It’s a mess, and we are fixing it. From buying a croissant at a cafe to having dinner with friends, it’s a €4 Trillion+ global market and a critical part of everyday life in today's economy. How we use AI at Tebi We use AI the way our merchants use Tebi, to cut out the friction and get to what matters faster. We believe in a world where AI increases quality, efficiency and speed. At Tebi, AI isn't a policy or a checkbox, it's just part of how we work. It helps us write, analyse, build, and impro

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Network Support Engineer The SIE Developer Technology Group brings together specialists across a range of technology and platform-specific areas, including Graphics, Systems, Submission, and Network technologies. We support game developers and publishers by resolving technical challenges, improving development processes, and providing solutions that help partners successfully develop and release content on PlayStation platforms. The Network team works closely with first- and third-party developers and publishers, providing technical guidance on PlayStation network services, APIs, tools, and related technologies. Job Description As a member of the Network team, you will: Provide technical support and guidance to developers and publishers across all PlayStation platforms through our support portal, online channels, on-site visits, training sessions, and industry events. Develop and maintain a strong understanding of PlayStation network services, APIs, tools, and technologies, helping partners interpret documentation and implement solutions correctly. Investigate technical issues, identify appropriate solutions, and coordinate escalations with relevant internal teams where required. Collaborate with teams across SIE regions to resolve partner issues and develop solutions that improve the developer experience. Act as a technical liaison between developers, publishers, and internal groups including Third Party Relations, Store Operations, Consumer Services, Policy, Product, and SDK teams. Gather, document, and communicate partner feedback, recurring technical challenges, and opportunities for improvement to engineering and product teams. Contribute to the development and improvement of developer-facing tools, services, documentation, and internal processes. Participate in project and software development work, including enhancing existing tools, creating new solutions, and automating internal workflows. Deliver technical training and presentations to developers and publishers, including at partner meetings and developer events. Required Familiarity with programming and scripting languages such as JavaScript, Python, C/C++, XML, or HTML. Familiarity with APIs, web services, networking concepts, or online service technologies. Experience in digital technologies, software development, technical support, or the gaming industry. Strong technical problem-solving and analytical skills, with the ability to investigate complex issues methodically. Excellent verbal and written communication skills, with the ability to explain technical concepts clearly to a range of audiences. Strong organizational and time-management skills, with the ability to manage multiple priorities and collaborate across teams and time zones. Ability to work effectively in an international and multicultural environment. Proactive, collaborative, and approachable, with strong relationship-building skills. Flexible and adaptable, with the ability to respond effectively to changing priorities and requirements. Strong attention to detail. Bachelor’s degree or equivalent practical experience. Nice to Have Experience in developer relations, developer support, technical support, or another partner-facing technical role. Experience developing internal tools, utilities, or automation. Experience with game development, production, or release management. Experience delivering technical training, presentations, or developer-facing documentation. An interest in emerging technologies, online gaming, network services, and broader industry trends. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.