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Are you excited about the opportunity to join a diverse team working together to influence the direction of an innovative new cloud database? Does contributing to product engineering and business strategy for a new distributed database service match your career goals? If so, the role of Senior Product Manager in the Aurora Distributed SQL organization may be your dream job. Key job responsibilities Your primary responsibility as a Senior Product Manager - Technical (PMT) is to help accelerate the product engineering and business growth of Amazon Aurora DSQL. A Senior PMT achieves this growth by shaping and leading product strategy - turning insights and customer feedback into plans that accelerate delivery and delight customers. This includes taking ownership of roadmap prioritization, and contributing to feature development by acting as the voice of the customer throughout the software development lifecycle. You will collaborate directly with software engineering teams, and interact with senior business partners across marketing, finance, and sales organizations. A day in the life A successful candidate will demonstrate proven product management skills with experience delivering features for large scale enterprise information systems. The candidate will be comfortable managing competing priorities and be able to bring clarity and order to ambiguous scenarios. The candidate will demonstrate subject matter expertise in database technology and is familiar with related storage and server hardware. Exemplary written and verbal communication skills are important, as the candidate will frequently work with leadership and colleagues that cross organizational boundaries. BASIC QUALIFICATIONS - 5+ years of technical product management with internet business experience - 3+ years of technical (software development, network development, IT, other related) experience - Experience in taking a product from conception & definition phase through engineering design and taking it to market - Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market) - 3+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience, or degree in advanced technology PREFERRED QUALIFICATIONS - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience working within teams delivering software products and features using agile methodologies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 152 900.00 USD annually

We're rebuilding the AWS product catalog for an AI-native world, and this role owns both how it's defined and how it grows. You'll set the standards every AWS product follows and define the new features, packages, and add-ons that service teams bring to customers, building the machine-readable foundation that billing, cost management, and AI agents all depend on. The AWS Billing organization serves over 200 AWS services across 30+ regions, and every one needs a product definition that is structurally correct, consistently described, and rich enough for both humans and AI to reason about. This is the foundation for commercial decisions made by external customers and internal teams. As Senior Product Manager - Technical External Services, you'll own the AWS product model end to end: the schema, governance rules, and quality standards every product conforms to, and the new product structures service teams build on top of them. You'll define what attributes a product carries from creation, how to create standard models for different types of services (from compute and storage to AI inference and developer tools), how products relate to and compose with one another in packages and shared commercial experiences, and how the catalog enables AI agents to discover, compare, and act on products programmatically. You'll also extend the catalog with new product features, packages, and add-ons that service teams can adopt through configuration rather than custom engineering. Your work directly determines how AWS services launch and grow their products. In this role, you'll architect the data model that underlies AWS commerce, define the governance framework that enforces it across hundreds of service teams, and establish the lifecycle and relationship standards that let products evolve and work consistently across commercial channels. You'll conduct direct research with service teams and internal consumers of product data to understand where definitions break down, translating those insights into schema improvements and governance rules. You'll work at the intersection of data architecture, billing infrastructure, and AI-native product design, defining how AWS products present themselves to the next generation of consumers. You'll collaborate with engineering teams across AWS's billing, metering, and cost management organizations. This role requires deep technical fluency in data modeling, schema design, and systems thinking, combined with the product instinct to know which standards matter and which create bureaucracy. If you're excited about defining the foundational data layer that makes AWS's commerce systems work this role offers the chance to shape how every AWS product is defined, described, and used across AWS commerce. Key job responsibilities - Define product framework: schema, required attributes, quality rules, and lifecycle governance for every AWS product - Define standard product models and product-relationship patterns for different service categories - Extend the catalog with new product features, packages, and add-ons that service teams can adopt through configuration - Architect agent-readable product metadata standards for AI consumption across internal and external experiences - Drive adoption of product standards across new offerings and established catalog systems - Conduct direct research with service teams and product data consumers to identify where definitions break down and drive improvements - Partner with engineering teams across AWS's billing, metering, and cost management organizations BASIC QUALIFICATIONS - 3+ years of working as a Technical Product Manager experience - Experience working with customers, technical teams, and management to collect requirements, describe software product features, and technical designs - Experience in taking a product from conception & definition phase through engineering design and taking it to market - Bachelor's degree in computer science, engineering, math, finance, or economics PREFERRED QUALIFICATIONS - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience working within teams delivering software products and features using agile methodologies - 3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience - Experience developing, deploying and managing AI products at scale - Experience with billing, commerce, or catalog systems - Experience building or designing agentic products and interfaces Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NY, New York - 167 500.00 USD annually

Are you excited about the intersection of security, encryption and literally every internet connected device in the world? We're looking for a technical Product Manager to help define the next evolution of public-key infrastructure (PKI), helping our customers easily secure their websites, APIs and devices with digital certificates that just work. Our organization owns everything "certificates" for Amazon - from AWS Certificate Manager (ACM) for certificate management (TLS and other X.509 certs), to AWS Private Certificate Authority (PCA) for private certificate issuance and AWS Signer for code signing. Our services help customers create, manage, and deploy digital certificates based on strong cryptography and public key infrastructure (PKI) best practices. We are at a pivotal moment for the certificates space - Post Quantum requirements are around the corner, certificate usage has expanded to secure everything from IoT devices to AI agent workloads, and content signing is in huge demand to protect original work. The ACM team is looking for a strong technical Principal Product Manager with an interest in information security and identity can help define and drive the vision for our space as we continue to innovate and grow. As a Principal Product Manager for the Certificates organization you will: - Understand our customers inside and out - Invent on behalf of customers - Develop product strategy and vision and translate it into creative, high quality, simple features - Make the business decisions that grow the adoption and usage of our services and accelerate the growth of our overall security business - Set prices, target the right customers, and focus our investments in the right areas - Work closely with the engineering teams to design, schedule and deliver in an agile environment to deliver products to market - Launch new features and make sure our sales, marketing, and PR teams are telling the most compelling story The successful candidate will be a tenacious, ambitious, self-starter with a passion for secure cloud computing and who can serve as a strong advocate for our developer, corporate, and consumer customers. You will have proven analytical capabilities, strong persuasive writing skills, Internet business experience, and the tenacity to develop ideas independently and thrive in a fast-paced start-up environment. You must have a deep understanding of customer needs, the competitive landscape, be able to translate customer needs into features and pricing models, and to deliver an unparalleled customer experience. BASIC QUALIFICATIONS - 7+ years of working as a Technical Product Manager experience - 5+ years of technical (software development, network development, IT, other related) experience - Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market) PREFERRED QUALIFICATIONS - Do you have 2+ years of experience with public-key infrastructure (PKI) technologies? Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 181 000.00 USD annually

In this role, you will own one or more production services and get in on the ground floor of new projects bringing Generative AI to developers worldwide. You will be responsible for revenue, adoption, and the end-to-end product lifecycle of your services. Using your passion for technology and solving customer problems, you will define product strategy, drive execution, and ship offerings that customers love. We are particularly interested in candidates with depth in one or more of the following areas: AI security and safety, responsible AI, or open-source foundation models. As a Senior Technical Product Manager (External Services), you will be the subject matter expert for your area of focus within AWS Compute GenAI services. You will work closely with applied scientists, engineering teams, and go-to-market partners to translate complex technical capabilities into products that are simple for customers to adopt. You will define the roadmap, write the narratives, make the tradeoff calls, and own the results. You will also be part of the broader product leadership community at AWS, contributing to business planning, long-term technical strategy, resource prioritization, and hiring. This community works directly with senior management to set direction and ensure we deliver at the pace our customers expect. A successful candidate will bring: - Proven experience launching technical products and building business around them - Strong business acumen with the ability to own a P&L and drive revenue outcomes - Deep curiosity about generative AI, foundation models, and the developer ecosystem - Comfort operating in ambiguity within a fast-moving organization - The ability to earn trust across engineering, science, and business teams - Desire to have industry-wide impact on how AI is built, deployed, and governed Key job responsibilities Lead Product Definition - Own and drive the customer working backwards strategy, tenets, long-term goals and working backwards documents (press release, FAQ) including customer and market feedback, competitive analysis and business metrics to inform direction. Define Product Vision - Including all aspects to future roadmap, investment, innovation and experimentation. Execution of Product Planning and Development - Including customer goals and business requirements for product release, ensuring implementation is aligned with product goals and requirements, and ownership of product positioning. Lead Product Launch - Own the GTM plan to deliver results that ensure the customer and business goals are met in operational launch plans. Lead Operations - Including monitoring and response to customer feedback, continuous improvement and business growth Lead interaction with Technical Team - Including helping the technical team make tradeoffs based on customer requirements, QA/testing of the product. Business reporting - Track revenue and adoption on a daily basis. Own writing business reports on a weekly and monthly basis and review with leadership. BASIC QUALIFICATIONS - 5+ years of technical product management with internet business experience - 5+ years of working as a Technical Product Manager experience - 3+ years of technical (software development, network development, IT, other related) experience - 7+ years of full product life cycle experience - 5+ years of P&L management and pricing experience - 5+ years of creating written docs for development of new products experience - 5+ years of enterprise security product experience - 5+ years of product management in the cloud computing technology space experience - Bachelor's degree in computer science, engineering, math, finance, or economics - Experience in taking a product from conception & definition phase through engineering design and taking it to market - Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market) PREFERRED QUALIFICATIONS - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience working within teams delivering software products and features using agile methodologies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 152 900.00 USD annually

Req ID: 372365 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a IT Program Manager to join our team in Arlington, Virginia (US-VA), United States (US). Job Summary: The Technical Director directs and manages technical activities related to implementation, transition, upgrades, testing, break fix, operations and maintenance. The Technical Director serves as an operational agency Point of Contact and contact for government-owned, external vendor solution elements for interoperability activities, communications, and escalations. The Technical Director performs technical engineering requirements associated with procurement, sustainment, modification, and performance of specific systems or sub-systems; provides technical guidance, data analysis, reports, assist in the coordination of all technical activities to include system analysis and facilities with Government oversight for inherently Government activities that require a decision or that might obligate the Government. The Technical Director ensures any performance degradations not specifically and directly delivered services under this call order can be supported in the operational model with the greatest efficiency and least government staff activity. The Technical Director ensures technology alignment to the strategy, roadmap, and technical architecture decisions of the government. The Technical Director has strong leadership, communication and project management skills, in-depth technical knowledge and the ability to adapt to evolving technologies. Job Duties: Supports development of long-term IT strategies, technical roadmaps, and policies aligned with agency missions. Oversees network services, server administration, cybersecurity, and cloud platforms. Ensures compliance with federal or local regulations (e.g., FISMA, FERPA, HIPAA) and implements robust security controls. Directs the modernization of legacy applications and manages the development of new, complex software solutions. Acts as a primary liaison between the IT department and other agency departments and stakeholders. Basic Qualifications: Master's degree in IT, Computer Science, Information Systems, Management, or a related field. One-and-one- half (1.5) years of additional experience can substitute for one (1) year of a typical degree program. Minimum 10 years of experience in IT management to include systems development, network administration, or technical operations. Project Management Certification (example: PMI PMP Certification). Ability to obtain/maintain a Public Trust clearance Work onsite Monday thru Thursday and Telework on Fridays Preferred Qualifications: Strong communication skills (verbal and written) with demonstrated and proven ability to manage staff, communicate with non-technical staff and officials, and drive organizational change. Familiarity with modern cloud infrastructure, particularly AWS Understanding of government IT standards, requirements, best practices, etc. Ability to manage multiple requests and deadlines concurrently in a fast paced environment. NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this role is $127,792 - $212,988. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. If the position offered in temporary, the position will not be eligible for incentive compensation. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Description JOIN THE ECS4Kids TEAM ECS4Kids (formerly Episcopal Children's Services) is a 2026 Top Workplace that honors young children's immense potential by helping them enter school ready to learn. We cultivate lifelong learners by immersing children in enriching guided experiences and discovery-oriented approaches. Through programs like Voluntary Prekindergarten (VPK), Head Start, School Readiness, Child Care Resource & Referral (CCRR), and more, our dedicated professionals work with families and caregivers throughout Florida to promote children's well-being. These enable us to strengthen key areas including motor development, cognitive development, social and emotional development, language and communication skills, and problem-solving skills. Partner with us to help empower communities to rise above generational poverty with comprehensive early childhood education and holistic family support. We have career opportunities available in several counties throughout Northeast and Central Florida. ECS4Kids offers a competitive benefit package which includes: Medical, dental and vision insurance 403(b) plan with 5% employer match Employee Assistance Program (EAP) Long-term & short-term disability insurance Employer-paid life insurance Paid holidays Generous paid time off Career development Qualifying employer for Public Service Loan Forgiveness Program Salary commensurate with experience. GENERAL DESCRIPTION: The Vice President of Technology & Security serves as a strategic technology partner to executive leadership, translating agency goals into a multi-year technology and security roadmap. The Vice President provides strategic leadership and oversight of all IT and information security functions for Episcopal Children's Services (ECS4Kids), ensuring the reliability, security, compliance, and effectiveness of the agency's technology infrastructure, cloud platforms, telecommunications, and information assets across a 24-county service territory in Florida and Georgia. Serving as the agency's Information Systems Security Oficer (ISSO), the Vice President owns cybersecurity, data governance, business continuity/disaster recovery, vendor management, technology planning, and regulatory compliance, and protects sensitive child, family, employee, and agency information. The role develops technology policies, procedures, and security controls that align with organizational strategy, compliance requirements, and risk tolerance. The Vice President advises executive leadership and the Board of Directors on technology strategy, cybersecurity risk, and emerging technologies, and builds the technical and leadership capacity of a lean IT team supporting more than 1,000 end users across the agency's geographic footprint. In a department of this size, the Vice President is expected to operate as a player-coach - moving fluidly between strategic leadership and direct technical engagement as operational demands require. Major Responsibilities Partner with leadership to anticipate technology needs, develop a multi-year technology roadmap, and identify opportunities to improve business processes, service delivery, and efficiency through technology. Partner with Fiscal, Grants, and Program leadership to align technology investment with agency growth, funder priorities, and grant competitiveness. Serve as liaison between users, departments, vendors, and technical support providers, and report on technology performance, risk, and compliance to executive leadership and the Board. SaaS & Cloud Platform Management Oversee administration, configuration, security, and integration of the agency's SaaS ecosystem, including Microsoft 365, NetSuite (ERP), Paylocity (HCM), and other critical cloud platforms used across all program operations. Lead evaluation, selection, procurement, contract negotiation, and lifecycle management of SaaS and technology vendors, ensuring vendors meet security, compliance, and performance obligations. Maintain system access controls, identity management, and MFA enforcement across all cloud platforms; ensure proper ofboarding and access revocation protocols. Oversee implementation, upgrades, and vendor support of software, enterprise platforms, and network infrastructure, coordinating with the IT Manager and Specialists across the territory. Manage IT infrastructure - networks, cloud platforms, servers, telecommunications, and end-user devices - and oversee implementation, upgrades, and vendor support of software and enterprise platforms. Telecommunications & End User Support Manage IT asset lifecycle - end-user devices, mobile devices, peripherals - including procurement, deployment, tracking, and disposal, maintaining property custodian responsibilities. Oversee end user support operations, establishing service standards, escalation protocols, and performance metrics for the IT team's helpdesk and field support functions. Ensure the continuous availability of telecommunications infrastructure - internet connectivity, VoIP, and network services - across all 24 counties of the agency's service territory, minimizing downtime for more than 1,000 end users. Serve as ECS's Information Systems Security Oficer (ISSO), leading a comprehensive cybersecurity program: risk assessments, vulnerability and threat management, identity/access controls, MFA, endpoint protection, security monitoring, and awareness training (including for Microsoft 365, NetSuite, Paylocity, and other cloud systems). Lead incident response for cybersecurity events and data breaches, including investigation, containment, recovery, and required notiications. Provide direct technical support and hands-on problem-solving when escalated issues exceed team capacity or require executive-level intervention - including troubleshooting critical system outages, network failures, SaaS misconfigurations, or security incidents alongside IT staff. Serve as subject matter expert for third-party compliance documentation: dissect SOC 1 (Type II) and SOC 2 (Type II) reports from critical SaaS vendors, identify control deficiencies, evaluate system bridge letters, define required Complementary User Entity Controls (CUECs), and perform material weakness assessments to maintain internal compliance. Track and secure technology assets, mobile devices, and remote/cloud systems; maintain confidentiality of sensitive information encountered in the role. Establish agency-wide data governance (classification, privacy, retention, disposal, quality) and ensure database security and access controls. Ensure compliance with applicable state, federal, contractual, and funder technology and privacy requirements, including Head Start and Florida Early Learning standards; coordinate related audits, assessments, and cyber insurance requirements. Maintain documented IT policies, procedures, system/security documentation, and disaster recovery, incident response, and business continuity plans, including periodic testing and succession planning within IT. Direct technology procurement, vendor selection, contract negotiation, and lifecycle management, ensuring vendors meet security and compliance obligations. Develop and administer the annual IT operating and capital budget, including cost-beneit analysis and hardware planning; fulfill property custodian responsibilities. Supervise, coach, and develop IT staff, fostering a collaborative, customer-service-oriented, and continuously improving department. Evaluate emerging technologies (e.g., AI, automation) and establish governance and acceptable-use standards for their adoption. Serve in contract administrator/manager/supervisor and emergency duty roles as assigned; perform other related duties as assigned. These essential job functions are not a complete statement of duties. Employees may be required to perform other related duties as assigned. Requirements Education and Experience Bachelor's degree in Information Technology, Computer Science, Information Systems, Cybersecurity, Business Technology, or a related field. Seven (7) to ten (10) years of progressively responsible IT experience, including leadership over cybersecurity, SaaS/cloud platforms, telecommunications, end user support, vendor management, compliance, and strategic technology planning. Demonstrated experience reading and interpreting SOC 1 (Type II) and SOC 2 (Type II) audit reports, evaluating bridge letters, defining CUECs, and conducting material weakness assessments in a compliance context. Experience leading information security initiatives, technology projects, and business continuity/transformation efforts preferred. Experience in nonprofit, education, healthcare, human services, government, or similarly regulated environments preferred. (A comparable amount of training, education, or experience can be substituted for minimum qualifications.) Skills, Knowledge and Abilities Ability to provide strategic, forward-looking IT leadership, identifying risks and recommending proactive improvements. Demonstrated ability to operate effectively at both the strategic and operational level - equally comfortable presenting cybersecurity risk to the Board and troubleshooting a network outage or SaaS misconfiguration alongside IT staff. Ability to deine problems, interpret technical and diagrammatic instructions, and draw valid conclusions from data click apply for full job details

Reporting into the Chief Financial Officer, the Strategy, Operations & Research team is a nimble group that partners with senior leaders across Match Group and our portfolio businesses on their most important strategic priorities. The team shapes the company's long-term direction by bringing analytical rigor, strategic foresight, and clear operational guidance. We bridge high-level vision and day-to-day execution, ensuring the organization is aligned and moving effectively toward shared goals. As Strategic Analytics & Reporting Manager, you'll be the connective tissue between data and decision-making for the portfolio - pulling together information across brands and functions (product, marketing, finance, research) into one credible view of how the business is performing. Rather than going deep in a single data domain, you'll range across all of them: today it might be a cross-brand user-overlap analysis, tomorrow a competitive intelligence readout for the Board, and next week a same-day pull to answer the CFO's question. You should be as comfortable writing a SQL query as you are presenting the "so what" to an executive. Day-to-day work will include a mix of recurring reporting, ad-hoc analyses, and longer-term projects. This role will work across functions (research, product, finance, marketing, etc.) and across Business Units (Tinder, Hinge, E&E). You will report to the Senior Director, Strategy & Operations and work closely with peers across Strategy, Operations, and Consumer Research - as well as with specialized analytics teams elsewhere at Match Group - translating their outputs, and your own analysis, into portfolio-level insight for corporate leadership. As part of a corporate team supporting a portfolio of brands, you will engage with a wide range of senior stakeholders and adapt seamlessly to different business needs, work styles, and communication preferences. Know where you belong. Match Group is a leading provider of dating services across the globe. Our portfolio includes Tinder, Match, Hinge, PlentyOfFish, The League, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn't stop at our platforms - it's the foundation of every team we hire. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week. How you'll make an impact: Executive reporting: Own recurring, cross-brand reporting - consolidating metrics like MAU, revenue, and payer penetration from multiple data sources into a consistent "state of the business" view for corporate and BU leadership. Competitive intelligence: Lead market-landscape and competitive intelligence reporting (e.g., Sensor Tower), size total addressable market, and flag emerging trends and competitive threats for executive and Board audiences. Cross-brand analytics: Analyze how users move across Match Group's brands - overlap, migration, and cannibalization - to inform portfolio strategy and resource-allocation decisions. Ad hoc executive support: Respond to requests from executives and the Board, quickly pulling and synthesizing data across functions into a clear point of view and recommendation. Continuous improvement: Simplify and automate the team's reporting and dashboarding so more time goes to analysis and less to manual upkeep. We could be a match if: You have 4+ years of professional experience in analytics, business intelligence, FP&A, or a related data-driven field. Product analytics backgrounds are a strong fit, but strong SQL skills and communication matter more to us than a specific pedigree. You have strong SQL skills (Databricks or Redshift preferred) and are comfortable combining data across multiple, imperfect sources rather than working within one clean system. You'd rather have broad fluency across marketing, product, finance, and research data than deep specialization in any single one of them. You are proficient in Excel (pivot tables, formulas, charts) and at least one BI/visualization tool (Quicksight, Tableau, Looker, or similar). Your written and verbal communication skills are excellent, and you have experience building executive-facing presentations - you can tell the story, not just show the numbers. You're comfortable with ambiguity, shifting priorities, and being pulled into whatever question the business needs answered that week. You are fluent with AI tools, and always looking for the next one that makes the work faster or sharper. Bonus: experience with competitive intelligence or market-sizing tools (e.g., Sensor Tower), or prior exposure to cross-brand/multi-product analytics. Bachelor's degree required; a quantitative or technical concentration is a plus but not required. Applicants will be required to complete a SQL skills assessment. $100,000 - $130,000 a year The compensation range listed above is representative of the base salary offered. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of Dallas, TX. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. Why Match Group? Our mission is simple - to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer: Mind & Body - Medical, mental health, and wellness benefits to support your overall health and well-being Financial Wellness - Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security Unplug - Generous PTO and 18 paid holidays so you can unplug Career - Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work Family - Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts Company Gatherings - We host fun happy hours and company events where our employees get to know each other and build a sense of connection and belonging! We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic. Period. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact . Note: We will only respond to inquiries regarding accommodations and if you have any questions about your job application, please reach out to your Talent Acquisition Partner directly.

Work Location Type: Hybrid Req Number 334699 About Grainger W.W. Grainger, Inc. is a leading broad line distributor with operations primarily in North America and Japan. At Grainger, We Keep the World Working by serving more than 4.6 million customers worldwide with maintenance, repair and operating (MRO) products and value-added solutions delivered through innovative technology and deep customer expertise. Known for its commitment to service and purpose-driven culture, the Company reported 2025 revenue of $17.9 billion. For more information, visit . Compensation The anticipated base pay compensation range for this position is $112,900.00 - $188,100.00. This role is eligible for an incentive target of up to 10% or $, based on the achievement of individual and company performance objectives in accordance with the current terms of the incentive program which are subject to change. This position is not eligible for any form of sponsorship now or in the future. Individuals requiring sponsorship (e.g. OPT or H1B visa status) should not apply. Only individuals authorized to work in the United States now and for the foreseeable future will be considered for this position. Rewards and Benefits With benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including: Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing. 23 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year. 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required. Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools. Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents. For additional information and details regarding Grainger's benefits, please click on the link below: Grainger Benefits The pay range provided above is not a guarantee of compensation. The range reflects the potential base pay for this role at the time of this posting based on the job grade for this position. Individual base pay compensation will depend, in part, on factors such as geographic work location and relevant experience and skills. The anticipated compensation range described above is subject to change and the compensation ultimately paid may be higher or lower than the range described above. Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law. Position Details As a Senior Software Engineer (Software Engineer III) on the Data Sharing team in the Product Information Management organization, you will be involved in the full systems life cycle and responsible for designing, coding, configuring, testing, implementing and supporting application software and systems that are delivered on time and within budget. In addition to mentoring junior engineers, you will work closely with technical teams, stakeholders and product managers to understand the business requirements that drive the analysis and physical design of technical solutions. The Data Sharing team is responsible for building and operating APIs and event streams to make product data available to all of Grainger. You Will Develop end-to-end services (including APIs and stream processing) using Java and Spring Boot Build applications and develop product design solutions in partnership with engineers, architects, and analysts leading to scalable and maintainable software solutions Utilize specialized skills based on specific platform or domain as required Implement continuous delivery activities (CICD) and drive engineering best practices Support team activities and pair with peers to work on stories Coach and mentor junior engineers Consistently practice sensible defaults (TDD, pair programming, trunk-based development) Participate in on-call rotation You Have Bachelor's Degree or equivalent experience 3+ years experience with modern software engineering; designing, building, and deploying scalable software applications Understanding of distributed system design Experience analyzing and interpreting complex problems and processes Familiarity with Agile/Scrum methodologies and DevOps practices Experience with Java Experience with Spring Boot, Kafka, MongoDB, PostgreSQL, Terraform, and DataDog This position is not eligible for any form of sponsorship now or in the future. Individuals requiring sponsorship (e.g. OPT or H1B visa status) should not apply. Only individuals authorized to work in the United States now and for the foreseeable future will be considered for this position. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace. We are committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one's employment, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.

Reporting into the Chief Financial Officer, the Strategy, Operations & Research team is a nimble group that partners with senior leaders across Match Group and our portfolio businesses on their most important strategic priorities. The team shapes the company's long-term direction by bringing analytical rigor, strategic foresight, and clear operational guidance. We bridge high-level vision and day-to-day execution, ensuring the organization is aligned and moving effectively toward shared goals. As Strategic Analytics & Reporting Manager, you'll be the connective tissue between data and decision-making for the portfolio - pulling together information across brands and functions (product, marketing, finance, research) into one credible view of how the business is performing. Rather than going deep in a single data domain, you'll range across all of them: today it might be a cross-brand user-overlap analysis, tomorrow a competitive intelligence readout for the Board, and next week a same-day pull to answer the CFO's question. You should be as comfortable writing a SQL query as you are presenting the "so what" to an executive. Day-to-day work will include a mix of recurring reporting, ad-hoc analyses, and longer-term projects. This role will work across functions (research, product, finance, marketing, etc.) and across Business Units (Tinder, Hinge, E&E). You will report to the Senior Director, Strategy & Operations and work closely with peers across Strategy, Operations, and Consumer Research - as well as with specialized analytics teams elsewhere at Match Group - translating their outputs, and your own analysis, into portfolio-level insight for corporate leadership. As part of a corporate team supporting a portfolio of brands, you will engage with a wide range of senior stakeholders and adapt seamlessly to different business needs, work styles, and communication preferences. Know where you belong. Match Group is a leading provider of dating services across the globe. Our portfolio includes Tinder, Match, Hinge, PlentyOfFish, The League, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn't stop at our platforms - it's the foundation of every team we hire. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week. How you'll make an impact: Executive reporting: Own recurring, cross-brand reporting - consolidating metrics like MAU, revenue, and payer penetration from multiple data sources into a consistent "state of the business" view for corporate and BU leadership. Competitive intelligence: Lead market-landscape and competitive intelligence reporting (e.g., Sensor Tower), size total addressable market, and flag emerging trends and competitive threats for executive and Board audiences. Cross-brand analytics: Analyze how users move across Match Group's brands - overlap, migration, and cannibalization - to inform portfolio strategy and resource-allocation decisions. Ad hoc executive support: Respond to requests from executives and the Board, quickly pulling and synthesizing data across functions into a clear point of view and recommendation. Continuous improvement: Simplify and automate the team's reporting and dashboarding so more time goes to analysis and less to manual upkeep. We could be a match if: You have 4+ years of professional experience in analytics, business intelligence, FP&A, or a related data-driven field. Product analytics backgrounds are a strong fit, but strong SQL skills and communication matter more to us than a specific pedigree. You have strong SQL skills (Databricks or Redshift preferred) and are comfortable combining data across multiple, imperfect sources rather than working within one clean system. You'd rather have broad fluency across marketing, product, finance, and research data than deep specialization in any single one of them. You are proficient in Excel (pivot tables, formulas, charts) and at least one BI/visualization tool (Quicksight, Tableau, Looker, or similar). Your written and verbal communication skills are excellent, and you have experience building executive-facing presentations - you can tell the story, not just show the numbers. You're comfortable with ambiguity, shifting priorities, and being pulled into whatever question the business needs answered that week. You are fluent with AI tools, and always looking for the next one that makes the work faster or sharper. Bonus: experience with competitive intelligence or market-sizing tools (e.g., Sensor Tower), or prior exposure to cross-brand/multi-product analytics. Bachelor's degree required; a quantitative or technical concentration is a plus but not required. Applicants will be required to complete a SQL skills assessment. $100,000 - $130,000 a year The compensation range listed above is representative of the base salary offered. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of Dallas, TX. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. Why Match Group? Our mission is simple - to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer: Mind & Body - Medical, mental health, and wellness benefits to support your overall health and well-being Financial Wellness - Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security Unplug - Generous PTO and 18 paid holidays so you can unplug Career - Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work Family - Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts Company Gatherings - We host fun happy hours and company events where our employees get to know each other and build a sense of connection and belonging! We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic. Period. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact . Note: We will only respond to inquiries regarding accommodations and if you have any questions about your job application, please reach out to your Talent Acquisition Partner directly.

Apple Client Platform Engineer (Remote, US) About Alectrona Customer experience is more than meeting an SLA. Our team is passionate about making Apple "just work" for our clients, because we want you to experience the delight of a truly functional technology environment, without the friction of IT getting in the way. We get excited about what we do, and we love sharing that passion with our partners. Enterprise IT becomes enjoyable again. We actually love what we do, we take a lot of pride in the quality of our work, and for us, customer experience is paramount. The SLA is not the only metric that drives us. We get deeply invested in finding ways to keep our clients as excited as we are. In an industry that hasn't changed much in over a decade, we are actively reimagining what clients should expect from technology vendors. So we want to show off what's possible not just what's been promised. We treat all people as if they're smart and know what's best. because our clients are smart, and they do know. We work with clients that inspire us, and whose missions we want to support. That mutual respect results in trusting relationships and productive communication about business pain points and solutions. We won't hide behind intimidating security-speak and IT jargon. We say what we mean, and mean for clients to understand what we say. Our clients put their people first - and so do we. Happy employees create happy customers. Downtime is expensive, and top talent shouldn't spend entire days downloading apps and setting up workstations. Our clients understand this, and demand the best for their people as a matter of business strategy. We bring a matching sense of purpose and excitement to every client engagement. What you'll do at Alectrona You will lead professional services engagements for organizations running Apple at scale. That means designing the management platform, building the parts that do not exist yet, and telling the customer the truth about what will and will not work. We're a fully remote team across multiple time zones, and we expect you to work well in that environment and be willing to meet in person a few times per year, present at conferences, and be an active member of the team. Design, deploy, and hand over Apple management platforms: MDM, identity, patching, security tooling, and the integrations that tie them together. Own services engagements end to end in accordance with our company values. You scope the work, plan it, run it, document it, and close it out. We expect you to be able to effectively manage your own time and projects. Our team enjoys this flexibility and autonomy and the responsibility that comes with it. Solve the problems that get escalated after everyone else has tried. Packet captures, log spelunking, protocol-level MDM debugging, troubleshooting undocumented behavior in macOS. Understand software development concepts: automations, integrations against vendor APIs, custom agents, deployment tooling. We don't expect you to write apps, but it is important to understand the code you're deploying and know how to fix stuff that isn't working. Challenge customers when their plan will not survive production. Arguing for a better approach is part of the job, and you have to do it well enough to keep the relationship. Run scoping calls. Uncover the business driver behind the request, and then explain what the work will take in plain language. Support our small and medium business managed services customers alongside the rest of the Alectrona team. Provide technical support and guidance to our managed services customers, including properly recording notes, updating documentation, and resolving tickets within SLA targets. Mentor other engineers and colleagues to raise the standards and help everyone learn. Shape new products and services. Alectrona builds its own software, and the ideas come from the field. Perform all job responsibilities in alignment with the core values, mission and purpose of the organization. Adhere to the highest moral, ethical and legal standards to deliver an environment that promotes respect, innovation and creativity. Support and promote a positive, inclusive workplace where the talents and strengths of our increasingly diverse workforce are welcomed, further developed, and expressed in our work. What we're looking for This is a high mid-level to senior role. We are looking for an engineer who is an expert in Apple management and knows the rest of IT well enough to work across the whole stack a customer runs. You will be supporting a variety of customer types, from end users to IT managers. Apple and endpoint management Deep experience managing Apple devices in a variety of types of environments. This means complex management beyond help desk support and basic engineering Solid hands-on expertise in at least two enterprise Apple device management platforms, and the ability to pick up the others fast. Our work spans Jamf Pro, Microsoft Intune, Omnissa Workspace ONE, Fleet, Iru (formerly Kandji), Addigy and Mosyle. Command of the Apple management stack itself, not just one vendor's console: this includes an understanding of the MDM protocol, Declarative Device Management, Automated Device Enrollment and Apple Business, APNs, configuration profiles, TCC and PPPC, FileVault, code signing and notarization, Platform SSO, etc. Experience migrating fleets between platforms, and a solid understanding of what each vendor does well and where another solution might be stronger. Software/DevOps skills for managing endpoints You are familiar with more than just using basic shell scripts. Confidence in writing your own Shell scripts and troubleshooting code at a minimum. Swift, Python, Go or other experience is a plus. Use AI to accelerate and complement your code, not as a wholesale replacement. We want efficiency, productivity, and anti-slop creativity. At Alectrona, we view AI not as a replacement for human expertise, but as a multiplier for your existing skills. Using git, participating in code review, leveraging CI, and testing and packaging are part of how you work, not something another team does for you. You leverage APIs, webhooks, and automation workflows to complete tasks and build processes that scale. The rest of IT IP networking: familiar with TCP/IP, DNS, DHCP, routing, 802.1X, VPN, proxies and TLS inspection. Server and identity administration: supporting Platform SSO, WebAuthn, Entra ID, Okta, Google Workspace, Active Directory, SAML, OIDC, SCIM, Kerberos, and certificate authorities. Security and compliance: CIS Benchmarks, NIST 800-53, SOC 2, ISO 27001, endpoint detection tooling, vulnerability management, and how each of these applies to securing Macs in production. Working with customers Experience and confidence delivering paid professional services or consulting to external customers. You are comfortable actively leading and training customers on implementing configuration changes when we aren't provided direct access to systems. Experience and confidence in supporting end users and small businesses in our managed services operation. You explain complex technical work to people who do not share your background, in writing and out loud. You participate in discovery, kickoff, and project scoping calls as the engineering voice; ask good questions and translate client context into technical decisions. You have the confidence to stand up for what's right, whether it's about a technical best practice or just common sense. You challenge your customer to think differently and maintain trust in our recommendations. You stay steady when a project goes sideways, the workload swings, or a customer is unhappy. Fluent English language proficiency (required). Education and certifications Four-year degree, or the equivalent in experience and knowledge. We understand these skills don't come from higher education alone. Appreciated, but not required; however, you should have the skill to obtain any or all of these certifications quickly: Apple Certified IT Professional, Jamf Certified Expert (400), Microsoft MD-102, CompTIA Network+ and Security+, CISSP. If you don't have certs, you will be expected to obtain them in the first few months of employment. You're the right fit for Alectrona if You enjoy your work and enjoy helping the people around you without being asked. You seek out perspectives that are not your own. You are curious and resourceful; you dig into the parts nobody else wants, and you improve on your own work. New challenges excite you rather than worry you. You take calculated risks and share your mistakes with the team so we can all improve. You approach hard conversations with empathy. Like us, you enjoy solving the really hard problems as a team and hearing how we've significantly improved our clients' working environment. We're serious about building a great place to work where we all get to enjoy what we do together. Pay and benefits The approximate annual compensation range for this role is $95,000 to $165,000, including base salary and any related bonuses or commissions. In addition, Alectrona provides benefits, including 401(k) (6% non-elective company contribution), group medical, dental, vision insurance (99% paid by Alectrona), and an unlimited vacation policy.

Reporting into the Chief Financial Officer, the Strategy, Operations & Research team is a nimble group that partners with senior leaders across Match Group and our portfolio businesses on their most important strategic priorities. The team shapes the company's long-term direction by bringing analytical rigor, strategic foresight, and clear operational guidance. We bridge high-level vision and day-to-day execution, ensuring the organization is aligned and moving effectively toward shared goals. As Strategic Analytics & Reporting Manager, you'll be the connective tissue between data and decision-making for the portfolio - pulling together information across brands and functions (product, marketing, finance, research) into one credible view of how the business is performing. Rather than going deep in a single data domain, you'll range across all of them: today it might be a cross-brand user-overlap analysis, tomorrow a competitive intelligence readout for the Board, and next week a same-day pull to answer the CFO's question. You should be as comfortable writing a SQL query as you are presenting the "so what" to an executive. Day-to-day work will include a mix of recurring reporting, ad-hoc analyses, and longer-term projects. This role will work across functions (research, product, finance, marketing, etc.) and across Business Units (Tinder, Hinge, E&E). You will report to the Senior Director, Strategy & Operations and work closely with peers across Strategy, Operations, and Consumer Research - as well as with specialized analytics teams elsewhere at Match Group - translating their outputs, and your own analysis, into portfolio-level insight for corporate leadership. As part of a corporate team supporting a portfolio of brands, you will engage with a wide range of senior stakeholders and adapt seamlessly to different business needs, work styles, and communication preferences. Know where you belong. Match Group is a leading provider of dating services across the globe. Our portfolio includes Tinder, Match, Hinge, PlentyOfFish, The League, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn't stop at our platforms - it's the foundation of every team we hire. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week. How you'll make an impact: Executive reporting: Own recurring, cross-brand reporting - consolidating metrics like MAU, revenue, and payer penetration from multiple data sources into a consistent "state of the business" view for corporate and BU leadership. Competitive intelligence: Lead market-landscape and competitive intelligence reporting (e.g., Sensor Tower), size total addressable market, and flag emerging trends and competitive threats for executive and Board audiences. Cross-brand analytics: Analyze how users move across Match Group's brands - overlap, migration, and cannibalization - to inform portfolio strategy and resource-allocation decisions. Ad hoc executive support: Respond to requests from executives and the Board, quickly pulling and synthesizing data across functions into a clear point of view and recommendation. Continuous improvement: Simplify and automate the team's reporting and dashboarding so more time goes to analysis and less to manual upkeep. We could be a match if: You have 4+ years of professional experience in analytics, business intelligence, FP&A, or a related data-driven field. Product analytics backgrounds are a strong fit, but strong SQL skills and communication matter more to us than a specific pedigree. You have strong SQL skills (Databricks or Redshift preferred) and are comfortable combining data across multiple, imperfect sources rather than working within one clean system. You'd rather have broad fluency across marketing, product, finance, and research data than deep specialization in any single one of them. You are proficient in Excel (pivot tables, formulas, charts) and at least one BI/visualization tool (Quicksight, Tableau, Looker, or similar). Your written and verbal communication skills are excellent, and you have experience building executive-facing presentations - you can tell the story, not just show the numbers. You're comfortable with ambiguity, shifting priorities, and being pulled into whatever question the business needs answered that week. You are fluent with AI tools, and always looking for the next one that makes the work faster or sharper. Bonus: experience with competitive intelligence or market-sizing tools (e.g., Sensor Tower), or prior exposure to cross-brand/multi-product analytics. Bachelor's degree required; a quantitative or technical concentration is a plus but not required. Applicants will be required to complete a SQL skills assessment. $100,000 - $130,000 a year The compensation range listed above is representative of the base salary offered. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of Dallas, TX. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. Why Match Group? Our mission is simple - to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer: Mind & Body - Medical, mental health, and wellness benefits to support your overall health and well-being Financial Wellness - Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security Unplug - Generous PTO and 18 paid holidays so you can unplug Career - Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work Family - Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts Company Gatherings - We host fun happy hours and company events where our employees get to know each other and build a sense of connection and belonging! We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic. Period. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact . Note: We will only respond to inquiries regarding accommodations and if you have any questions about your job application, please reach out to your Talent Acquisition Partner directly.

About Hightouch Hightouch is an Agentic Marketing Platform powered by the industry-leading Composable CDP. With complete brand context, customer data, and performance history in one place, every marketer finally has the power to build and ship end-to-end campaigns themselves. Teams move faster, stay on brand, and get AI marketing that actually works. Founded in 2019 and headquartered in San Francisco, Hightouch enables marketing teams to analyze performance, brainstorm ideas, and generate creative at a speed and quality that wasn't previously possible. Named a Leader in the 2026 Gartner Magic Quadrant for Customer Data Platforms, Hightouch is trusted by leading enterprises like Domino's, Spotify, Aritzia, Ramp, and PetSmart. At Hightouch, our mission is to help our customers leverage data and AI to grow their businesses. The team is ambitious, impact-driven, efficient - and we believe humility, kindness, and compassion are essential to our success. If you're energized by velocity, obsessed with raising the bar, and want to build alongside people who care deeply about each other and our customers, we'd love to meet you. About the Role We are looking for a developer productivity engineer to take responsibility for our monorepo and the "path to production" for over 50 engineers pushing over 75 commits a day with continuous deployment to production. This presents an exciting challenge where you can apply your expertise in helping teams ship fast and safe to meaningfully improve the productivity of our engineering team. This role also provides a unique opportunity to work on a multi-cloud and multi-region infrastructure that supports a global customer base. Our monorepo is primarily Javascript/Typescript with some Go and Python. While the primary responsibility of this job is developer productivity, to fit in with the team and be productive in our codebase generally, strong computer science and development fundamentals will be required. As part of your onboarding, you'll spend significant time writing and delivering features to gain empathy for the current dev flow. We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. This comes in different forms: you will own and deliver projects from start to finish, you will work directly with customers to solve their hardest scaling problems, and you will have a lot of influence over what we work on as a team and company. Some of the problems we'll be working on include: Own the build : You'll be the single threaded owner for the build/test/deploy of our software and how each team fits into it Monorepo productivity: Detangle our build/test/deploy patterns so teams can move fast and not block each other. Investigate/implement a tool like turbo repo to speed builds and separate concerns Drive excellence in testing: We need to improve our top-down and team-level views into test coverage + support an ever growing matrix of data sources, data destinations, and enrichment patterns. An excellent engineer in this role will be able to "hold up a mirror" to our dev teams, helping each team understand where they have gaps Multi-Region and Multi-Cloud: Supporting our multi-region and multi-cloud backend, including extending it to launch Hightouch on in new regions to support data residency requirements of our global customer base Operational excellence: Support an increase in our ability to catch issues before they reach production and respond quickly if they do We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $400,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation. About You You are an engineer with a passion for solving hard technical problems that generate real value for customers. You're motivated by high ownership and are comfortable in a fast-paced, startup environment. You've driven significant improvement in the productivity of a 50+ person development team by making high-leverage changes to their build/test/deploy processes. While you likely have some infra chops, this is not an infra role: you have strong development fundamentals and are comfortable driving framework-level improvements across multiple teams. This could take several forms: You've been a member of a developer-productivity team/function for an outstanding development team You've organically become "the build person" at a fast-growing startup and helped bring order to chaos You've personally delivered code that has improved cross-team metrics related to developer productivity (e.g., DORA metrics, coverage, etc) In addition to any of the above, we're looking for someone who can dive into feature code, including complicated backend code, as needed. Interview Process Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don't ask you to write code to solve technical brainteasers that don't appear in your day to day job. Apply: Curl on port 13784 and have followed those instructions before applying. It'll only take a minute! Recruiter Screen: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit System Design Screen: Designing a data processing feature end-to-end. Developer Productivity Skills Interview: We'll dive into your experience making teams productive through a discussion of past projects and tooling you've used. Hiring Manager Interview: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles. System Design Interview: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical. We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for. E-Verify Statement Hightouch participates in E-Verify. After you join the team, we'll verify your eligibility to work in the U.S. by submitting information from your Form I-9 to the Social Security Administration and, if needed, the Department of Homeland Security. This process happens post-hire only - we never use E-Verify to pre-screen applicants. E-Verify Notice E-Verify Notice (Spanish) Right to Work Notice Right to Work Notice (Spanish)

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology-resulting in denser signals and challenging new problems in estimation and experimental design. In this hybrid role you will report to a data science manager. You will: Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation. Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving. Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods. Derive data-driven conclusions and communicate findings to senior stakeholders. Establish yourself as the point-of-contact for a significant project area by using data to drive technical decisions and demonstrate success. Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo's simulation software; facilitate deployment readiness decisions for both products. Mentor other data scientists and provide constructive technical feedback within the team and across Waymo. You have: Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) 5+ years of industry experience solving data science problems, or a PhD in a quantitative field and 3+ years of industry experience Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: PhD in a quantitative field A demonstrated track record of independently driving data science projects to deliver business value Experience solving problems related to Autonomous Driving or Ride Hailing Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000-$259,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently. You will: Design, implement, and evaluate state-of-the-art generative models for autonomous vehicle planning and prediction Develop next-generation, ML-powered systems that enhance the capabilities of the ML driver and accelerate the rapid scaling of Waymo's business Translate open-ended, real-world driving challenges into well-defined machine learning problems, applying cutting-edge techniques, including foundation models and reinforcement learning Write high-quality, scalable, and thoroughly tested code to bring cutting-edge research into production Partner with world-class researchers, engineers, and product managers to deliver safe and smooth planning behaviors, and publish findings at top-tier academic venues You have: PhD in Computer Science, Machine Learning, Robotics, a related technical field, or equivalent practical experience A proven track record of publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRA, IROS, RSS, CoRL, ACL, or EMNLP) Demonstrated impact on the broader ML community through influential research, widely adopted open-source projects, or significant industry contributions Hands-on expertise with modern deep learning frameworks, for example JAX or PyTorch Proficient programming skills in Python and/or C++, coupled with strong analytical and debugging abilities We prefer: Specialized research experience in deep learning, reinforcement learning, causal reasoning, or foundation models Prior industry experience (e.g. internships) in applied ML research or software development Domain expertise in solving motion planning, prediction, or related robotics problems Hands-on experience deploying, evaluating, and maintaining ML-based systems in real-world, production environments The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $175,000-$215,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently. You will: Design, implement, and evaluate state-of-the-art generative models for autonomous vehicle planning and prediction Develop next-generation, ML-powered systems that enhance the capabilities of the ML driver and accelerate the rapid scaling of Waymo's business Translate open-ended, real-world driving challenges into well-defined machine learning problems, applying cutting-edge techniques, including foundation models and reinforcement learning Write high-quality, scalable, and thoroughly tested code to bring cutting-edge research into production Partner with world-class researchers, engineers, and product managers to deliver safe and smooth planning behaviors, and publish findings at top-tier academic venues You have: PhD in Computer Science, Machine Learning, Robotics, a related technical field, or equivalent practical experience A proven track record of publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRA, IROS, RSS, CoRL, ACL, or EMNLP) Demonstrated impact on the broader ML community through influential research, widely adopted open-source projects, or significant industry contributions Hands-on expertise with modern deep learning frameworks, for example JAX or PyTorch Proficient programming skills in Python and/or C++, coupled with strong analytical and debugging abilities We prefer: Specialized research experience in deep learning, reinforcement learning, causal reasoning, or foundation models Prior industry experience (e.g. internships) in applied ML research or software development Domain expertise in solving motion planning, prediction, or related robotics problems Hands-on experience deploying, evaluating, and maintaining ML-based systems in real-world, production environments The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $175,000-$215,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. With over 1 million driverless miles per week, it is critical that Waymo can understand and assess the behavior of all its vehicles - both in the field and in simulation - with automated algorithms. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We collaborate across teams to bring ML to production systems and build what is Waymo's reward function. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We combine expert human judgements and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles and have an incessant drive to improve the performance of our technology stack. This role follows a hybrid work schedule and reports to an Engineering Manager. You will: Lead a top-tier applied ML team focused on building ML models for AV behavior understanding and evaluation, using deep learning and Gen AI. Lead the development of cutting edge Deep Learning and machine learning models to enhance human-led triaging and introduce automation for high-volume workflows Design and build Gen AI LLM/VLM solutions for self driving car behavior analysis and anomaly detection Enhance User Feedback Analysis, collaborate seamlessly with product and business teams to design and implement tools for multi-label classifications, sentiment assessment, comment summarization, root cause analysis and trend analysis of rider feedback Oversee the production and optimization of machine learning models aiming to assess Waymo's expansive fleet of vehicles that cumulatively travel millions of miles. Drive technical direction, and provide technical inputs and guidance to the team. Work closely with PMs and TPMs to help define product requirements and align the technical agenda with the company's business objectives. Collaborate closely with multiple teams (e.g., Prediction, Planning, Research), other technical leads, and senior leaderships across Waymo to deliver on key strategic efforts. You have: B.S. in Computer Science, Robotics, Machine Learning, similar technical field of study, or equivalent practical experience 5+ years of experience leading engineering teams of 5-15 people 7+ years of experience with hands-on experience in machine learning projects 7+ years of hands-on experience building and deploying machine learning products in production environments Experience in at least one of: Foundational Models, VLM, Deep Learning Strong coding experience in C++ and/or Python. Experience with ML frameworks such as TensorFlow, PyTorch, Hugging Face's transformers, along with expertise in deep learning models and ML deployment at scale We prefer: M.S. or Ph.D. degree Computer Science or related quantitative field with a specialization of machine learning. Deep learning experience with Transformers Gen AI LLM/VLM experience Experience with building tools for applied machine learning, including MLOps, evaluation/validation techniques, and model performance optimization. Large-scale data processing and analytical skills. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $238,000-$302,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. With over 1 million driverless miles per week, it is critical that Waymo can understand and assess the behavior of all its vehicles - both in the field and in simulation - with automated algorithms. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We collaborate across teams to bring ML to production systems and build what is Waymo's reward function. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We combine expert human judgements and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles and have an incessant drive to improve the performance of our technology stack. This role follows a hybrid work schedule and reports to an Engineering Manager. You will: Lead a top-tier applied ML team focused on building ML models for AV behavior understanding and evaluation, using deep learning and Gen AI. Lead the development of cutting edge Deep Learning and machine learning models to enhance human-led triaging and introduce automation for high-volume workflows Design and build Gen AI LLM/VLM solutions for self driving car behavior analysis and anomaly detection Enhance User Feedback Analysis, collaborate seamlessly with product and business teams to design and implement tools for multi-label classifications, sentiment assessment, comment summarization, root cause analysis and trend analysis of rider feedback Oversee the production and optimization of machine learning models aiming to assess Waymo's expansive fleet of vehicles that cumulatively travel millions of miles. Drive technical direction, and provide technical inputs and guidance to the team. Work closely with PMs and TPMs to help define product requirements and align the technical agenda with the company's business objectives. Collaborate closely with multiple teams (e.g., Prediction, Planning, Research), other technical leads, and senior leaderships across Waymo to deliver on key strategic efforts. You have: B.S. in Computer Science, Robotics, Machine Learning, similar technical field of study, or equivalent practical experience 5+ years of experience leading engineering teams of 5-15 people 7+ years of experience with hands-on experience in machine learning projects 7+ years of hands-on experience building and deploying machine learning products in production environments Experience in at least one of: Foundational Models, VLM, Deep Learning Strong coding experience in C++ and/or Python. Experience with ML frameworks such as TensorFlow, PyTorch, Hugging Face's transformers, along with expertise in deep learning models and ML deployment at scale We prefer: M.S. or Ph.D. degree Computer Science or related quantitative field with a specialization of machine learning. Deep learning experience with Transformers Gen AI LLM/VLM experience Experience with building tools for applied machine learning, including MLOps, evaluation/validation techniques, and model performance optimization. Large-scale data processing and analytical skills. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $238,000-$302,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. With over 1 million driverless miles per week, it is critical that Waymo can understand and assess the behavior of all its vehicles - both in the field and in simulation - with automated algorithms. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We collaborate across teams to bring ML to production systems and build what is Waymo's reward function. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We combine expert human judgements and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles and have an incessant drive to improve the performance of our technology stack. This role follows a hybrid work schedule and reports to an Engineering Manager. You will: Lead a top-tier applied ML team focused on building ML models for AV behavior understanding and evaluation, using deep learning and Gen AI. Lead the development of cutting edge Deep Learning and machine learning models to enhance human-led triaging and introduce automation for high-volume workflows Design and build Gen AI LLM/VLM solutions for self driving car behavior analysis and anomaly detection Enhance User Feedback Analysis, collaborate seamlessly with product and business teams to design and implement tools for multi-label classifications, sentiment assessment, comment summarization, root cause analysis and trend analysis of rider feedback Oversee the production and optimization of machine learning models aiming to assess Waymo's expansive fleet of vehicles that cumulatively travel millions of miles. Drive technical direction, and provide technical inputs and guidance to the team. Work closely with PMs and TPMs to help define product requirements and align the technical agenda with the company's business objectives. Collaborate closely with multiple teams (e.g., Prediction, Planning, Research), other technical leads, and senior leaderships across Waymo to deliver on key strategic efforts. You have: B.S. in Computer Science, Robotics, Machine Learning, similar technical field of study, or equivalent practical experience 5+ years of experience leading engineering teams of 5-15 people 7+ years of experience with hands-on experience in machine learning projects 7+ years of hands-on experience building and deploying machine learning products in production environments Experience in at least one of: Foundational Models, VLM, Deep Learning Strong coding experience in C++ and/or Python. Experience with ML frameworks such as TensorFlow, PyTorch, Hugging Face's transformers, along with expertise in deep learning models and ML deployment at scale We prefer: M.S. or Ph.D. degree Computer Science or related quantitative field with a specialization of machine learning. Deep learning experience with Transformers Gen AI LLM/VLM experience Experience with building tools for applied machine learning, including MLOps, evaluation/validation techniques, and model performance optimization. Large-scale data processing and analytical skills. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $238,000-$302,000 USD

At Niagara, we're looking for Team Members who want to be part of achieving our mission to provide our customers the highest quality most affordable bottled water. Consider applying here, if you want to: Work in an entrepreneurial and dynamic environment with a chance to make an impact. Develop lasting relationships with great people. Have the opportunity to build a satisfying career. We offer competitive compensation and benefits packages for our Team Members. GenAI Software Engineer II (Production Systems)The AI Software Engineer II / IT Developer II will be a key member of our Integration and Middleware Development team, with a strong hands-on focus on AI/ML-driven engineering solutions. The ideal candidate will bring practical experience designing, building, and deploying AI/ML and Generative AI capabilities within enterprise systems, while also contributing to scalable integration and middleware platforms. This role requires hands-on experience applying machine learning, Generative AI, and intelligent automation techniques to solve real engineering and business problems - including intelligent monitoring, anomaly detection, predictive workflows, AI-assisted development, and intelligent integration patterns. The candidate should demonstrate practical experience working with ML models, LLM-based solutions, data pipelines, and AI-powered system enhancements. The candidate will specialize in designing, developing, and maintaining scalable APIs, microservices, and middleware technologies while embedding AI/ML capabilities into enterprise integration workflows. Strong expertise in Node.js, Python, modern microservices architectures, and API design patterns is expected. The Developer will collaborate closely across the IT Department with full-stack, data science, database, and ERP teams, as well as cross-functional business partners to deliver intelligent, scalable, and AI-enabled enterprise solutions. Essential Functions Execute established Software Development Life Cycle (SDLC) processes. Collaborate with business analysts and stakeholders to develop software solutions aligned with business processes, data usage, and system flows. Create detailed process flows, high-level functional designs, and technical design specifications based on business requirements. Write clean, scalable, efficient, and testable code. Deploy software solutions and proactively evaluate user feedback. Troubleshoot, debug, maintain, and upgrade existing systems and applications. Adhere to enterprise standards and development guidelines, including documentation, version control, testing, and migration practices. Plan, track, escalate, and deliver assigned tasks effectively and on schedule. Provide reliable customer support for critical application issues. Collaborate effectively with onsite and offshore teams. Continuously enhance job knowledge by exploring state-of-the-art development tools, programming techniques, and industry trends. Communicate proactively with internal and external partners. Participate in scheduled and off-hours support rotations as needed. Please note this job description outlines primary duties but is not exhaustive. Responsibilities may evolve over time. Additional Expectations: Analyze and develop technical solutions aligned with business and customer requirements Exhibit strong analytical, problem-solving, and critical-thinking skills Demonstrate the ability to translate complex business and technical needs into actionable solutions Effectively manage multiple priorities and concurrent projects Possess strong written and verbal communication skills, including detailed documentation of technical incidents and processes Work independently while maintaining strong team-oriented interpersonal skills, including collaboration, facilitation, and effective interfacing with diverse groups Maintain a high degree of professionalism and business judgment Deliver effective and professional presentations to peers, management, and technical professionals Proficient with standard productivity tools such as Microsoft Office and Outlook Exhibit excellent interpersonal skills, organizational proficiency, and planning capabilities Experience with DevOps practices and CI/CD pipelines is a plus Qualifications Minimum Qualifications: 4-5 Years - Hands-on experience designing and implementing AI/ML/GenAI solutions, including: Building and integrating machine learning models into production systems Working with Large Language Models (LLMs), prompt engineering, or AI-assisted automation Implementing intelligent monitoring, anomaly detection, predictive workflows, or AI-driven error handling Applying AI/ML to engineering productivity, automation, or enterprise system enhancements Demonstrated practical implementation, not just conceptual knowledge 4-5 Years - Cloud technologies experience (Azure preferred, AWS acceptable), including deployment of AI/ML or data-driven services 4-5 Years - Experience with Enterprise Integrations and middleware development (MuleSoft) 4-5 Years - Experience with Node.js and Python development (including experience using Python for data processing, ML workflows, or AI integration) 4-5 Years - Experience building scalable APIs/microservices with demonstrated understanding of architectural patterns 3 Years - Experience managing technical projects and/or working in roles requiring substantial cross-team collaboration Experience may include a combination of work experience and education experience may include a combination of work experience and education Preferred Qualifications: 6 Years - Hands-on experience designing, training, fine-tuning, or integrating AI/ML/GenAI solutions in production environments Experience working with: LLM frameworks and AI platforms (Azure OpenAI, OpenAI, Hugging Face, etc.) Model lifecycle management, evaluation, or monitoring practices AI-powered automation or intelligent workflow orchestration Data preprocessing, feature engineering, or model optimization 6 Years - Cloud technologies experience (Azure preferred, AWS acceptable) 5 Years - Experience with Enterprise Integrations and middleware development (MuleSoft) 5 Years - Experience building scalable APIs/microservices with demonstrated understanding of architectural patterns 4 Years - Experience managing technical projects and/or working in roles requiring substantial cross-team collaboration experience may include a combination of work experience and education Education Minimum Required: Bachelor's Degree in Computer Science, Engineering, or related field Preferred: Master's Degree in Computer Science, Engineering, or related field Typical Compensation Range Pay Rate Type: Salary$100,464.14 - $145,673.02 / Yearly Benefits Our Total Rewards package is thoughtfully designed to support both you and your family: Regular full-time team members are offered a comprehensive benefits package, while part-time, intern, and seasonal team members are offered a limited benefits package. Paid Time Off for holidays, sick time, and vacation time Paid parental and caregiver leaves Medical, including virtual care options Dental Vision 401(k) with company match Health Savings Account with company match Flexible Spending Accounts Expanded mental wellbeing benefits including free counseling sessions for all team members and household family members Family Building Benefits including enhanced fertility benefits for IVF and fertility preservation plus adoption, surrogacy, and Doula reimbursements Income protection including Life and AD&D, short and long-term disability, critical illness and an accident plan Special discount programs including pet plans, pre-paid legal services, identity theft, car rental, airport parking, etc. Tuition reimbursement, college savings plan and scholarship opportunities And more! Los Angeles County applicants only Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers, the California Fair Chance Act, and any other applicable local and state laws. Any employment agency, person or entity that submits a résumé into this career site or to a hiring manager does so with the understanding that the applicant's résumé will become the property of Niagara Bottling, LLC. Niagara Bottling, LLC will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity. Employment agencies that have fee agreements with Niagara Bottling, LLC and have been engaged on a search shall submit résumé to the designated Niagara Bottling, LLC recruiter or, upon authorization, submit résumé into this career site to be eligible for placement fees.