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Scale's Generative AI business unit is less than one year old and is currently seeing historic levels of growth. As a Strategic Projects Lead (SPL), you will leading initiatives that will drive $XXM+ in new revenue for the business. This is a demanding role, and as an SPL, you should be prepared to wear many hats such as Operator, Product Manager and customer-facing Engagement Manager. The ideal SPL should have a strong entrepreneurial mindset, be comfortable getting into the weeds, and be excited about intense, impactful work that leads to an accelerated career progression. You will: • Lead cross-functional projects with diverse stakeholders (Engineering + Ops + Go-to-Market), • Partner with product and engineering teams to enhance products to fulfill needs of strategic customers and initiatives, • Own the execution of our data labeling operations for strategic projects, • Give regular progress updates to Scale's executive team, • Strong technical background (a degree in computer science is ideal, and at minimum the role requires the ability to do data analytics using SQL or Python)., • 2+ years of experience leading a team, developing product or operational processes, or as a SWE., • Strong problem solving capabilities (experience working on operational challenges or as a consultant is a plus). About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At Scale, our Security Architecture team builds the foundations that allow engineers to ship fast without compromising security. From securing modern TypeScript services and cloud infrastructure to enabling safe adoption of AI-driven systems, our work shapes how products are designed, deployed, and operated across the company. We are looking for a Security Engineering Manager to help define and build the "paved road" for secure development at Scale. As a Security Engineering manager, you will manage a team of Security Engineers that operate as a builder first mentality - roughly 60% software engineering and 40% security. You'll partner deeply with product, platform, and infrastructure teams to design secure architectures, build shared primitives, and influence how engineering teams work end-to-end. This role requires strong experience in security engineering around pen testing, product/infrastructure security, detention and response. You will: • Partner with product and engineering teams across the full SDLC, from RFC and architecture reviews through implementation, launch, and long-term maintenance., • Conduct deep architecture and design, identifying systemic risks beyond individual vulnerabilities., • Managing a team that will build and maintain secure cloud and CI/CD foundations using Infrastructure as Code., • Act as a technical advisor to engineering teams, helping them ship secure, maintainable, production-grade systems., • Influence security strategy and technical direction through tooling, standards, and clear technical guidance., • Own performance management for Security Engineering teams, setting expectations, evaluating impact, and developing senior talent., • Experience conducting security, architecture, and design reviews., • Deep familiarity with AWS cloud primitives, including IAM, and experience designing systems for multiple environments., • Experience working with Infrastructure as Code (Terraform, CDK, or similar), treating infrastructure as software., • Strong ability to structure ambiguous problems and propose pragmatic solutions., • Excellent communication skills, with the ability to explain complex security and architectural tradeoffs to technical and non-technical stakeholders., • A proven ability to influence cross-functional teams and drive adoption of secure patterns without blocking velocity., • Experience working with Kubernetes and container security, including network policies and workload isolation., • Experience supporting AI/ML workloads., • Familiarity with AI / LLM systems, agentic workflows, and emerging AI security concerns., • Experience working in large-scale monorepos or with modern build systems (e.g., Bazel), • Exposure to data security, data pipelines, or compliance-driven systems (e.g., GDPR)., • Willingness to learn and build automation around compliance environments (e.g., FedRAMP, GovCloud). About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Diversified: Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world's most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back. What to Expect: At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you. As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion. IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED. How You'll Contribute: The Solutions Architect (SA) is a subject matter expert (SME) and technology thought leader who contributes their deep knowledge of process and technology to the core team for each Sports Media & Entertainment (M&E) project. The SA provides direction and advice through the project life cycle from sales concept to design development, construction drawings to implementation support. As the technical thought leader on a project team, the SA is instrumental in the determination and execution of client and system requirements and will collaborate with Sports M&E SMEs and project teams as required. The SA is also responsible for mentoring other members of the design engineering staff. Reporting to the Sports Director of Engineering, the SA's project assignments are determined by Engineering Leadership based on enterprise-wide demands. NOTE: This is a virtual role day to day, but required periodic travel to customer & project sites. up to 30% of the time, anywhere in the US. What You'll Do: • Contributes to complex engagements and works directly with clients and project teams to develop basis of design, budgets, timelines, and manage expectations., • Conceptualize system designs and determine system requirements., • Provide technical expertise and coordination information to support the base building tasks performed by others, and planning of audio, video, and control solutions., • Monitor development of projects the Bills of Materials (BOM) and supporting documentation., • Develop detailed design documentation strategy based on established engineering standard practices. Track engineering team tasks to completion., • Generate functional system descriptions, workflow narratives, and accompanying sketches., • Research, identify, and recommend technology options for clients and projects., • Contribute technical expertise for the creation and later reconciliation of the complete construction drawing package, support documentation for installation and coordination with architect and other trades., • Monitor project testing, commissioning, and configuration activities during project deployment., • Support projects and teams in build phase., • Provide regular project engineering milestone status updates to Technical Operations resource planning., • Evaluate RFP documents to identify risks, scope gaps and alternative solutions., • Evaluate Vendor responses to RFP requests to determine if the quoted solution appropriately responds to the RFP requirements and also work with the vendors to develop alternative solutions and or cost saving measures., • Work with Sports Account Executives and customers to develop proposals that respond to the customers' technical needs., • Maintain expertise in the industry through ongoing review of trade publications, participation in industry trade shows, seminars, and educational forums. Complexity: The Solutions Architect works with the Sports Engineering Director on resource assignment. This role is primarily billable in a post-sales capacity, though there are times when the SA will work on presales estimation and design efforts. Decision Making Authority: As the technical thought leader on a project, the SA is responsible for vetting products and making detailed equipment recommendations. The SA has the authority to recommend changes in scope as well as programming and commissioning activities to enhance project success. The SA is also responsible for reviewing drawing packages produced by project teams. Physical Demands: The physical demands described here are representative of those that may be met by an employee. Work will normally be performed within normal office conditions and/or home office depending on location of SA. On occasions the employee may be exposed to construction site conditions. Employee will be responsible for their safety while on job sites and to comply with all safety regulations in place by the GC. Use of PPE is usually required on job sites. The employee can typically spend at least 50% of their time on their feet and be required to mobile around the construction site. The individual is regularly required to use keyboards, test equipment and controls required for SI installation projects. Specific vision abilities required for this job include close vision, distance vision, peripheral vision, and depth vision. Travel: Occasional travel by car and occasional airplane trips are required. Employee must possess a valid driver's license in their state of residence. Employee will be required to use their own vehicle for travel to job sites within a 2 hour driving distance each way and will be reimbursed for mileage at the current corporate rate. Estimated travel for this position is approximately~ 30% but may vary greatly depending on project needs. What You'll Bring: Education & Certifications: • High school diploma or GED required, • Proficient in AutoCAD and MS Office 365 Required Skills/Qualifications: • 15+ years' experience in Sports / Media/ Entertainment (M&E) technical systems design for Stadium / Arena Video Production Systems, • Extensive experience with SMPTE 2110 Routing Orchestration and Network Architecture and Digital AV networks (e.g. Dante / AES67) is required; certifications preferred, • Understanding of TCP/IP routing, ACL's, QoS, VLAN's and Wireless Access Points; network certifications preferred, • SDI Based Routing and Production Systems, • Stadium / Arena Broadcast Cabling Solutions, • Production Control Rooms, • Camera Systems (Wired / Wireless / PTZ / HFR / HDR), • Replay / Slow Motion Systems, • Graphics Systems and LED CMS Systems, • Intercom Systems (Wired / Wireless), • Fiber Transmission Systems, • Proven ability to lead high profile client interactions, affecting high level financial & technical decisions, • Ability to manage multiple projects simultaneously and manage the expectations of each project team; with the ability to delegate conceptual information to those project teams for execution., • Proven track record of successfully completing complex Sports M&E engineering projects., • A clear understanding of project phases; Program, Conceptualization, Schematic Design, Design Development, Construction Documentation, Construction and Commissioning., • Detailed oriented, independent, self-starter, • Exceptional time management skills with a track record for meeting deadlines, • Excellent communication skills, • Ability to analyze complex issues and communicate concise succinct messages, • High level of problem solving and technical troubleshooting skills Desired Skills/Qualifications: • Media Asset Management, • Media Workflow, • Understanding of Cloud Audio Video Production Technology Along with competitive compensation, you will be eligible for the following benefits: • Multiple medical plan options to suit your family's needs, • Dental (including orthodontic coverage) and vision plans, • Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP), • Healthcare and Dependent Care Flexible Spending Accounts (FSA), • 401k with Employer Match, • Paid Time Off and Paid Holidays, • Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services, • Commuter Benefits Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered. If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact so we can assist you. Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. Our Approach As part of the interview process, you'll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams power Scale's AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale. • Design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers, • Implement high-impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal, • Collaborate closely with internal operators (your users are your neighbors) to identify bottlenecks and ship fast, pragmatic solutions, • Own core systems critical to our contributor platform, with direct impact on Scale's GenAI data pipeline and business outcomes, • Architect and scale infrastructure capable of handling millions of tasks per week with high reliability and low latency, • Partner cross-functionally with ML teams, Forward Deployed Engineers, and Product to ensure data quality and operational excellence, • Contribute to a strong engineering culture while setting best practices for teammates through mentorship, code reviews, and process improvements, • 5+ years of software engineering experience, ideally in high-growth, product-focused environments, • Proven track record of shipping production systems at scale, • Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability., • Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling, • Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal, • Strong product sense and ability to translate ambiguous problems into technical solutions, • Comfortable working in a fast-paced, high-ownership environment with a bias toward execution About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Connectivity team owns the core platform that enables Scale to continuously generate, evaluate, and deliver high-quality training data to our customers. Our systems sit at the center of Scale's data and AI infrastructure, powering large-scale workflows while supporting frontier AI capabilities such as multi-modality, long-horizon reasoning, and agentic behavior. We're looking for a senior engineer with deep experience building robust platforms, someone who brings strong architectural judgment, a bias toward correctness and reliability, and the ability to design systems that scale and evolve cleanly over time. This is a backend-heavy role with full-stack expectations and significant ownership from design through long-term operation. • Design and own foundational platform systems that support scalable data generation, evaluation, and bespoke customer delivery across Scale's ecosystem., • Architect extensible, production-grade services that can support frontier AI workflows, including multi-modal inputs, long-running processes, and agentic orchestration., • Build and operate distributed systems at scale, with strong guarantees around correctness, reliability, observability, and cost efficiency., • Integrate with public LLM APIs and AI services, designing abstractions that are resilient to model churn, latency variability, and evolving usage patterns., • Design and maintain data transformation and processing systems, supporting complex schema evolution, customization, and high-throughput workloads., • Partner closely with infrastructure, product, and customer-facing teams to define requirements, shape technical direction, and deliver seamless integration experiences for customers., • Lead multi-quarter technical initiatives, including authoring and driving a 6+ month technical roadmap for major platform investments., • Apply strong engineering judgment in ambiguous problem spaces, balancing speed with long-term maintainability and operational excellence., • Raise the quality bar through thoughtful system design reviews, rigorous code reviews, and mentorship grounded in real-world production experience., • 7+ years of professional software engineering experience, with a strong background in building and operating large-scale, production-grade platforms., • Deep expertise in distributed systems and cloud-native architectures, including Kubernetes, microservices, event-driven systems, caching, and production databases., • Proven ability to lead multi-quarter technical initiatives, work effectively across cross-functional teams, and apply strong architectural judgment in ambiguous environments., • Preferred: Experience integrating with public LLM APIs and designing systems that handle scale, reliability, latency, and cost tradeoffs. Preferred: Experience building or operating data processing and transformation systems supporting complex workflows and evolving schemas. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,200—$270,250 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Presidio, Where Teamwork and Innovation Shape the Future AtPresidio, we're at the forefront of a global technology revolution, transforming industries throughcutting-edge digital solutions and next-generation AI. We empower businesses-and their customers-to achieve more through innovation, automation, and intelligent insights. The Role: Principal Architect, Digital Services, HCLS Summary: A Presidio Digital Services Principal Architect, Healthcare and Life Sciences (HCLS), leads presales discovery, analysis, architecture, design, proposals, and scope-of-work creation, translating customer requirements into outcome-focused solutions through direct client engagement with HCLS accounts. Leveraging sharp business acumen alongside technical expertise, a builder mentality, presales methodology, and strong relationships (clients, Presidio stakeholders, and vendor partners); the Principal Architect assesses industry, customer, technical, and sales context to position solutions that deliver measurable, long-term value. This is a client-facing, 100% presales role that operates at the intersection of sales, delivery engineering, and customer executives to ensure we only propose solutions that are desirable for the client, feasible for delivery, and viable for Presidio Who You Are: • A Consultative Mind: You have a natural curiosity to understand a client's business first, before ever discussing a technical solution. You listen actively, come prepared, and ask thoughtful, open-ended questions that uncover real business friction-not just surface requirements., • Real Executive Presence: You know how to command a room, build consensus, and make complex ideas feel simple to C-level stakeholders. You read the room, adjust your approach in real time, and are comfortable leading conversations with CIO, CTO, and SVP-level leaders., • An Orchestrator: You're a master at leading matrixed teams. You know your job is to be the quarterback for our specialists, not the hero who does it all. You bring a strong point of view, but with enough humility to co-create solutions with experts across functions., • Resilient and Gritty: You run towards the tough challenges and can navigate ambiguity without losing focus. You are comfortable shaping opportunities that may start out messy, incomplete, or politically complex., • A Builder at Heart: You have spent meaningful time in delivery or engineering environments-writing code, refactoring legacy systems, building data pipelines, or architecting modern data platforms. You prefer to spend your time now in presales, solutioning, and customer engagement, but your recommendations are grounded in lived delivery experience., • Fluent in Modern AI-Driven Delivery: You stay current on how AI is transforming software and data delivery, including how AI fits into the SDLC and engineering workflows. You are eager to understand Presidio's AI practices, accelerators, and reference architectures so you can confidently represent them to clients and align with delivery teams., • A TShaped Leader: You bring broad, crossdomain fluency across digital, data, cloud, and AI, with deep handson experience in at least one of software engineering, data engineering, or modern cloud architectures., • Drive Digital Services Sales. In partnership with sales teams, formulate and execute a technical sales strategy to exceed revenue objectives through the adoption of Presidio Digital Services - application modernization, application development, software development lifecycle (SDLC), artificial intelligence (AI), and data estate and platform modernization. You act as the primary technical lead on pursuits, shaping solutions that sales can confidently position and close., • Understand Customer Current State. Proactively drive discovery and understanding of customer IT current state, goals, outcomes, and initiatives across Business, Technical, Operational, and Financial facets. Research industry trends and topics and develop discovery approaches. Develop and lead workshops to drive relevant discovery. Document customer current state to assist customer and sales teams target future state architectures and roadmaps., • Technical Opportunity Leadership. Lead opportunities for relevant services to achieve technical win of Presidio services solutions. Identify customer stakeholders and their individual success criteria and needs. Create and lead technical solution approaches and next steps aligned to customer stakeholders. Align, vet and coordinate Presidio technical resources as needed. Engage Manager/VP/Director level at clients directly., • Practice Delivery Engagement. Act as a bridge between sales and delivery engineering to ensure customer success. Collaborate closely with delivery leads to shape approaches, validate feasibility, right-size risk, and author formal scopes of work. Ensure that what is proposed in presales is realistic, deliverable, and aligned with the way our teams execute., • Solution Architecture, Design and Documentation. Analyze and assess client requirements and determine target services approach, solutions, and roadmaps. Create and deliver compelling technical proposals directly to clients, including relevant drawings, diagrams and analysis. Clearly articulate trade-offs, options, and phased approaches that align with client constraints and priorities., • Technical Excellence & Evangelism. Maintain a high level of technical excellence and evangelism across multiple relevant solution architecture and product areas, including emerging AI-driven development and data practices. Understand Presidio's accelerators, reference architectures, and AI-in-SDLC practices well enough to position them credibly in client conversations, while partnering with delivery teams that own detailed implementation. Participate in technical communities, internal knowledge sharing, and external presentations as appropriate., • Account Leadership. Actively participate in client account related activities that establish the Solution Architect as a trusted advisor internally and with customers, such as: Account planning, EBCs, and strategic workshops. Help shape multi-year digital, data, and AI roadmaps in partnership with sales and delivery leadership., • Team Engagement and Enable Culture. Engage Presidio team members, actively participate in team activities, and contribute on collaboration tools to drive an open, positive, inclusive, resilient, change-orientated team culture. Be a steward of the PRESIDIO CORE VALUES -Excellence, Forward-Thinking, Accountability, One Presidio., • Partner Relationships. Develop working relationships with vendor partner teams and peers, prioritizing the hyper-scaler cloud solutions and relevant ecosystems. Contribute to and drive execution of relevant partner vendor GTM strategies., • Continuous Improvement & Innovation. Actively plan and execute growth and career development activities. Seek and collaborate on improvements to presales processes, qualification, and solutioning patterns. Stay current on Presidio's internal practices, methodologies, and AI accelerators so you can continuously refine how you position our differentiated value to clients., • Bachelor's degree or equivalent experience (including military experience)., • 10+ years in digital/cloud solution delivery and consulting, including 7+ years in architecture/solution design and 5+ years hands-on with at least one major cloud (AWS, Azure, or GCP)., • Extreme ownership, grit, and resilience; comfortable running toward ambiguous, politically complex opportunities and shaping them into structured pursuits., • Strong consultative presales aptitude with a context-first, problem-framing approach and proven ability to uncover real business friction and desired outcomes., • Demonstrated executive presence with comfort leading presentations, whiteboards, and solution discussions with CIO/CTO/SVP-level stakeholders., • Deep background in software and/or data engineering (building and shipping applications, data platforms, or pipelines) with the ability to review/refactor code or data designs and mentor specialists., • Track record in presales or principal architect / client principal-type roles bridging sales and delivery, driving technical win, and shaping realistic, deliverable scopes of work., • Architect-level certifications with a major cloud provider (AWS, Azure, or GCP)., • Hands-on experience with modern app and data stacks (for example, microservices, event-driven or serverless architectures; Snowflake, Databricks, or equivalent)., • Experience building GenAI and agentic solutions (RAG pipelines, LLM-based applications, multi-agent orchestration) and using AI tools such as GitHub Copilot or similar., • Experience writing SOWs and proposals, including RFP/RFI responses, for complex digital, data, and AI programs JoiningPresidiomeans stepping into aculture of trailblazers-thinkers, builders, and collaborators-who push the boundaries of what's possible. With our expertise inAI-driven analytics, cloud solutions, cybersecurity, and next-gen infrastructure, we enable businesses to stay ahead in an ever-evolving digital world. Here,your impact is real.Whether you're harnessing the power ofGenerative AI, architecting resilientdigital ecosystems, or drivingdata-driven transformation, you'll be part of a team that is shaping the future. Ready to innovate? Let's redefine what's next-together. About Presidio At Presidio, speed and quality meet technology and innovation. Presidio is a trusted ally for organizations across industries with a decades-long history of building traditional IT foundations and deep expertise in AI and automation, security, networking, digital transformation, and cloud computing. Presidio fills gaps, removes hurdles, optimizes costs, and reduces risk. Presidio's expert technical team develops custom applications, provides managed services, enables actionable data insights and builds forward-thinking solutions that drive strategic outcomes for clients globally. For more information, visit . Applications will be accepted on a rolling basis. Presidio has a strong commitment to the community we serve and our employees. As an Equal Opportunity Employer, we strive to have a workforce that includes the community we serve. Presidio is an Equal Opportunity Employer Disability/Vets. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories. The "Know Your Rights" Poster is available here: Presidio's EEO Policy Statement is available here: Presidio is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an email to and let us know the nature of your request and your contact information. Presidio is a VEVRAA Federal Contractor requesting priority referrals of protected veterans for its openings. State Employment Services, please provide priority referrals to . Notice to Massachusetts Candidates: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Recruitment Agencies, Please Note: Presidio does not accept unsolicited agency resumes/CVs. Do not forward resumes/CVs to our careers email address, Presidio employees or any other means. Presidio is not responsible for any fees related to unsolicited resumes/CVs. #LI-JM3 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer's use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth. Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with. The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply! You will: • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back, • Work closely with our customer's engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas, • Design, develop and maintain playbooks, internal tools, Scale's documentation and SDKs to quickly get customers set up for long-term success, • Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer, • Be accountable for the customer's technical experience throughout their time with Scale, • Work with AEs and PMs to identify customer-specific feature requests, • Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations, • Evangelize Scale and interact with customers at major events, • Have an active TS/SCI clearance Ideally you'd have: • Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way, • Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals, • Prior experience developing with Python and JavaScript, or other modern software languages, • Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields, • Strong project management and interpersonal skills, • Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers, • High level of comfort communicating effectively across internal and external organizations, • Intellectual curiosity, empathy, and ability to operate with high velocity Nice to haves: • Experience in AI, • Experience working in classified environments, • Previous experience as a technical go-to-market resource, • Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment, • Hands-on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment, • Experience automating infrastructure and configuration management using Ansible or similar tools Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$190,000—$290,000 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$170,000—$260,000 USDThe base salary range for this full-time position in the location of St. Louis is:$140,000—$220,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 4+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$179,400—$224,250 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. About our Billing Team We're looking for entrepreneurial Software Engineers to join our Billing Platform team. In this role, you'll have the opportunity to drive the revenue tracking and billing system for our Generative AI products. You'll be deeply involved in building flexible, new systems to support customer billing use cases, implementing complex billing partitioning schemes based on dynamic criteria, and/or improving customer invoice generation and balance visibility. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. The ideal person is a natural entrepreneurial engineer who can take an ambiguous scope and lead the execution of outcomes, doing what it takes to hit them incl coding, talking to customers, defining requirements, etc. We strongly believe the best engineers own outcomes and deeply understand customer problems. • Design, implement, and operate flexible and accurate financial systems, • Work across backend, frontend, and accounting-related systems, • Deliver at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • Be able, and willing, to multi-task and learn new technologies quickly, • Provide critical input in the Billing team's roadmap and technical direction, • Work closely with cross-functional partners like finance, product, software engineers, and operations to identify opportunities for business impact, understand, refine and prioritize requirements for billing schemes and financial infrastructure., • 5+ years of software engineering experience, ideally in high-growth, product-focused environments, • Proven track record of shipping production systems at scale, • Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability., • Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling, • Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal, • Strong product sense and ability to translate ambiguous problems into technical solutions, • Comfortable working in a fast-paced, high-ownership environment with a bias toward execution About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI's Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We're looking for a hands-on Field Engineering Manager on the front lines leading a team of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. Field Engineers are software engineering generalists who enjoy working with clients directly, taking ambiguous requirements and issues, and quickly designing and building production-grade solutions in close collaboration with the Product, Engineering, and Delivery teams. Field Engineers are experts on Scale's products and codebase, and have general technical knowledge on GenAI systems, APIs, networking, and data engineering. Field Engineers are strong relationship builders, great project managers, and always fun to work with. You'll play a critical role in delivering technical solutions-all while helping your team grow and execute. You'll split your time between technical planning and execution (50%) and people management and team development (50%), leading a team of 6-8 engineers. You'll work cross-functionally with product, engineering, security, and delivery teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs. Day to day: • 50% Field engineering - customer engagement, technical development and delivery, • Recruit a high-performing engineering team., • Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of customer facing engineers working on Generative AI projects., • Collaborating with cross-functional teams to define, design, and execute strategic roadmap based on customer needs., • Work directly with customers to understand their problems and translate those into custom workflows within Scale's platform., • Be open to ~25% travel or relocation to a key customer geographic location., • Collaborate with cross-functional teams to define the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • Lead end-to-end technical delivery of custom workflows from scoping to development to testing to implementation, • 5+ years of full-time engineering experience, post-graduation., • 2+ years of prior engineering management or equivalent experience and previously managed an engineering team., • Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles., • Prior experience developing with Python and JavaScript, or other modern software languages., • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus., • Linux experience: Understanding of shell scripting, operating systems, etc., • Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc) is a plus., • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles., • Understand unique DoD and USG constraints when it comes to technology. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$273,700—$341,550 USD Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$238,050—$297,850 USDPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado, Hawaii is:$213,900—$267,950 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: • Own large new areas within our product, • Work across backend, frontend, and interacting with LLMs and ML models, • Deliver experiments at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • 4+ years of full-time engineering experience, post-graduation, • Experience scaling products at hyper growth startups, • Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies, • Proficient in Python or Javascript/Typescript, and SQL, • Experience with Kubernetes About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Presidio, Where Teamwork and Innovation Shape the Future AtPresidio, we're at the forefront of a global technology revolution, transforming industries throughcutting-edge digital solutions and next-generation AI. We empower businesses-and their customers-to achieve more through innovation, automation, and intelligent insights. The Role A Presidio Digital Services Principal Architect, Healthcare and Life Sciences (HCLS), leads presales discovery, analysis, architecture, design, proposals, and scope-of-work creation, translating customer requirements into outcome-focused solutions through direct client engagement with HCLS accounts. Leveraging sharp business acumen alongside technical expertise, a builder mentality, presales methodology, and strong relationships (clients, Presidio stakeholders, and vendor partners); the Principal Architect assesses industry, customer, technical, and sales context to position solutions that deliver measurable, long-term value. This is a client-facing, 100% presales role that operates at the intersection of sales, delivery engineering, and customer executives to ensure we only propose solutions that are desirable for the client, feasible for delivery, and viable for Presidio Key Responsibilities: • Drive Digital Services Sales. In partnership with sales teams, formulate and execute a technical sales strategy to exceed revenue objectives through the adoption of Presidio Digital Services - application modernization, application development, software development lifecycle (SDLC), artificial intelligence (AI), and data estate and platform modernization. You act as the primary technical lead on pursuits, shaping solutions that sales can confidently position and close., • Understand Customer Current State.Proactively drive discovery and understanding of customer IT current state, goals, outcomes, and initiatives across Business, Technical, Operational, and Financial facets. Research industry trends and topics and develop discovery approaches. Develop and lead workshops to drive relevant discovery. Document customer current state to assist customer and sales teams target future state architectures and roadmaps., • Technical Opportunity Leadership.Lead opportunities for relevant services to achieve technical win of Presidio services solutions. Identify customer stakeholders and their individual success criteria and needs. Create and lead technical solution approaches and next steps aligned to customer stakeholders. Align, vet and coordinate Presidio technical resources as needed. Engage Manager/VP/Director level at clients directly., • Practice Delivery Engagement. Act as a bridge between sales and delivery engineering to ensure customer success. Collaborate closely with delivery leads to shape approaches, validate feasibility, right-size risk, and author formal scopes of work. Ensure that what is proposed in presales is realistic, deliverable, and aligned with the way our teams actually execute., • Solution Architecture, Design and Documentation. Analyze and assess client requirements and determine target services approach, solutions, and roadmaps. Create and deliver compelling technical proposals directly to clients, including relevant drawings, diagrams and analysis. Clearly articulate trade-offs, options, and phased approaches that align with client constraints and priorities., • Technical Excellence & Evangelism.Maintain a high level of technical excellence and evangelism across multiple relevant solution architecture and product areas, including emerging AI-driven development and data practices. Understand Presidio's accelerators, reference architectures, and AI-in-SDLC practices well enough to position them credibly in client conversations, while partnering with delivery teams that own detailed implementation. Participate in technical communities, internal knowledge sharing, and external presentations as appropriate., • Account Leadership.Actively participate in client account related activities that establish the Solution Architect as a trusted advisor internally and with customers, such as: Account planning, EBCs, and strategic workshops. Help shape multi-year digital, data, and AI roadmaps in partnership with sales and delivery leadership., • Team Engagement and Enable Culture.Engage Presidio team members, actively participate in team activities, and contribute on collaboration tools to drive an open, positive, inclusive, resilient, change-orientated team culture. Be a steward of the PRESIDIO CORE VALUES -Excellence, Forward-Thinking, Accountability, One Presidio., • Partner Relationships.Develop working relationships with vendor partner teams and peers, prioritizing the hyper-scaler cloud solutions and relevant ecosystems. Contribute to and drive execution of relevant partner vendor GTM strategies., • Continuous Improvement & Innovation. Actively plan and execute growth and career development activities. Seek and collaborate on improvements to presales processes, qualification, and solutioning patterns. Stay current on Presidio's internal practices, methodologies, and AI accelerators so you can continuously refine how you position our differentiated value to clients., • Extreme ownership mentality with a self-starting approach to ambiguous problems without waiting for direction, • Demonstrated grit and resilience with a track record of running toward tough challenges and navigating uncertainty, • Intellectual curiosity with evidence of independently learning emerging technologies (for example, GenAI, agentic AI, modern data platforms, or cloud services) outside formal training, • Collaborative mindset with humility and the ability to work across sales, delivery engineering, and partner teams, deferring to domain experts when appropriate, • Growth mindset with willingness to course-correct upon feedback and actively seek mentoring and coaching, • Aptitude for consultative presales with a context-first problem-solving approach, • Proven ability to deeply understand customer business friction, desired outcomes, and constraints before architecting solutions, • Demonstrated comfort leading presentations, solution demonstrations, and whiteboard sessions with both technical and executive audiences, • Expert time management and ability to set expectations and provide timely feedback loops to leadership and account teams, • Hands-on engineering background with proven experience writing, reviewing, or refactoring code, or architecting data solutions (not just infrastructure or platform design), • Deep roots in software development or data engineering, with experience building, testing, and shipping software or data solutions, • Prior experience in a presales solution architect, principal architect, or similar role bridging sales and delivery is strongly preferred, • Overall 10+ years of relevant experience, • 7+ years of architecture, design, implementation, and/or consulting in digital and/or cloud technologies, • 5+ years hands-on experience with AWS, Azure, or GCP, with deep expertise in at least one major cloud and readiness to work with others, • 5+ years of specific domain experience in one or more of the following areas:, • Application development: Building new products, features, or user experiences, • Application modernization: Refactoring legacy codebases, re-architecting monoliths, upgrading frameworks (beyond lift-and-shift or containerization only), • Data engineering and modernization: Modern data platforms (Snowflake, Databricks), data pipelines, large-scale data migration programs, analytics solutions, cloud-native data services (AWS Glue/Redshift/EMR, Azure Synapse/Data Factory, GCP BigQuery/Dataflow), • Software development lifecycle (SDLC) optimization: CI/CD for developer velocity, AI-augmented development, and testing automation, • Artificial intelligence (AI) and Generative AI (GenAI): RAG pipelines, LLM-embedded applications, multi-agent systems, and agentic orchestration approaches, • A builder mentality capable of prototyping software and data solution concepts where appropriate, with comfort using AI-accelerated tools as part of your own workflow, • Amazon Web Services (AWS), Google (GCP), and/or Microsoft (Azure) architect-level certifications, • Experience in delivering modern application architectures through hands-on development or code refactoring (for example, microservices, event-driven architectures, serverless, API-first design), • Hands-on software engineering or code development experience (for example, Python, Java, C#, JavaScript/TypeScript, Go, or similar), • Experience with modern data platforms and tools: Snowflake, Databricks, AWS (Glue, Redshift, EMR, Lake Formation), Azure (Synapse, Data Factory, Databricks), GCP (BigQuery, Dataflow, Dataproc), • Data engineering experience including building data pipelines, ETL/ELT, data modeling, data governance, or analytics solutions, • Experience with large-scale data migration or modernization programs, • Experience building GenAI-embedded solutions: RAG pipelines, LLM-based applications, prompt design, vector databases, • Experience with agentic AI frameworks and orchestration: LangGraph, AutoGen, crewAI, Semantic Kernel, or custom multi-agent systems, • Familiarity with data engineering for AI/ML, including feature engineering, vector databases, and data preparation for LLM training or fine-tuning, • Familiarity with AI-accelerated development tools such as GitHub Copilot, Cursor, Amazon CodeWhisperer, Tabnine, or similar, • Experience using AI in the SDLC, including code generation, automated testing, documentation generation, or code review assistance, • Demonstrated curiosity about AI's impact on software and data delivery (for example, through webinars, articles, experiments, or peer discussions), • DevOps experience focused on application delivery and developer productivity (rather than platform operations alone), • Experience with reviewing and/or writing statements of work (SOW), • Experience and/or ability to prepare RFP/RFI responses, proposals, and solution documents, • Demonstrated comfort leading CIO/CTO-level presentations, solution demonstrations, and whiteboard sessions, • Experience working in Healthcare and Life Sciences (HCLS) solutions, companies, or regulated environments, • Awareness of GxP compliance frameworks, 21 CFR Part 11, HIPAA/PHI data handling, and related regulatory constraints, • Familiarity with FHIR interoperability standards, HL7, and EHR/EMR integrations (for example, Epic, Cerner) Here,your impact is real.Whether you're harnessing the power ofGenerative AI, architecting resilientdigital ecosystems, or drivingdata-driven transformation, you'll be part of a team that is shaping the future. Ready to innovate? Let's redefine what's next-together. About Presidio At Presidio, speed and quality meet technology and innovation. Presidio is a trusted ally for organizations across industries with a decades-long history of building traditional IT foundations and deep expertise in AI and automation, security, networking, digital transformation, and cloud computing. Presidio fills gaps, removes hurdles, optimizes costs, and reduces risk. Presidio's expert technical team develops custom applications, provides managed services, enables actionable data insights and builds forward-thinking solutions that drive strategic outcomes for clients globally. For more information, visit . Applications will be accepted on a rolling basis. Presidio has a strong commitment to the community we serve and our employees. As an Equal Opportunity Employer, we strive to have a workforce that includes the community we serve. Presidio is an Equal Opportunity Employer Disability/Vets. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories. The "Know Your Rights" Poster is available here: Presidio's EEO Policy Statement is available here: Presidio is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an email to and let us know the nature of your request and your contact information. Presidio is a VEVRAA Federal Contractor requesting priority referrals of protected veterans for its openings. State Employment Services, please provide priority referrals to . Notice to Massachusetts Candidates: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Recruitment Agencies, Please Note: Presidio does not accept unsolicited agency resumes/CVs. Do not forward resumes/CVs to our careers email address, Presidio employees or any other means. Presidio is not responsible for any fees related to unsolicited resumes/CVs. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: • Create multi-layered guardrails around agents, • Optimize data retrieval for agents, • Orchestrate fleets of asynchronous agents, • Automatically alerts users to deviations in data You will: Design and implement scalable backend systems for Federal customers using cloud-native AI infrastructure. • Build features for agentic systems including multi-layered guardrails and data retrieval optimization., • Develop data pipelines and machine learning infrastructure to make data sources accessible by agents., • Collaborate with cross-functional teams to execute backend solutions for secure environments., • Participate in customer engagements to understand requirements and deliver technical solutions., • Define requirements with stakeholders and implement features until they are accepted., • Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases, • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles, • AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles, • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About the ACE team The Agent Capabilities & Environments (ACE) team, part of Scale's Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. About This Role This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions. • Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes., • A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.), • At least three years of experience addressing sophisticated ML problems, either in a research setting or product development., • Strong written and verbal communication skills and the ability to operate cross-functionally., • Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax., • Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents., • Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc., • Familiarity with agentic reasoning methods such as STaR and PLANSEARCH Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$275,000—$350,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Diversified: Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world's most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back. What to Expect: At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you. As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion. IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED. How You'll Contribute: The Senior Design Engineer (SDE) is a lead member of the core team for each Media & Entertainment (M&E) project. The SDE provides direction and oversight through the project life cycle from sales concept to design development, construction drawings to implementation support. As the technical authority on a project team, the SDE is instrumental in the determination and execution of client and system requirements and will collaborate with M&E SME teams as required. The SDE is also responsible for mentoring other design engineers on the project team. Reporting to a Regional Director of Project Engineering, the SDE's project assignments are determined by Operations Leadership based on enterprise-wide demands. As the final sign off on project bill of materials prior to purchasing, the SDE is responsible for vetting products and making detailed equipment decisions. As the technical leader on a project, the SDE has the authority to recommend direction on scope changes and programming and commissioning activities. The SDE will also be responsible for approving drawing packages being done by other design engineers as well as supervising them in their work. While this is a virtual position day-to-day, it supports Diversified clients in the NYC/ NE US region; as such we require the candidate to reside in that geography. What You'll Do: • Negotiates changes in deliverables and schedules and is an escalation point for engineering issues., • May be required to regularly lead teams on large projects., • Conceptualize system designs and determine system requirements., • Provide technical expertise and coordination information to support the base building tasks performed by others, and planning of audio, video, and control solutions., • Oversee and/or develop the Bill of Materials (BOM) and supporting documentation., • Develop detailed design documentation strategy based on established engineering standard practices. Track engineering team tasks to completion., • Generate functional system descriptions, complete block wiring diagrams, rack elevations, custom plates, or cabling assemblies., • Research, identify, and recommend technology options for clients and projects., • Test, commission, and configure subsystems during project deployment., • Support projects and teams in build phase. Complete the as-built drawings for service hand-over., • 7+ years of experience, • Demonstrated knowledge of broadcast technology, equipment, facilities, and production systems used in the Media and Entertainment / Broadcast industry. Formats include high-definition, UHD and HDR video systems deployed using analog, SDI and SMPTE 2110 IP transport protocols., • Understanding of TCP/IP routing, ACL's, QoS, VLAN's and Wireless Access Points., • Proven track record of successfully completing engineering projects., • A thorough, demonstrable understanding of the construction process, installation, and integration as well as architectural and construction drawings and specifications., • Detailed oriented, independent, self-starter, • Exceptional time management skills with a track record for meeting deadlines, • Excellent communication skills, • Ability to analyze complex issues and communicate concise succinct messages What We Offer: Along with competitive compensation, you will be eligible for the following benefits: • Multiple medical plan options to suit your family's needs, • Dental (including orthodontic coverage) and vision plans, • Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP), • Healthcare and Dependent Care Flexible Spending Accounts (FSA), • 401k with Employer Match, • Paid Time Off and Paid Holidays, • Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services, • Commuter Benefits Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered. If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact so we can assist you. Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Lead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs (ChatGPT, Gemini, Llama). You will build scalable multi-agent systems to validate agentic reasoning and behaviors, scale human expertise, and drive research into real-world agent reliability failures despite strong benchmarks, shipping production fixes. Ideal for exceptional engineers with deep research rigor and a relentless focus on practical, high-impact systems. You will iterate rapidly with data, leverage AI tools to accelerate development, and collaborate tightly across engineering, product, and research. If you excel at turning frontier agent research into reliable deployed systems, we want to hear from you. You will: • Build and deploy multi-agent systems for agentic reasoning validation, • Develop pipelines to detect errors and scale human judgment, • Combine classical ML, LLMs, and multi-agent techniques for reliability, • Lead research into agent failure modes and ship fixes, • Use AI tools to speed prototyping and iteration, • Build data-driven evaluations and deploy rapid improvements, • PhD or MSc in Computer Science, Mathematics, Statistics, or related field, • 3+ years shipping scaled production ML systems, • Demonstrated real-world impact, • Mastery of PyTorch, TensorFlow, JAX, or scikit-learn, • Deep expertise in agentic LLMs and multi-agent systems, • Strong software engineering and microservices (AWS/GCP), • Rapid, data-driven iteration, • Proficiency using AI tools to accelerate work, • Strong research depth with practical bias, • Experience prototyping agent evaluation/reliability systems, • Human-in-the-loop or annotation pipeline work, • Open-source contributions in agents, evaluation, or alignment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI builds the data infrastructure that powers the world's most advanced AI. We are the trusted data partner behind frontier model makers and enterprise AI teams - providing the high-quality training data, evaluation frameworks, and human-feedback systems that make models smarter, safer, and more capable. Scale operates as a two-sided marketplace. On the demand side, our customers - leading AI labs and enterprises - need precisely labeled, expert-curated data to train and evaluate their models. On the supply side, we work with a global network of 500,000+ skilled contributors across 100+ countries who perform the complex annotation, evaluation, and data-generation tasks that fuel AI progress. Product Managers at Scale sit at the intersection of these two sides, shaping the systems, tooling, and experiences that make this marketplace work at unprecedented quality and scale. We are hiring Product Managers across multiple teams within our GenAI organization. These roles span both demand-side products (the tools and platforms our customers interact with) and supply-side products (the systems that power our contributor ecosystem). Each role offers the opportunity to work on high-impact, technically complex problems at the frontier of AI - with dedicated engineering, design, and data science teams. • Scale's GenAI platform is how the world's leading AI companies - from frontier model labs to Fortune 500 enterprises - create the training data that makes their models best-in-class. As a PM here, you are building the systems that directly shape AI model quality., • These roles are deeply cross-functional. You will work with dedicated engineering, design, and data science teams, as well as operations, finance, growth, and customer-facing stakeholders. The problems are technically complex, the pace is fast, and the impact is measurable., • Whether you are on the demand side (shaping the products customers use to create and evaluate training data) or the supply side (building the systems that power our global contributor marketplace), you will own your product area end-to-end - from strategy to execution to instrumentation. Task UX (Demand Side) - Own the end-to-end tasking product. You will define how tasks are designed, how contributors interact with multi-turn chat interfaces, and how in-task quality is measured and enforced across diverse conversational modalities. This is a critical surface area for training the next generation of models. Multi-Dimensional Quality (Demand Side) - Own Scale's MDQ measurement framework, the CoPilot assisted-annotation experience, and our data pipeline connectivity layer. You will drive the core data quality infrastructure that customers depend on - defining how quality is decomposed, measured, and surfaced, while building AI-assisted tooling that helps contributors produce higher-quality outputs faster. Pay & Incentives (Supply Side) - This PM owns the payment and incentive systems that serve Scale's global contributor base. You will ensure 500,000+ contributors across 100+ countries are paid accurately and on time, set pay rates methodically by skill and geography, and design incentive structures that balance cost efficiency, data quality, and contributor satisfaction. This role sits at the intersection of marketplace economics, global payments operations, and contributor experience. • Set the product strategy and roadmap for your area, grounded in customer needs, data analysis, and business impact, • Develop and execute a data-driven product roadmap through close collaboration with senior leadership, engineering, operations, data science, analytics, and design, • Translate customer and internal-user needs into clear, well-defined functional and technical requirements backed by data analysis and deep understanding of your users, • Guide and interface closely with engineering and data teams to define scope, review and refine technical capabilities, prioritize projects for release, and identify new opportunities, • Build long-term instrumentation, monitoring, and evaluation capabilities for product performance tracking and insight generation, • Establish business cases and projected return on investment to identify and prioritize opportunities, • Partner with finance and business leaders to manage impact on the profitability and growth of the overall business, • Communicate product vision, strategy, and progress to executive stakeholders and cross-functional partners, • 4-10 years of experience in Product Management in the tech industry, with scope appropriate to level (L4: 4-6 yrs, L5: 6-8 yrs, L6: 8-10+ yrs), • Strong business acumen and analytical rigor, with demonstrated success driving products in ambiguous, high-growth environments, • Experience translating complex technical systems into clear product strategies - comfort engaging deeply with engineering and data science teams, • Excellent communication and stakeholder management skills, capable of influencing across technical and non-technical audiences, • Experience building products from the ground up and iterating through the scaling journey of a business, • Experience in AI/ML, data infrastructure, or marketplace businesses, • Strong understanding of the AI landscape - model training workflows, data labeling, evaluation, and deployment, • Experience with global payment systems, contributor/gig-economy platforms, or trust & safety domains About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The goal of a Staff Machine Learning Engineer at Scale is to lead the design and deployment of agentic AI systems that operate in real-world, mission-critical government environments. On the Public Sector team, you'll work at the intersection of agentic ML, systems engineering, and applied research, building foundational infrastructure that enables AI systems to reason, plan, and act reliably at national scale. Our Public Sector ML Team partners directly with U.S. defense and intelligence agencies to deploy AI into classified and regulated environments. Through flagship programs like ___ and ___, we are advancing the next generation of agentic AI for geospatial reasoning, planning, and decision support. Staff Machine Learning Engineers play a central role in setting technical direction, owning core architectures, and translating ambitious ideas into production systems trusted by government operators. You will: • Lead the architecture and implementation of agentic AI systems, with a focus on long-horizon reasoning, orchestration, and system-level reliability., • Build and scale agents that perform complex geospatial reasoning, including interpreting, generating, and reasoning over maps and spatial data., • Design and improve retrieval systems across large collections of static and semi-structured documents, enabling agents to surface high-signal context efficiently., • Fine-tune and evaluate embedding models to improve recall and precision for mission-critical datasets., • Design memory systems that allow agents to persist state, operate over long contexts, and learn from prior interactions., • Own and evolve shared agentic infrastructure and core libraries, enabling reuse across teams, products, and Public Sector contracts., • Define evaluation strategies for agentic systems, including robustness testing, failure-mode analysis, and regression testing in production environments., • Partner closely with engineering managers, product leaders, and researchers to scope high-impact initiatives and unblock execution across teams. Ideally You'd Have: • 8+ years of experience building and deploying applied ML systems in production environments., • Deep experience with agentic systems, autonomous workflows, or ML systems that reason and act over multiple steps., • Strong background in ML systems engineering, including model serving, pipelines, monitoring, and evaluation., • Hands-on experience with retrieval systems, embeddings, or representation learning., • Proficiency in Python and modern ML frameworks (ex: PyTorch), with the ability to design systems end to end., • Demonstrated ability to operate at Staff-level scope: setting technical direction, owning ambiguous problems, and driving 01 initiatives to production., • High ownership over 01 systems that move directly into production., • Real-world constraints that force thoughtful engineering tradeoffs, not just model tuning., • Opportunity to shape foundational agentic infrastructure used across multiple teams and missions. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers. Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like ___ and ___. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications. • Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers., • Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics, • Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines, • Work with massive datasets to develop both generic models as well as fine tune models for specific products, • Build scalable machine learning infrastructure to automate and optimize our ML services, • Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations, • Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment, • This role will require an active security clearance or the ability to obtain a security clearance., • Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment, • Solid background in algorithms, data structures, and object-oriented programming, • Strong programing skills in Python, experience in Tensorflow or PyTorch, • Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization, • Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments, • Experience with computer vision, generative AI models, large language models, or agentic systems About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead (TL) for our next generation of deep research agents for the Enterprise. This high-impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency. The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. Technical Leadership & Vision • Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI's overall AI strategy and business goals., • Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities., • Core Agent Capabilities Development:, • Advanced Knowledge Retrieval: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises., • Data analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas., • Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base., • Architecture & Design: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale., • Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth., • Recruiting & Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team., • Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions., • Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience., • 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment., • 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain., • Deep expertise in Generative AI and Large Language Models (LLMs)., • Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale., • Experience with large-scale distributed systems and real-time data processing., • Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field., • Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization., • Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms., • Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems., • Experience with vector databases and advanced retrieval techniques., • A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD)., • Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations. About This Role This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale's data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions. Ideally, you'd have: * Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes. * A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.). * At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning. * Strong written and verbal communication skills, along with the ability to work effectively across teams. Nice to have: * Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX. * Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents. * Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar. * Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH. * Proficiency in cloud-based ML development, with experience in AWS or GCP environments. Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. We do not conduct LeetCode-style problem-solving assessments. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000—$315,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale is looking for a Senior Data Analyst to help advance AI development in the Generative AI sector. This role will partner with leadership, operators, and engineers in our Growth Operations team to help unpack ambiguous problems and build lasting, scalable analytics solutions. Your work will directly evolve how Scale operates and measures its growth strategies, funnels, and pipelines. The ideal candidate is detail oriented, rigorous about validating results, talented at distilling down complexity, and loves tackling and solving hard problems. • Build scalable data assets (dashboards and underlying data models and workflows) to unlock reliable data analytics and insights for growth leads, • Add contextual layer to data to enable and educate stakeholders on leveraging new data assets that you create, • Be a proactive partner to your business stakeholders and provide insights and conclusions rather than just data outputs, • Be a thought partner with the broader Growth organization to simplify and improve existing data assets, • Deploy AI agents to streamline analytics, creating self serve capabilities, • Tackle business critical questions by developing hypotheses and testing and iterating on interim results, • Partner with Data Engineers, Data Scientists, and cross-functional stakeholders to develop business metrics to understand our current performance and influence our roadmaps, • 3+ years of industry experience in a highly analytical role, • Degree in a quantitative field (e.g., Math, Stats, Engineering), • Expert-level proficiency in writing complex, highly-optimized SQL queries across large datasets., • Expert knowledge in using and communicating through BI tools like Tableau, • Working knowledge of Python and associated data libraries, • Excellent communication and presentation skills to executives About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale plays a vital role in the development of AI applications. Our customer base is growing exponentially, and you will be on the front lines, ensuring that the world's most innovative companies become passionate, lifelong Scale customers. Solutions Engineers partner closely with AEs, Product, and MLEs to lead prospective customers through pre-sales, delivering customized demos and pilots to secure the "technical win". Solutions Engineers scope customer technical requirements and develop an actionable SOW. They will work closely with the delivery team to help with initial implementation. Solutions Engineers are relentlessly curious about customer needs and pain points. They employ their expert Scale product knowledge and GenAI knowledge to design solutions that best address these needs. Solutions Engineers are strong relationship builders, great project managers, and provide technical expertise. You will: • Partner with Scale AEs on the customer journey, delivering tailored demos and prototypes according to the customer's requirements., • Develop technical domain expertise in Generative AI / large language model applications for Enterprise use cases, including customers in financial services, insurance, SaaS, and similar enterprises., • Be accountable for securing the "technical win" by unblocking technical challenges, • Interact with customers daily to understand their needs and design solutions to better serve them., • Design and develop "Scopes of Work" by breaking down customer challenges into a project plan, • Work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage, • Work with AEs and PMs to identify customer-specific feature requests., • Strong engineering background with prior experience working with clients in a pre or post-sales capacity to realize business goals., • Prior experience developing with Python, Java and/or other web development languages., • Experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement., • A track record as a self-starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership., • Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers., • High level of comfort communicating effectively across internal and external organizations., • GenAI Experience, • Forward deployed engineering experience About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale's LLM post-training platform team builds our internal distributed framework for large language model training. The platform powers MLEs, researchers, data scientists, and operators for fast and automatic training and evaluation of LLMs. It also serves as the underlying training framework for the data quality evaluation pipeline. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely with Scale's ML teams and researchers to build the foundation platform which supports all our ML research and development works. You will be building and optimizing the platform to enable our next generation LLM training, inference and data curation. If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you! • Build, profile and optimize our training and inference framework., • Collaborate with ML and research teams to accelerate their research and development, and enable them to develop the next generation of models and data curation., • Research and integrate state-of-the-art technologies to optimize our ML system., • Passionate about system optimization, • Experience with multi-node LLM training and inference, • Experience with developing large-scale distributed ML systems, • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc., • Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc., • Strong written and verbal communication skills to operate in a cross functional team environment., • Demonstrated expertise in post-training methods and/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000—$315,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

As Scale's product portfolio and customer base expand, we are seeking skilled DevOps Engineers, Public Sector to be at the forefront of building out and enhancing our CI/CD pipelines. You will play a crucial role in streamlining our Software Development Life Cycle (SDLC) through collaborative efforts, moving us from a state of manual, disparate deployments to a more unified and automated system. These engineers will gain a deep understanding of our core products' architecture and composition, enabling them to effectively deploy and manage these systems when needed. A critical aspect of this role will be seamlessly integrating various machine learning (ML) tasks and updates into our SDLC, transforming currently separate ML components into a cohesive and automated workflow. While direct ML expertise is not required, a desire to learn and integrate ML components into the lifecycle is essential. You will: • Design, develop, and maintain robust CI/CD pipelines to automate the deployment of our lowside and highside products., • Collaborate closely with product and engineering teams to enhance existing application code for improved compatibility and streamlined integration within automated pipelines., • Contribute to the overall architecture and design of our deployment systems, bringing new ideas to life for increased efficiency and reliability., • Troubleshoot and resolve complex deployment issues, ensuring minimal disruption to development cycles., • Develop a deep understanding of our product and ML architectures to facilitate seamless integration and deployment., • Document pipeline processes and configurations to ensure maintainability and knowledge transfer., • Proactively incorporate security best practices into all stages of the CI/CD pipeline, building security into our development processes., • 2-3 years of experience as a DevOps Engineer, DevSecOps Engineer, Software Engineer with a strong focus on CI/CD, or a similar role., • Proven track record of building or significantly enhancing CI/CD pipelines., • Experience configuring and adapting application code to integrate seamlessly with evolving CI/CD environments., • Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc., • Familiarity with cloud platforms (e.g., AWS, Azure, GCP)., • Strong proficiency in scripting and automation (e.g., Python, Bash, PowerShell)., • Familiarity with various CI/CD platforms (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps)., • Knowledge of software architecture, system design, and version control systems., • Comfort with rapidly changing, fast-paced environments and a passion for finding automated solutions to complex problems., • Basic understanding of security best practices in software development and an eagerness to integrate them., • A hunger for learning new technologies, particularly in the realm of integrating ML into automated workflows., • Strong problem-solving, analytical, collaboration, and communication skills., • Experience with containerization technologies (e.g., Docker, Kubernetes)., • Exposure to machine learning lifecycles or MLOps concepts. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. About Sales Strategy & Operations As a Sales Strategy & Operations (SS&O) team, our mission is to power sustainable revenue growth for Pinterest with datadriven strategic insights and decision making, tight management against them and highimpact revenue management. We inform critical business decisions driving revenue growth, so team members are highly visible to senior Sales leadership at Pinterest and throughout the organization at large. This role sits within the SS&O team supporting Programmatic Sales, partnering closely with the VP, GM Programmatic Ads Sales and Programmatic Sales leadership to shape and scale a priority growth business for Pinterest. What You'll Do: Reporting to the Senior Director of Sales Strategy & Operations for Agency & Programmatic, and in close partnership with the VP, GM Programmatic Ads Sales, you will develop and bring to life datadriven strategies to accelerate growth in this critical business vertical. In this role, you will: * Own development of the sales gotomarket strategy for Programmatic Sales - including customer segmentation, ideal customer profiles, bookofbusiness design, coverage models, sales priorities, and annual planning for Programmatic sellers. * Lead the analytics and forecasting engine for Programmatic Sales by designing and maintaining revenue forecasts, pipeline and coverage models, performance scorecards, and forwardlooking views that help leadership make fast, datadriven decisions. * Build and manage core reporting and dashboards (in partnership with Data, Finance and BizOps) that surface clear, actionable views of programmatic performance across regions, channels, partners, and products - and continually refine these based on stakeholder needs. * Run recurring business review cadences (e.g., weekly performance reviews, monthly/quarterly business reviews) for Programmatic Sales - owning the narrative, analyses, materials, and followup to drive accountability and execution. * Translate complex data into clear stories and recommendations for Sales and executive stakeholders, including diagnosing performance drivers, identifying opportunities and risks, and proposing concrete actions for sellers, leaders, and XFN teams. * Design and refine sales processes and workflows as new programmatic products, deal types and partners are launched and as new acquisitions are integrated - ensuring Programmatic Sales has clear ways of working, robust documentation, and measurable outcomes. * Partner with crossfunctional teams (Finance, Product & Engineering, Product Marketing, BizOps, Client Solutions) to define strategy and operating details for Pinterest's programmatic offering as it evolves, ensuring Sales input is grounded in data and market reality. * Identify and test new growth opportunities through structured experiments and analyses (e.g., pricing tests, new motion pilots, coverage and incentive changes), and operationalize successful approaches at scale. * Drive standardization and scalability by codifying best practices, creating reusable analytics and tooling, and aligning on shared metrics and definitions across Programmatic Sales and broader Sales orgs. • AI native / AI first instincts: Candidates are expected to use internal AI, agentic tooling as a default first step for problem-solving, research, and answering sales/operaitonal questions before escalating to humans, • Apply AI for data analysis and insight generation: leverage AI tooling to simplify and speed up data analysis and insight generation. Ensure strong understanding of AI outputs and connection back to data sources of truth and validating AI outputs, • Standardize and automate workflows using AI tooling: documenting and improving recurring sales processes, building templates, checklists, and lightweight "miniagents" or scripts that remove manual work from planning, reporting, and sales operations 7+ years of professional experience in strategy & operations, analytics, or similar fields in a fastpaced, highly analytical environment (e.g., management consulting, investment banking, tech/media, or revenue/sales strategy & operations). * Direct experience in programmatic or digital advertising (publisher, platform, agency, ad tech, or consulting), with a solid understanding of SSPs/DSPs, deal types, and the broader programmatic ecosystem. * Exceptional analytical and quantitative skills - you are comfortable working with large, complex datasets, building models and forecasts, and stresstesting assumptions to arrive at sound, datadriven recommendations. * High data fluency and tool comfort - advanced proficiency in Excel/Sheets and data visualization tools (e.g., Tableau, Looker) is expected; familiarity with SQL and querying large datasets is a strong plus. * Proven experience building metrics frameworks, dashboards, and reporting that help senior leaders quickly understand business performance and make decisions, including owning definitions, documentation, and change management. * Demonstrated ability to partner closely with senior sales leaders (Director/VP+) to define strategy, build annual and quarterly plans, forecast revenue, and drive accountability against goals. * Strong structured problemsolving skills and comfort driving decisions in ambiguous, evolving situations where goals, data, or processes are not yet fully defined. * Excellent communication and storytelling skills - able to synthesize complex analyses into clear narratives, build compelling materials, and influence crossfunctional partners and senior stakeholders who may not be in your direct line of control. * Organized, detailoriented and strategically focused, with a track record of driving measurable impact in complex, matrixed, and fastmoving environments. • Can explain examples of using AI to structure ambiguous problems, generate hypotheses, or explore "whatif" scenarios (e.g., coverage models, segmentation, capacity planning)., • Has used AI tools (Claude/Gemini/Codex, SQL or analytics copilots) to query data, build models, or QA numbers in an SSO environment (revenue forecasts, CRM activity logs, sales pipelines), • Has built agentic or automated workflows using AI tooling or low/no-code workflow automation tools (Zapier, Move, Airtable). Can explain what good looks like for AI prompting and Agentic Workflow setups Bachelor's degree in a relevant field such as business, economics, statistics, engineering, or a related field, or equivalent practical experience. InOffice Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection., • This role will need to be in the office for inperson collaboration at least one day per week and therefore needs to be within a commutable distance from the Los Angeles, Chicago, New York, or Seattle offices. Relocation Statement: • This position is not eligible for relocation assistance. Visit our___ page to learn more about our working model. #LI-HYBRID #LI-AT6 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$132,298—$272,377 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

Scale AI is seeking a highly motivatedRevenue Operations Manager to join our fast-paced team. This individual will be at the intersection of Finance, Engineering, and Sales, gaining exposure to complex consumption-based billing models and the operational infrastructure of the Generative AI industry. In this role, you will have the unique opportunity to build sustainable, scalable systems that directly enable Scale's rapid growth. We are looking for a technically-minded, self-starting problem solver who is passionate about using data to drive operational excellence. • Oversee and ensuring the accurate tracking of all customer-facing work across all of our Generative AI customers., • Utilize strong analytical and SQL skills to investigate root cause revenue discrepancies through performing large data reconciliations, propose solutions, and collaborate with relevant teams to implement corrective actions., • Contribute to the development of more automated and scalable consumption tracking solutions. Collaborate with cross-functional teams to streamline processes, identify areas for automation, and implement tools and systems to enhance efficiency., • Lead collaborative work across multiple members of the team and cross functional partners from operations and engineering who are responsible for day-to-day support of all of Gen AI revenue and billing., • 3+ years of professional experience in an analytical role top-tier public accounting firm, consulting firm, or tech company., • An undergraduate and/or graduate degree with an analytics-heavy major (e.g., STEM, economics, computer science, accounting, etc.)., • Experience working with financial data and reconciling large data sets., • Comfort working in ambiguity in a fast-paced work environment., • Excellent communication skills, both written and verbal, with the ability to present complex concepts and insights to stakeholders at various levels., • Strong quantitative skills and the willingness to dig into data. Strong SQL experience is a must. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Presidio, Where Teamwork and Innovation Shape the Future AtPresidio, we're at the forefront of a global technology revolution, transforming industries throughcutting-edge digital solutions and next-generation AI. We empower businesses-and their customers-to achieve more through innovation, automation, and intelligent insights. The Role: Client Principal Architect A Presidio Client Principal Architect, Digital and Cloud Migration Services for State and Local Government and Education (SLED) leads presales discovery, analysis, architecture, design, proposals, and scope-of-work creation, translating customer requirements into outcome-focused solutions through direct client engagement with key SLED accounts in a region. Leveraging sharp business acumen alongside technical expertise, presales methodology, and strong relationships (clients, Presidio stakeholders, and vendor partners), the Principal Architect analyzes industry, customer, technical, and sales context to position solutions that deliver measurable, long-term value. This position will be based in the New England area and involve traveling to regional clients in New England area up to 50% of the time. Who You Are: A Consultative Mind: You have a natural curiosity to understand a client's business first, before ever discussing a technical solution. Real Executive Presence: You know how to command a room, build consensus, and make complex ideas feel simple to C-level stakeholders. An Orchestrator: You're a master at leading matrixed teams. You know your job is to be the quarterback for our specialists, not the hero who does it all. Resilient and Gritty: You run towards the tough challenges and can navigate ambiguity without losing focus. Inventing Tomorrow: You are committed to building a premier AI and Digital consultancy that blends design thinking, deep client partnership, and cutting-edge technology to deliver measurable business value. Responsibilities include: • Drive Digital and Cloud Migration Services Sales. In partnership with sales teams, formulate and execute a technical sales strategy to exceed revenue objectives through the adoption of Presidio Digital and Cloud Migration Services - application modernization, application development, software development lifecycle (SDLC), artificial intelligence (AI), data estate and platform modernization, and cloud migration., • Understand Customer Current State.Proactively drive discovery and understanding of customer IT current state, goals, outcomes, and initiatives across Business, Technical, Operational, and Financial facets. Research industry trends and topics and develop discovery approaches. Develop and lead workshops to drive relevant discovery. Document customer current state to assist customer and sales teams target future state architectures and roadmaps., • Technical Account Leadership.Serve as the technical lead for all client projects and workstreams for relevant services. Oversee architecture and design decisions across multiple domains such as, (but not limited to), AWS, Snowflake, Tableau, Informatica, and modern data platforms. Facilitate alignment between Presidio teams and client leadership to ensure unified strategy and execution. Act as executive-facing technical advisor, engaging confidently with C-suite stakeholders. Build consensus across diverse stakeholder groups, from ICs to executives. Lead strategic roadmap discussions and present Presidio's POV on emerging trends (AI, Cloud, Data). Actively participate in client account related activities that establish the role as a trusted advisor internally and with customers, such as: Account planning, EBCs, social events, etc., • Technical Opportunity Leadership. Lead opportunities for relevant services to achieve technical win of Presidio services solutions. Identify customer stakeholders and their individual success criteria and needs. Create and lead technical solution approaches and next steps aligned to customer stakeholders. Align, vet and coordinate Presidio technical resources as needed. Engage Manager/VP/Director level at clients directly. Ensure solutions adhere to industry standards and SLED compliance requirements., • Practice Delivery Engagement. Actively participate as a liaison between customers, sales and delivery resources to ensure customer success. Lead the collaboration with delivery engineering on driving quality and properly risk managed solutions and associated formal scopes of work. Understand and be able to speak to technical details and updates from Solution Owners, Project Managers, Delivery Leads and Presales Architects, • Solution Architecture, Design and Documentation. Analyze and assess client requirements and determine target services approach, solutions, and roadmaps. Create and deliver compelling technical proposals directly to clients, including relevant drawings, diagrams and analysis., • Technical Excellence & Evangelism.Maintain a high level of technical excellence and evangelism across multiple relevant solution architecture and product areas. Lead the curation and delivery of relevant technical knowledge, presentations, and conversations at all client levels and customer related events. Actively participate in technical champion programs and communities. Attain certifications when appropriate. Learn, discuss and present new and emerging relevant topics to internal stakeholders and clients., • Team Engagement and Enable Culture.Engage Presidio team members, actively participate in team activities, and contribute on collaboration tools to drive an open, positive, inclusive, resilient, change-orientated team culture. Be a steward of the PRESIDIO CORE VALUES -Excellence, Forward-Thinking, Accountability, One Presidio., • Partner Relationships.Develop working relationships with vendor partner teams and peers, prioritizing the hyper-scaler cloud solutions and relevant ecosystems. Contribute to and drive execution of relevant partner vendor GTM strategies., • Continuous Improvement & Innovation. Actively plan and execute growth and career development activities. Seek and collaborate on improvements to presales processes and GTM., • Enable Others.Contribute to the success of others in sales and presales. Actively mentor and enable others. Share methods, content, and lessons learned with others., • Bachelor's degree or equivalent experience and/or military experience, • Overall 10+ years of relevant experience, • 7+ years of presales, architecture, design, implementation, and/or consulting in digital and/or cloud technologies, • 5+ years of specific domain experience in one or many of the following: application modernization, application development, software development lifecycle (SDLC), artificial intelligence (AI), Generative AI (GenAI), data estate modernization and modern data platforms, and/or cloud migrations, • 7+ years of experience in in designing technical solutions for State, Local Government and Education (SLED), • 5+ years hands on experience with Amazon Web Services (AWS) technologies, • Demonstrated comfort leading practitioner level presentations, solution demonstrations and whiteboard sessions, • Demonstrated comfort leading CIO/CTO level presentations, solution demonstrations and whiteboard sessions, • Aptitude for consultative presales: be curious and creative, • Growth mindset and drive for trying new ideas and actively seek mentoring and coaching, • Collaborative style and the ability to work with diverse set of stakeholders, • Expert time management and ability to set expectations in a timely manner, • AWS Solution Architecture level certifications Expe, • rience in delivering modern application architectures such as micro services, event driven architectures, and cloud native application frameworks, • Experience in software engineering or code development, • Experience with artificial intelligence (AI) solutions and deployments - including LLMs, GenAI methods (RAG, etc) , agentic frameworks (LangGraph, AutoGen, crewAI, Agent Core, etc), AI workflow low code/no code tools (n8N, Copilot Studio, etc), • Experience with reviewing and/or writing statements of work (SOW), • Experience and/or ability to prepare RFP/RFI response, proposals, and solutions Here,your impact is real.Whether you're harnessing the power ofGenerative AI, architecting resilientdigital ecosystems, or drivingdata-driven transformation, you'll be part of a team that is shaping the future. Ready to innovate? Let's redefine what's next-together. About Presidio At Presidio, speed and quality meet technology and innovation. Presidio is a trusted ally for organizations across industries with a decades-long history of building traditional IT foundations and deep expertise in AI and automation, security, networking, digital transformation, and cloud computing. Presidio fills gaps, removes hurdles, optimizes costs, and reduces risk. Presidio's expert technical team develops custom applications, provides managed services, enables actionable data insights and builds forward-thinking solutions that drive strategic outcomes for clients globally. For more information, visit . Applications will be accepted on a rolling basis. Presidio is an Equal Opportunity / Affirmative Action Employer / VEVRAA Federal Contractor. All qualified candidates will receive consideration for this position regardless of race, color, creed, religion, national origin, age, sex, citizenship, ethnicity, veteran status, marital status, disability, sexual orientation, gender identification or any other characteristic protected by applicable federal, state, and local statutes, regulations, and ordinances. To read more about discrimination protections under Federal Law, please visit: If you have any difficulty using our online system and need an accommodation in the job application process due to a disability, please send an email to for assistance. Presidio is a VEVRAA Federal Contractor requesting priority referrals of protected veterans for its openings. State Employment Services, please provide priority referrals to . Notice to Massachusetts Candidates: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Recruitment Agencies, Please Note: Presidio does not accept unsolicited agency resumes/CVs. Do not forward resumes/CVs to our careers email address, Presidio employees or any other means. Presidio is not responsible for any fees related to unsolicited resumes/CVs. #LI-JM3 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

Position Summary Candid is a nonprofit that provides the most comprehensive data and insights about the social sector. We get you the information you need to do good. Candid currently has an opportunity for a Senior Manager, Data Enrichment and Annotation. The Senior Manager of Data Enrichment and Annotation will help drive Candid's efforts to transform raw data into the structured knowledge that powers our products and supports our users' decision-making. They will lead the team responsible for organizing complex information about grants and organizations, managing the creation and application of the taxonomies and frameworks that enable Candid to surface meaningful insights. Working at the intersection of domain expertise and technical implementation, they will partner with subject matter experts, product staff, and data science to create knowledge systems that serve both human users and AI applications. Position: Senior Manager, Data Enrichment and Annotation Reporting to: Senior Director of Data Supervises: Grants Analyst & Collection Manager, Data Discovery Manager Schedule: 35-hour work week, Monday through Friday Compensation: $145,000 - $170,000 (this range is for the NYC area and will be adjusted for other localities; additionally, factors like skills and experience will be considered). Location: Remote. In-person attendance is expected twice per year during our annual, weeklong all-staff summits. Additional in-person meeting participation is expected at least once per quarter for senior leaders and at least once per month for the executive team. Staff not located in the NYC area are expected to travel for these meetings. Benefits: Health insurance (medical, dental, vision), retirement contribution with additional option for a match, paid life insurance and AD&D, paid leave time (PTO, compassionate leave, volunteer, holiday, parental), short-term and long-term disability, pre-tax transit, flexible spending accounts, supplemental insurance, summer hours, and Public Service Loan Forgiveness (PSLF) program eligible employer. Responsibilities • Lead the team that manually codes grants and organizations using Candid's taxonomy, the Philanthropy Classification System, with a focus on scaling operations and improving classification accuracy and consistency., • Partner with subject matter experts to develop and maintain additional ontologies, taxonomies, and semantic models that enable knowledge representation and reasoning across applications, including AI applications., • Design and implement quality control processes and metrics to ensure coding quality and strong inter-rater reliability, including guidance for handling ambiguous edge cases., • Monitor and address data quality drift, including maintaining annotator calibration and detecting shifts in labeling standards over time., • Collaborate with Candid's data science team to evaluate AI models (including LLMs) used for autocoding tasks., • Coordinate efforts to generate the training data needed to build effective AI/ML solutions., • Build strong relationships with key teams across Candid to understand how knowledge engineering can support their needs and advance desired outcomes. Requirements • 7+ years of experience in taxonomy development, data annotation operations, knowledge management, or related fields, • 3+ years managing teams that perform manual data coding, classification or annotation work, • Proven experience designing and implementing taxonomies, ontologies, or classification systems used across multiple applications, • Experience designing annotation guidelines or codebooks that achieve high inter-annotator agreement, • Demonstrated ability to balance quality with throughput when scaling coding operations, • Demonstrated ability to translate complex domain knowledge into structured frameworks, • Experience working cross-functionally with technical teams, product managers, and subject matter experts, • Excellent communication skills across technical and non-technical audiences, • Experience with AI/ML applications and their use in classification or coding tasks, • Familiarity with semantic web technologies, knowledge graphs, or linked data, • Experience with data annotation and training data generation for machine learning models, • Background in the nonprofit or philanthropic sector a bonus, • Willingness to perform other duties and special projects as needed/requested., • Sensitivity and respect for racial, gender, sexual orientation, and cultural differences., • Champions and represents Candid's core values: We're driven, direct, accessible, curious, and inclusive. Candid's mission is to get you the information you need to do good. The world's problems are only growing, and change can't wait. Nonprofits are needed now more than ever, but all too often their work goes without adequate support. Candid makes it easier and faster for nonprofits and funders to connect in pursuit of solutions to change the world. Candid is where nonprofits find grants, donors find nonprofits that inspire them, and all can gain insights about the work being done for good. Candid is a qualifying nonprofit organization as defined by the Public Service Loan Forgiveness Program. As such, Candid employees may claim their employment time on their PSLF application. We offer a competitive salary and excellent benefits. Due to the high volume of applicants we typically receive, we regret that we can only contact candidates we would like to interview. For more information on positions available at Candid, please visit our website: ___ Candid is an equal opportunity employer. Candid provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

We are seeking a strategic, technically strong Director of Decision Science to lead our Data Science and Business Intelligence teams. In this role, you will set the vision, guide a high-performing team, and drive Data Science and BI initiatives that influence decisions across the business. You will partner with cross-functional leaders to solve high-impact problems, elevate our self-serve BI capabilities, and embed data science into core business operations. This role reports to the VP of Data & Analytics. What You'll Do * Vision and Strategy Leadership: Define and own the multi-year Data Science and BI strategy and roadmap, ensuring direct alignment with enterprise priorities and quantifiable business outcomes (e.g., revenue growth, operational efficiency) * Team Leadership & Development: Recruit, mentor, and manage a high-performing, multi-disciplinary team of Data Scientists, BI Analysts, and BI Engineers, establishing a culture of innovation, operational excellence, and continuous professional development * Strategic Business Partnership: Act as the primary analytic partner to business unit leaders (Sales, Product, CS, Marketing, etc.) to define and deliver high-impact, decision-support data products, including predictive models and AI-powered self-service insights * Analytical Translation: Translate complex, ambiguous business challenges into structured analytical strategies, guiding teams to deliver high-quality, decision-ready solutions * Agile Delivery & Model Lifecycle: Drive an agile, iterative delivery process and oversee end-to-end predictive model lifecycle management, from ideation and validation through scalable deployment, monitoring, and optimization * Executive Communication & Storytelling: Communicate clear, actionable, and data-driven recommendations to all audiences, including senior and executive leadership, shaping strategy through compelling, tailored narratives * Data Platform Collaboration: Collaborate closely with Data Engineering and Analytics Engineering to design and scale enterprise data assets, features, and metrics that meet evolving analytical needs * Governance & Responsible AI: Establish and enforce best practices for metrics design, experimentation, and data governance. Champion data ethics, compliance, and responsible AI standards to promote transparency and trust * Enterprise Data Strategy: Partner with leaders across Data Platform, Data Product Management, and Data Governance to develop and execute the overarching Enterprise Data Strategy What You'll Need Minimum Qualifications * 8+ years of experience in Data Science, Machine Learning, or related analytical fields, including 3+ years leading high-performing technical teams * Advanced degree (MS/PhD) in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research, or similar) * Demonstrated ability to translate ambiguous business problems into analytical frameworks and deliver measurable business impact * Experience in SaaS or B2B environments, especially where data products directly enable go-to-market, customer success, or product strategy * Hands-on experience deploying and operating ML models in production, including monitoring, optimization, and lifecycle management Preferred Qualifications * Deep expertise in statistical modeling, causal inference, experimentation design, and applied analytics to drive business decisions * Strong familiarity with modern data ecosystems, including cloud data warehouses (Snowflake, BigQuery), data modeling best practices, orchestration tools, enterprise BI platforms (e.g., Looker, Tableau, Sigma), and MLOps/ML lifecycle platforms * Experience building or applying NLP, recommendation engines, forecasting models, or other advanced analytical solutions * Strong programming skills in Python and proficiency with modern ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) * Demonstrated ability to design, govern, and scale standardized metrics, dashboards, and self-service BI workflows across business functions * Exceptional communication and stakeholder-management skills, with the ability to influence senior leaders and simplify complex concepts for diverse audiences * Proven success in hiring, developing, and scaling technical talent across Data Science and BI disciplines Working Conditions & Travel Requirements * Ability to travel to meet with customers and/or key stakeholders, product teams in other Workiva locations (up to 25%) * Reliable internet access for any period of time working remotely, not in a Workiva office How You'll Be Rewarded Salary range in the US: $177,000.00 - $284,000.00 A discretionary bonus typically paid annually Restricted Stock Units granted at time of hire 401(k) match and comprehensive employee benefits package The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email ___. Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards. Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment. #LI-LP1

With more than 100 years of experience, Sika is a worldwide innovation and sustainability leader in the development and production of systems and products for commercial and residential construction, as well as the transportation, marine, automotive, and renewable energy manufacturing industries. Sika has subsidiaries in 102 countries around the world and, in over 400 factories, produces innovative technologies for customers worldwide. In doing so, it plays a crucial role in the transformation of the construction and transportation sector toward greater environmental compatibility. With more than 34,000 employees, the company generated sales of CHF 11.76 billion in 2024. Job Description • Visit cement plants, building strong relationship with the cement market., • Regular communication with Company’s Director of Cement Additives and Company’s Technical Service., • Follow closely on-site field trials., • Jointly work with commercial/technical team to understand the customer requirement, and making adjustment of products to support existing business and capture new market opportunities to grow the business., • Jointly work with commercial team to gather market intelligence to better understand industry trend and competitors. Working with Product Management to develop new product to grow and improve profitability of the business., • Develop and regularly update competitors’ product database to support commercial growth., • Develop, implement, and manage customer complaint process to make sure all complaints are well taken care, timely response to customers, and high degree of customer satisfaction is achieved., • Provide value added service to customer – seminar, technical presentation, on site troubleshooting., • Serve as the technical expert to SIKA’s customers by troubleshooting technical issues at the Cement Plant, demonstrating Sika’s product capabilities, recommending solutions and serving as Sika’s representative in technical proposals to the customers. Provide first level of field troubleshooting to customers., • Promote safety working environment and commit to achieve zero accident target., • Report to Direct Manager on activity, market, competition, key projects, trials. Qualifications • Diploma / University degree in engineering (preferably chemical engineer), • 3-5 years hands-on field experience in Cement Industry, • Strong relevant industry and segment knowledge & network, • Strong technical aptitude and willingness to learn and apply knowledge, • A self-starter, excellent time and self-management, require minimum supervision, • Ability to work independently and willing to travel on a frequent basis, • Excellent customer relationship management skill, • Ability to influence and lead multi function to achieve goals, • Good communication and team player Additional Information · 401k with Generous Company Match · Bonuses · Medical, Dental, and Vision Benefits · Paid Parental Leave · Life Insurance · Disability Insurance · Paid time off, paid holidays · Floating holidays + Paid Volunteer Time · Wellness/Fitness Reimbursements · Education Assistance · Professional Development Opportunities · Employee Referral Program & More! Sika fosters a culture of entrepreneurship, empowering each individual to make decisions, learn from experiences, and shape their own career path. The safety and well-being of employees are top priorities at Sika, with a strong commitment to open communication and maintaining a safe workplace. In addition, Sika actively contributes to the community and promotes sustainability by giving back, minimizing environmental impact, and embracing social responsibility. Sika Corporation is committed to a work environment that supports, inspires, and respects all individuals that apply. As an equal opportunity employer Sika will consider all qualified applicants without discrimination on the basis of race, color, religion, sex, pregnancy, sexual orientation, gender identity, age, disability, national or ethnic origin, or other protected characteristics. We offer competitive salaries, aligned with local market benchmarks and the specific scope and responsibilities of each role. Compensation is determined based skills relevant to the position, education and/or training. We are committed to fair and equitable pay practices in accordance with applicable laws and regulations.

Job Description Crosby Street Hotel, part of the award-winning Firmdale Hotels group, is seeking a skilled and reliable Maintenance Engineer to support the day-to-day engineering operations of our luxury hotel. This role is responsible for maintaining the highest standards of safety, comfort, and functionality throughout guest rooms, public areas, restaurant spaces, and back-of-house facilities. The Maintenance Engineer will perform routine maintenance, preventative maintenance, and repairs across multiple trades, including HVAC, electrical, plumbing, carpentry, and kitchen equipment, while delivering prompt and professional service. Key Responsibilities • Support the Chief Engineer with the overall maintenance and engineering operations of the hotel, restaurant, and surrounding grounds, • Perform general maintenance and repairs in guest rooms, suites, meeting spaces, restaurant areas, and common areas, • Conduct routine inspections and walk-throughs, updating logs and promptly reporting issues requiring immediate attention, • Execute daily, weekly, and monthly preventative maintenance programs and checklists, • Monitor, maintain, and service engineering systems and equipment, including:, • HVAC systems (boilers, chillers, air handling units, water pumps, exhaust fans), • Replacement of filters, belts, bearings, fans, insulation, and drain pans, • Troubleshoot and repair door locks, lighting systems, televisions, phones, and related guestroom equipment, • Perform basic repairs related to plumbing, electrical systems, carpentry, and kitchen equipment, • Maintain a clean, safe, and organized work environment at all times, • 2–5 years of maintenance or engineering experience, preferably within a hotel or hospitality environment, • Working knowledge of HVAC/R, electrical, plumbing, and general building maintenance systems, • Computer literate, with experience using Building Management Systems (BMS) preferred, • Familiarity with HOTSOS or similar maintenance management systems preferred, • Excellent verbal and written English communication skills, • Ability to remain calm, organized, and professional under pressure, • Strong time-management skills with the ability to prioritize multiple tasks, • Physically capable of lifting, carrying, and handling equipment safely, • Relevant trade certifications and/or specialized training preferred, including:, • Fire Safety Director, • Paid vacation, sick, and personal days, • Medical, dental, vision, and life insurance plans, • Commuter benefits, • Employee meals while on duty, • In-house uniform dry-cleaning services, • Holiday staff parties and employee appreciation events, • Departmental and company-wide incentive programs

Job DescriptionHotel Engineer Now is your opportunity to become part of an extraordinary team. You bring your passion and hospitable personality and we’ll bring the good vibes. We are seeking an engaged and experienced General Mechanic (Hotel Engineer) to join our Engineering Team in providing exceptional customer service and exceptional experiences to our guests Responsibilities include, but are not limited to: * Ability to build ensure professional and informative interactions with all guests and staff members alike * Precisely and effectively complete all allocated work orders every day or report inadequate orders to the Director for rescheduling * Comply with Hotel processes to effectively perform all maintenance, installation, or repair as needed * Experienced with Painting, Spackle, Light plumbing and electrical * Ability to use ladders of different styles; complete work at elevated areas * Complete tasks on/around rooftop areas, chillers, water towers, etc. * Strong working knowledge of hand and power tools * Working in tight spaces * Ensure all hotel equipment is maintained and repaired as needed for full functionality * Follow the most recent state and government legislative codes, laws, and prerequisites * Identifying issues, creating or providing solutions, take actions to ensure that guest- related issues are resolved promptly once received, and provide the best possible outcome for guest satisfaction * Ensure daily before shift ends to fill out engineering reports to record all that was completed on your shift or pass-on information for the next shift * Ensuring all job requests from all areas of the hotel are responded to in a timely and effective manner. * Collaborate with different departments like carpenter, electricians, overnight engineers, painter’s, outsourced contractors in finalizing, changing, altering, remodeling, fixing any area of the Hotel * Follow all safety guidelines of a fire safety director in the case of an emergencies * Ensure FSD logbooks are always up to date with current activities of the hotel * In case of emergencies, communicate with the fire department and monitor fire command station * Make announcements to the building in case of false alarms, tests or real emergencies as a FSD * Ensure boiler cleaning logs are always up to date and cleaned as necessary according to boiler guidelines * Precisely record equipment readings, meter readings and keep up exact logs in a clear and legible way * Ensure that guest room preventative maintenance is done according to procedures set forth by the Chief engineer whether weekly, monthly, or quarterly * Ensure guest room and public area filters are changed frequently as instructed by the Director Job Requirements * Previous hotel engineering experience preferred * At least 2 years of Hotel Engineering experience, preferably in a New York City Hotel * Strong working knowledge mechanical systems, painting/spackling light plumbing and light electrical * Great communication skills, professional demeanor and appearance * Ability to prioritize work, meet deadlines, and concentrate on detail in a fast-paced work environment * Must be able to follow basic safety procedures and precautions due to physical risks * Demonstrates interpersonal and communication skills, both written and verbal * Able to work in a team environment and welcome feedback and direction * Capable of standing for prolonged periods of time * Ability to frequently reach, bend, stoop, climb up and down stairs, walk, and carry multiple objects * Flexible schedule to include day shift, night shift, weekends and holidays Preferred Qualifications * Local candidates only * U.S. Citizenship/Work Authorization required * 2-3 years of experience as an engineer working in the service industry * FSD Certification a plus * Verbal and Written communication skills * Be able to speak, write and understand the primary language of the workplace * Ability to lift, push or pull 50 pounds * Proficiency in MS Office and possess basic computer skills * Be able to work Flexible shift if needed Education: * High school or equivalent (Required) * 2 Year/ 4 Year Degree from an accredited College/University (Preferred) License/Certification: * Relevant Advanced trainings and certifications preferred * FSD certification Equal Employment Opportunity employer. We are committed to extending equal opportunity in employment to all qualified candidates who can contribute to the diversity and excellence of our organization. We encourage applications from all qualified individuals without regard to race, color, religion, genetic information, sexual orientation, gender and/or gender identity or expression, marital or parental status, national origin, ethnicity, citizenship status, veteran or military status, age, disability or any other basis protected by applicable local, state or federal laws. Hiring is contingent on eligibility to work in the United States.

Job Description At Engine by Starling, we are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses, on our technology. Engine is Starling's software-as-a-service (SaaS) business, the technology that was built to power Starling, and two years ago we split out as a separate business. Starling has seen exceptional growth and success, and a large part of that is down to the fact that we have built our own modern technology from the ground up. This SaaS technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features, and efficient back-office processes that has helped achieve Starling's success. We are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses, on our technology. We are looking for future leaders to come and join our team, to build client relationships, and work with them to understand their needs and how we can solve them with Engine’s technology. Who are Engine by Starling Engine by Starling is transforming the banking landscape with our cutting-edge core banking software. Originally developed to power Starling, our cloud-native SaaS platform is now enabling banks and financial institutions globally to modernize operations and deliver exceptional digital banking experiences. We are headquartered in London with offices in Dublin, Sydney and Dubai. We've recently launched in North America where we are establishing an East Coast HQ, as well as our presence in Canada. This role will ideally be based in the New York metropolitan area, our preference is that you're located within a commutable distance. Other East Coast locations will be considered and the role will involve national and international travel. About the role We are seeking an entrepreneurial and versatile technology leader who can drive the localisation and implementation of Engine’s platform with North American clients, providing guidance and advice around Engine’s capabilities. You will also help shape Engine’s product for entry to the U.S. market and play a vital role in supporting Engine’s North American growth, contributing to growing the list of potential clients in the region as well as working closely with Product Management and Engineering to help shape Engine’s product roadmap to support these clients. The Client Solutions Director will operate as part of the NA leadership team, working closely with our President (North America), and Engine’s global Client Solutions leadership. The individual will help tailor our solution for the U.S. (priority) and Canadian markets and lead the technical aspects of client programmes from discovery through to build and the launch of new banks, underpinned by Engine. The role provides a unique opportunity to be a very early hire in the region and work across a number of phases of Engine’s client lifecycle: business development, client discovery and client implementation. You will develop strong relationships with our clients and implementation partners in North America and beyond We’re looking for a versatile, adaptable individual, who enjoys the challenge of a varied and collaborative role, with a strong product mindset. You’ll enjoy problem solving, getting to the detail, helping new clients launch successful new and modern propositions and businesses, and supporting our clients throughout their transformation journeys. What you'll get to do General Management and the day to day: • Operate as a key part of the NA leadership team and contribute to the success of establishing Engine in the US and Canadian markets with a compelling product and platform., • Maintain a global mindset, both learning from the global product & technology team and contributing findings to the global product roadmap for the benefit of all regions., • Build strong relationships both internally and within client and partner organisations, from establishing initial client relationships through to implementation, • Stay abreast of current product developments and innovations globally and apply to the North American market, • Help to grow our North American Solutions Architecture team, • You will be joining a fast growing team that works globally, and you should expect international travel., • As a company, everyone is expected to roll up their sleeves to help deliver great outcomes for our clients, we’re a small team and everyone is involved in the ‘doing’., • Our teams tend to be hands-on and work in an Agile way, but with the flexibility to adapt to different methodologies depending on the specific client implementation., • We are an engineering led company and we’re looking for someone who will be excited by the potential for Engine’s technology to transform banking in different markets around the world. Client Discovery & Delivery: • Collaborate with our product and engineering teams through the Discovery and Implementation phases to agree on product and platform requirements, • As Engine grows in North America, provide technical leadership on implementation programmes, using your technical and product knowledge to ensure successful implementations of the Engine platform., • Use your understanding of the Engine product and specific domain knowledge to present a clear and compelling solution to the client, • Work with prospects and clients, and with the broader North American Client Solutions team to identify and shape technical solutions to deliver a compelling and compliant product for the NA market. Business Development: • Support early stage conversations, client workshops and demos, helping to identify and qualify genuine opportunities and contribute to marketing activities and conferences in NA, • Drive strategic client opportunities including supporting commercial and contractual conversations, preparing for pitches, and other marketing activities like events and thought leadership. Your background • You have a strong, client-centric product mindset and have worked in client-facing roles in banking, consulting, or at a technology company (5+ years experience), • You have experience in the U.S. banking sector and development of solutions for the market, • You have experience leading the technical delivery of large-scale, complex programmes in financial services, • You can rapidly understand client problems and present solutions in a structured and informative manner, • You are excited by the potential for Engine’s technology to transform banking in the U.S. and Canada Your skills • You are inquisitive, curious and able to understand client issues, needs and concerns while building trusted relationships, • You can apply a structured approach to complex or ambiguous problems, • You have a technical aptitude and curiosity, • You are self-motivated and are able to work in a highly autonomous environment, • You are comfortable presenting to senior stakeholders, facilitating workshops and discovery sessions, • You can adapt your communication style to different stakeholders (senior clients, consulting organisations, engineering functions), • You are flexible in your approach to delivery. Our teams tend to be hands on and work in an Agile way, without being wedded to any particular methodology Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: • Interview with someone from the Client Services team, • Interview with further members of the Client Services team from NA and/or UK, • Medical, Dental, and Vision insurance plan options, • 401(k) with company match of 100% of the first 4%, • Company-paid Long-Term Disability, and Life and AD&D insurance, • Optional ancillary benefits such as Short-term Disability, Accident Insurance, Legal & ID Protection, and more, • 20 days annual vacation PTO and 11 Paid Holidays You may be put off applying for a role because you don't tick every box. Forget that! While we can’t accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren’t sure if you're 100% there yet, get in touch anyway. We’re on a mission to radically reshape banking – and that starts with our brilliant team. Whatever came before, we’re proud to bring together people of all backgrounds and experiences who love working together to solve problems. Engine by Starling is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Engine by Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Engine by Starling and Starling will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.

Job Description Hogsalt is seeking a Full Time Restaurant Maintenance Technician/ Handyman to support our current restaurants in New York City. We are seeking a skilled and reliable technician to join our team supporting three restaurants in Manhattan. The ideal candidate will possess a diverse skill set in commercial repairs and maintenance, demonstrating a proactive approach to problem-solving and a commitment to quality workmanship. This role requires a strong attention to detail and the ability to work independently or as part of a team. Benefits: * Medical insurance * 401(k) * Life insurance * Bonus opportunities * Vision insurance * Paid time off * Sick pay * Dining benefits * Dental Insurance * Training reimbursement * On-the-job training Experience & Qualifications: * Strong carpentry experience preferred * Minimum of 5-6 years in-field experience with commercial maintenance * Knowledge of kitchen equipment is preferred * Individuals with hotel maintenance experience encouraged to apply * Must have a valid driver's license * Some HVAC/R experience is a plus * Must be able to provide a reliable vehicle * Hogsalt covers on-duty parking expenses * Compensation for travel mileage Shift and Schedule: * Must be available to work up to 40 hours per week * Available to work one weekend day per week * 8-hour workday from 6am- 2pm is typical Job Responsibilities: * Perform repairs in the following areas. Some familiarity with associated manufacturers is preferred * Carpentry - Millwork and Furniture repair * Plumbing - Toto, Crown, Everpure, T&S * Electrical - Siemens, Square D, Eaton * Kitchen equipment - Rational, Jade, Pitco, Southbend * Drywall install and finishing * Works cleanly with Silicone and Caulk * Painting * HVAC/R * General restaurant maintenance * Respond to maintenance requests from restaurants in a timely fashion * Perform regular property inspections * Work well independently and on a team * Advise restaurant managers on technical engineering issues * Report to Facilities Director and Facilities Manager

Scale AI is seeking a highly skilled and motivated Mission Software Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale's government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows. You will: • Work directly with customers to understand their problems and translate those into features in Scale's platform., • Be open to >50% travel or relocation to a key customer geographic location., • Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back, • Deploy and maintain Scale software at customer sites, • Develop customer requested features and work closely with them to ensure that they win customer love., • Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • This role will require an active TS/SCI security clearance or the ability to obtain a security clearance. Ideally you have: • Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles., • Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus., • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Linux experience: Understanding of shell scripting, operating systems, etc, • Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc), • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Presidio, Where Teamwork and Innovation Shape the Future AtPresidio, we're at the forefront of a global technology revolution, transforming industries throughcutting-edge digital solutions and next-generation AI. We empower businesses-and their customers-to achieve more through innovation, automation, and intelligent insights. The Role A PresidioSr.Solutions Architect (Sr. SA)leads thepresalesdiscovery, analysis, architectures, designs, and proposals of relevant solutions that map to customer outcomes and requirements through direct client engagement. A Sr. SA effectively and efficiently leverages presales methodologies, technical acumen, key relationships (clients, internal Presidio stakeholders and vendor partners), and context analysis (Industry, Customer, Technical, Sales) to position and recommend solutions that that deliver long term value. Travel Requirements: In this role you will be expected to travel up to 25%. This is a remote position based in the United States. Job Responsibilities: • Understand Customer Current State.Proactivity drive discovery and understanding of customer IT current state, goals, outcomes, and initiatives across Business, Technical, Operational, and financial facets. Research industry trends and topics and develop discovery approaches. Develop and lead workshops to drive relevant discovery. Document customer current state to assist customer and sales teams target future state architectures and roadmaps., • Technical Opportunity Leadership.Identify customer stakeholders and their individual success criteria and needs. Create and lead technical solution approaches and next steps aligned to customer stakeholders. Align, vet and coordinate Presidio and vendor partner technical resources as needed. Engage Manager/VP/Director level at clients directly., • Solution Architecture, Design and Documentation. Analyze and assess client requirements and determine target architecture and design solutions (HW, SW, Licensing, Cloud services, Managed Services, Delivery Services, etc) and roadmaps. Create and deliver compelling technical proposals directly to clients, including relevant drawings, diagrams and analysis., • Technical Excellence & Evangelism.Maintain a high level of technical excellence and evangelism across multiple relevant solution architecture and product areas. Lead the curation and delivery of relevant technical knowledge, presentations, and conversations at all client levels and customer related events. Actively participate in technical champion programs and communities. Attain certifications when appropriate. Learn, discuss and present new and emerging technical and IT related topics., • Account Leadership.Activity participates in client account related activities that establish the Solution Architect as a trusted advisor internally and with customers, such as: Account planning, EBCs, social events, etc., • Team Engagement and Enable Culture.Engage Presidio team members, activity participate in team activities, and contribute on collaboration tools to drive an open, positive, inclusive, resilient, change-orientated team culture. Be a steward of the PRESIDIO CULTURE - Teamwork, Execution Excellence, Integrity and Forward-Thinking., • Partner Relationships.Develop working relationships with vendor partner teams and peers. Contribute to and drive execution of relevant partner vendor GTM strategies., • Continuous Improvement & Innovation. Actively plan and execute growth and career development activities. Seek and collaborate on improvements to presales processes and GTM., • Bachelor's degree or equivalent experience and/or military experience, • 7+ years of working experience in systems engineering or solution architecture, • 5+ years of experience with AWS including previous hands-on experience of migrating workloads to AWS, • Experience in a consulting role, • An understanding and knowledge of Cloud Migration frameworks and strategies, • An understanding and knowledge of Cloud adoption models and approaches, • Expert-level knowledge and experience with design, implementation and support ofone or moreof the following isrequired:, • Cloud Management Platforms: Service Now, Jira, Miro Focus Cloud Service Automation, VMware vRealize Automation, Cloudify, Morpheus, Cloudbolt, Turbonomics, • Compute and Storage Architectures & Platforms, • SDDC & Virtualization: VMware, Red Hat, HyperV, Nutanix, • Data Protection Platforms: Dell EMC, Rubrik, Veeam, Cohesity, Commvault, • Container platforms: Kubernetes, OpenShift, Rancher, Tanzu, • Infrastructure as Code Tools: Ansible, Terraform, Chef, Puppet, AWS CloudFormation, Azure Resource Manager, • Demonstrated comfort leading presentations, solution demonstrations and whiteboard sessions, • Knowledge and experience with design, implementation and/or support ofone or moreof the following ispreferred:, • Network Route & Switch, • Security, Compliance & Governance frameworks and tools, • CI/CD pipelines and tools: Jenkins, Concourse, • Authentication / Authorization, Directory services, • Agile practices and frameworks: Kanban, SAFe, Scrum, • Cloud platform certifications: Cloud Solution Architect with Azure, • Presales experience with a strong bias for action., • Program management or project management experience, • Experience driving complex multi-discipline IT projects, • Experience and/or ability to prepare RFP/RFI response, proposals and solutions, • Demonstrated comfort leading CIO/CTO level presentations, solution demonstrations and whiteboard sessions Here,your impact is real.Whether you're harnessing the power ofGenerative AI, architecting resilientdigital ecosystems, or drivingdata-driven transformation, you'll be part of a team that is shaping the future. Ready to innovate? Let's redefine what's next-together. About Presidio At Presidio, speed and quality meet technology and innovation. Presidio is a trusted ally for organizations across industries with a decades-long history of building traditional IT foundations and deep expertise in AI and automation, security, networking, digital transformation, and cloud computing. Presidio fills gaps, removes hurdles, optimizes costs, and reduces risk. Presidio's expert technical team develops custom applications, provides managed services, enables actionable data insights and builds forward-thinking solutions that drive strategic outcomes for clients globally. For more information, visit . Applications will be accepted on a rolling basis. Presidio has a strong commitment to the community we serve and our employees. As an Equal Opportunity Employer, we strive to have a workforce that includes the community we serve. Presidio is an Equal Opportunity Employer Disability/Vets. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories. The "Know Your Rights" Poster is available here: Presidio's EEO Policy Statement is available here: Presidio is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an email to and let us know the nature of your request and your contact information. Presidio is a VEVRAA Federal Contractor requesting priority referrals of protected veterans for its openings. State Employment Services, please provide priority referrals to . Notice to Massachusetts Candidates: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Recruitment Agencies, Please Note: Presidio does not accept unsolicited agency resumes/CVs. Do not forward resumes/CVs to our careers email address, Presidio employees or any other means. Presidio is not responsible for any fees related to unsolicited resumes/CVs. #LI-JM3 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. About our AgentOps team: The vision for the AgentOps team is to build the best Agent Development Platform in the AI Industry. Agent Development is in its nascent stages in a rapidly changing industry, with limited tooling making it hard for agent developers to manage agent lifecycles. As a team that has a front-row seat to what Enterprise customers need and want, we want to build an opinionated but flexible platform for all Agent operations ("AgentOps"), including building, deploying, monitoring, evaluating and improving agents to solve customer needs. With the AI industry currently moving towards RL workflows that need verifiable rewards, we further want to gear this platform towards knowledge capture that create compounding effects to make Agents more effective and capable. We want to create a virtuous data flywheel where agents built using this platform see continuous performance improvements and increase customer value over time. We are a rapidly growing team with ambitious goals, and are looking for motivated individuals to join us to make an impact in a green-field domain. Responsibilities: • Manage the engineering team and drive technical delivery, • Comfortable working cross functionally, whether that be internal or external customers, • Work across the entire product lifecycle from conceptualization through production, • Build features end-to-end: back-end, system design, debugging and testing, • Deliver experiments at a high velocity and level of quality to engage our customers, • Influence the culture, values, and processes of a growing engineering team, • Inspire and mentor engineers, • Collaborating with cross-functional teams to define, design, and ship new product features and experiences Requirements: • At least 5 years of relevant experience and at least 2 years of experience managing engineers is preferred, • Proven success in leading, managing, and developing high-performing Engineering teams, • Expertise in identifying product engagement patterns and trends for large scale consumer products, • Track record of shipping high-quality products and features at scale, • Desire to work in a very fast-paced environment, • Ability to turn business and product ideas into engineering solutions, • Excellent problem-solving skills, and be able to work independently or as part of a team. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. The General Agents team, part of Scale's Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you'll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle-from model and system design to evaluation, deployment, and iteration-bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: • Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases., • Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints., • Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings., • Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs., • Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems., • Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage., • Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level. Ideally you'd have: • 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases., • Strong engineering fundamentals, supported by a Bachelor's and/or Master's degree in Computer Science, Machine Learning, AI, or equivalent practical experience., • Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design., • Proven proficiency in Python, including writing production-quality, testable, and maintainable code., • Experience building systems that integrate models with external tools, APIs, databases, and services., • Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints., • Strong communication skills and comfort working in customer-facing or cross-functional environments. Nice-to-haves: • Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs, commercial or open-source LLMs)., • Experience with agent frameworks, orchestration layers, or workflow systems (e.g., tool calling, planners, multi-agent setups)., • Familiarity with evaluation, monitoring, and observability for LLM-powered systems in production., • Experience deploying ML systems in cloud environments and operating them at scale., • Experience fine-tuning or adapting foundation models using methods like supervised fine-tuning (SFT), reinforcement learning with verifiable rewards (RLVR), and low-rank adaptation (LoRA) to improve agent performance on domain-specific tasks. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a frontend-focused full-stack engineer to help build AI-powered applications that redefine enterprise workflows and push the boundaries of interactive AI. This role is ideal for someone who thrives in a fast-paced environment, enjoys working on a diverse set of projects, and has a passion for crafting high-quality, intuitive user experiences. At Scale, you'll work on a mix of cutting-edge customer-facing AI applications and internal SaaS products. Our engineering team powers projects like TIME's Person of the Year AI experience (), a powerful system that enables businesses to build and deploy AI agents at scale. Whether it's developing interactive AI assistants, enterprise-grade web applications, or refining our core SaaS platform, you'll play a crucial role in shaping how AI integrates into real-world applications. • Build and enhance user-facing AI applications for major enterprise customers, including high-profile media and Fortune 500 companies, • Develop and refine features for Scale's GenAI Platform, empowering businesses to build, deploy, and manage AI-driven agents, • Design, build, and optimize polished, high-performance UIs using Next.js, React, TypeScript, and Tailwind, • Work closely with product managers, designers, and AI/ML teams to create seamless, intuitive, and impactful user experiences, • Integrate frontend applications with backend services, working with APIs, authentication systems, and cloud-based infrastructure, • Ship features at a rapid pace while maintaining a high level of code quality, performance, and accessibility, • 5+ years of experience developing frontend or fullstack applications in a modern tech stack, • Strong proficiency in Next.js, React, TypeScript, and Tailwind, with an eye for building polished, user-friendly interfaces, • Experience working on high-visibility, customer-facing applications and making trade-offs between speed and quality in fast-paced environments, • A passion for AI and experience working on interactive AI applications, agent-based systems, or data-rich web platforms, • Familiarity with backend technologies such as FastAPI, PostgreSQL, GraphQL, and cloud infrastructure like AWS, Azure, or GCP, • A track record of collaborating cross-functionally with design, product, and ML teams to bring AI-powered applications to life This role is a unique opportunity to shape the future of AI-powered user experiences, working on projects that impact millions of users while developing tools that empower businesses to deploy AI at scale. If you're excited by the intersection of AI, frontend engineering, and product design, we'd love to hear from you. The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is $248,400-$310,500 USD . Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$248,400—$310,500 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. The Director, Global Labeling is responsible for the leadership and oversight of the Labeling function within Global Regulatory Services and Operations (GRSO). This position will manage labeling operations and actively contribute to the development and implementation of regulatory labeling strategy and documentation for marketed products and products in development. This job serves as an expert on regulations governing labeling of pharmaceutical products globally, and serves as the global regulatory labeling representative on relevant project teams to provide strategic input into the development and approval of Target Product Profile (TPP) for development products and all Eisai product Company Core Data Sheets (CCDSs), US Package Inserts (PIs), European Union (EU) Summary of Product Characteristics (SmPCs) and Emerging Market labels. This position manages a team of professionals located in the US and UK, and is responsible for employee-related activities, including resource management, performance management, coaching and mentoring on both operational and strategic aspects of labeling, and fostering a culture of proactive people development. Essential Functions • Lead cross-functional teams in the timely development of content for a new or revised CCDS, USPI, EU SmPC and Emerging Markets labels for assigned products, following internal procedures for review, approval and implementation of labels. Acts as liaison between co-promote partners and Eisai stakeholders in the labeling process., • Establish and maintain processes and standards for global labeling. Supervise direct reports to effectively operationalize labeling activities across all products. Develop and mentor direct reports on both operational and strategic aspects of labeling., • Responsible maintaining the Drug and Establishment Listings for all of Eisai's products., • Maintain centralized labeling repository within Eisai's electronic document management system for all global labels at various stages of development, review and approval. Manage labeling development, review and approval workflows within the electronic documents management system and track the timely and consistent implementation of safety changes in local labels., • Provide labeling support for Eisai US and EU Packaging Engineering functions for artwork control and approval., • Ensure consistency of labeling across product lines and compliance with Eisai policies and procedures and applicable regulatory authority directives and regulations. Analyze competitor labeling and ensure Eisai products have most competitive labeling., • Manage a team of professionals in the US and UK. Responsible for all employee-related activities throughout the year, including performance management and development., • Maintain expertise regarding key labeling requirements worldwide and stay current with labeling guidelines and regulations by FDA, EMA and other applicable regulatory authorities. Represent the Global Labeling group on Regulatory Sub-teams and other project teams to communicate key strategies. Requirements • Bachelors degree in life sciences required; higher degree preferred, • Minimum of 10 years of experience in Regulatory, R&D or related area, • Pharmaceutical experience required, • Solid working knowledge of drug development process, • Solid working knowledge and experience of global regulatory labeling environments and requirements, • Solid knowledge of and demonstrated ability to apply regulatory guidelines pertaining to product labeling and ICH guidelines., • Strong project management, people management, problem solving, strategic thinking, negotiation, interpersonal and communication skills (written and oral), • Ability to work under tight timelines, • Attention to detail Eisai Salary Transparency Language: The annual base salary range for the Director, Global Labeling is from :$180,700-$237,200 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit ___. Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information:

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. JOB SUMMARY: As a member of the Data Analytics group, the Associate Director, Commercial Analytics is part of a high performing team that provides actionable, innovative solutions to address key business questions & opportunities. The position requires a person who can work independently with limited supervision and feel comfortable working across a complex matrix environment including interaction with third party vendors and consultants, Eisai management and current and potential partner companies. Documented expertise in a variety of disciplines is a plus in this position. KEY RESPONSIBILITIES: • This position will be responsible for providing analytics support and recommendations to senior sales, marketing, and market access leadership regarding various initiatives, targeting efforts, analyses and ad-hoc queries., • Proactively identify solutions to field needs with existing report data. Lead the review of recommended solutions with field leadership for confirmation and development of action plans. Build training documents to ensure optimal use of tools., • As "Subject Matter Expert" this position interprets key business reports providing business insights/cause effect pertaining to the reported information., • This position develops and maintains reporting and validation testing standards for the department, and monitors compliance with these standards., • Oversee data quality management process for assigned brand/s with external and internal data providers to ensure timely, accurate and complete patient and specialty pharmacy data., • Per assigned business responsibility, this position interacts with field and home office personnel to understand the business information needs, make recommendations and documents necessary reporting requirements. Additionally, this position acts as the key "go-to person" for resolving field reporting and data inquiries issues. • This position works closely with Field Sales through regular feedback meetings and surveys to continually improve systems and processes aimed at increasing Field effectiveness and company performance., • Develop & maintains business rules/ SOP documentation with internal stake- Lead Third Party Agreements and Vendor Management for assigned business group REQUIREMENTS: • Bachelor's Degree (BS/BA) in an analytic discipline - engineering, mathematics, statistics, economics, etc. Master's degree in a similar field or an MBA preferred, • Summarize, analyze, prepare, present various reports and findings in a clear/concise manner, • Strong Knowledge of third party pharmaceutical sales and script data (DDD, NSP, Xponent, DataView, longitudinal patient data, claims data, etc.), • A minimum of 10 years' experience in the pharmaceutical industry specific to commercial operations or related field is required, • Deals with concepts and complexity comfortably, • Excellent administrative, organizational, project management and analytical skills are required, • Customer focused with excellent communication skills and ability to work with all levels within organization, • Experience in working with IT staff as well as familiarity with Veeva and storage/organization, data access for organizational consumption, • MS Excel, PowerPoint and BI tools (MicroStrategy, Tableau, etc.) -Intermediate to Advanced user, • Prior consulting experience a plus, • Finely tuned attention to detail, • Excellent organizational skills and the ability to balance multiple demands, • Excellent communication, presentation and interpersonal skills, • Proven and successful team player, • This role is hybrid and requires working in our Nutley, NJ office 3 days per week (Tuesday, Wednesday and Thursday) Skills:Advanced Data Analytics, Business Acumen, Communication & Cross-functional Influence, Critical Thinking & Business Agility, Data Governance Expertise, Market Research Skills, Mentoring/ People Development Eisai Salary Transparency Language: The annual base salary range for the Associate Director, Commercial Analytics is from :$174,900-$229,500 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit ___. Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information:

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: Reporting to the Executive Director, Development and Strategic Initiatives at the Fu Foundation School of Engineering and Applied Science (SEAS), the Senior Director of Major Gifts provides leadership and strategic direction for the major gifts program at Columbia Engineering. The Senior Director of Major Gifts is responsible for planning and executing year-on-year major gifts activity and goal setting for major gifts of $1,000,000 - $10,000,000 on behalf of the School. The Senior Director of Major Gifts will manage the frontline major gifts officers process, and set annual fundraising targets through careful coordination of the pipeline, strategy development, solicitation timeline, and ask outcomes for major gifts of $1,000,000 - $10,000,000 as a key partner to the Executive Director. Together with the Executive Director, the Senior Director sets ambitious and annual achievable targets for growing the major gift pipeline over time as Columbia Engineering focuses on ongoing high-priority areas, in addition to the School's building campaign, an exciting School expansion to Manhattanville. In addition to management responsibilities for the major gifts program, the Director also serves as an active fundraiser focused on growing six- and seven-figure donors to the school. The Director will also take a role working with the Vice Dean of Development and Alumni Relations and the Senior Director, Alumni Relations, high-level volunteer boards as needed. Responsibilities Management of major gifts team and program, including strategic planning, portfolio & research management 50%: • Supervise and mentor a team of 2-3 major gift officers, including goal setting, performance evaluation, pipeline, and accountability using university based standardized metrics., • Management of all elements of the major gift fundraising program (gifts ranging from $100,000-$5,000,000) including: population analysis; prospect validation; donor upgrades; volunteer/peer-to-peer outreach by existing major gift donors; proposal development; and coordination with key major gift partners in Central and across OAD., • Conducts annual analysis of the major gift prospect pool to identify new opportunities and donor upgrades; guide advancement strategy and activity to meet fundraising targets, and set goals for the team and for individual fundraisers., • Together with the Executive Director, Vice Dean, the Senior Directors, sets ambitious and achievable targets for growing the major gift pipeline over time to match Columbia Engineering's exciting growth priorities, including a $1B+ capital campaign, an exciting School expansion to Manhattanville, and plans for its next broader campaign., • Key partner to the Executive Director and Vice Dean in planning and implementing solicitation strategies for School priorities for our major prospects, including the Building Campaign, Financial Aid, Professorships, Research Funding and other targeted OAD and School priority fundraising campaigns as needed., • Helps the major gifts team prepare materials including proposals, briefings and talking points for Dean and senior leader meetings for donors in their portfolios., • Works independently with internal and external partners to set and meet annual goals for the major gifts program at Columbia Engineering including donors and potential donors in the alumni, parents, industry and friends' communities; volunteers; faculty and students., • Leads volunteer communities in tandem with the Major Gifts efforts, • Trains volunteer fundraisers and works with them to make solicitations of their peers., • Attends regular full team meetings and leads additional fundraising meetings to evaluate progress and prospect assignments including leading EDAR's Bi-Monthly Moves Management Meeting ("M3") at which key prospects are discussed, analyzed and strategized. Will also lead other development team meetings as assigned., • Serves as a role model across EDAR, beyond their team members., • In addition to management responsibilities for the major gifts program, the Senior Director also holds a personal portfolio and serves as an active fundraiser focused on growing six- and seven-figure donors to the school., • Responsible for personal portfolio up to 100 prospects for cultivation, solicitation & stewardship of high-level portfolio of mostly major and some principal gifts level donors., • Responsible for conducting 150 personal visits over 12 months to cultivate and solicit and close gifts, including interactions with members and prospective members of the Engineering Board of Visitors., • Prepares written solicitation materials, proposals, talking points, and briefings tailored to individual donors and prospects., • Volunteer Board Responsibilities: The Senior Director partners with the Vice Dean, donor managers, and the Senior Director of Alumni Relations to support and manage high-level volunteer boards, including the Board of Visitors (BoV). This role includes building and maintaining a pipeline of board volunteers in partnership with donor managers., • Separately, EDAR also engages volunteer donors in its fundraising efforts. As needed, the Senior Director may be responsible for leading, planning, and executing the work of additional donor boards and committees as assigned across EDAR donor constituencies., • Leads aspects of School's key events including class day, commencement, convocation as needed., • Collaborates with the other Directors and Senior Directors to build team spirit and collectively achieve our ambitious goals across alumni engagement, donor engagement, and fundraising and participation goals. Bachelor's degree required and advanced degree strongly preferred. Bachelor's degree and 7-9 years of development experience (primarily in major gifts fundraising), or other related senior experience in a philanthropic environment, required. Demonstrated ability to effectively leverage the time of senior volunteers, and demonstrated success in all phases of cultivating, soliciting, and stewarding large gifts ($500,000 and above) from individuals. At least seven (7) years of previous leadership/management experience is necessary. This position requires evening and weekend work, as well as occasional travel. Preferred Qualifications Seven to nine years in fundraising or related transferable experience preferred, with demonstrated success in annual, major, principal, or capital giving or applicable ability. Experience with higher education is preferred. Having an intellectual interest in engineering and technology would be helpful. Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.

The Columbia Nano Initiative (CNI) operates a cutting-edge nanofabrication clean room lab spanning 5,000 square feet, equipped with 40 advanced fabrication and metrology instruments. Our facility serves over 200 active users from Columbia University and beyond, including researchers from other universities and private companies. The cleanroom director, SSA3, designs, performs, and supports research experiments in the cleanroom lab, focusing on device fabrication and fabrication process optimization. This involves conducting scientific literature surveys and utilizing advanced techniques and data analysis. Fabrication sectors include: photolithography, deposition, dry and wet etch, diffusion, and backend processes. The cleanroom director provides guidance to students, lab users, and peers from other departments on safe equipment operation, gas and chemical handling, optimal experimental conditions, and efficient data analysis to achieve research goals. They manage the operational tasks and projects of the cleanroom staff, providing technical guidance and leadership. The cleanroom director, SSA3, performs integrated experiments in the lab for various research projects and conducts scientific literature reviews to address specific fabrication challenges. They ensure that fabrication instruments are stable and operating within specifications, optimize process health, and keep the lab and techniques up to date for advanced research projects. The cleanroom director initiates, writes, and actively participates in writing lab protocols, standard operating procedures, grant proposals, and scientific manuscripts for publication. The cleanroom director, SSA3, leads maintenance efforts for cleanroom lab equipment, including preventative maintenance, problem diagnostics and troubleshooting, and repairs. They evaluate new techniques and instruments for potential installation and implementation, coordinating with vendors, service providers, and other campus entities. The cleanroom director, SSA3, is a safety champion, who is comfortable working with hazardous chemicals and toxic and flammable gases. they oversee safety protocols, respond to gas leak alarms, troubleshoot root causes and implement related procedures to ensure lab safety. The cleanroom director, SSA3, participates in budget planning anduser feel collection to maintain the financial health of the lab. Bachelor's Degree in Materials Science, Electrical Engineering, Physics, or related field. Master's Degree, or equivalent combination of education and experience preferred. 15 years of experience. Expert level knowledge and skills in Nanofabrication, working in a cleanroom environment, including but not limited to Photolitography, reactive ion etching, and physical vapor deposition. Knowledge of vacuum systems and gas cylinder handling. Experience designing and performing experimental research in a scientific field (Materials science, Physics, Chemistry, Electrical Engineering or a similar field), including literature survey, design of experiments, data analysis, and scientific writing. Manages and leads substantial portions of integrative research projects and leads the technical team of the cleanroom. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: Morningside The Assistant Director of Graduate Academic Advising supports the academic success and overall experience of Columbia Engineering graduate students. The role enhances advising capacity across master's and doctoral programs, with added emphasis on master's level support. It focuses on providing academic policy guidance, supporting partnership and dual-degree programs, and coordinating responses to student concerns. In addition to advising master's students, the position contributes to selected doctoral processes and assists with routine doctoral student-related inquiries. The Assistant Director works closely with departments and campus partners to ensure students receive consistent information, timely assistance, and a clear path toward degree completion. Responsibilities Graduate Student Advising (50%): Advises graduate students, with an emphasis on MS students, on various aspects of their studies, including school-level degree requirements, academic policies, and procedures. Meets with students individually, responds to their inquiries, and connects them to resources as appropriate. Advises students interested in or enrolled in the school's various MS specializations, such as the Advanced Master's Research specialization. Supports student advising needs for partnership and dual-degree programs, coordinating requirements, documentation, and routine communications with students. Coordinates onboarding and support for incoming partnership and dual-degree program students, including orientation materials and transition guidance. Serves as an advisor for designated Columbia Engineering MS programs, including but not limited to MBAxMS and the MS in AI program. Tracks and provides guidance to students on curriculum requirements, registration issues, and academic planning. Refers students to their respective faculty advisors and Career Placement Officers to address electives, career-related questions, and other issues. Serves as a liaison with Columbia Engineering departments in supporting all aspects of student affairs to ensure student success. Assists with escalated student cases from Columbia Engineering departments on complex academic policy issues, providing high-touch support and case management. Collaborates with other schools, offices, and departments (GSAS, ISSO, Registrar, Health Services, Student Financial Services, and Columbia Residential) on student cases as needed. Maintains a very high level of knowledge of school academic policies and procedures. Attends, assists, and presents at new-student orientation, relevant school-level or program-specific meetings and events, and other events throughout the year. Tracks, assesses, and reports on student data. Identifies students who are not meeting satisfactory academic progress. Recognizes and advises on trends in advising cohorts. Graduate Student Affairs (30%): Assists in monitoring and tracking MS and doctoral students' degree progress, registration status, academic standing, and changes in status. Identifies students who are not meeting satisfactory academic progress. Provides support and coordinates with department student affairs officers on academic plans for students who require monitoring or intervention. Identifies trends on a larger scale and works to address them through school policy and at the program level. Serves on the Engineering Student Affairs graduate student on-call team, providing crisis intervention for graduate students experiencing difficulty. Responsible for engaging with the student/s and then connecting the student to the appropriate resources for further engagement. Assists with responding to urgent situations. Supports key onboarding, orientation, and professional development programs for doctoral students, including Engineer Your PhD (EYP), Three Minute Thesis (3MT), and PhD Connect. Partners with other Engineering Student Affairs teams, including Student Life and Professional Development and Leadership (PDL) teams, to innovate programming to meet evolving student needs. Assists with partnership and dual-degree program student recruitment efforts, such as but not limited to open house events and yield programming. Liaises with admitted students to address admissions, academics, and registration inquiries. Graduate Academic Affairs (15%): Reviews graduation clearances for MS and MPhil degree levels. Maintains advising resources, program guides, and communication templates for both MS and doctoral audiences. Supports departmental outreach by sending reminders about upcoming deadlines, policy changes, and required actions. Additional duties as assigned (5%) Minimum Qualifications • A bachelor's degree and or its equivalent., • A minimum of 2-3 years of related experience is required., • Understand student and academic affairs opportunities and challenges affecting constituents, comprising a diverse population, both domestic and international., • Ability to represent the Program and School professionally at events., • Demonstrated ability to take initiative and work independently, accepting responsibility and accountability for assignments, within a team environment., • Ability to balance multiple tasks with competing deadlines, demonstrated ability to pay strict attention to detail, and exercise discretion in handling confidential information., • Experience working in a team environment, and the ability to work independently., • The ability to interpret and apply standards and the ability to communicate complex policies and procedures to students, faculty, staff, and other stakeholders., • Strong technical competency is required; demonstrate an understanding and appreciation of student services database software and online resources, and the willingness and enthusiasm to respond to students' needs in an increasingly technologically dynamic society., • Proficiency with Google suite of products, MS Office (Excel with pivot tables, vlookup), PowerPoint, publishing software, social media, etc., • Ability to analyze and work with a large volume of student, course, and other types of data., • Must be willing to work on occasional evenings and weekends, on a needed basis, especially when on-call and student crises arise., • Possess excellent interpersonal and administrative skills., • Ability to work independently and under pressure, with a high level of attention to detail., • Candidate must exercise good judgment and flexibility., • Must be able to prioritize multiple tasks with minimal supervision., • Must be able to communicate effectively and tactfully with staff, faculty, students, employers, and alumni in small and large group settings., • Must be able to exercise good judgment, diplomacy, and flexibility, with a student-wellness mindset., • Graduate-level work is preferred., • Knowledge of advising and counseling techniques., • Knowledge of University-specific computer application programs and pertinent databases. Columbia University is committed to the hiring of qualified local residents.

The Senior Director Product Management is the product leader responsible for leading and executing strategic cross-retail product initiatives that span Cox Automotive's retail ecosystem. This role manages high-impact, enterprise-wide initiatives that will include Incentives modernization, AI agent strategy and implementation, as well as critical cross-retail workflows that enable seamless experiences across Cox Automotive's retail brands and products. The Senior Director Product Management leads initiatives across multiple delivery streams and will also be expected to drive alignment between the dealer and consumer portfolios around capabilities that provide mutual benefits and stakeholder value. This role serves as a champion for delivering innovation and shared capablities, partnering closely with Business and Operations leaders, Engineering, Architecture, and Solution Delivery to drive decision making and alignment across CAPTG and the retail business. This leader must exhibit mastery in managing complex, cross-functional technical products, exceptional stakeholder management across multiple business units, and the ability to influence and drive organizational change at scale. Exceptional collaboration and communication skills are paramount to reach executive level stakeholders, business leaders, and delivery teams while ensuring excellent customer experiences across the retail ecosystem. • Execute on defined strategies for cross-retail product initiatives spanning multiple portfolios and delivery streams, ensuring alignment with Cox Automotive's strategic priorities including Modern Connected Retailing Platform objectives and AI Transformation., • Define approaches for enterprise capability development that will result in significant impact on organizational success across the retail ecosystem., • Lead the innovation, development and execution of AI agent strategy across retail, defining use cases, capability requirements, governance models, and adoption roadmaps that transform how Cox Automotive delivers value to dealers and consumers. Rationalize the agent approach and positioning with Cox Automtive Navigator., • Own the product strategy and roadmap for Incentives modernization, addressing business continuity risks and known challenges that will result in protecting core business, reducing churn and providing competitive differentiation., • Identify and prioritize critical cross-retail workflows that require standardization, defining enterprise patterns and capabilities that enable seamless experiences across Cox Automotive's retail product portfolio., • Partner and collaborate with business, operations and product leaders across Cox Automotive retail brands to ensure successful development, delivery, and adoption of enterprise capabilities that deliver on the expectations of a connected retail platform., • Contribute to defining best practices for AI-native product development, cross-functional collaboration models, and modern product operating models., • Monitor industry trends and competitive landscape for product, technical, and process changes, translating insights into strategic recommendations and investment priorities for Cox Automotive's retail ecosystem., • Create metrics-based approaches to measure adoption, business impact, and ROI for identified enterprise initiatives., • Actively develop talent within the product organization and create bench strength across enterprise product teams including succession planning for critical roles., • Lead and resolve complex business issues or problems that have enterprise-wide impact, navigating organizational complexity and driving consensus among diverse stakeholders., • Foster effective business relationships with all internal and external partners, vendors, and stakeholders across Cox Automotive's retail ecosystem and broader enterprise., • Contribute to creation of overarching guidance for sales, marketing, and go-to-market strategy development across enterprise initiatives, ensuring alignment with business unit strategies. Required Experience, Specialized Knowledge and Skills • Bachelor's degree in a related discipline and 14 years' experience in a related field. Advanced degree preferred. The right candidate could also have a different combination, such as a master's degree and 12 years' experience; a Ph.D. and 9 years' experience in a related field; or 18 years' experience in a related field., • Minimum of 12+ years of related work experience with at least 7 years' experience in a leadership role managing cross-functional product initiatives., • Applies advanced leadership experience building and leading high performing, distributed teams that consistently meet or exceed team and business goals in a fast-paced, high change, matrixed organization., • Proven experience driving enterprise-wide strategic initiatives that span multiple business units, products, or technology platforms with demonstrated ability to influence without direct authority., • Deep expertise in AI native product strategy and implementation, with demonstrated experience leading AI adoption efforts, use cases, and workflows., • Forward-thinking; anticipates technology and market trends in the automotive industry with ability to translate trends into actionable product strategies., • Applies mastery-level knowledge in business, product performance, and industry principles, practices, and procedures with ability to provide consultation and thought leadership across the enterprise., • Working knowledge of SAFe Agile Methodology and modern product operating models; experience with AI-native SDLC practices preferred., • Automotive retail experience is required, with deep understanding of dealer operations, workflows, and pain points across the vehicle lifecycle., • Serves as a recognized expert and thought leader in primary discipline or technical area with enterprise-wide impact., • Demonstrated expertise in emerging technologies, practices, and processes with ability to drive organizational transformation and change management at scale., • Working experience in design, development and implementation of complex, multi-year product strategies spanning multiple products and business units., • Working experience in full product lifecycle methodologies including discovery, delivery, adoption, and optimization across distributed teams., • Working experience in creating, prioritizing and recommending epics and features across multiple ARTs with ability to manage complex interdependencies., • Working experience in conducting competitive research and analysis at the enterprise level, synthesizing insights into strategic recommendations., • Working experience identifying and tracking KPIs and other analytics to measure product value, adoption, and business impact across multiple initiatives., • Extensive experience with executive presentations and stakeholder management at the executive level., • Proven success working in highly collaborative, cross-functional team environments spanning multiple business units, geographies, and organizational boundaries., • Strong financial acumen with demonstrated ability to build business cases, manage P&L impact, and articulate ROI for complex, multi-million dollar initiatives. USD 179,600.00 - 299,400.00 Compensation: Compensation includes a base salary in the range of $179,600.00 - $299,400.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. Benefits: The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you'll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems, • Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more, • Have experience gathering business requirements and translating them into technical solutions, • Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs, • Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases., • A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client's business goals, • Strong engineering background: a Bachelor's degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background., • Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results, • Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment, • Strong knowledge of software engineering best practices, • Have built applications taking advantage of Generative AI in real, production use cases About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Role Overview: The Cloud Security Engineer is responsible for deploying, managing, and securing cloud solutions across AWS, Azure, and Google Cloud platforms. This role involves close collaboration with IT, Cloud Engineering & Operations, Network Operations and Data Science Center teams, acting as a technical lead and primary contact for cloud security projects, migrations, and integrations. The Cloud Security Engineer is expected to have hands-on experience managing cloud services in a hybrid environment, with a strong focus on implementing and maintaining robust security controls. In addition to technical responsibilities, the Cloud Security Engineer will engage with both internal colleagues at all levels within the firm and external stakeholders, ensuring seamless communication and coordination on cloud security matters. The Cloud Security Engineer will stay informed on emerging cloud security technologies and will translate information security policies into operational processes, continuously enhancing the security posture of the organization. At Cornerstone Research, you will be part of a thriving, 1,000-strong team that spans nine offices, comprises more than 55 nationalities, and leads the industry in its commitment to develop team members across all levels. Inc. Magazine has recognized Cornerstone Research three times as a Best Workplace for its outstanding employee engagement, collaborative culture, and professional growth opportunities. You'll Love It Here If You: * Embrace learning and continuous improvement * Set and strive for a high bar of excellence * Believe that teamwork leads to success: ask us what it means to be #onefirmfirm! * Take pride in always doing your best work, even if it's harder or takes longer * Are passionate about what you do How You'll Help Our Team Succeed: • Designs and engineers secure cloud solutions leveraging Google Cloud, AWS and Azure IaaS, PaaS, and SaaS, with a focus on security best practices., • Researches, designs, and implements new cloud security technologies to enhance Cornerstone's cloud security posture., • Supports applications hosted in cloud environments, ensuring they meet stringent security standards., • Deploys and develops cloud cost management, budgeting, and expensing capabilities, with an emphasis on security aspects to control unauthorized access and expenditures., • Manages and reports on cloud costs, identifying and reporting unusual expenditures with a focus on security implications., • Conducts periodic audits of accounts, permissions, and access rights for cloud services in compliance with security policies., • Builds and maintains strong relationships across IT teams, fostering collaboration on cloud security issues., • Performs periodic gap analyses against current and future security requirements to improve cloud security measures; recommends relevant improvements., • Administers and supports secure connectivity to cloud services, ensuring encrypted and protected data transfers, using AWS Direct Connect and Azure Express Route., • Monitors daily maintenance event logs for cloud-based environments and addresses any noted issues., • Maintains security patches in alignment with industry best practices., • Creates and maintains cloud-related security policies and procedures in partnership with the Director, Information Security., • Creates and maintains cloud security operational documentation and training materials for use by IT staff. What You'll Need to Be Successful: • 8+ years of experience in cyber security roles required, with professional services experience preferred., • Extensive experience supporting and administering AWS, Azure, Google Cloud and O365 cloud environments., • Experience with cloud security implementations, migrations, and integrations within secure frameworks., • Familiarity with programmatic means of cloud security administration, such as cloud APIs and CloudFormation Templates on AWS, with a focus on secure configuration., • UNIX/Linux experience with a strong exposure to server administration., • Bachelor's degree in a relevant field or equivalent combination of education, skills and experience., • Cloud Professional Certification required (e.g., AWS Certified Security - Specialty and/or Microsoft Certified: Azure Security Engineer Associate or similar)., • Additional security related IT certifications (e.g., CISSP, CISM, CompTIA Security+) are a plus. Cornerstone Research is offering a competitive market base salary for this position. The base salary range represents the low and high end of the salary range for this position in all eligible locations. This range may differ based on your geographic location and cost of living considerations. At Cornerstone Research, we believe compensation is more than just a base salary. We offer a competitive total compensation package that includes an annual performance bonus and comprehensive benefits such as flexible options for healthcare, paid time off, and retirement savings. Relocation assistance is not offered for this position. Boston: $141,400 - $171,500 Chicago: $134,00 - $162,500 Los Angeles: $140,400 - $170,300 New York: $143,800 - $174,400 San Francisco: $154,200 - $187,000 Washington, D.C.: $138,800 - $168,400 We're looking for passionate individuals who share our firm's core values and can bring varied perspectives and experiences to our team. Who We Are: Cornerstone Research provides economic and financial analysis and expert testimony in all phases of commercial litigation and regulatory proceedings. We work with a broad network of testifying experts, including leaders from academia and industry, who are recognized for their depth of knowledge, accomplishments, and research. Our staff consultants contribute expertise in economics, finance, accounting, and marketing, as well as business acumen, familiarity with the litigation process, and a commitment to produce outstanding results. We're looking for passionate individuals who share our firm's core values and can bring varied perspectives and experiences to our team. The firm's uniquely collegial, supportive atmosphere makes Cornerstone Research a great place to work. We invest in our people in a host of ways, from providing meaningful learning and development opportunities to organizing memorable social events. To many, our culture and our people are the most exciting, enriching aspects of a Cornerstone Research career. Equal Employment Opportunity: Cornerstone Research provides Equal Employment Opportunities to all employees and applicants for employment without regard to legally protected categories, such as age, sex, gender, gender identity, race, color, creed/religious belief, medical condition, predisposing genetic characteristics or genetic information or testing, disability, marital status, pregnancy status, military status, veteran status, arrest or conviction record (except where permitted by law), sexual orientation, ethnic background, citizen status, ancestry, national origin, or any other consideration protected by federal, state or local law.