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Location: San Francisco, CA; US - Remote; New York, NY; Atlanta, GA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE FINANCIAL SERVICES TEAM - Our financial services customers span systemically important banks, neobanks committed to building more delightful banking software (1 in 3 of the world's leading banks use Sierra!), insurers that provide protection for life’s most challenging moments, vertically integrated ecosystems like Rocket Companies, and more. The decisions we make impact millions of end customers and billions of dollars in economic activity. - Our financial services team partners closely with these organizations to set their AI strategies and build modern tools that carefully handle moments when a person’s private anxiety meets an institution’s procedural muscle - the instant before a family learns whether they are pre-approved for a mortgage; the claustrophobic half hour after someone notices a fraudulent charge; the frustrating experience of losing a card and needing to order a new one. - Sierra’s Financial Services team is transforming the customer experience and building technology that makes the industry more accessible, human, and affordable for everyone. WHAT YOU'LL DO - Be the primary partner to your Sales counterparts helping to win deals and grow customers - Go from first discovery to a tailored, working agent in days, not weeks, across prospects and existing customers - Work with every team involved in the decision: CX, IT, security, procurement, and executive sponsors - Own the end-to-end technical pre-sales process by scoping customer use cases, articulating business value, designing and demoing Sierra’s incredible platform, leading technical and architecture reviews, and serving as the trusted technical expert throughout the sales cycle - Mentor newer SEs and contribute reusable assets for your industry or team - Stay with the account after the sale, through the Agent Development handoff, launch, and expansion to new use cases - Go deep on your industry, the patterns, and winning motions to scale your work WHAT YOU'LL BRING - 4-6+ years experience in Sales Engineering, Solutions Engineering or customer-facing technical sales - Experience in leading the sales process with large Enterprise customers with deal sizes ranging $500-$1M - Past experience in demo building, and presenting, and working with customers or clients in the GTM function - Experience in relationship-building with prospects, including executives and technical leaders - Ability to connect a prospect’s specific business problems and Sierra’s solutions and explain them to both a technical and non-technical audience - Ability to leverage AI tools efficiently as a regular part of your technical sales motion — discovery prep, solution design, demo and prototype building, technical proposals. Importantly, you own the accuracy of anything you put in front of a customer, whether or not AI helped you build it - Experience growing accounts past initial sale - Bachelor's Degree or above; bonus if in Computer Science or related field, or equivalent professional experience EVEN BETTER... - Experience translating code, technical logic and user requirements to product and engineering requirements - Selling a technical AI product OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: NY_Manhattan_Office Who we are… Verra Mobility is a global leader in smart mobility. We develop technology-enabled solutions that help the world move safely and easily. We are fostering the development of safe cities, working with police departments and municipalities to install over 4,000 red-light, speed, and school bus stop arm safety cameras across North America. We are also creating smart roadways, serving the world's largest commercial fleets and rental car companies to manage tolling transactions and violations for over 8.5 million vehicles. And we are a leading provider of connected systems, processing nearly 165 million transactions each year across 50+ individual tolling authorities. Position Overview: Plan – with Product and Engineering to create aligned roadmap and backlogs, understand/manage input, throughput, and capacity. Execute – with the team to deliver the committed projects, on time within budget with quality, help manage changes/disruptions to the team, partner with other managers/teams adhering to best practices, process and audit constraints. Communicate – keep both stakeholders and team informed on status, issues and risks. Grow – coach and develop team, identify and work to close talent/resource gaps, identify and work to introduce new technologies to our solutions. Guide team development efforts towards successful project delivery. Provide hands-on technical leadership to teammates through delivery of quality solutions to technical problems. Maintain high standards of software quality within the team by establishing good practices and habits. Assist in the collection and documentation of user's requirements, development of user stories, estimates and work plans. Participate in peer-reviews of solution designs and related code. Provide guidance on resolving technical and application problems. Assess opportunities for application and process improvement and prepare documentation of rationale to share with regional R&D Director, team members and other affected parties. Adhere to high-quality development principles while delivering solutions on-time and on-budget. Analyze system specifications and translate system requirements to task specifications for less experienced software engineers. Participate in agile estimations, planning, daily ceremonies and retrospectives to drive continuous improvement in team and personal performance. Deliver maximum value to the customer, ensuring that all involved have the resources they need, are communicating well, and are shielded from distractions and interruptions. Responsible for keeping time goals clear and visible to teams. Facilitate daily stand-ups “check-ins”, Planning, Showcases and Retrospectives. Coach teams to victory by guiding effective ways to communicate project visions, that inspires team to achieve. Ensure time management and recording is completed on-time (weekly) and is accurate. Participate in performance & salary review sessions. Manage conflicts within the team and reach out for support where appropriate. 1 on 1 catch ups with team members to provide opportunity for bi-directional feedback. Qualifications 10+ years of experience in commercial enterprise software delivery. 3+ years of hands-on cloud technology experience. (Azure preferred, AWS). Good Knowledge & experience with cloud security, cybersecurity practices, compliance, data privacy & security protocols & practices. Complete understanding of all phases of application development and the use of AGILE methodologies. BA/BS or advanced degree in Business, Computer Science or equivalent preferred but not required. Deep technical expertise in core technologies (C#, .Net, Java, Python) and proven experience in key delivery areas (Back-office, Artificial intelligence, IOT, security and integration). Good day to day planning, resource management and time management skills Good communication skills to be able to discuss issues with software engineers and all levels of management. Establish oneself as a credible source for guidance on organizational standards and norms. Demonstrate the courage to say "no" when necessary and provide thoughtful reasoning on why. Synthesize information, experience, and various inputs to determine the best course of action for teams and units. Optimize and integrate large-scale systems to continually improve quality and service. Hold others accountable for meeting customer needs. Encourage others to seek perspectives from impacted stakeholders. To collaborate/communicate with both technical and business stakeholders. Strong analytical skills and attention to detail. Willingness and ability to coach and mentor less experienced engineering staff. Improved efficiency and effectiveness of Verra Mobility products and services. Improved quality of deliverables to both internal and external clients. Projects delivered on time and within estimated budgets. Successful completion of the Nlets fingerprinting background assessment. Must be okay with commuting 2-3 days into our New York City, NY office Verra Mobility Values An ideal candidate for this role naturally works in alignment with the Verra Mobility Core Values: Own It. We focus on high performance and drive toward breakthrough outcomes. Our employees ensure accountability, optimize and align work, focus on the customer, and cultivate innovation. Do What’s Right. We champion integrity and good character. Our team members model ethical behavior, demonstrate good judgment and are courageous. Choose Courage Over Comfort. We lean into the conversations, decisions and actions that move the business forward, even when they feel uncomfortable. We challenge assumptions, address issues early and prioritize progress over ease. Win Together. We believe in growing and inspiring people together. We seek people who collaborate, value differences, think and act globally, foster an engaging work environment, and recognize and develop others. With your explicit consent which you provided as part of the application process, we will retain candidate personal data solely for the business purpose for which it was collected. In no event will we retain such data more than two (2) years following the closure of the recruitment process relating to the role for which you applied or in the event other related job opportunities arise within the company. Verra Mobility Applicant Privacy Notice Verra Mobility is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. .

Location: Redwood City, CA, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU Our Mission : Simplify and accelerate how Boxers bring applications to life. We provide a unified platform for configuring, deploying, and running Box services seamlessly, securely, reliably, and efficiently across optimal regions worldwide. Our team owns Box's Platform as a Service (PaaS) based on Kubernetes. With Box being an early adopter, supporter, and contributor of Kubernetes, you will work for the company that introduced kubectl , kube-state-metrics , kube-applier , and kube-exec-controller to the open-source community. Every team and service at Box relies on our platform and we are looking for a leader for this team. This is where you come in! We are looking for a Software Engineer to join our Kubernetes Platform Team. In this role, you will design, build, and operate scalable, reliable, and secure Kubernetes-based infrastructure that enables product teams to deploy and run applications efficiently. You will work on core platform services, improve developer experience, and contribute to the long-term evolution of our cloud-native platform. This role requires strong backend engineering skills, deep knowledge of Kubernetes and cloud-native technologies, and the ability to work independently on complex technical problems. WHAT YOU'LL DO Design, develop, and maintain Kubernetes platform components and services (e.g., clusters, operators, controllers, admission webhooks). Build and operate scalable, highly available Kubernetes environments in hybrid cloud infrastructure. Develop internal platform tools and APIs to improve developer productivity and self-service capabilities. Implement best practices for reliability, security, observability, and cost optimization across the Kubernetes platform. Collaborate with application and security teams to understand requirements and provide platform solutions. Troubleshoot complex production issues related to Kubernetes, networking, storage, and distributed systems. Automate infrastructure provisioning and lifecycle management using Infrastructure as Code terraform. Contribute to technical design reviews, architecture discussions, and platform roadmaps. Mentor early-career engineers and provide technical guidance within the team. Stay current with Kubernetes ecosystem trends, CNCF projects, and cloud-native best practices. Participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise. WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. Required skills 3+ years of experience in software or infrastructure engineering Strong knowledge of Kubernetes internals and ecosystem tools (Terraform, Helm, ArgoCD, Istio/Linkerd, Calico, Prometheus, etc.). Experience managing production Kubernetes clusters on public cloud provider (GCP, AWS). Proven experience with Infrastructure-as-Code tools (Terraform, Ansible) and CI/CD pipelines. Solid understanding of Linux systems, networking, and containerization. Passion about open source and staying up-to-date with the community Preferred skills Experience with multi-tenant Kubernetes environments or platform engineering. Knowledge of security best practices in cloud-native platforms (OPA/Gatekeeper, workload identity, network policies) Familiarity with cost management strategies in the cloud (e.g., autoscaling, rightsizing, spot/preemptible instances). Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chair Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $165,000 — $206,000 USD

Location: Remote Workplace: Remote Hi, we’re Gravie. Our mission is to create health benefits that actually benefit small and midsize businesses and their employees. Our innovative benefit solutions and services are developed and delivered by a diverse group of unique people. We encourage you to be your authentic self - we like you that way. ROLE SUMMARY Gravie is seeking a technically engaged Senior Manager, Engineering to lead two teams, Carrier Integration and Platform Maturity, each staffed by a mix of full-time and contract engineers. Carrier Integration builds and runs integrations with insurance carriers, enrollment platforms, and HRIS/payroll providers, where data correctness directly affects members’ coverage and deductions. You will own outcomes for both teams, in partnership with your Product Management counterparts: what ships and how reliably it runs in production. You will be the face of these teams in cross-team, leadership, partner, and vendor forums, bringing decisions back and raising priorities and risks early. We are at a critical stage of agentic AI adoption. Engineers at Gravie use AI agents to develop specs and plans and execute multi-step engineering work, while owning guardrails, acceptance criteria, and the quality of what ships. This role is central to that shift. You will be an active champion for agentic AI adoption and accountable for how effectively both teams adopt these practices, including helping build the tooling that makes them work. The right fit solves problems creatively, gets directly involved when a team needs it (reviewing merge requests, helping debug production issues, and critically reviewing architecture and designs, though not necessarily writing code), and helps teams see what they’re missing, such as risks, gaps, or better ways of working. They challenge assumptions and improve how work is scoped. This is not a role for someone who only runs the process; we want someone who actively improves how the teams work and what they deliver. KEY RESPONSIBILITIES - Set clear expectations for every team member, including full-time and contract engineers, and manage performance against them, including difficult conversations. - Represent the teams in cross-team and leadership forums (EM/PO syncs, leads syncs, partner and vendor calls, RAID log reviews, Go/No-Go meetings). Bring decisions back to the teams and raise our priorities and risks. - Spot blockers early, work with owners across teams and vendors to resolve them, and escalate when needed. - Keep delivery health visible: maintain accurate Jira status and sprint commitments, send timely stakeholder updates, and flag risk early. - Make sure every epic, incident action item, and production-readiness checklist has a named owner and due date, and drive it to closure. Nothing important sits unassigned. - Own engineering quality for both teams: test strategy, contract tests between services, CI quality gates, and production-readiness reviews before go-live. - Ensure team ceremonies happen and are effective for both teams, including standups, backlog refinement, sprint planning, sprint reviews, and retrospectives, whether you facilitate them yourself or partner with Product and engineering leads to do so. - Evolve how the teams work as AI changes software delivery: research emerging practices, run experiments, and bring the teams along. - Lead a blended team of full-time and contract engineers, managing capacity and alignment to Gravie priorities. - Coach and mentor each direct report through regular 1:1s, a development plan for each person, and timely, candid feedback. - Grow the next generation of leaders by developing engineers into leads and future engineering managers. - Manage vendor partners end to end: SOWs, staffing plans, change orders, performance, and knowledge transfer so Gravie isn’t dependent on any one contractor. - Hire and grow full-time engineers as we move key capabilities from contract to in-house teams. - Partner with Product, Data, Security, and Infrastructure to translate ambiguous business problems into clear, deliverable work. - Partner with Security to make sure the teams handle PHI/PII appropriately and that security findings are owned and fixed. - Own the effective adoption of agentic AI practices across both teams: champion the change, set clear expectations for how agents are used, and measure whether it is improving outcomes. Help engineers raise the bar on problem framing, guardrails, acceptance criteria, and risk identification. - Build and contribute to the tooling, workflows, and shared practices that help teams get better results from AI agents. - Use AI in your own leadership work, such as planning, spotting delivery risk, drafting decision documents, preparing for 1:1s, and reporting, applying the same judgment and review you expect of your teams. - Participate in the on-call rotation for critical production incidents and drive follow-up and post-incident improvements. QUALIFICATIONS - Prior experience managing multiple engineering teams at the same time. - Experience leading teams that blend full-time and contract engineers. - A track record of developing people, including at least one example of someone you grew into a lead or manager. - Experience building and operating integrations with third-party vendors and partner APIs. - Experience building systems that handle PHI/PII in a regulated environment (HIPAA or similar). - Strong communication with senior cross-functional stakeholders, in writing and in live meetings. - Strong command of scrum and kanban and the judgment to know when each fits, plus active curiosity about how AI is changing the way engineering teams plan and deliver. Experience maintaining risk and dependency tracking (e.g. RAID logs). - Comfort with on-call responsibilities and managing critical production incidents. - Practical experience with AI coding agents and agentic development workflows, and a track record of driving AI adoption on a team, including building tooling or practices that others adopted. - Concrete examples of using AI to lead more effectively, beyond driving team adoption. - Technical depth to review merge requests, help debug production issues, critically review architecture and designs, and spot gaps in a test suite. This role does not require writing production code day to day. - A creative approach to problem solving, with the judgment to know when to dig in and when to escalate. A LITTLE MORE ABOUT US: - We know healthcare. Our company was founded and is still led by industry veterans who have started and grown several market-leading companies in the space. - We have raised money from top tier investors who share the same long-term vision as we do of building an industry defining company that will endure over the long run. We are well capitalized. - Our clients love us. Customer satisfaction rates among employees using Gravie health plans consistently rank above 80% – nearly 40 points above the industry average. - Our culture is unique. We tend to be non-hierarchical, merit-driven, opinionated but kind people who thrive working in a high-performance, fast-paced environment. People at Gravie care deeply about making a positive impact in the lives of the people we serve. BENEFITS Our unique benefits program is the gravy, i.e., the special sauce that sets our compensation package apart. In addition to standard health and wellness benefits, Gravie’s package includes alternative medicine coverage, flexible PTO, up to 16 weeks paid parental leave, paid holidays, a 401k program, transportation perks, education reimbursement, and 2 days of paid paw-ternity leave. JOB APPLICANTS If you apply for employment with Gravie, personal information collected via our applicant tracking vendor is subject to our standalone California Job Applicant Notice at Collection, accessible directly within the application workflow and separate from this Policy.

Location: United States- Mossville, Illinois Founded in 1985, ATS is a company with a presence in the United States, Mexico and the United Kingdom. We are professionals in Industrial Maintenance and we make factories run better. Fundada en 1985, ATS es una empresa con presencia en los Estados Unidos, México y el Reino Unido. Somos profesionales en mantenimiento industrial y hacemos que las fábricas funcionen mejor. Principal Duties/Responsibilities: · Coordinates and participates in installing unit or system to be tested in test fixtures, connecting valves, pumps, hydraulic, mechanical or electrical controls, cabling, tubing, power source, and indicating instruments. · Participates in installations and hardware changes. · Sets up the tested product to the proper operating conditions, collects corresponding data and tears down equipment. · Confers with engineering personnel to resolve fabrication problems relating to specifications and to review test plans, such as types and cycles of tests, conditions under which tests are to be conducted, and duration of tests. · Examines parts for conformance, using precision measuring instruments; may recommend replacement of defective parts where needed. · Activates controls to apply electrical, hydraulic, pneumatic, or mechanical power and subject test item to successive steps in test cycle. · Monitors controls and instruments and records test data for engineers. · Utilizes a basic understanding of controls and instrumentation. · Under general supervision, provides basic data analysis to ensure quality and uncover trends. · Collaborates with engineers regarding data analysis and conclusions. · Participates in Continuous Improvement activities--processes, results and cost savings. · Receives regular mentoring from higher level technicians; provides basic mentoring to lower level technicians. · Completes technical self-study programs for career development. · Follows all safety related policies, rules, regulations, technical instructions and guidelines; situational awareness and identify unsafe behaviors and conditions. · Complies with 5S and housekeeping standards Knowledge, Skills, Abilities, & Behaviors Required: · Basic mechanical knowledge and/ or basic knowledge of internal combustion engine, diesel/gas engines, test cell operations or data collection systems. · Ability to operate PC or PDP11 controlled equipment. · Proven ability to work successfully with computers, including Microsoft Suite experience. · Ability to successfully communicate and interact with other team members, customers, and management. · High School Graduate or equivalent (GED). · Associates degree with a Technical focus or 18 months of related experience in general industry. Physical Demands and Working Conditions: · While performing the duties of this job, the employee is regularly required to stand; walk; use hands/fingers to handle, or feel; reach with hands and arms; climb, ascend/descend or balance to heights that may require a ladder or lift; stoop, kneel, crouch, or crawl in confined spaces; and talk or hear. The employee is occasionally required to sit. The employee must occasionally lift and/or move more than 50 pounds. The employee is regularly required to use close vision and color vision. The employee is occasionally exposed to outside weather conditions and risk of electrical shock. Work is typically performed in a factory environment and is usually very loud. In the factory environment, the employee may be exposed to hazardous materials and/or greasy or slippery factory floors. ATS believes in fair and equitable pay. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. We also offer market leading benefit programs including Medical, Dental and Vision plans, PTO, a 401k retirement plans with employer matching, tuition reimbursement, and more. Pay Range $24.83 — $31.76 USD ATS is committed to providing equal employment opportunities in all aspects of employment to all applicants and employees without regard to age, color, race, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability, veteran status, genetic information, or other legally protected status. Review the privacy policy here. ATS se compromete a brindar igualdad de oportunidades de empleo en todos los aspectos del empleo a todos los solicitantes y empleados, independientemente de su edad, color, raza, religión, sexo (incluido el embarazo, identidad de género y orientación sexual), origen nacional, discapacidad, estatus de veterano, información genética u otro estatus legalmente protegido. Revisión de la política de privacidad aquí here.

Location: Palo Alto, California, United States; 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 . Role Overview: Every project we run starts with people: software engineers, PhDs, physicians, lawyers, linguists, designers and other experts whose work trains and evaluates our customers' AI models. When a project needs 20 or 500 of them, the request comes to our Talent Matching team. We commit to a hiring timeline, find and assess the talent, and get them working by the date we promised. The Marketplace Operations Lead takes on the hardest of those requests: US-based roles, role types we've never hired for before, and large, urgent hiring pushes where a delay is visible to the customer. When a project is falling behind, you'll be the first person we call. You'll pull in our sourcing, assessment, talent operations and onboarding teams to get it back on track, and you'll stay on it until the talent is working. This is a senior individual-contributor role with a lot of room to grow. You'll work from our San Francisco or Palo Alto office, partner closely with matching teams in other time zones, and help set the standard for how the whole team plans, communicates and escalates. As the matching organization grows, we expect this role to grow with it. Key Responsibilities: Hiring requests and timelines Pick up new hiring requests the same day they come in. Work through the requirements with the project team, flag risks early, and commit to a hiring timeline you can stand behind: how many people by which date, and what you need from the project team to get there. Be the single point of contact for the project team, and know the status of every open position without having to ask anyone. Decide how each kind of candidate should be assessed, and design the screening with the project team so it protects quality without adding days to the process. At-risk hiring and escalations Raise a flag the moment a hiring timeline is at risk, and bring a plan to recover it. Use every option available: adjust requirements with the project team, open new sourcing channels, bring in staffing partners, adjust pay rates within approved limits, and step in on screening, scheduling or candidate calls when something stalls. Be the person project leaders escalate to and trust to fix it, including outside normal hours when a large hiring push needs it. US and specialized talent Own hiring for US-based roles end to end, from sourcing strategy through assessment to start date. Take on new and unusual role types, and turn each one into a playbook the rest of the team can reuse. Metrics, tools and the team Know your numbers cold: time to first hire, hires against the committed timeline, quality after start, and how many positions are at risk and for how long. Report them in a short, standard format leadership can read in a minute. Work hands-on with our product and engineering teams on our matching platform, AI interviewer and assessment tools. Use them every day and send back specific feedback on what's slowing you down. Raise the bar for the team around you through clear process, sharp written updates and coaching in the moment. Basic Qualifications: 5+ years in fast-moving operations roles, such as marketplace or supply operations, strategy and operations, consulting, early-stage startup operations or staffing. A track record of taking something that was off track and getting it delivered on a hard deadline, including the parts that weren't your job. A steep learning curve. You get up to speed on an unfamiliar domain quickly enough to judge what good looks like, whether that's a software engineer, a physician or a linguist. Excellent communication, written and in person. You give senior stakeholders and customers a clear picture in a few lines, especially when the news is bad. You work well with product and engineering. You adopt tools that are still being built, find what's broken, and turn it into specific, useful feedback. Comfort with data. You build your own reports in spreadsheets or SQL, and you manage your work from the numbers. High hustle and high ownership. When a step owned by someone else stalls, you step in and do it. Based in the San Francisco Bay Area and able to work from our San Francisco or Palo Alto office Preferred Qualifications Experience in a two-sided marketplace, or at an AI data, annotation or expert-network company. Experience running a supply or hiring funnel at volume (sourcing, screening, onboarding). Experience leading or mentoring a team. Experience working with distributed teams across the Americas, Europe and India. Hands-on use of AI tools in your own work. How we work One owner per position. The person who owns the position owns the outcome, even when other teams do part of the work. Speed matters. We measure ourselves in days, and we're working toward hours. Flag problems early, with a plan. The only failure we don't accept is a surprise. Low ego. The outcome matters more than who gets the credit. Compensation and logistics $150,000 – $230,000 + equity Onsite in San Francisco or Palo Alto, with occasional travel. Reports to the Head of Platform Operations. #LI-VC1 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 .

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the Company Help us build the world's most reliable, on-demand logistics engine for last-mile delivery! We're bringing on experienced engineers to help us create and maintain a 24x7, no downtime, global infrastructure system that powers the company’s three-sided marketplace of consumers, merchants, and riders. About the Role We are looking for experienced engineers to join the EU Traffic team, based at Deliveroo, part of DoorDash, and help build the next generation of DoorDash’s Traffic platform. We are building a single, shared platform designed to serve DoorDash, Deliveroo, and Wolt, so your work will shape reliability and security for all three marketplaces. Our team owns the infrastructure that carries every request into and through that platform: the edge, where we manage Cloudflare (CDN, DNS, rate limiting, bot mitigation) and the ingress systems for external traffic, and service-to-service (S2S) communication, where we run the service mesh and the authentication that secures calls between thousands of services across multiple regions. You will work on core components of our traffic stack, including our Cloudflare edge configuration (managed as code), and service-to-service authentication and authorization (workload identity, token issuance and validation at the mesh layer). This role sits at the intersection of distributed systems, networking, and security. It includes designing, building, and maintaining systems that must operate reliably and efficiently across some of the most critical and latency-sensitive workloads at DoorDash, from the first byte at the edge to the last hop between services. You will report to the Engineering Manager of the EU-Traffic Team within the Infrastructure organization. This role is hybrid working from London. You’re excited about this opportunity because you will… Design and build large-scale distributed systems that are high RPS and latency sensitive Troubleshoot, debug, and fix issues that affect production and maintain our SLAs Work collaboratively with other platform and product engineers to deliver on feature requests and solve their problems Find ways to improve the team’s productivity and operational capabilities through the use of automation, AI tools, and other avenues Participate in a shared on-call rotation and help lead production investigations and incidents, with support from teammates Mentor and learn from teammates through design reviews, pairing, and incident reviews We’re excited about you because… You have 5+ years of experience as a software engineer in infrastructure, networking, or platform engineering/SRE Experience operating edge technologies at scale, such as CDN, WAF, proxy layers, and DNS Solid understanding of networking fundamentals like TCP/IP, HTTP, HTTP/2, gRPC, Load Balancing Background working on and debugging high-QPS or latency-sensitive systems You’re curious, collaborative, and comfortable making progress in ambiguity You work AI-first: you delegate to and orchestrate coding agents (e.g., Claude Code, Codex, Cursor) across design, implementation, testing, incident response, and releases If you don’t meet every requirement but are excited about this work, we’d still love to hear from you. Bonus points if you… Experience with programming languages like Go, C++, Python or Rust Experience with AWS, especially with networking primitives like LBs, Privatelink, etc. and Kubernetes or other container management tool Experience with service mesh technologies such as Envoy, Istio or Linkerd Familiarity with xDS or control plane architectures Experience building RPC frameworks or client-side networking libraries Experience with Infrastructure as Code tooling like Terraform Experience with Gitops delivery tooling such as ArgoCD, Helm, Atlantis. Track record of sharing prompts, tooling, and practices that make a whole team faster with AI Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Senior Engineer on the Life Sciences team, you'll build biology software that our own scientists and the wider research community can depend on, and you'll be one of the main people representing that work to computational biologists outside Anthropic. The Life Sciences team works to accelerate progress in biology with AI, combining frontier models with hands-on computational and experimental research. We want the tools, pipelines, datasets, and benchmarks we build in genomics and structural biology to be useful beyond our own projects, so we plan to release them to the community. Computational biology has a long tradition of open, shared software, and we want to contribute to it well. Every release should be something a researcher can install, run on their own data, and trust: correct on real inputs, validated against reference data and established methods, documented, versioned, and maintained after launch. You'll own that standard. You'll write a large share of the code yourself, decide when something is ready to ship, and stay with it once people start using it. You'll also be an active member of the biology software community: maintaining public repositories, answering issues, speaking at conferences and workshops, and bringing what you hear from researchers back into what we build next. We use Claude and AI coding agents heavily to build software, and we expect you to do the same across design, implementation, testing, and review. Code written by an agent is held to the same standard as code written by hand: you should understand it, test it, and measure its performance before it ships. We're looking for someone with deep software engineering experience who already works this way. The shape of the role is flexible. You might spend most of your time as an individual contributor, or you might lead a small group of engineers and scientists while continuing to contribute directly. Your focus can be genomics, structural biology, or both. Experience in other areas of computational biology is welcome, and we expect the work to range more widely over time. What matters most is a record of biology software that other people have adopted and relied on. This is a chance to shape how AI is put to work in biological research, on problems that matter for human health and scientific understanding. If building software that scientists trust is the work you want to do, we want to hear from you. Key responsibilities Design, build, and maintain biology software in genomics and structural biology (libraries, command-line tools, pipelines, datasets, and benchmarks) for use by researchers and AI agents, inside Anthropic and externally Own the path from research code to public release, including testing, validation against reference data and established tools, benchmarking, documentation, and packaging, and make the call on when something is ready to ship Maintain what we release: triage issues, review outside contributions, and manage breaking changes Represent the team in the biology community through conferences, workshops, tutorials, and direct work with researchers and maintainers, and turn what you learn about their needs into priorities for the team Partner with the team's computational and experimental scientists to turn research code into well-tested, reusable software Lead the technical direction of the projects you own through design review, code review, and mentoring, and, depending on your interests and the team's needs, lead a small team Build with Claude and AI coding agents as your default way of working, hold agent-written code to the same standard as your own, and set the team's practices for reviewing and validating it Minimum qualifications Have built, released, and maintained biology software that researchers outside your own group use, with evidence of adoption you can point to (for example public repositories, package downloads, citations, or use in other groups' pipelines) Have deep working expertise in genomics or structural biology, including the data types, file formats, standard tools, and common failure modes of at least one of these fields Are proficient in Python and comfortable working with large datasets in Linux and cloud or cluster computing environments Practice rigorous testing and release engineering: unit and integration tests, continuous integration, validation against reference data, packaging, and versioning Use AI coding tools as a central part of how you build software, and can show how you verify the correctness and performance of code you did not write by hand Have led a technical project with multiple contributors, setting direction and reviewing others' work while continuing to write code yourself Can explain technical work clearly to both biologists and engineers, in writing (documentation, tutorials) and in person (talks, workshops) Preferred qualifications Depth in both genomics and structural biology A record as the creator or a core maintainer of a widely used open-source tool in computational biology Experience managing or formally leading a team of engineers or scientists A graduate degree in computational biology, bioinformatics, computer science, or a related field, or equivalent experience Proficiency in a systems language such as Rust, C++, or C, and experience with performance work on large biological datasets Experience building software in other areas of computational biology, such as phylogenetics, proteomics, cheminformatics, or high-throughput screen analysis Experience shipping software built largely with AI coding agents, building agentic systems on large language models, or training machine learning models on biological sequence or structure data The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, England; London, United Kingdom Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the Team The Unified Privacy Platform team’s mission is to earn the trust of every DoorDash user by upholding their right to privacy, consent, and transparency. We are building a common privacy foundation across DoorDash, Wolt, and Deliveroo so Consumers, Dashers, and Merchants can understand how their data is used, control their choices, and exercise their privacy rights through simple, consistent experiences. Our work is organized around three connected pillars: the Privacy Center, a unified user-facing destination for privacy controls and rights; the Unified Privacy Platform, which captures and enforces consent, policy, jurisdictional requirements, and privacy actions; and Privacy Operations and Intelligence, which gives Legal, Support, Privacy, and engineering operators the workflows, diagnostics, audit history, and automation needed to resolve privacy work safely and efficiently. Together, these capabilities turn fragmented, one-off compliance work into reusable platform primitives that can support new products, brands, and emerging regulations. Location: London, UK. This is a hybrid role, with 3 days a week in the office. About the Role DoorDash is looking for an Engineering Manager to lead the Unified Privacy Platform team. You will lead a team of backend and platform engineers responsible for the next generation of privacy and consent infrastructure, including the Privacy Center, the User Consent Platform, privacy-policy decisioning, self-service data-rights experiences, and the operational tooling required to manage privacy cases at global scale. As the Engineering Manager, you will own and execute a multi-year vision for privacy at DoorDash. You will balance legal and regulatory correctness, user trust, security, reliability, and developer velocity while building systems that work consistently across DoorDash, Wolt, and Deliveroo. You will be a strategic partner to Product, Legal, Security, Data Governance, Marketing and Communications, and engineering leadership, establishing clear ownership boundaries and turning complex privacy requirements into scalable, self-service capabilities. What you'll be doing Lead and mentor a high-performing team of backend and platform engineers, fostering a culture of ownership, privacy by design, operational excellence, and thoughtful cross-functional partnership Drive the technical strategy across the Privacy Center, the Unified Privacy Platform, and Privacy Operations and Intelligence Build the cross-brand User Consent Platform, including canonical consent state, policy and configuration management, consent SDKs, audit history, and consistent enforcement across products and jurisdictions Deliver simple, self-service experiences for consent and communication preferences, Right to be Forgotten (RTF), Right to Information (RTI), and Data Subject Access Requests (DSARs) Turn emerging privacy and regulatory requirements into standardized platform capabilities instead of one-off product implementations Lead the migration from fragmented legacy consent systems to a single source of truth across DoorDash, Wolt, and Deliveroo, while managing compatibility and safe deprecation Define clear contracts with data-governance fulfillment systems and downstream product and storage teams so privacy actions are traceable, retryable, auditable, and correctly reflected back to users and operators Provide architectural guidance for distributed systems that manage sensitive user choices, policy evaluation, orchestration, secure data delivery, reporting, and immutable audit trails Partner with recruiting to build a diverse and inclusive team, attracting and retaining exceptional engineering talent What You’ll Need to Thrive A bachelor’s, master’s, or doctoral degree in Computer Science or a related field, or equivalent practical experience 3+ years of experience in people management leading backend or platform teams 8+ years of industry experience Extensive experience as an engineer or engineering leader in a fast-paced, platform-focused development environment Proven experience designing large-scale distributed systems, service application programming interfaces (APIs), policy or rules engines, workflow orchestration, state machines, data-lifecycle systems, or audit architectures Preferred experience with privacy, consent, data governance, or regulatory systems, including concepts such as the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), California Privacy Rights Act (CPRA), data-subject rights, retention, deletion, and legal holds The ability to translate ambiguous legal, policy, and product requirements into clear platform boundaries, reusable abstractions, and executable roadmaps Strong product sense and the ability to partner effectively with Legal, Product, Design, Security, Data, Marketing, Support, and engineering teams across multiple brands and geographies A growth mindset—you are eager to expand your skills, raise the quality bar, and build enduring systems in a rapidly changing environment Why Join Us? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Bengaluru Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey's Enterprise Sales Manager, India will be the founding sales leader in the market, responsible for establishing and scaling Harvey's enterprise go-to-market motion across India. This role will build and coach a team of high-performing Account Executives driving the growth of Harvey's AI solutions within the legal and professional services markets in the country. As the first sales manager on the ground in India, this person will define the local playbook, develop relationships with leading law firms, corporate legal departments, and professional services organizations, and serve as a key member of Harvey's APAC founding team. The ideal candidate is a self-starter who can navigate ambiguity, operate in a fast-paced environment, and build from scratch with limited oversight — combining the mindset of a player-coach with the strategic vision to scale. This is a rare opportunity to shape Harvey's presence in one of the world's largest and fastest-growing legal markets from the ground up. WHAT YOU'LL DO - Establish Harvey's enterprise sales presence in India, building the foundation for a high-performing regional team. - Recruit, mentor, and lead a team of consultative, solution-based Enterprise sales professionals as the market grows. - Own long-term strategy and day-to-day operations of the India sales team, including pipeline development, forecasting, and revenue targets. - Develop and adapt Harvey's sales playbook for the Indian market, documenting learnings that can be applied across APAC. - Work cross-functionally with Product, Marketing, Legal Engineering, and Customer Success to build effective processes and solutions for clients in India. - Cultivate relationships with Indian law firms, in-house legal teams at large enterprises and global capability centers (GCCs), and professional services organizations. WHAT YOU HAVE - 10+ years of tech sales experience and 5+ years of people management experience. - Experience building or scaling Enterprise sales teams in India, APAC, or other emerging markets, ideally within SaaS or legal technology. - Proven track record of selling complex software solutions to enterprise clients using a consultative, value-based selling methodology. - Strong communication skills with the ability to clearly articulate technical concepts to a variety of audiences, including senior legal professionals and law firm partners. - Demonstrated passion for AI and its potential applications in knowledge work, with interest in the legal profession and helping lawyers work more effectively. - Energized by ambiguity, early-stage environments, and building foundational processes from the ground up. - Work eligibility: Must be authorized to work in India. Visa sponsorship is not available for this role. PLEASE FIND THE APPLICANT PRIVACY FOR THIS REGION HERE https://www.harvey.ai/legal/india-applicant-privacy-notice. #LI-SG1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York, remote 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: We’re seeking an experienced Algo Trading / Head of Execution to join our team. You have a proven track record of building and benchmarking execution algorithms. Ideally, you’ve been actively engaged with the crypto markets or have a strong curiosity about them. In this role, you will take the lead in developing greenfield algorithmic trading systems, shaping the core of our next-generation trading infrastructure. You’ll work closely with trading teams, stakeholders, and external partners to deliver critical initiatives that drive our business forward. If you’re a natural problem-solver with a passion for hands-on technical development in a global, fast-paced environment, we want to hear from you. What You’ll Do: Design and lead the development of a low-latency, high-throughput Algo Trading / Smart Order Router system Implement intelligent routing algorithms based on execution quality, liquidity, latency, and cost Collaborate with traders, and product managers to refine routing logic and build new algorithmic capabilities Integrate the SOR with the trading, booking and reporting stack Monitor and optimize system performance under real-world trading conditions Mentor junior developers, enforce code quality standards, and contribute to architectural decisions Provide support for production trading issues and continuously improve system resilience and failover mechanisms What We’re Looking For: 10+ years of experience developing routing strategies for specific markets (e.g., U.S. equities, EU markets, crypto exchanges) Knowledge of tick data analytics and real-time market data processing Familiarity with cloud-based market access or hybrid deployments Experience working in high-frequency or algorithmic trading environments Experience building low-latency systems and working with multicast/unicast market data feeds A solid understanding of the application stack and infrastructure associated with electronic and algorithmic trading Strong technical background, with the ability to understand system architecture and technical workflows Proficiency in FIX protocol and trading system architecture (OMS/EMS, market gateways) Familiarity with concurrency, networking, and memory management Experience with Linux systems and performance profiling tools A proactive, problem-solving mindset and the ability to thrive in a fast-paced, collaborative environment Bonus Points: Deep understanding of electronic trading, order types, and market microstructure (equities, options, FX, Crypto etc.) Experience in the DeFi, or crypto space Exposure to regulatory or compliance-driven environments Familiarity with cloud-based infrastructure (e.g., AWS, GCP) or DevOps processes What We Offer: Competitive base salary and discretionary bonus Company-paid health and protective benefits for employees and their eligible dependents Free virtual coaching and counseling sessions Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives. Base Salary Range $220,000 — $250,000 USD 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: Europe; Canada Workplace: hybrid ABOUT YOU We are looking for a Senior QA Engineer who has tested real on-chain products — the contracts and the transactions, not only the web app in front of them. You will own quality for Xsolla's smart wallet on Xsolla ZK, our Ethereum-compatible ZK rollup: the wallet players use to hold, receive and send tokens and in-game items, signing in with the account they already have. The work runs on both sides of the chain. On the backend, you will confirm that a wallet address pre-computed from a salt is the address that actually gets deployed. On the frontend, you will follow a signed operation from the client's RPC call through the bundler to finality, and prove it landed, failed or reverted the way it should. You will fork the chain to test against real state, deploy and call contracts from the command line, and turn what you learn into automated suites. You will work in a small, senior engineering team alongside an external wallet-infrastructure partner. You can tell a defect in our code from one in a partner SDK or in the chain itself — and you bring the evidence to show which. AI coding tools are part of how you work every day, and you set them up so the rest of the team gets the same leverage. ABOUT US Xsolla is a global commerce company with robust tools and services designed to help developers solve the inherent challenges of the video game industry. From indie to AAA studios, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in a strong belief in the future of video games, Xsolla is resolute in its mission to bring opportunities together and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as a merchant of record and has helped more than 1,500 game developers reach more players and grow their businesses worldwide. With more paths to profit and ways to win, developers have everything they need to enjoy the game. For more information, visit xsolla.com . WHAT YOU WILL WORK ON A consumer smart wallet built on account abstraction, so players can own and use digital items without managing keys or gas themselves. Integrations with an external wallet-infrastructure partner and with Xsolla's existing player products. Taking the wallet from testnet to a production launch on an Ethereum-compatible Layer 2. RESPONSIBILITIES Own the end-to-end test strategy for the wallet: sign-in, wallet creation, asset display, send and receive, and transaction confirmation on Xsolla ZK . Test account-abstraction flows: UserOperation construction and validation, bundler submission, EntryPoint execution, paymaster-sponsored gas, and session-key and signer behaviour. Test signing end to end: personal_sign and EIP-712 typed-data requests through the EIP-1193 provider, and signature validation by the wallet contract (ERC-1271), including before the wallet is deployed. Verify counterfactual deployment: that the address derived with CREATE2 from the factory, salt and init code matches the deployed wallet contract, on a forked or local chain, before it reaches mainnet. Deploy, call and inspect smart contracts from the command line to set up test state and reproduce defects. Use chain-forking and simulation tools to test against real network state without real funds, and trace failed transactions to their root cause. Validate the full transaction lifecycle — broadcast, inclusion, reorgs and finality — and its failure paths: reverts, failed UserOperations, insufficient balance, expired session keys, ownership changing mid-flight, and bundler errors. Reconcile what players see with on-chain state: indexer balances and NFT ownership against contract state, including when the indexer lags or diverges, and the account-to-wallet records behind Xsolla ID. Test transfers and approvals across ERC-20, ERC-721 and ERC-1155, including partial ERC-1155 quantities and safe transfers into contract wallets. Write acceptance tests for a partner's wallet SDK and contracts, and report integration defects with the evidence needed to route them to the right owner. Build and maintain automation: Playwright for wallet UI flows, and scripted on-chain checks in TypeScript that run in CI. Set up and maintain AI tooling in the test repositories (Claude Code, Codex, Cursor: rules, context, harness) so QA and engineers use it effectively. Plan and run testnet-to-mainnet release validation, including contract deployment verification and post-deploy smoke checks. Work with security on signing, key handling and key-export flows, and test for signature replay, typed-data phishing and token approval abuse. Mentor QA engineers who are new to Web3, and raise on-chain testing practice across teams. QUALIFICATIONS Required experience Bachelor's degree in Computer Science, Software Engineering, Information Systems or a related field (or international equivalent). 6+ years in software testing or quality engineering, including 2+ years of hands-on testing on EVM -based products. Web3 libraries and tooling Hands-on work with viem and wagmi (ethers.js also counts): reading contract state, sending transactions, and decoding events and revert errors from test code. Deploying and interacting with smart contracts from the command line with Foundry (forge, cast, anvil) or Hardhat; able to read Solidity well enough to know what a contract is meant to do. Chain forking and simulation with Anvil, Tenderly or similar tools, and tracing a failed transaction from a block explorer or transaction trace down to its revert reason. On-chain fundamentals A working model of Ethereum transactions: nonces, gas, receipts, events and logs, reverts, reorgs and finality — including the gap between a sequencer confirmation and L1 finality on a rollup — and how indexers can lag or diverge from chain state. Token standards: ERC-20, ERC-721 and ERC-1155 mechanics, including approvals and the safe-transfer callbacks a contract wallet must implement to receive NFTs. How wallet signers work: EOAs, embedded wallets and smart accounts; personal_sign (EIP-191) and typed data (EIP-712); the EIP-1193 provider; signature validation for contract accounts (ERC-1271). Practical understanding of account abstraction (ERC-4337): UserOperations, bundlers, the EntryPoint, paymasters, counterfactual deployment and CREATE2 address derivation, and session keys. Wallet security basics: signature replay and cross-chain replay, phishing via typed-data signing, and token approval abuse — and how to design test cases that catch them. Testing and automation Test automation in TypeScript or JavaScript, and UI automation with Playwright or a similar framework. API testing over REST and JSON- RPC , including bundler methods (eth_sendUserOperation, eth_estimateUserOperationGas, eth_getUserOperationReceipt), and basic SQL. Daily hands-on use of AI coding tools (Claude Code, Codex, Cursor) for test design, automation and review — generating test cases from specs, analysing logs and transaction traces — including configuring them for a repository. Ways of working Able to run complex, high-impact testing with minimal supervision and wide latitude for independent judgment. Excellent written and spoken English, and proven collaboration in cross-functional teams across time zones. Preferred Experience on a wallet, decentralized exchange or NFT marketplace. ZK Stack and zk -rollups: native account abstraction and paymaster flows on zkSync-family chains, and how finality, gas and EVM compatibility differ from Ethereum mainnet. Embedded, MPC or white-label wallet SDK integrations. EIP-7702 delegation, and ERC-6492 signature validation for accounts that are not yet deployed. Writing on-chain tests in Foundry, including fuzz and invariant tests; familiarity with OpenZeppelin contracts and the ERC-4337 reference implementation. Consumer-scale or gaming products. Reading Go. Load and performance testing of high-volume transaction flows, for example with k6. BENEFITS We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO , and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play. EQUAL EMPLOYMENT OPPORTUNITY STATEMENT Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. CRIMINAL HISTORY CONSIDERATION For the Senior QA Engineer, Web3 (Smart Wallets), we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with the Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

Location: London, United Kingdom Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the Team DoorDash’s mission is to grow and empower local economies. By building intelligent, last-mile delivery technology for local cities, DoorDash connects people with the local businesses they care about — helping grow businesses and the communities that support those businesses. At DoorDash, there are three audiences that are at the core of every decision we make - our Consumers, Merchants, and Couriers. The Research team has a direct link to uncover the unmet needs and pain points of each of these audiences. We bring their voices into the business in order to help set the strategic vision for all of DoorDash’s current and future products. About the Role We’re looking for a Principal Researcher to be a strategic research leader for EMEA, shaping what DoorDash builds next. You’ll combine deep expertise in qualitative and quantitative methods to find the unmet needs, behavioral shifts, and market openings that point to new products and new growth. You’ll work as a peer to senior product, design, engineering, data science, and business leaders, and your work will directly inform roadmaps, investment decisions, and company-level strategy. This role is built for a seasoned researcher who is equally comfortable in a living room interview, a survey dataset, and a leadership review, and who uses AI as a daily tool to move faster and see further, without giving up the judgment that makes research trustworthy. You’ll also raise the bar for the wider research practice by mentoring researchers, sharing methods, and helping the team define what great looks like in an AI-enabled era. What You’ll Be Doing Shape Product Strategy: Translate deep understanding of Consumers, Merchants, and Couriers into a clear point of view on where DoorDash should play and win. You’ll frame the highest-stakes questions, bring evidence to roadmap and investment debates, and influence decisions at the director and executive level. Detect New Opportunities: Proactively identify emerging needs, behavior changes, and white space that point to new products, new verticals, and new growth levers. You’ll size and validate opportunities with a mix of foundational discovery, market and competitive context, and behavioral data, and turn them into concepts teams can act on. Lead Mixed-Methods Research: Design and run rigorous research end to end, choosing the right method for the question: ethnography, in-depth interviews, diary studies, and usability testing alongside surveys, conjoint and MaxDiff, segmentation, experiment design, and behavioral and log analysis. You’ll triangulate across sources so the “what,” the “how much,” and the “why” tell one coherent story. Partner with Data Science and Experimentation: Work closely with data science and analytics to connect qualitative insight to A/B test design, metrics, and product outcomes, and to explain the “why” behind results. You’ll help teams learn from what worked, what didn’t, and what to test next. Apply AI to the Research Craft: Use AI tools and LLMs in your daily workflow for synthesis, analysis, survey and discussion guide design, and scaling qualitative depth, and design human-in-the-loop checks that catch confident but wrong outputs. You’ll help the team identify where AI accelerates research and where it should not be trusted, and contribute to shared prompts, workflows, and standards. You’ll also study how people experience AI-powered features across DoorDash’s products. Influence and Communicate: Tell compelling, decision-ready stories that move partners from insight to action. You’ll adapt depth and format to the moment, from a fast directional read that unblocks a team this week to a foundational body of work that anchors a multi-year strategy, and you’ll follow through to see that findings change what gets built. Lead Through Others: Serve as a thought partner and mentor to researchers across levels, review and elevate research quality, and help partners run good research on their own where that makes sense. You’ll help set the team’s research agenda, methods, and standards, and contribute to hiring and growing the team. Operate Across Brands and Regions: Bring a global lens to your work, partnering across brands, markets, and cultures and adapting approaches to local context so that insights scale beyond a single market. What We’re Looking For 10+ years of experience in user, market, or product research at a technology company (or equivalent depth), with a track record of leading ambiguous, high-visibility work at staff level or above Demonstrated impact on product strategy: examples where your research changed a roadmap, unlocked a new product or line of business, or redirected significant investment Proven ability to detect and shape new product or growth opportunities, from early signal through validated concept Expert command of both qualitative and quantitative methods, including interviews, ethnography, and usability testing as well as survey design, statistical analysis, and experimentation. Working knowledge of SQL, R, or Python for pulling and analyzing your own data is a plus Hands-on experience using AI and LLMs in research (for example, synthesis, analysis, prototyping, or scaling qualitative work), with sound instincts about where they help and where they mislead. Experience researching AI-powered products is a plus Experience in consumer, two-sided or multi-sided marketplace, logistics, commerce, or local services contexts is a plus Exceptional storytelling and executive presence, with the ability to influence senior stakeholders without authority and build trust across product, design, engineering, data science, and business teams A bias for speed and pragmatism: comfortable delivering directional insight quickly while knowing when a decision calls for deeper rigor Experience mentoring or coaching researchers and raising the quality of a research practice Advanced degree in HCI, Psychology, Sociology, Anthropology, Economics, Statistics, Survey Methodology, or a related field preferred, or equivalent practical experience Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. ​​💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Lisbon, Portugal or London, UK About the Role Cloudflare built its reputation helping build a better Internet, defending millions of sites, giving away SSL and DDoS mitigation when the industry charged premium prices. In an acceleratingly dangerous world, the scope of that mission has changed. We are becoming something more: critical infrastructure. Banks run their payment rails on us. Governments run public services on us. Media companies depend on us during live events. Health systems depend on us to provide care. Reliability for these customers is no longer a feature of our product. It is a mission. Serving that customer base demands a different operating model. Traditional support organizations route tickets. Traditional engineering organizations ship features. Neither alone is enough when the stakes are this high. We are pivoting to something different: a customer-facing engineering organization, directly engaged with our customers at scale. This is work a central dev team cannot do from the inside of the network. The Customer Reliability Engineering function is the spine of that pivot. CRE is SRE applied outward, the same engineering discipline, applied to the reliability of the systems our customers run on Cloudflare. You are the engineer who owns the problems that matter most to the customers who matter most, and you contribute directly to our products and tooling, in partnership with Product Engineering, to hold that standard across the entire customer base. The Role CRE is a rapid response team and a proactive engineering team. You fix things at the edge as they come up, and you help build the product capabilities that identify customer issues before they become a crisis. Both modes are equally core. Rapid response. When a customer issue surfaces that is high-severity, cross-layer and complex, you are the engineer who answers. You reproduce the defect, isolate the root cause across Cloudflare's infrastructure and the customer's stack, drive the fix with Product Engineering, and confirm resolution. You hold on-call for high-severity incidents as part of a global shift rotation. Proactive engineering. When no fire is burning, you work with Product Engineering and our platform teams to build the capabilities that make the next fire cheaper or unnecessary: telemetry pipelines that correlate signals across the customer base, detectors that fire before a human notices, diagnostic tooling that scales across hundreds of customers, automation that reduces toil for Customer Support. Every incident you carry generates engineering output that reduces the cost of recurrence. The work compounds. Cloudflare is building CRE as an AI-native function. You will work with and help build agents and tooling that pre-diagnose incidents, surface relevant logs and configuration, and propose fixes with cited evidence. Engineers who ship AI-assisted diagnostics are the ones defining this discipline. What You Might Work On Rapid response: Own a Sev-1 incident where a large financial services customer sees asymmetric latency from a single POP. Trace it through BGP routing and identify transit provider policy change that is required to resolve. Diagnose a recurring WebSocket disconnect a media customer has been experiencing across multiple release cycles. Isolate it to a specific interaction between a Cloudflare service release and the customer's connection lifecycle. Drive the fix with the owning engineering team. Partner with a government customer's SRE team during an active DDoS event. Help them shape their Magic Transit and WAF configuration in real time. Proactive engineering: Build, with Product Engineering, a distributed tracing capability that correlates Cloudflare edge signals with customer origin metrics so a single query tells the story of a failing request end-to-end. Ship a detector for a class of WAF false positives silently degrading several customers. Get it into production before the next renewal cycle. Prototype an AI agent that takes a new customer case, pulls relevant logs and config, and proposes a root cause with linked evidence. Deploy it internally. Measure whether it makes engineers faster. Iterate. Responsibilities Rapid incident response and root cause analysis. Own the most complex, high-severity customer issues end-to-end, from first signal through confirmed resolution. Lead deep-dive debugging across the full stack: edge, network, DNS, transport, APIs, application, customer-side configuration. Reproduce defects, validate fixes with Engineering, and confirm customer-side resolution. Produce postmortems other engineers rely on. Hold on-call for high-severity incidents as part of a global rotation that includes weekends. Proactive reliability engineering. Analyze support and telemetry signals across the customer base to find systemic risks before they become incidents. Contribute monitoring, detection, and diagnostic capability to the core product and the engineering systems that give Customer Support early visibility into customer-affecting issues. Define customer-facing reliability metrics (error rates, resolution times, repeat-contact rates) and drive measurable improvement. Write automation that reduces mean-time-to-detect and mean-time-to-resolve. Cross-functional partnership. Manage the technical escalation lifecycle with clear ownership and timely communication. Partner with Product Engineering to drive fixes, workarounds, and configuration changes that address underlying gaps. Represent the customer reliability perspective in engineering syncs, incident reviews, and post-mortem processes. Technical leadership and enablement. Raise the technical floor of Customer Support through pair-debugging, structured knowledge transfer, and shared tooling. Document diagnostic procedures and resolution patterns in runbooks, internal knowledge bases, and AI skills. Share insights from customer-facing incidents to improve product documentation and operational readiness. Product and platform depth. Maintain deep, current expertise across Cloudflare's product portfolio: edge networking, DNS, CDN, WAF, DDoS mitigation, Zero Trust, Workers, and our developer platform. Anticipate customer impact from new releases and architecture changes. Serve as a go-to subject-matter expert in one or more domains. Requirements Minimum 5 years of hands-on experience in site reliability engineering, escalation engineering, systems engineering, or a comparable deeply technical support / operations role, with at least 2 years in customer-facing environments. Strong foundation in networking and security: TCP/IP fundamentals: OSI model, IPv4/IPv6 addressing, subnetting, routing, switching. Core protocols: DNS, HTTP/S, TLS/SSL, SMTP, SNMP, NTP. Routing protocols: BGP, OSPF, including path selection and route propagation. Firewall concepts: stateful/stateless inspection, rule sets, NAT, ACLs. VPN and encryption: IPSec, SSL/TLS tunnels, GRE. Zero Trust architecture, network segmentation, modern security models. Proficiency with observability and diagnostic tooling: packet capture and analysis (Wireshark, tcpdump), log aggregation (Kibana, Elasticsearch), metrics dashboards (Grafana), distributed tracing. Strong scripting and automation skills (Bash, Python) with a track record of shipping tooling that improves reliability and reduces toil. Experience with incident management, postmortem culture, and SLO/SLI-based reliability practices. Excellent written and verbal communication. Able to convey complex technical information clearly to engineers, leadership, and customers. Comfort owning ambiguous, cross-layer problems. Composure under pressure during high-severity incidents. Desired Skills & Experience SRE, DevOps, or platform engineering experience with direct customer-facing accountability. Deep expertise at both L3/L4 (network infrastructure) and L7 (application protocols, DNS, HTTP, WebSocket). Expert-level proficiency with Linux command-line tools: curl, dig, git, traceroute, mtr, strace, ss. Data-at-scale analysis using SQL, PromQL, or equivalent. Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform, Pulumi), and container orchestration (Kubernetes, Docker). Track record of building internal tooling or diagnostic utilities that measurably improved team efficiency. Demonstrated technical leadership: mentoring engineers, driving cross-team initiatives, influencing outcomes without direct authority. Experience applying AI/ML to production engineering or operational workflows. Comfort engaging directly with enterprise customer engineering teams, including on calls during incidents. Bonus Points Active Cloudflare user who understands the platform as a practitioner. Hands-on experience with Workers, Pages, R2, D1, or other developer platform services. Cloud networking and security experience across AWS, Azure, or GCP. Web programming (HTML, JavaScript) and regular expressions. Chaos engineering or formal reliability frameworks (e.g., Google SRE principles). Managing or configuring non-HTTP services: email, DNS authoritative/recursive, FTP, SSH. Compensation ● For Portugal based hires: Estimated annual salary is between € 61,000 - 84,000 The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements. Equity This role is eligible to participate in Cloudflare’s equity plan. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: London Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU’LL DO - Design, build, and deliver enablement programs that drive productivity across our fast-growing European sales and sales engineering teams, including supporting new hire onboarding cohorts as they ramp in seat, in region. - Use AI tools to create content faster, run AI-driven role-play and call coaching, and give sellers self-serve answers to their questions. - Own training on the tools EMEA sellers and SEs use daily for account research, call prep, call recaps, pipeline updates, and drafting outreach and proposals. - Teach sellers when to trust AI output, how to verify it, and how to handle customer data under EU privacy and regulatory requirements (GDPR, EU AI Act), so every seller can explain, demo, and stand behind how Sierra uses AI with customers. - Create playbooks and programs, track adoption and impact (tool usage, time saved, ramp speed, deal velocity), and report results to EMEA and global sales leadership. Turn the best field practices into shared prompts, playbooks, and workflows for the global enablement team. - Localize and launch global sales plays in EMEA (flagging any that don’t translate), collect field feedback for the global Programs Lead, and support regional launches with Sales Leadership and Marketing. WHAT YOU’LL BRING - 5+ years in sales enablement at a B2B software company, with exposure to both onboarding and plays - Experience adapting centrally built programs for a regional audience - Evidence of leadership: prior people management, or leading projects and mentoring others, and a genuine interest in leading a team - Credibility with senior sales leaders and experienced sellers and SEs, and a strong facilitator - Hands-on, daily use of AI tools in your own work, and experience teaching others to adopt new tools and change how they work - Comfortable working independently with a team several hours behind you EVEN BETTER… - Experience in AI or enterprise software - Additional European languages - Experience as the first enablement hire in a region - Experience hiring or building a team - Experience running an AI fluency or AI tooling program for a sales team - Familiarity with the EU AI Act or GDPR as they apply to how sales teams use AI OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Los Angeles, USA As a Senior Manager, ML Engineering , you will lead the Machine Learning Engineering team responsible for building and operating machine learning systems that power League of Legends. This team delivers both player-facing ML experiences and developer-facing ML tools, enabling in-game and around-game capabilities such as recommendations, player behavior modeling, matchmaking, and experimentation-driven personalization. In this role, you will be accountable for the technical vision, execution, and business impact of ML applications in League of Legends. You will shape the end-to-end ML engineering strategy, from data and feature pipelines to model development, deployment, evaluation, and operations, ensuring systems are scalable, reliable, and measurable in production. You will partner with development themes’ product and production leaders to enable the development of League of Legends existing and future player experiences. You will report to the Data Engineering Director of League Insights. This role is based out of our Los Angeles Headquarters. Responsibilities: Manage a team of highly skilled engineers, driving performance, developing future leaders, identifying growth opportunities, and ensuring strong delivery and outcomes. Define, own, and socialize an engineering vision for the organization, working with cross-functional and engineering leaders to create a long-term organizational and staffing plan aligned with technical and product goals. Contribute to all parts of team leadership, including budgeting, recruiting, hiring, mentoring, performance management, and managing contingent staff. Set direction for MLOps & modeling efforts across the ML product lifecycle, continuously improving model quality, efficiency, reliability, and operational excellence. Collaborate closely with cross-functional partners across LoL PC, including product management and technical production, to deliver scalable, reliable, and high-impact ML-powered solutions. Foster effective communication and collaboration within engineering teams, central MLE groups, and across other LoL PC departments. Build stronger cross-Riot MLE craft support and contribute towards ongoing improvements to craft standards. Stay current with industry trends and emerging technologies in applied ML and MLOps, guiding pragmatic adoption of best practices that improve product quality and player impact. Continue to hone your individual skills so you can deliver projects in a Player-Coach dynamic. Required Qualifications: Bachelor’s degree in Computer Science or a related field, or equivalent experience. 10+ years of experience building and operating large-scale software systems, with significant experience in production ML systems. Strong expertise in computer science fundamentals, including system design, data structures, and algorithms. Experience with Java, C++, Python, or similar languages in large-scale, production environments. Deep knowledge of MLOps & modeling best practices, including model lifecycle management, experimentation, monitoring, and deployment at scale. Experience collaborating across multiple teams, departments, and disciplines to create solutions. Experience with project planning, prioritization frameworks, and guiding investment strategies across people, platforms, and systems. Desired Qualifications: Master’s degree in Computer Science or a related field, or equivalent experience. Familiarity with Responsible AI frameworks, fairness considerations, and long-term player impact measurement. Experience with large-scale experimentation platforms and online evaluation frameworks. Experience leading full-stack teams. Experience leading distributed or remote teams. For this role, you will find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The opportunity Build the machine learning capabilities that help advertisers understand what they could achieve on Reddit and make better investment decisions. You will lead models that estimate how campaign outcomes could change with different budgets, bids, audiences, creative performance, or objectives. The work connects supply and demand forecasting, audience availability, response prediction, and marketplace simulation to help advertisers compare alternatives and recognize valuable opportunities they may be missing. This is a hands-on technical leadership role with ownership of modeling direction, evaluation standards, and reusable production capabilities across advertiser planning and recommendations. What you’ll do Lead forecasting and scenario modeling. Translate advertiser questions into models of delivery, reach, performance, and investment tradeoffs. Set technical direction and guide execution across the team. Connect inventory, demand, and response. Combine forecasts of available advertising opportunities, audience activity, marketplace competition, and predicted response to estimate achievable delivery and performance. Estimate outcomes under alternative choices. Develop models that account for changes in budget, bid, audience, and optimization objective, including interactions among these choices, auction dynamics, and campaign constraints. Quantify unrealized opportunity. Incorporate creative-performance estimates from partner teams to assess how stronger creative could have improved campaign results. Translate those inputs into potential gains in delivery, efficiency, or advertiser value. Build models that generalize. Apply probabilistic forecasting, multitask learning, transfer learning, hierarchical modeling, or related approaches to handle sparse segments, cold start, delayed feedback, and changing conditions. Establish trustworthy comparisons. Evaluate numerical accuracy, calibration, uncertainty, and cohort-level performance. Define supported scenarios and identify when additional evidence or experimentation is needed. Close the learning loop. Compare recorded predictions with mature outcomes, diagnose systematic errors, and validate scenario estimates through experiments and observed results. Own production delivery and technical leadership. Partner with engineers on reliable training, serving, monitoring, and iteration. Lead designs, mentor engineers, and collaborate with Product, Data Science, Ads Delivery, Audience, and Creative teams. What we’re looking for A track record of developing and shipping predictive ML systems in advertising, marketplaces, recommendations, search, demand forecasting, or similarly complex domains. Strong foundations in statistical learning, probability, and optimization, with experience modeling large-scale behavioral or transactional data. Depth in one or more relevant areas: probabilistic or hierarchical forecasting, calibrated conversion/value prediction, multitask or transfer learning, delayed-feedback or survival modeling, or response modeling . Strong judgment in evaluation, including temporal validation, calibration, segment-level performance, and the assumptions required to estimate outcomes under changed conditions. Experience addressing sparse observations, cold start, seasonality, distribution shift, selection bias, or partially observed labels. Strong programming and software engineering skills, including experience building and operating production ML systems. Demonstrated ability to lead ambiguous technical initiatives, make practical tradeoffs, and develop other engineers. Preferred experience Complementary depth in one or more of: Demand, supply, and inventory forecasting: Advertising inventory, marketplace demand, traffic, retail demand, or capacity forecasting. Relevant methods include probabilistic time-series models, hierarchical/global forecasting, external-signal modeling, and multi-horizon prediction. Auction and investment modeling: Auction simulation or replay, conditional win-rate and price models, bid/budget response curves, or constrained optimization. Scenario evaluation: Counterfactual or off-policy evaluation, sensitivity analysis, uncertainty propagation, or composition of multiple predictive models. Reach and audience estimation: Population and overlap estimation, probabilistic reach/frequency models, sampling correction, or saturation modeling. Advanced predictive methods: Mixture-of-experts, distributional or quantile prediction, temporal sequence models, or state-space models. What success looks like Accurate and calibrated forecasts across priority advertiser populations; credible comparisons of supported campaign alternatives; reusable capabilities across planning and recommendations; and evidence that advertisers identify valuable opportunities and make better investment decisions. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-AK1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Mapbox UK Workplace: Remote Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  WHAT WE DO The Navigation team https://www.mapbox.com/navigation at Mapbox develops and operates web services powering virtually all of Mapbox’s strategic navigation initiatives in consumer, automotive, and logistics verticals. We are a highly multidisciplinary organization, with work spanning distributed systems on AWS to geospatial localization, traffic telemetry, and mapping. Collectively we are revolutionizing in-car experiences with technology to build fast, industry-leading maps and navigation for any vehicle. We’ve launched products such as MapGPT https://www.mapbox.com/mapgpt, Mapbox for EV https://www.mapbox.com/ev, and we’re enhancing the visual experience of in-vehicle navigation with 3D styling with our new Mapbox Standard through web and mobile SDKs. Mapbox has worked with automotive partners https://www.mapbox.com/automotive— including BMW, Toyota, and GM — to bring the best aspects of mobile app development into in-vehicle navigation and infotainment. - Mapbox Blog: Introducing 3D Live Navigation https://www.mapbox.com/blog/mapbox-3d-navigation - Mapbox Blog: Route Notifications Improve Driver Safety https://www.mapbox.com/blog/route-notifications-improve-driver-safety - Mapbox Newsroom: AI Features in New Navigation SDK https://www.mapbox.com/press-releases/mapbox-unveils-ai-features-in-new-navigation-sdk As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU’LL DO As a Machine Learning Engineer III on the Routing Cost team, you will lead the design, development, and delivery of highly trafficked recommendation systems for our routing cost engine. Your technical contributions will include: - Lead the engineering team(s) to execute end-to-end feature implementation within the larger navigation organization (~80 engineers). - Design and build new ML and data pipelines, as well as optimizing existing ML and data pipelines. - Build tools for automated quality assurance and data exploration. - Leverage geospatial algorithms to optimize pipelines, as well as creating automated tuning and outlier detection algorithms. - Partner with data scientists to make improvements to our models for determining patterns in movement and/or traffic. - Mentor colleagues and participate in code and design reviews. - Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - 8-10+ years of backend and ML experience: Extensive hands-on experience showcasing expertise and a strong track record in the engineering field. - Technical knowledge: Extensive experience with Python, distributed processing pipelines (Hadoop, Spark, Airflow, Dask), and very large datasets – statistical analysis, data quality control, optimizing storage. - Cloud proficiency: Extensive experience with cloud and infrastructure services, including, as well as deploying and managing infrastructure in cloud environments. - Operational excellence: You drive a culture of quality and continuous improvement in your organization. Strong passion for clean code and robust architecture, with a drive to elevate engineering practices and design standards across the team. - Ownership & execution: Own the technical vision, lead the strategy and guide the team to execute towards building the future of our routing cost engine. - Customer focus: You care deeply about your customers and their problems, and you work tirelessly to innovate on their behalf. - Growth mindset: Have the humility to accept mistakes, learn and grow from them. - Mentorship: Experience mentoring and leading engineering teams developing skill sets and career growth. - Strong written and vocal communication skills: You can talk and write about complex ideas concisely to a wide audience. You are able to lead and resolve org-wide technical discussions and are able to collaborate and include input from cross-functional teams (security, devops, data, compliance and product). - Data informed mindset: You believe in the value of data informed decision making and strive to measure things that are not straight forward but essential. You also have the right instincts to make speedy decisions in the absence of perfect & comprehensive data WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here.  Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.  We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.