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Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE As Lead Prototype Engineer on the Core Platform team, you will lead and grow a team of prototype engineers and technicians while staying hands-on at the bench. You’ll set the technical standard for how we build, diagnose, and evolve advanced humanoid robotic platforms. Your focus is electrical integration, bring-up, and root-cause analysis across the full hardware lifecycle, from concept and prototyping to field repair. You’ll emphasize reliability and repeatable processes. WHAT YOU'LL DO - Lead, mentor, and develop a team of prototype engineers and technicians. Set priorities, allocate work, and raise the team’s technical and process standards. - Stay hands-on: personally drive troubleshooting and resolution of the most complex electrical issues in prototype humanoid robots, across operational and in-development systems. Lead detailed failure analysis and share learnings with hardware and software engineering teams. - Own electrical bring-up of new prototype builds, including power distribution, motor drive and actuator electronics, sensor integration, communications buses, and high-density electromechanical integrations. - Collaborate closely with electrical, mechanical, firmware, and software engineers on prototype design, assembly, and design-for-test. - Define, maintain, and enforce test procedures, troubleshooting guides, and repair runbooks for the prototyping lab, and make sure the team follows them. - Design, document, and iterate on cable assemblies, wiring harnesses, and test jigs built for repeated use on dynamic robotic platforms. - Own lab planning and priorities: build schedules, resource allocation, tooling, equipment, and spares. Balance competing demands from multiple engineering teams. - Identify and drive continuous improvement in processes and products, reducing downtime, improving test and repair efficiency, and raising first-pass yield and manufacturability. - Build strong feedback loops across design, build, and test, and communicate status, risks, and lessons learned to engineering leadership. WHAT WE'RE LOOKING FOR - Strong, hands-on electrical engineering background in rapid prototyping, debugging custom hardware, and troubleshooting complex electrical systems in robotics or similar domains. - Deep working knowledge of low-voltage power and mixed-signal circuits, motor drives, connectors, sensors, and compact electromechanical systems. You are comfortable using oscilloscopes, logic analyzers, power supplies, and other bench instrumentation to diagnose faults. - Experience reading schematics and PCB layouts, performing board-level rework and repair, and designing or specifying harnesses and cable assemblies. - Prior experience leading or mentoring engineers or technicians, formally or as a technical lead. You are comfortable taking on direct reports and balancing people management with hands-on work. - Track record of communicating concisely through documentation, procedures, test plans, diagnostics, and lessons learned. - Adept at collaborating across electrical, mechanical, and software boundaries to solve urgent, ambiguous problems. Mechanical prototyping skills are a plus. - Comfortable in a high-velocity, high-ambiguity startup setting where priorities shift fast. Preferred: - Experience designing for manufacturability and reliability in human-sized or mobile robotics. - Familiarity with automated test and diagnostic tools used in modern hardware labs. - Experience building or scaling a prototyping or field engineering team, including hiring and setting up lab processes. - Mechanical assembly and integration experience alongside strong electrical skills. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in Massachusetts, the expected base salary range is $150K–$200K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: Global About the Company The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to make discoveries compared to 30 years ago. The easy-to-find, near-surface deposits have largely been found, and the industry has chronically under-invested in new exploration technology, relying on the manual techniques of yesteryear – even as demand accelerates for copper, lithium, and other metals to build electric vehicles, renewable energy, and data centers. KoBold builds AI models for mineral exploration and deploys those models—alongside our novel sensors—to guide decisions on KoBold-owned-and-operated exploration programs. In the eight years since founding, KoBold has become by far both the largest independent mineral exploration company and the largest exploration technology developer. Our data scientists and software engineers, who come from leading technology companies, jointly lead exploration programs with our renowned exploration geologists. KoBold has proven its first discovery with materially less capital than the industry average and found one of the best copper deposits ever discovered: the copper is far more concentrated than the global average of copper mines, and this asset alone is expected to generate meaningful revenue for decades. KoBold has a portfolio of more than 80 other projects, each of which has the potential for another high-quality discovery. KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and strategic natural resources companies BHP and Mitsubishi. About the Role KoBold explores across several continents and a widening set of commodities. This role is the geochemical capability that travels with those programs. Reporting to the Principal Geochemist, you will work as a functioning member of exploration teams in North America, Europe, and Africa; planning and running sampling campaigns, on the ground when it matters, and turning results around quickly enough to change what the team does next. The Principal Geochemist has responsibility for company-wide standards, independent data quality assurance, and global method and technology development. Your responsibility is in the practice, programs, field decisions, interpretation, and the day-to-day geochemical judgement that the exploration teams you work within depend on. You will work closely with data scientists and software engineers to develop new tools and drive an ever deepening analysis of results. You will work to company standards and audit against them in the field. You will be required to prioritize your time effectively across multiple projects, and multiply your reach by training field teams to sample well without you present. Responsibilities Demonstrate in all activities a commitment to the highest standards in health and safety, environment, and community relations Act as the embedded geochemist for exploration programs across North America, Europe, and Africa, joining project teams for the phases where geochemical decisions are being made and providing insight to existing hypotheses and the generation of new hypotheses fast enough to influence exploration decision making Design geochemical sampling programs fit for the terrain, regolith, and mineral system being tested, including orientation surveys and the choice of sampling medium, horizon, size fraction, spacing, analytical suite, and digestion, across glaciated terrain, deeply weathered tropical profiles, and arid or transported cover Own the geochemical component of drilling programs: sampling intervals and sample support, preparation protocols, quality control insertion, and real-time review of incoming assays against the geological model Apply and audit KoBold's geochemical standards and quality control procedures in the field, resolve routine control failures at program level, and escalate systemic or analytical problems to the Principal Geochemist, who retains independent data quality sign-off In close collaboration with the science team, interpret multi-element geochemical datasets across commodities and deposit types, including lithogeochemical classification, alteration and trace element vectoring, fertility screening, and appropriate treatment of compositional data Partner with geoscientists, data scientists and software engineers to improve existing tools, and develop new tools Assess legacy and third-party geochemical datasets during property evaluation and acquisition due diligence, judging quality, comparability, and fitness for purpose, and identifying where re-analysis or re-sampling is required before the data can carry weight Work alongside geologists, geophysicists, and data scientists to identify, rank, and prioritise targets, making geochemistry a primary input to targeting Coach and train field geologists and technicians in leading-practice sampling, and contribute to the standard operating procedures and field documentation that let sampling quality hold when no geochemist is on site Feed field experience back into method and technology development led by the Principal Geochemist, including practical trials of portable XRF, in-field sample preparation, and emerging analytical techniques Plan and manage a demanding international travel and deployment schedule, in coordination with the Principal Geochemist and project leadership Qualifications A great Senior Geochemist candidate will have: Strong technical knowledge of more than one ore deposit type and comfort moving between mineral systems. Experience across two or more of sediment-hosted stratiform copper, porphyry copper, IOCG, magmatic nickel-copper-PGE sulfide, or LCT pegmatite systems will be considered an advantage Demonstrated hands-on experience designing and executing surface geochemical programs, including orientation work, in more than one regolith or cover setting Experience running the geochemical side of drilling programs, from sampling protocol through quality control to interpretation of results as they arrive Practical command of quality control for sampling programs, including reference material and duplicate design, control charting, and precision and bias assessment, together with working knowledge of the Theory of Sampling Excellence in generative analysis, from new concepts through to the integration, interpretation, and modeling of large multi-element datasets Baseline level of proficiency in standard desktop software packages (e.g., ArcGIS or QGIS) and in at least one dedicated geochemical data analysis package (e.g., ioGAS) The ability to work effectively as a member of teams they do not manage, across cultures, time zones, and technical disciplines, and to earn influence through the quality of their judgement rather than through reporting lines Previous experience in coaching and training geoscientists of varying experience, educational backgrounds and cultures in leading-practice mineral exploration Willingness and ability to travel internationally for extended periods, and eligibility to work or obtain the necessary permissions across the regions covered by this role Demonstrated commitment to high standards of health and safety in the workplace A minimum of 8 years’ experience in the mineral exploration industry Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field. Ability to explain technical problems to and collaborate on solutions with domain experts who are not Geoscientists. A strong communicator who enjoys working with colleagues across the company. Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on an evolving range of responsibilities. Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company. A valid passport and willingness to travel to exploration sites around the world, especially during active field seasons. It is helpful but not required to have: Working knowledge of one programming or scripting language (e.g., Python, R) applied to geochemical data Knowledge of geostatistics, compositional data analysis, or other statistical methods relevant for analysis of geoscientific data Experience with portable XRF and in-field sample preparation as auditable, fit-for-purpose analytical capability Experience in environmental geochemistry, including baseline surveys and waste and tailings characterisation International experience, particularly in the Central African Copperbelt, or in the pegmatite provinces of central Africa and Namibia Professional registration or chartership (e.g., CGeol, FAusIMM, EurGeol, SACNASP) Working proficiency in French Note: Candidates whose background is in exploration geology with a strong geochemical specialisation, and who want to work as a geochemist across a global portfolio rather than a single project, are encouraged to apply. KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunities for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status. This position is Full-time Exempt. The US base salary range for this full-time exempt position is $140,000-$185,000, plus equity and benefits including 401k matching. Location: KoBold is a remote-first workplace. All candidates must be legally authorized to work in one of the following countries: United States, Canada, Australia, South Africa, United Kingdom, Zambia, Democratic Republic of the Congo, Namibia, Finland, Sweden, or Botswana. Please submit your application to: https://koboldmetals.com/careers/ What to Expect Joining KoBold means getting the opportunity for hands-on exposure to our exploration projects around the world. All employees are expected to travel to project sites, with a minimum of one week per year. Field-facing and technical roles spend significantly more time in the field. Compensation ranges are listed in USD. If you are based outside the US, the range may not translate directly: US pay reflects a different market with different competitive dynamics, so we benchmark roles against the local market rather than converting the listed figure.

Location: Toronto; Calgary; Winnipeg; Canada; London; Vancouver; United Kingdom; Halifax; Edmonton; Ottawa; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview As our VP of Sales - Global Public Sector, you will spearhead year-over-year global revenue growth by developing and executing on enterprise level PUBSEC customer acquisition strategies. You will drive long-term success through strategic development, coaching, and expanding Cohere’s presence in the public sector. In this pivotal leadership role, you will cultivate and guide our sales team to exceed revenue targets and organizational goals, while fostering a culture of excellence and innovation. Key Responsibilities As our VP of Public Sector Sales you will: - Develop, execute, and lead a comprehensive, global go-to-market growth strategy and sales plan for the Public Sector, driving revenue growth and market expansion working with other regional sales teams. - Provide sales and operational leadership to Cohere’s PUBSEC sales team, ensuring alignment with company objectives and priorities. - Partner with Marketing, Product, and Engineering teams to synchronize sales efforts with broader company goals. - Represent Cohere at PUBSEC industry events, conferences, and networking opportunities, as well as with regulators and government agencies, in collaboration with other regional and global leaders in Cohere. - Manage and nurture relationships with government decision-makers and partners to ensure Cohere’s success in the region. Identify and pursue new business opportunities, negotiating and closing high-value deals. - Collaborate with global teams to strengthen anchor relationships and establish best practices for enterprise-level project implementations, ensuring strong client engagement throughout project lifecycles. Qualifications This career opportunity may be a good match for you if you: - Have 10+ years of PUBSEC sales and leadership experience leading go-to-market efforts and driving revenue growth for fast paced technology organizations. - Have an established network, including federal agencies, prime contractors, and industry associations with an emphasis on the Defense and Intelligence communities. - Possess a proven track record of leading capture and sales efforts for consultative solution sales and business development efforts, with a deep understanding of regional procurement and budget cycles, customer success, and resource allocation. - Have exceptional communication and leadership skills, with the ability to build cross-functional relationships and influence at all levels. - Are comfortable operating in a matrix environment, coordinating efforts across cross-functional teams and regions without the need for a large direct organization. - Are a self-starter with an entrepreneurial mindset, capable of working independently, rolling up sleeves, and driving impact as a ‘builder.’ - Experience in AI or a related industry is highly desirable. - Must be willing to travel (25-40%). WORKING LOCATION: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Afton, Texas Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: You are a hands-on construction leader within our Data Centers team, who has delivered large-scale, mission-critical data center or comparable infrastructure from start of construction through commissioning and turnover. You know what it takes to run a major building on a live campus: sequencing trades, protecting the schedule, and keeping safety and quality from becoming trade-offs. You lead teams from the front, hold contractors and partners to a high standard, and raise issues early and honestly. You are equally comfortable walking the building with a superintendent and presenting schedule, cost, and risk to senior leadership. You believe the digital economy depends on infrastructure delivered right, and delivered on time. What You'll Do: As Senior Manager, Data Center Construction at Galaxy's Helios campus in Afton, TX, you will be Galaxy's accountable leader for construction of a large-scale data center building on the campus. You will report to the VP, Campus Construction Manager and work alongside peer Senior Managers who each own a building or scope, with shared accountability for the safety, schedule, cost, and quality standards that keep the campus aligned. You will own your building from preconstruction handoff through commissioning and turnover to operations, and you will lead the on-site Galaxy team and contractor relationships that make it happen. Key Responsibilities: Own Data Center Facility Delivery: Serve as the single point of accountability for construction of a large-scale data center facility, from GMP handoff through energization, Level 1-5 commissioning, integrated systems testing (IST), and turnover to operations. Drive the facility to its safety, schedule, cost, and quality commitments. Manage Schedule and Progress: Own the building schedule and track progress against baseline. Identify critical-path threats early, and direct recovery and mitigation plans before they affect milestones. Provide clear schedule inputs to the campus master schedule. Manage Project Risk and Contingency: Maintain a quantified risk register covering schedule, cost, supply chain, labor, weather, and trade-interface risks. Control owner contingency drawdown, run structured risk reviews with the GC and trade partners, and drive mitigation before exposure becomes impact. Drive Safety Culture: Set and enforce Galaxy's safety standards at the building level. Partner with Galaxy EHS and contractor safety leadership to sustain a zero-incident environment, and hold the team accountable for leading indicators as well as outcomes. Oversee Contractors and Trade Partners: Manage the day-to-day and executive-level relationship with the general contractor and key trade partners. Ensure alignment on milestones, quality, safety, staffing, and commercial performance, and escalate issues early. Control Cost and Change: Oversee pay applications, change orders, forecasts, and budget tracking for your building under the GMP. Enforce disciplined change management and provide accurate cost reporting to campus and executive leadership. Lead Integrated Project Controls and Forecasting: Own the facility's integrated cost, schedule, and cash flow forecast on a monthly cycle. Validate GC-reported progress against independent percent-complete and earned value analysis, report cost-to-complete and forecast variances, and give development and finance leadership a reliable view of capital deployment and funding requirements. Administer the Commercial Framework: Administer the GMP agreement and related owner contracts, including notices, allowances, buyout and savings, delay and impact claims, backcharges, retainage, and lien waivers. Protect Galaxy's commercial position and resolve disputes at the lowest level possible, partnering with Legal as needed. Manage OFCI Integration: Work closely with Pre-Construction and the OFCI procurement and logistics teams to ensure UPS, generators, chillers, switchgear, and other owner-furnished equipment arrive, are set, and are installed without impacting the construction schedule. Drive Utility and Energization Readiness: Coordinate with the serving utility, interconnect and substation teams, and Galaxy's power development group to align permanent power availability, energization sequencing, and test windows with construction and commissioning milestones. Treat power delivery as a critical-path item and escalate early. Lead Commissioning and Turnover: Partner with the on-site commissioning manager, 3rd party Cx agent, and operations teams to ensure systematic testing, closeout, and clean turnover of the building to operations. Manage Customer Delivery Commitments: Serve as the construction lead for customer-facing delivery milestones, including ready-for-service dates. Ensure facility handoff meets contractual commitments and the customer's acceptance criteria. Ensure Quality: Enforce Galaxy's QA/QC standards on your building. Escalate and resolve systemic quality issues with contractors and design partners. Coordinate Across the Campus: Work with peer Senior Managers and the VP to resolve cross-building conflicts in resources, laydown, site logistics, access, utilities, and sequencing. Advance Lean and Prefabrication: Apply Galaxy's modularization, prefabrication, and lean delivery initiatives on your building, and capture lessons learned so each building is more repeatable than the last. Manage Regulatory and Inspection Requirements: Work with local authorities, inspectors, utilities, and consultants to ensure compliance with codes and permit requirements. Report to Leadership: Provide frequent, candid status updates to senior leadership and communicate building status, risks, and forecasts to internal stakeholders across Pre-Construction, Design Engineering, Operations, and Security. What We're Looking For: Bachelor's degree in Construction Management, Engineering, Architecture, or equivalent experience. 7+ years of experience delivering large-scale mission-critical projects, with at least 3 years in a senior role leading a project or building team through construction. Demonstrated success delivering a data center, or comparable mission-critical facility, from start of construction through commissioning and turnover. Working knowledge of construction delivery models (including GMP), risk management, and contractor oversight. Technical fluency across MEP, commissioning, civil, and structural systems. Experience integrating OFCI equipment and supporting commissioning. Strong command of cost control, change management, and schedule analysis. Familiarity with Procore, Primavera P6, Bluebeam, and SharePoint. Full-time, on-site presence at Helios (Afton, TX) What You Bring: A track record of leading and developing high-performing construction teams. Excellent communication skills and the ability to influence technical and executive stakeholders. Sound judgment under pressure and a bias toward early, honest escalation. A commitment to safety, quality, and executional excellence. A passion for building world-class infrastructure that supports the growth of the digital economy. What We Offer: Competitive base salary and discretionary bonus Paid Time Off Company-paid health and protective benefits for employees, partners, and other dependents Company Paid Holidays (11) 3% 401(k) company contribution Generous paid Parental Leave Free virtual coaching and counseling sessions through Headspace Opportunities to learn about the Crypto industry Free daily snacks and weekly meal in-office Smart, entrepreneurial, and fun colleagues Employee Resource Groups Apply now and join us as we grow the economy that runs on code. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: Strava SF Workplace: Hybrid ABOUT STRAVA Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. This role is on the Strava Security Team, which exists to protect Strava’s people, business, and data through integrated, proactive security practices.   We work across all security domains, including, but not limited to, product security, vulnerability management, incident response, infrastructure, network, and enterprise security.   We follow a flexible hybrid model that generally translates to around half your time on-site in our San Francisco office – three days per week. WHAT YOU’LL DO: - Protect a platform that supports millions of athletes by ensuring Strava’s applications and infrastructure are secure, resilient, and compliant across regions. - Work closely with engineering, infrastructure, and security teams to design and implement secure architectures and development practices. - Make a high-leverage impact by shaping how Strava manages application and infrastructure risks in the US and EU, ensuring speed, accuracy, and consistency in remediation. - Build automated workflows that identify vulnerabilities early, enforce secure configurations, and strengthen our CI/CD and cloud security controls. YOU WILL BE SUCCESSFUL HERE BY: - Being highly self-motivated and detail-oriented, with a strong sense of ownership for Strava’s application, infrastructure, and network security posture. - Driving secure-by-design practices across engineering teams, including threat modeling, architecture reviews, and vulnerability management. - Embracing the usefulness of generative AI tools and applying them to your daily work. - Partnering with Engineering and Infrastructure teams to embed automated security checks into CI/CD pipelines and infrastructure-as-code deployments. - Coordinating incident response, vulnerability triage, and remediation validation in partnership with the global security team. WHAT YOU’LL BRING TO THE TEAM: - Bring hands-on experience in application and infrastructure security, including code review, threat modeling, and securing cloud-native environments (AWS preferred). - Have designed or implemented automated security controls in CI/CD pipelines using tools like GHAS, Snyk, Semgrep, Trivy, etc. - Understand how to secure containerized and distributed environments, including Kubernetes, IAM, and network segmentation. - Are comfortable managing vulnerability management programs end-to-end, from detection and prioritization through engineering remediation. - Are collaborative and pragmatic — able to influence engineering teams through partnership, technical credibility, and clear communication. For information on benefits, please click here https://docs.google.com/document/d/e/2PACX-1vTkFMPz3eCjd0FgQ28VWnK4d2BEnzGyaSFGwATR-dQdBb9HxZgay6kboqnT0-V-qaBDzSvYIzI76vT5/pub. WHY JOIN US? Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals. Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact. When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together. Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together. Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub

Location: Remote - India AI Engineer - ASR: PraDigi, a Pratham Initiative About Pratham International Pratham International is a US 501(c)(3) established to support learning innovations for children and youth in contexts across the globe. We enable the adaptation and spread of proven and scalable education solutions pioneered in India by Pratham Education Foundation to contexts across the global south through programming and technical assistance tailored to local realities.  Today, Pratham reaches approximately 7.5 million children annually across 23 Indian states and union territories and an additional 1 million across 31 countries.. Through the Pratham Shah PraDigi Innovation Centre (PraDigi), Pratham International also seeks to create technology innovations for low-resource communities, and support models aimed at learning for school, work, and life for children and youth. We work on several cutting-edge projects in the domain of Generative AI, Automatic Speech Recognition, and Natural Language Processing. The team’s innovative technology products include the Anytime Testing Model (ATM), an AI-enabled question generation and grading system that allows learners to be assessed on any topic, anytime; PadhAI: Reading Assessment App, which uses advanced speech recognition to evaluate children’s reading fluency in Hindi and eight Indian languages; and a suite of LLM-powered chatbots designed for diverse learning contexts: from BaalSakhi for early childhood care, to a skilling interview bot for youth employment readiness, and OCR-based analysis tools that digitize and assess student work at scale. At Pratham International, we build for the long term. Whether it’s ensuring products are truly accessible across rural India and the global south through languages, building datasets to ensure context and accuracy for products, or gathering feedback from the field.   Backed by partners like Google.org, Anthropic, and the Gates Foundation, we are committed to building digital public goods that ensure every child is in school and learning well. Description of the Role Pratham International, through its wholly-owned subsidiary in India (PULS Pvt. Ltd.), is looking to hire an AI Engineer for the PraDigi Initiative. As an ASR Engineer, you will lead the development and deployment of speech recognition systems for automated reading assessment across multiple languages.  The engineer will work across the full ASR pipeline: from supervising data collection, annotation, data preparation and model training to decoding, alignment, error analysis, and deployment. This is a hands-on role at the intersection of speech recognition, multilingual NLP, and educational assessment. Key responsibilities include: Data Collection and Annotation Provide technical inputs to speech data collection design, including sampling across languages, dialects, age groups, reading levels, recording environments, devices, and target items to ensure the dataset is representative and useful for model training and evaluation. Define annotation guidelines and quality checks for transcripts, reading errors, disfluencies,  background speech and other phenomena relevant to reading assessment. Work with data and field teams to identify data gaps and annotation inconsistencies through model error analysis, and recommend targeted additional data collection or re-annotation where needed. Help design annotation schemas and inter-annotator quality processes so labels are consistent enough for model training, alignment, and evaluation. Model Training Train, fine-tune, and evaluate ASR models for children’s read speech across multiple languages and accents. Build pipelines for audio preprocessing, segmentation, normalization, transcription alignment, and model training. Adapt existing ASR architectures such as Whisper, wav2vec 2.0, Conformer, CTC/RNN-T, or similar models for reading assessment. Optimize models for practical deployment environments, including low-bandwidth, store-and-forward, server-based, and potentially offline/mobile inference. Adopting for Reading Assessment Develop approaches for accurately detecting substitutions, omissions, insertions, repetitions, partial-word attempts, hesitations and self-corrections. Implement forced alignment, phoneme-level alignment, or pronunciation-scoring approaches where required. Conduct systematic error analysis by language, reading level, age, accent, gender, recording conditions, and device. Collaborate with assessment experts and field teams to translate model outputs into measures such as reading accuracy, WCPM, fluency, and reading level. Benchmarking Define and track ASR metrics relevant to reading assessment, including WER/CER, word-level accuracy, error-detection precision/recall, alignment accuracy, and reading-score agreement with human evaluators. Build reproducible experimentation and model-evaluation pipelines and maintain clear technical documentation. Desired Experience and Qualification We are looking for an AI/ML Engineer with ASR expertise that can own the ASR based reading assessment pipeline across multiple languages A Degree in any Mathematics/Computer Science/Data Science or related STEM field 3-5 years of full-time experience; at least 2 working in an AI/ML role Strong experience in automatic speech recognition, speech processing, or spoken-language technologies. Strong Python skills and experience with PyTorch or similar deep-learning frameworks. Experience working with modern ASR architectures and toolkits such as Hugging Face Transformers, NeMo, Kaldi, or equivalent. Understanding of ASR concepts including: -acoustic modelling -CTC / transducer / encoder-decoder architectures -decoding and beam search -language models -forced alignment -phoneme representations -WER/CER and ASR error analysis Experience preparing and working with large-scale audio and transcription datasets. Ability to diagnose model errors systematically rather than relying only on aggregate transcription accuracy. Why join us? Impact at a Global Scale: Your work will directly support the learning journeys of millions of children. With programs active in 31 countries, you will help build Digital Public Goods that bridge the gap for the millions of children across the Global South who still struggle with foundational literacy. Unique Technical Challenges : We apply advanced machine learning where it is needed most. You will solve "last-mile" problems—such as training ASR models on children's voices and optimizing LLMs for offline, low-bandwidth environments—that are rarely addressed in the commercial sector. A Culture of Growth and Evidence : At Pratham, we value rigorous testing and continuous learning. You will have the autonomy to experiment with the latest SOTA models, supported by a 5-year strategic roadmap and funding from partners like the Gates Foundation and Anthropic. High-Calibre, Mission-Driven Team : You will work alongside a global team of experts from institutions like MIT, Harvard, and INSEAD. Our alumni have gone on to lead successful startups and international policy shifts, all while remaining dedicated to the goal of "Every Child in School and Learning Well." Inclusive and Collaborative Environment : Join a diverse team that spans Asia, Africa, and Latin America. We value innovative thinking and local expertise, ensuring that the technology we build is deeply rooted in the realities of the communities we serve. Employment Details Contract Type : Full-Time Employment Date of Joining : Immediate Work from Anywhere in India : We offer a flexible, remote-first work environment for candidates based anywhere in India. While you have the autonomy to work from where you are most productive, you will have the unique opportunity to travel to our field locations periodically. These visits are essential to see your models in the hands of learners and to gather the real-world feedback that drives our innovation. Competitive Remuneration : Salary is benchmarked against industry standards for AI roles and is commensurate with experience. As a global organization, we are committed to providing a package that recognizes the high-market value of your technical expertise alongside the deep social impact of your work. To apply Fill out the form attached Shortlisted candidates will be contacted for further rounds Please refer to this Guidance on Candidates AI Usage by Anthropic to understand how to present yourself to Pratham International effectively Pratham International is an Equal Opportunity Employer We are dedicated to creating a diverse and inclusive workplace. We welcome applications from all qualified individuals, regardless of race, gender, disability, or any other legally protected status.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Engagement Management is a new and fast-growing practice at ClickUp, and it's quickly becoming central to how we serve our enterprise customers. Our EMs bring program leadership, service delivery and change management together in one role. As a ClickUp Senior Engagement Manager you will lead the formation and orchestration of post-sale strategy and execution for the company’s largest and most strategic clients. We're looking for someone hungry, who excels in building, and who takes genuine pride in the quality of their work. Here, Engagement Managers are the single point of accountability for outcomes. You own everything between the contract being signed and the client seeing measurable results: what was sold gets delivered, on time and on margin, and we can prove it worked. You'll lead enterprise SaaS implementations across the full engagement lifecycle, from shaping scope in pre-sales, mobilizing the team and delivery, go-live, stabilization and a clean handover to the account team. You'll run work-stream programs with Paid TAMs, AI specialists, Product and Engineering, and the client's own project team, and you'll be the trusted advisor to the client's executive sponsor.   Simply put: you are the single point of accountability for delivery, the client's partner in getting value from ClickUp, and a thought leader for how we deliver.   YOUR ROLE - Stakeholder Management - Serve as the primary client contact for delivery - Build strong relationships with stakeholders while ensuring delivery remains aligned to client objectives and contractual commitments. - Build trusted relationships with client executive sponsors and program leads at VP and C-level, acting as their primary point of contact for delivery. - Navigate complex enterprise stakeholder environments and competing priorities across client functions (IT, PMO, business sponsors, procurement) and broker alignment when they conflict. - Project Delivery Oversight - Deliver engagements against agreed scope, schedule, hours budget and quality, using rigorous change control to protect timelines and delivery margin. - Translate customer business requirements into internal deliverables and milestones - Own engagement governance, including kickoffs, weekly working sessions, sponsor check-ins and SteerCos, and provide clear, concise status reporting to clients and internal stakeholders. - Lead and coordinate multidisciplinary teams, fostering a collaborative, accountable and high-performing delivery culture while providing coaching, direction and support. - Proactively manage risks, issues and dependencies through the RAID log, and act as the primary escalation point. - Manage engagement financials, including hours burn, forecasting, utilisation and margin, flagging overrun risk early and agreeing recovery plans. - Drive AI adoption - Guide clients from manual workflows to AI-assisted and agent-driven operations, and own post-go-live adoption outcomes. - Drive Value and Business Outcomes - Identify expansion opportunities through delivery and co-sell with Account Executives, bringing the delivery credibility that secures follow-on work. - Establish a value baseline before configuration begins, track benefits through go-live, and produce the value assessment that underpins renewal and expansion. - Governance - Design and run governance mechanisms - Track delivery efficacy, timelines, value realization and customer experience - Create continuous-improvement mechanisms - Change Management & Communication - Own communications around delivery status, risks and outcomes - Manage escalation and communication across customer/internal teams - Assess change readiness and resistance across impacted teams; build sponsor and champion networks to carry the rollout. - Design the communications and enablement plan with the client, and sequence go-live to match the organization's capacity for change. - Role Development - Contribute to building the Engagement Management practice by iterating on templates, playbooks and AI workflows that make every engagement faster and more consistent.   YOUR SKILLS AND EXPERIENCE - 5+ years of software and/or services delivery experience, with at least 2 years as the accountable project, program or engagement lead. - Proven track record taking enterprise SaaS deployments from kickoff through go-live and into adoption, ideally in work management, PSA, CRM, ITSM or collaboration platforms. - Strong grasp of SaaS implementation fundamentals: workspace and data architecture, permissions and SSO, integrations, data migration, change management and enablement. No coding required, but you can challenge an unrealistic technical scope. - Comfortable with Agile, Waterfall and hybrid delivery, and knowing which one the client actually needs. - Commercial acumen: you've managed engagement budgets, SoWs, change requests and margin, and you know when to push for expansion vs when to stabilize. - Executive presence: you can run a SteerCo, deliver bad news early with a recovery plan, and hold a line on scope with a CIO in the room. - Experience leading cross-functional and distributed teams you don't directly manage, across client, partner and internal resources. - Strategic judgment to separate genuine product gaps from client process or training gaps. - Hands-on with AI: you already use AI to work faster, and you can credibly advise clients on where agents and automation fit. - Excellent written and verbal communication. Status reports people actually read.   Nice to have: Experience in work management or SaaS software, professional services firms, agencies or regulated industries. PMP Certification.   WHAT YOU'LL LOVE ABOUT WORKING HERE - Impact: Lead high-visibility enterprise engagements with global brands, and see the result in their day-to-day work. - Build something: Engagement Management is a new function. You'll help define the methodology, tooling and AI workflows that become the standard. - AI at the centre: Work on the frontier of AI-driven work management, with ClickUp Brain and Super Agents in your own delivery toolkit. - Career growth: A clear path from Engagement Manager to Senior or Principal Engagement Manager. - Community: Learn alongside Paid TAMs, AI specialists and delivery leaders across EMEA and NA. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: San Francisco, CA, USA About the role Chime's Data Science & Machine Learning team builds the models, services, and platforms behind how millions of members manage and grow their financial lives. We're hiring a Staff AI/ML Engineer on our Lending and Cashflow team to lead the modeling behind cash flow underwriting and surface member insight: using members' transaction and deposit data to make fair, accurate credit decisions for people that traditional credit scores often miss. In this role, you'll build and deploy machine learning systems on some of the richest transactional and behavioral data in fintech, turning it into the credit decisions behind products like MyPay, Instant Loans, and SpotMe. This is a highly applied role: you'll own problems end to end, from framing the question through to a model running in production and moving a metric that matters, and you'll set the technical direction for how Chime underwrites with cash flow data. In this role, you can expect to Lead the design, training, and deployment of deep learning and classical ML underwriting models that turn members' transaction and cash flow data into credit decisions, from approval and line assignment to loss forecasting Take models from problem framing through to production — training, evaluation, deployment, monitoring, and iteration — and stay accountable for how they behave once they're live Design and improve the systems around the model: feature pipelines, batch and real-time inference, monitoring, and retraining Partner with Product, Engineering, Analytics, and Risk to turn ambiguous business problems into ML solutions, and to make sure the solution is the right one Connect model performance to member outcomes and business metrics, and use experimentation to prove impact Set the technical roadmap for Lending ML and raise the bar across the team through design reviews, mentorship, and shared standards for model development, validation, and governance Help identify where AI/ML creates measurable impact for members — and where a simpler answer is the better one To thrive in this role, you have A track record of leading the design and deployment of deep learning models in production, including multi-quarter initiatives that span teams, with a solid grasp of architecture choice, training dynamics, and evaluation, and the judgment to make model design choices Solid machine learning fundamentals: classical modeling, evaluation design, and knowing which metric actually answers the question in front of you Hands-on experience across the end-to-end ML lifecycle — training, experimentation, optimization, deployment, and monitoring Comfort with messy real-world data, including label definition, leakage, class imbalance, and train/serve skew Strong proficiency in Python and SQL, with deep learning frameworks such as PyTorch and distributed compute such as Spark or PySpark Working knowledge of modern ML infrastructure — AWS and tools such as SageMaker, Airflow, Kafka, Redis, and Snowflake — and an MLOps mindset for keeping production systems healthy The ability to operate independently in ambiguous environments, influence technical direction beyond your own team, and explain model decisions clearly to engineers, risk partners, and senior leaders Nice-to-have Experience in either of these is a plus: Credit or underwriting models, and familiarity with model governance, explainability, and fairness requirements, such as adverse action reason codes and fair lending testing Cash flow or alternative-data underwriting: building credit features from bank transaction data, such as income and expense detection, balance trends, and transaction categorization Deployed transformer models in production #LI-Onsite #LI-DA1 Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $246,000 — $340,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The AI Infrastructure team builds and operates the production systems that power intelligent agents at scale. This team sits at the foundation of the agent platform, ensuring that model inference, orchestration, and execution layers are reliable, observable, and performant under real-world load. Working closely with the Agent Systems team and broader infrastructure partners, this group owns the core primitives that enable agents to safely operate across internal systems. The environment is high-scale and high-stakes — systems serve millions of users and must meet strict reliability, latency, and correctness standards. This is a deeply production-oriented team. Engineers here combine strong systems thinking with applied ML infrastructure experience, building in Rust and operating services where performance and failure modes matter.   THE OPPORTUNITY - Design and build the infrastructure layer powering AI agent systems in production - Develop high-performance services that handle model inference, orchestration, and execution - Architect scalable systems capable of supporting millions of users and high request throughput - Build reliable ML infrastructure and MLOps patterns for model deployment, evaluation, and monitoring - Define guardrails, observability, and failure handling for agent-driven workflows - Optimize latency, throughput, and cost across inference and orchestration layers - Partner closely with the Agent Systems team to translate experimental prototypes into hardened production systems - Contribute to foundational infrastructure decisions in a high-scale, high-impact environment   WHAT YOU BRING - 5+ years of experience building and operating high-scale production systems - Strong Python skills and the ability to reason about systems performance and reliability - Deep understanding of distributed systems, reliability engineering, and performance optimization - Experience operating services serving millions of users or high-throughput workloads - Familiarity with ML infrastructure, model serving, or MLOps in production environments - Experience designing observability, monitoring, and failure recovery systems - Strong collaboration skills working across infrastructure and applied engineering teams - High ownership mindset in high-stakes production environment   NICE TO HAVES - Experience with Rust - Experience building infrastructure for agent-based or LLM-powered systems - Background in high-performance networking, async systems, or low-latency architectures - Experience with container orchestration and cloud-native infrastructure - Familiarity with evaluation frameworks and model performance monitoring at scale - Experience working in fast-moving 0→1 or platform-building teams Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: 🇧🇷 São Paulo / 🌎Remote Workplace: Remote A little bit about us: We are Belvo, an open finance API platform with the bold vision of democratizing access to financial services in Latin America. We enable any financial innovator to access and interpret financial data, as well as initiate payments from their end-users accounts. We’re turning the messy complexities of the Latin American financial ecosystem into a modern set of tools to access and interpret data and move money in a seamless and secure way. We’re a highly-technical, passionate, and driven team. We are more than 90 people and our team currently represents 20 nationalities. We have offices in São Paulo and Mexico City – while a large portion of us work remotely. We are tackling a very stimulating problem: connecting fintech innovators with legacy financial infrastructure. We strive to go beyond the limits of what is possible today and to do so in an elegant and developer-first way. Since starting our adventure in May 2019, we have raised $71m from the leading VC investors globally. You can read more about our company here https://belvo.com/about/ and about our team and culture here https://belvo.com/careers/. Also, head to our blog https://belvo.com/blog/ for more news about what we’re building and how we work https://belvo.com/blog/category/working-belvo/. About the team: - We work in cross-functional, autonomous teams. We follow continuous delivery best practices executed on top of a modern technology stack.  - Our products are built for developers, by developers. Technological excellence is at the heart of what we do.   - We are pragmatic and customer-focused. We strive to find the right set of trade-offs in order to validate our hypothesis as early as possible, iterating on our products based on customer feedback.  - We communicate transparently. We do weekly all-hands where we get together to discuss company performance and goals. - While we are global and remote-friendly, we also operate from our vibrant offices in CDMX and Sao Paulo. To accommodate the various time zones in which we are based, we ensure we’re always synced up for at least 3 hours per day. - Also, we are backed by some of the leading investors in Silicon Valley and Latin America, including Founders Fund, Kaszek Ventures, and YCombinator. The challenge The Intelligence Squad is Belvo's AI enabler team. One part of the squad builds the platforms and patterns that let every team at Belvo ship AI. This role sits in the other part: turning the financial data and payments we aggregate across Latin America into models that make real decisions, who looks creditworthy, which transaction is fraudulent, what category a payment belongs to, whether an income statement checks out. That data drives real financial outcomes for the people and businesses on the other end, so the bar for rigor is high. You'll be the data science reference in the squad. We're not hiring someone to execute a modeling backlog someone else wrote. We want someone who decides which problems are worth modeling, defines how we know a model is good enough, and raises the data science bar for everyone they work with. You'll be deep enough in statistics and ML to defend a modeling choice to anyone, whether this is a set of rules to simplify a problem or a complex model that you build. You'll be close enough to the business to turn a commercial problem into a modeling roadmap and a business case. And you'll be a strong enough engineer to take your models from notebook to production and own them there. Responsibilities - Model development and selection: Lead the design of statistical and ML models (classification, regression, ranking, NLP or LLM-based) for problems like risk scoring, fraud detection and transaction categorization. Choose approaches on their merits and defend those choices with data, not habit. - AI-leveraged delivery: Use agentic coding and research tooling as a core part of how you work: exploring data, generating and testing feature hypotheses, scaffolding pipelines, writing the service around the model. We care about the decisions you ship, not hours at the keyboard, and we expect you to keep compressing the gap between the two. - Feature engineering with business context: Work with Product and the business teams to figure out which signals in Belvo's financial data actually explain the outcome you're modeling, and translate an ambiguous business question into a well-scoped modeling problem. - Productionization and ownership: Take models past the notebook. Build or shape the pipelines, APIs and services that run them reliably in production, and own them once they're live: monitoring, drift, retraining, and retirement when the evidence says so. - Experimentation: Design and run experiments (A/B tests and offline evaluation) to confirm that a model change actually moves the metric it's meant to move. - Cross-functional partnership: Work closely with Engineering, Data Research, Product, and the rest of the Intelligence Squad to ship end to end, and with stakeholders across the business to keep your models grounded in what actually matters to them. - Business and customer partnership: Work directly with stakeholders and, when needed, customers. Translate ambiguous business questions into well-scoped problems, and explain trade-offs and impact clearly to non-technical audiences, executives included. - Staying current: GenAI moves weekly. We expect you to be genuinely plugged in: model releases, papers, and tooling, to hold an opinion on what's real versus hype, and to bring the useful parts back to the squad as a demo, a doc, or a session for our company-wide AI Chapter. - Framing the problem: Decide what's worth modeling. Push back when a rule, a heuristic, or a better data pipeline solves the problem without a model, and be willing to kill or retire your own model when the evidence says so. This position may be for you if - 5+ years of experience as a Data Scientist, Applied Scientist, or in a similar hands-on modeling role. - You've owned models end to end in production, from framing the problem to monitoring it live, and you can point to the measurable business impact they had. - You have a solid grounding in statistics and can explain how your models work at that level, not just how to call them. - You've built and compared more than one type of model (for example tree-based methods, regression, deep learning) for the same problem and can justify why you picked the one you shipped. - You're comfortable in Python for data science (pandas, scikit-learn, and at least one of TensorFlow or PyTorch) and in SQL for pulling and shaping your own data. - You've taken several models you built into production yourself, not just handed it off to someone else to deploy.You http://deploy.You understand engineering fundamentals: testing, version control, CI/CD, and how to write code someone other than you can maintain. - You've built with LLMs past the API-call level: tool use or agents, retrieval, structured outputs, and shipped at least one to production. You can explain how you knew it was good enough, which means you've built some form of evaluation, not just eyeballed outputs. - Agentic coding tools are part of your daily workflow, not a novelty. You can walk us through a specific task that used to take you days and now takes hours: how you set it up, what you delegated, and where you still don't trust the output. - You're proficient in written and spoken English. Amazing if - You've worked in fintech, financial risk, or another regulated data environment before. - You have a business or strategy background alongside data science (an MBA, consulting, or a product/strategy role). - You've worked in a customer-facing data science role, such as a forward-deployed engineer or a solutions/applied team at a data platform company. - You've worked with MLOps tooling for model versioning, monitoring, and automated retraining. - You've deployed models on AWS (for example SageMaker or an equivalent managed ML service). - You've written evals or an LLM-as-judge harness for a non-deterministic system, and have opinions about where that approach breaks. - You've used LLMs inside the data pipeline itself: labeling, extraction, categorization, and can say where they beat a classical model and where they quietly don't. Tech stack - Python is our primary language for data science and modeling (pandas, scikit-learn, and deep learning frameworks as needed). - SQL against a cloud data warehouse for data access and feature work.Claude deployed company-wide and Claude Code for every engineer. Agentic tooling is part of how we work daily, not a side experiment. - Cloud infrastructure on AWS, favoring managed services so you can focus on the modeling problem rather than infrastructure plumbing. - An experimentation platform for A/B testing and offline evaluation. - We use Datadog for service observability across the company. - We follow Continuous Integration and Continuous Delivery best practices. Our tech stack: - We’re building our platform using modern technologies, putting the focus on reliability and long-term maintainability - We primarily use Python on the backend. We use battle-tested technologies such as Django, and we are heavy users of Python’s asyncio for some parts of our stack - We use Javascript, Vue.js and Sass on the frontend. We are developing and leveraging our own design system and component library - We run our infrastructure on top of Amazon Web Services, leveraging managed services. We tend to favor the use of managed services wherever possible, in order to focus on our business problems - We observe and monitor our services using Datadog - We follow Continuous Integration and Continuous Delivery best practices Our process steps: At Belvo every hire is so important to us, that we share the decision to hire as a team. - People team chat - Take-home challenge - Challenge presentation - Team fit chat - Meet the founders Our perks: 🚀 Stock options (we are all owners and this is very important to us) 📈 Annual company bonus linked to company performance 🔆 Flexible working hours 🔝 Remote friendly 🐶 Pet friendly 👩🏻‍⚕️ Health Insurance 🎊 Paid time off on your birthday 💻 Renew your laptop every 3 years 🙋 Training Budget 😎 Team building events 🙀 Bank holidays swap within 30 days 🔋 Fitness/ wellness stipends 🚀 Yearly company offsite 🍒 Fresh fruit every week, all-you-can-drink tea and coffee 🏝 Extra days off accrued when completing 2, 3, 4 years and beyond at Belvo 🎳 Yearly department offsite

Location: New York Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. ABOUT THE ROLE: We’re looking for a Head of IT to build and own the systems that enable everyone at Modal to work effectively and securely. You’ll own our employee technology environment end-to-end, including identity and access, devices, internal systems, SaaS applications, and day-to-day IT operations. You’ll work closely with Security and Engineering to build an environment that is secure by default, easy to operate, and scales with the company. This is initially a hands-on role. You’ll build systems, automate workflows, and solve problems directly. As Modal grows, you’ll define how the IT function should scale and eventually build a team around it. WHAT YOU’LL WORK ON: Identity & Access - Own employee identity and access across internal systems and SaaS applications - Build scalable onboarding, offboarding, and access lifecycle workflows - Improve SSO, MFA, least privilege, and access management in partnership with Security Devices & Endpoints - Own the lifecycle and security of employee devices - Build and maintain device management, configuration, patching, and endpoint security - Automate provisioning and make onboarding as close to zero-touch as possible Internal Systems & Automation - Own and improve the SaaS applications and internal systems we depend on - Build integrations and automate workflows across identity, HR, finance, and other business systems - Evaluate and deploy new internal capabilities, including AI tools and integrations - Use APIs, scripting, and internal tooling to solve problems that don’t fit neatly into off-the-shelf products IT Operations - Own employee support, hardware, asset management, procurement, and relevant vendor relationships - Build reliable, maintainable processes rather than scale through manual work - Identify recurring problems and solve them at the system level Build the IT Function - Define the technical direction and operating model for IT at Modal - Establish the systems and processes we’ll need as the company grows - Determine when and where additional IT capacity is needed, and build the team over time YOU MAY BE A FIT IF: - You’ve owned IT or corporate technology in a fast-growing technology company - You have a strong understanding of identity, device management, SaaS administration, and endpoint security - You have strong technical skills and are comfortable working with APIs, scripting, automation, and system integrations - You’ve designed and automated employee lifecycle and access-management workflows - You have good security judgment and experience working closely with Security and Engineering - You can independently identify problems, make pragmatic technical decisions, and drive them through implementation - You’re comfortable being hands-on today while building the systems and team needed as the company grows

Location: San Francisco, California, United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . About the Team The Finance team, led by our Chief Financial Officer, is building the capabilities Turing needs as it scales toward the public markets: sourcing and closing deals, deploying strategic capital, and telling our story to investors with rigor. This role reports directly to the Chief Financial Officer and works closely with the CEO and board. The Role We are hiring a leader to own inorganic growth and capital markets strategy on the Finance team. You will own M&A end to end, build and run our strategic investment (ventures) activity, and stand up the investor relations and IPO-readiness function. This is a mandate to own a function, not just execute deals, with direct exposure to the CFO, CEO, and board. Why This Role Matters Turing is preparing for the public markets. Success in this role will directly shape how Turing grows through acquisitions and strategic investments, how it allocates capital, and how investors understand the business ahead of an IPO. You will build these functions from the ground up, creating the M&A playbook, ventures program, and investor narrative that Turing will rely on as a public company. What You Will Own Investor Relations & IPO Readiness. Build the IR function and narrative: positioning, metrics, and messaging for current and prospective investors. Support financing rounds, cap-table strategy, and board and shareholder communications. Lead IR programs across finance, legal, and operations, and prepare leadership and management for investor scrutiny. Mergers & Acquisitions. Own the full M&A lifecycle, including strategic investing: thesis and sourcing, valuation and modeling, diligence, negotiation, and close. M&A Playbook & Pipeline. Build and codify Turing’s M&A playbook and pipeline as a repeatable engine. Build-Buy-Partner Decisions. Partner with product, engineering, and GTM leaders on build-buy-partner decisions and post-close integration. Strategic Finance & Planning. Partner with the CFO and Strategic Finance on companywide planning, capital allocation, and 0-to-1 strategic initiatives. Translate market and competitive intelligence into recommendations for the executive team. Who You Are A deal leader ready to own a function. You have sourced, led, and closed multiple transactions, and you are ready to step up to owning a full function, including standing up IR and ventures from scratch. Grounded in banking, private equity, or growth investing. Your foundation is in investment banking, private equity, or growth-stage venture, applied in-house at high-growth technology companies. Rigorous on valuation and structure. You bring strong financial modeling, valuation, and deal-structuring judgment. Board-ready. You communicate with executives and the board clearly and credibly. Minimum Qualifications 10+ years across fundraising and M&A, with investment banking, private equity, or growth-stage venture foundations. A track record of sourcing and closing multiple M&A transactions at high-growth technology companies. Direct experience with corporate venture / strategic investing. Hands-on exposure to IR and IPO readiness, in-house or advising through an IPO process. Strong financial modeling, valuation, and deal-structuring judgment, paired with executive and board-level communication. Preferred Qualifications M&A experience at a company through pre-IPO hyper-growth. Experience in AI/ML, developer tools, data infrastructure, or marketplaces. Prior BizOps or strategic-finance seat at a company that scaled through IPO. Established network across the AI founder, VC, and banking ecosystems. Location & Work Model Full-time, hybrid role based in the San Francisco Bay Area. Compensation & Benefits The annual base salary range for this full-time position is $230,000-$310,000 USD. In addition to base salary, this role is eligible for variable compensation, equity and additional benefits. Individual compensation will be determined based on job-related skills, experience, qualifications, and other relevant business considerations. Application Process Please submit: Resume A brief note on a deal you sourced, led, or structured and the outcome it drove Our interview process typically includes: Introductory conversation Executive interviews Working session Reference checks Offer Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

About Us: Wrapbook is the AI platform for production finance. We’re building a system of action that puts finance teams in control of their whole production, from payroll, to spend, to accounting. Built for feature films, TV, and commercials, Wrapbook is trusted by teams at Netflix, Paramount, Anonymous Content, and more. With backing from Andreessen Horowitz, Bessemer Venture Partners, and Jeffrey Katzenberg's WndrCo, our team of 350+ is using AI to transform how finance teams work and empower them to do more with less. The Opportunity: Senior Software Engineer II, Applied AI (Remote - USA / Canada) We are looking for a Senior Software Engineer II, Applied AI to join our Agentic Systems team, where you'll build AI agents that automate workflows for teams across Wrapbook. You'll partner directly with internal teams like Marketing, Sales, Support, Operations and Finance to find high-leverage processes, then design, ship and iterate on agents that take real work off their plates. This is a chance to define how a 400+ person company runs on AI. You'll see the impact of your work every day, while shaping the patterns, tools and standards for how we build agents at Wrapbook. What You’ll Do: — Design and build production-grade AI agents with LangGraph that automate multi-step workflows for internal teams across Wrapbook — Deploy, run and scale agents on Amazon Bedrock AgentCore, using its runtime, memory, identity and gateway capabilities to make them secure and reliable, while tracking what they cost to run and keeping it efficient as usage grows — Partner with internal teams to find high-impact workflows, draw out requirements from people who can't hand you a spec, and turn them into agent-driven solutions, explaining clearly what each agent can and can't reliably do — Integrate agents with Wrapbook's internal systems, APIs and third-party tools so they can take real actions, not just answer questions — Build evaluation, observability and guardrail frameworks to measure agent quality, catch failures and keep humans in the loop where it matters — Establish reusable patterns, shared tools and best practices that let the Agentic Systems team ship new agents quickly and consistently — Own agents end to end, from prototype to production, measuring their impact on the teams they serve and iterating based on usage data and feedback — Drive adoption through clear documentation, training and enablement, so teams understand what each agent does, trust it and know how to get the most from it What You’ll Have: — 6+ years of back-end development experience with Python, TypeScript/Node.js or Java, with a track record of delivering systems built for security, scalability, availability and performance — Hands-on experience building and shipping LLM-powered agents or workflows (with models such as Claude, GPT, Llama or Mistral), including prompting, tool use and structured outputs. — You can walk us through one you built: how it was designed, what broke and how you fixed it — Production experience with at least one agent or LLM framework, such as LangGraph, LangChain, LlamaIndex or AutoGen, and a solid understanding of AI architectures like RAG, reranking and multi-agent orchestration. — Experience with LangGraph specifically is a plus — A security-first mindset: you think about data access, permissions and failure modes in everything you build, especially when agents can take real actions — Strong product sense and communication skills, with the ability to work directly with non-technical teams to understand their workflows and turn them into reliable automation — Comfort with ambiguity and an ownership mentality: you can take a loosely defined problem from idea to production on your own — Nice to have: experience running AWS workloads in production and knowing how to design for, deploy on and get the most out of Amazon's services, ideally including Amazon Bedrock AgentCore Why Join Us: At Wrapbook, creativity meets technology — and not just in the product. In addition to a competitive salary and all the benefits you can expect from a fast-growing technology company, you’ll get access to a team of creative problem solvers and the chance to see your contributions make large impacts Benefits include: — Unlimited Paid Time Off — Work from anywhere in Canada and USA — Health and Dental benefits — Up to $1,500 USD/ $2,025 CAD towards IT set up for your home — Up to 2% matching RRSP / 401K — Learning and Development opportunities — Up to $50 USD/ $67.50 CAD towards Internet/Cell phone service Our Pledge to Fostering an Inclusive and Safe Workplace: Wrapbook pledges to be a harassment- and discrimination-free space for everyone, regardless of age, disability, ethnicity, gender identity or expression, nationality, neurotype, personal appearance, political affiliation, professional background, race, religion, or sexual identity or orientation. Apply Now Have we got your attention? Submit your application today and a member of our Talent team will be in touch with you shortly!

Location: Ireland, Dublin 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. We are looking for an experienced Senior Data Engineer to design, develop and operate trusted, scalable data solutions that power decision-making and transformation across Sony Interactive Entertainment (SIE). Working within Enterprise Data Engineering, you will build reusable data pipelines, integration services and curated data products for business domains including Finance, Supply Chain, IT Operations, People & Places, and Sales & Operations. You will partner with engineering, platform, product and business teams, take end-to-end ownership of complex solutions, and raise engineering standards through technical leadership and mentoring. You will help create reliable, governed and AI-ready enterprise data foundations. Responsibilities Design and deliver enterprise data solutions ·       Design, build, test and maintain robust batch and near-real-time data pipelines and ETL/ELT workflows across enterprise systems, APIs, SaaS platforms and cloud data environments. ·       Develop reusable, well-documented data models and domain-aligned data products, translating complex business logic into reliable engineering solutions. ·       Lead technical design for assigned initiatives, evaluate trade-offs, and ensure solutions are scalable, secure, maintainable and cost-effective. Own quality, reliability and operations ·       Own solutions throughout the engineering lifecycle, from requirements and design through deployment, monitoring, incident resolution and continuous improvement. ·       Implement automated testing, data validation, reconciliation, lineage, observability, alerting and operational runbooks. ·       Apply engineering practices including version control, code review, CI/CD, infrastructure automation and appropriate change controls; improve performance and platform efficiency. Provide technical leadership and collaborate ·       Mentor engineers, lead technical reviews and contribute to shared patterns, coding standards and communities of practice. ·       Partner with business stakeholders, architects, security, governance, analytics and platform teams to clarify requirements, dependencies and data ownership. ·       Proactively identify delivery risks, technical debt and cross-team dependencies; communicate progress, options and recommendations clearly. ·       Enable trusted data for analytics, planning, automation and AI use cases while respecting privacy, security and access controls. Skills and Qualifications ·       Typically 6+ years of professional data engineering or software engineering experience, including ownership of complex production data solutions. ·       Strong hands-on SQL and Python skills, with experience in distributed data processing using PySpark and/or Databricks. ·       Experience designing data pipelines and transformations using modern ETL/ELT tools and frameworks, such as dbt, Ab Initio or equivalent technologies. ·       Solid experience with cloud data platforms and warehouses, particularly Snowflake; knowledge of data modelling, dimensional design and data product principles. ·       Experience with orchestration, Git-based workflows, automated testing, CI/CD, monitoring and troubleshooting production data services. ·       Understanding of data security, access management, data quality, governance and regulatory considerations in enterprise environments. ·       Ability to influence technical decisions, mentor peers and communicate effectively with engineering and non-technical stakeholders. ·       Bachelor’s degree in a relevant discipline or equivalent practical experience. Desirable Experience ·       Enterprise integration experience with SAP S/4HANA, financial planning systems, supply chain applications, ServiceNow or HR platforms. ·       Experience with AWS services, APIs, event-driven integration and infrastructure as code. ·       Experience building reconciled financial data, master/reference data or enterprise operational data products. ·       Exposure to AI/ML data preparation, data observability, metadata management and modern data governance practices. ·       Experience working with globally distributed teams and supporting cross-functional transformation programmes. 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 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. The estimated base pay range for this role is listed below. €87.800 — €131.800 EUR 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 (where applicable) 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.

Location: Europe Workplace: Remote Asymmetric Research: Asymmetric Research is a specialized security firm focused on long-term, integrated partnerships with L1/L2 blockchains and DeFi protocols. We help teams build resilient systems, strengthen security posture, and proactively address emerging threats. Culture: AR is a fully remote organization and members of our team have been strongly committed to open-source values for decades, having worked at organizations with deep open-source roots and strong security programs including Google, Netflix, Mozilla, Stripe, and Jump Crypto. We pride ourselves on maintaining the highest levels of confidentiality, trust, and professionalism. About the Role: We are looking for a Site Reliability Engineer to join Asymmetric Research. In this role, you will design, operate, and scale mission-critical blockchain infrastructure supporting leading L1/L2 networks and DeFi protocols, working within a high-trust team to deliver secure, highly available, production-grade systems while driving automation, reliability, and operational excellence across our globally distributed environments. Responsibilities: - Manage and maintain a globally distributed blockchain infrastructure fleet - Design, architect, deploy, and operate production-grade infrastructure services - Implement and maintain infrastructure-as-code across development, staging, and production environments - Ensure high availability and performance of mission-critical systems - Contribute to automation, CI/CD pipelines, and operational tooling - Monitor system health and respond to incidents with strong troubleshooting fundamentals - Uphold the highest standards of integrity, professionalism, and operational discipline What we're looking for: - 2+ years of experience in a Site Reliability, DevOps, or Infrastructure Engineering role - Strong experience managing Linux systems and network infrastructure - Hands-on experience with load balancers and high-availability technologies (e.g., HAProxy, ALB/ELB) - Experience with configuration management tools (e.g., Ansible, Chef, Puppet, SaltStack) - Solid troubleshooting skills across hardware, networking, and software systems - Development experience in Go, Python, or Rust - Experience building and maintaining CI/CD pipelines and automated deployment workflows - Experience with open-source monitoring and observability tools (e.g., Grafana, Loki, Prometheus, Alertmanager) Good to have, not required: - Experience operating distributed systems using tools such as Nomad or Kubernetes - Familiarity with blockchain infrastructure, including Bitcoin, Ethereum, Solana, Cosmos, or Move-based ecosystems Benefits: - 25+ days of paid time off - Comprehensive stipends for home office, wellbeing, professional development, and more - Pension/401(k) programs - Life insurance - Premium healthcare - Competitive base salary - Lucrative bonus programs

Location: New York Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. The Infrastructure Operations Team ensures the stability and performance of QRT’s global Linux estate, which underpins both trading and research platforms. The team works closely with end users, application teams, and engineering groups to provide day-to-day operational support, while also driving automation, monitoring, and deployment initiatives across a high-performance computing environment. Your Future Role within QRT 4+ years’ experience in a systems engineering or infrastructure role supporting high-availability systems Strong Linux administration expertise (Red Hat, CentOS, Rocky Linux) Proven experience delivering full server lifecycle deployments, from hardware installation through OS build Working knowledge of solarflare cards and onload kernel bypass Solid understanding of AMD and Intel server hardware and components Working knowledge of server networking fundamentals, including TCP/IP, UDP, and LAN/WAN technologies Experience with infrastructure automation tools such as Ansible Familiarity with scripting languages, including Python and Bash Strong problem-solving ability with excellent analytical and communication skills Collaborative, team-oriented mindset with a willingness to learn and adapt Genuine enthusiasm for technology and continuous improvement Exposure to NFS or SAN storage systems is advantageous but not essential Base salary range for this position is $150,000 to $200,000 per year. QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Location: US Remote Workplace: Remote About the role We are seeking a highly skilled and customer-focused Professional Services Engineer to join our dynamic team. In this role, you will work closely with clients to understand their unique technical requirements, diagnose issues, and provide effective solutions. Your ability to dive into log files, troubleshoot complex problems, and debug issues will be essential in delivering exceptional consulting services. By leveraging your technical expertise and industry knowledge, you will ensure successful implementation, configuration, and integration of our product, while providing training and support to enable clients to maximize the value of our solution. What you'll do - Take charge of the implementation and configuration process, ensuring the seamless integration and successful deployment of Cyberhaven’s solution within clients’ existing environments. - Foster close collaboration with clients to gain a deep understanding of their technical requirements, diagnose issues, and create customized dataset and policy solutions. - Utilize log file analysis, debugging techniques, and advanced troubleshooting to identify underlying causes of complex technical problems and coordinate effective resolutions with our Support, Engineering, and Operations teams. - Work in close partnership with cross-functional teams, including developers, project managers, and support staff, to deliver high-quality solutions that adhere to timelines. - Deliver technical training to end users, empowering them with the necessary knowledge and skills to maximize the utilization of Cyberhaven to optimize their workflows and expedite ROI. - Serve as a trusted advisor to clients, offering strategic guidance, best practices, and insights to help them derive the maximum value from our product. - Conduct regular progress updates, status meetings, and post-implementation reviews with clients to ensure their satisfaction or identify areas for improvement, serving as the internal and external point of contact for client escalations. - Collaborate with the development and support teams, promptly escalating and resolving technical issues or system discrepancies to maintain smooth operations for clients. - Stay up to date with industry trends, emerging technologies, and advancements in our product offerings, continuously enhancing your technical expertise to provide valuable insights and guidance to clients. Who you are - 3+ years of Solutions Engineer, Delivery Manager, or Professional Services with Endpoint Security experience required in the Cybersecurity and DLP Space: - Proven track record of delivering complex technical solutions, preferably in a Professional Services or Consulting role, specifically with endpoint security products. - Previous experience with other DLP solutions such as Forcepoint, Symantec, McAfee DLP, Fortra (Digital Guardian), Trend Micro, Check Point, Next DLP, or Proofpoint. - Understanding of data classification methodologies and techniques to effectively identify sensitive data types and define appropriate DLP policies. - Project Management: Ability to manage and deliver against strict timelines, requiring constant prioritization and mitigation strategy-building. - Deep technical background, with hands-on experience in supporting and troubleshooting SaaS-based security and/or endpoint agent technologies. - Software debugging skills - Knowledge of web technologies, APIs, and data integration techniques. - Solid understanding of system architecture, network protocols, and Google Cloud Platform. - Practical knowledge of the MacOS (e.g., MDM, app management, basic terminal skills) and Windows (SCCM, GPO, Intune, registry configuration, understanding PowerShell scripts, etc.) ecosystems. - Excellent written and verbal communication skills, allowing one to easily convey technical concepts to diverse stakeholders and build relationships cross-functionally. - Knowledge of system software design (services, drivers, agents). - Experience with AI Agent use and creation (Claude Code, Glean, Monday etc) - Education and Certifications: Bachelor's degree in Computer Science or Engineering, or equivalent advanced industry certifications, or 3+ years of experience in a similar role. - Candidate location preference: Central or Eastern timezones Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: Minsk Workplace: hybrid About NRS National Retail Solutions (NRS) is a leading provider of point-of-sale, payment, and digital solutions to tens of thousands of independent retailers across the United States and Canada. As a major player in the retail technology industry, NRS is expanding into next-generation cloud platforms, high-throughput retail ecosystems, and advanced analytics solutions. We are building modern, highly scalable systems designed specifically for high-volume retail operations and real-time reporting. This project represents one of the most significant technical initiatives in NRS’s history and offers a rare opportunity to join at the ground floor of a major strategic expansion. Role Overview: We are seeking a Senior Full Stack Engineer based in Minsk, Belarus to join our distributed engineering team. In this role, you will help architect and build core components of NRS’s next-generation retail platform. You will focus heavily on robust backend services written in Golang, high-throughput query performance, and leveraging ClickHouse for real-time reporting and large-scale data modeling, alongside modern front-end architectures using Vue.js and micro-frontends Experience with columnar/OLAP databases like ClickHouse is highly desired to support our analytical engine, but deep, hands-on mastery of SQL, data indexing, and database performance profiling is the primary requirement. You will work closely with engineering leadership, product managers, and architects across Israel, Belarus, and the U.S., contributing meaningfully to the technical direction, data architecture, and scalability of our products. This position requires 3 days a week in-office work at our office in Minsk to collaborate in person with local engineering peers, along with regular remote collaboration across our global teams Responsibilities: Technical Leadership & Architecture Architect, build, and maintain high-performance full-stack applications—ranging from real-time analytics dashboards to reporting pipelines—with a strong focus on Golang for backend microservices and Vue.js on the front end. Design, model, and optimize high-speed relational and analytical data stores—writing advanced SQL queries, materialized views, aggregation logic, and indexing strategies to power real-time reporting dashboards. Leverage analytical data stores (ideally ClickHouse ) to build ultra-efficient reporting engines and handle high-throughput data ingestion. Design and implement modular micro-frontend architectures to support scalable, independently deployable UI components across team boundaries. Take end-to-end ownership of core system components, high-throughput backend APIs, and event-driven microservices. Drive architectural design, technical planning, query optimization, and engineering best practices across the team. Ensure platform scalability, low latency, fault tolerance, and secure service design. Execution & Delivery Write clean, maintainable, highly efficient, and well-tested Go and JavaScript/TypeScript code. Collaborate with product and engineering teams in the U.S. and locally to translate complex requirements into robust, scalable technical solutions. Uphold code quality through thorough code reviews; we use AI-assisted tooling (Cursor, Copilot, Claude Code) as part of our workflow. Debug, profile, and optimize complex SQL queries, execution plans, database locks, and distributed backend microservices. Collaboration & Culture Participate in daily standups, sprint planning, and retrospectives to support continuous delivery. Communicate effectively across time zones and collaborate seamlessly with global engineering leadership. Required Qualifications: 6+ years of full-stack development experience , with at least 2 years in a senior or lead capacity . Solid Backend Expertise in Go: Proven track record of designing, building, and scaling Go-based microservices, concurrent applications, and REST/gRPC APIs. Deep SQL Mastery & Data Modeling: Expert-level knowledge of SQL, including writing complex joins, subqueries, query execution plan analysis (EXPLAIN), indexing strategies, schema normalization/denormalization, and performance profiling for large-scale reporting datasets. Modern Frontend & Micro-Frontend Mastery: Strong hands-on experience with modern JavaScript/TypeScript frameworks—specifically Vue.js (Vue 3 / Composition API). Demonstrated experience designing or working within micro-frontend architectures (e.g., Module Federation, single-spa, component isolation). Experience building end-to-end SaaS products, microservices, or complex distributed web platforms. Proficiency with Linux/Unix environments, Git, and CI/CD automation workflows. Strong problem-solving mindset with the ability to lead technical initiatives independently. Excellent English communication skills with experience collaborating with remote/U.S.-based stakeholders. Nice to Have: ClickHouse / OLAP Experience: Direct hands-on experience with ClickHouse or other columnar/analytical databases (Snowflake, BigQuery, Redshift) is a strong plus . Working knowledge of PHP (legacy service integration/migration). Familiarity with containerization and orchestration ( Docker, Kubernetes ). Hands-on experience with cloud platforms (ideally AWS ). Knowledge of real-time communication technologies ( WebSockets, gRPC, Kafka, or NATS ). We are pleased to offer: Hybrid work opportunity (3 days in the office)! Modern office with free parking in the very center of Minsk. An exciting and challenging job with talented people around. Competitive salary and growth opportunities. Really good hardware. 26 vacation days & 5 fully covered sick days without sick leave required per year. Compensation for professional training, seminars, and conferences. Sports activities reimbursement and loyalty program. Medical insurance. Referral program - get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and  have over $1.5 billion in revenues.     We are not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions.   Our National Retail Solutions brand provides a sales management system and POS equipment to small and medium-sized businesses. With the help of NRS, business owners can solve a management problem: the product includes integrated advertising, data analysis, and payment processing.