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Job Description Kinsley Power Systems is seeking an Industrial Sales Engineer to add to their team! The Industrial Sales Engineer's main objective is to sell industrial power generation applications including related equipment (transfer switches, switchgear, load banks, fuel tanks, etc.) to end-users, engineers, electrical contractors, municipalities, government applications and OEMs, among others. Kinsley Power Systems, a family-owned business, has been an industry leader in generator service, sales and rentals for over 60 years. If you want to join a growing company with strong family values, a great culture, a company where you are valued for your hard work and have opportunities to grow – then look no further, come join our Kinsley family! Responsibilities: • Responsible for pursuing new project opportunities and closing sales, • Influences quote development, appropriate equipment and support services, project terms and conditions and ensuring customer support exists through the equipment warranty period, • Meets or exceeds quarterly sales quotas by driving sales with targeted customer types in identified verticals, as well as identifies opportunities with existing accounts in assigned territory, • Negotiates and closes deals which derive significant revenue and associated margins, • Understands the company's complete suite of products and services and identifies and hands-off cross-selling opportunities to other business verticals: residential equipment, rental agreements, prime power equipment, service contract sales, • Makes joint sales calls with appropriate technical/engineering sales resources - providing in-depth technical knowledge of the solutions we have to offer, • Develops long-term relationships with customer decision makers and influencers at the electrical contractor, engineer and building owner levels, • Maintains customer/project data in Customer Relationship Management software (CRM): Tracks active projects for weekly and monthly reporting, documenting of business development activity, and obstacles to success Preferred Skills and Experience: • Bachelor’s degree; or equivalent combination of education and experience will be considered on a case-by-case basis, • Proven passion and success in sales required, • Must be self-motivated with the ability to work independently and in a team atmosphere, • Possess a strong customer services focus with good verbal and written communication skills, • Must possess a strong sense of urgency and a proven ability to meet deadlines, • Proven competency in Microsoft Office, • Ability to work a flexible schedule, including overnight travel as required, • Possess and maintain a current, valid state driver’s license All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. The anticipated compensation range for this position is $85,000 to $130,000 annually. Actual compensation may vary based on skills, experience, certifications, location, and other business-related factors. Kinsley Group offers a comprehensive benefits package that may include medical, dental, and vision insurance, company-paid life insurance, disability coverage, paid time off, paid holidays, 401(k) with company match, employee assistance programs, and other company-sponsored benefits. Compensation details: 85000-130000 Yearly Salary PI6196beb6a9f0-25405-39740032

Job Description Job Type: Full-time Dept.: Information Technology Classification: Exempt EEO Code: Professionals Supervisor’s Title: CTO Hours: Monday- Friday, 830am to 5pm. Additional hours may be required as business necessitates. Date updated: November 2023 Job Summary: The Jr. System Administrator will provide stable and uninterrupted operation of all in-house computer systems, peripherals, tablets, and mobile devices, including assisting in planning, developing, installing, configuring, maintaining, supporting, and optimizing systems hardware, software, and communication links. This position requires independent analyses, effective and efficient communications, and complex problem-solving skills with a heavy focus on application-level support. Essential Job Functions: Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. • Provide front-end support to internal and external customers; diagnose and troubleshoot desktop-related issues (software installs, email configuration, and routing, hardware, applications, and peripherals), • Serve as an escalation point for the Service Desk, ensuring completion of Service Desk Tickets within required SLAs and to the customer’s satisfaction; perform advanced diagnoses of hardware and software, communicating the remediation plans to the team, the end-user, and to management as required, • Support the ERP system and all related modules; perform advanced application-level troubleshooting on the ERP platform as well as other industry-standard software, • Assist with conducting UAT and QAT on software and hardware releases as applicable to the business, • Assist with administration and maintenance of (systems-based and application) user accounts, permissions, and access rights, • Work with the Systems Engineer to perform routine system maintenance and system upgrades including service packs, patches/updates, hotfixes, and security configurations; conduct routine environment health checks, • Work within established configuration and change management policies to ensure awareness, approval, and success of changes made to the IT infrastructure (front and backend), • Maintain Department standardization of all hardware and software adhering to internal IT Controls and compliance policies, • Document and update technical procedures, administrative processes, and configuration management, • Assist with managing infrastructure assets: vendor support agreements, software licenses, hardware leases, and service contracts; assist with inventory management - monitoring and controlling inventory of IT equipment and consumables, • Protect the organization's value by keeping information confidential and maintaining safe/ethical computing practices, • Provide on-call emergency services after business hours, holidays, and weekends (as required) Must be familiar with all or some of the following technologies • Network troubleshooting (DNS, DHCP, and TCP/IP), • MS Windows 11, MS Windows Server platforms (2016 and greater) / Active Directory, • Application troubleshooting - Microsoft OS, Office 2016 (and greater), ERP/CRM type applications, • Mobile Device Management, • Virtualization technology, • Cloud based technology, • Antivirus and Anti-Spam technologies, • Backup software technologies and methodology, • Business Continuity Practice, • Remote access configuration & troubleshooting (VPN), • VOIP telephony services, • Website implementation and administration, • Video Conferencing technologies, • Ticketing System Position Requirements/Experience/ Education: • Bachelor’s Degree in Information Systems, Computer Science, or a related field is a must., • 2 years prior experience proving Tier 2 IT Support is a must., • Strong Application-level troubleshooting skills are a must., • Industry Standard Certifications (i.e. Microsoft) preferred., • Strong coordination, organization, teaming, and communication abilities., • Works well individually or in a group setting., • Strong interpersonal skills, able to deal effectively with people at all levels., • Consistent high level of customer care and responsiveness., • Good written and verbal communication skills., • Good organizational and time management skills., • Ability to work under pressure and with time constraints., • Successfully presents technical information to people at all levels ., • Technical knowledge base and excellent problem-solving skills., • Process improvement techniques., • IT Documentation. Ability Requirements: • Excellent follow-up skills, • Ability to set clear expectations within the division and multitask., • Solid decision-making skills within the scope of the position., • Ability to meet deadlines. Qualification Requirements: • Prioritizing, flexibility, adaptability, • Problem assessment and problem-solving, • Information gathering and information monitoring, • Demonstrated accuracy and attention to detail Functional Details: • Is this position closely, moderately, or minimally supervised? Minimally supervised., • Does this position have supervisory responsibility (i.e., responsible for hiring, firing, performance appraisals, etc.)? Yes No X_ If yes, list the number and title for positions that directly or indirectly report to this position (i.e., three secretaries, four programmers, etc.):, • Does this position have access to confidential information? Yes X No If yes, please explain: While servicing an employee’s PC, they have access to all information in the system., • Does this position have authorization to obligate company funds? Yes X No If yes, please explain: They have the ability to access P.O’s through GE., • This position requires what level of understanding of the English language? Fluent X Basic None • Will this person be required to pass a criminal background check, drug screening, DMV search, and reference verification? Yes X No If yes, please explain: He/she will need to successfully pass all the above screening requirements. • What type of equipment will this person need to do their job? Computer, office phone, mobile phone, external hard drive. Physical Requirements: Are there specific physical or environmental demands associated with this position? (Mark each activity with frequency level of either “C” constant; “F” frequent; “O” occasional; or “N” never.) Environmental/Equipment: O Around moving machinery O Exposed to marked changes in temperature O Exposed to dust, fumes, gases, etc. O Operates motorized equipment/tools O Works in confined spaces O Exposed to electrical wiring N Works at levels at or above 6 feet Physical: O Standing O Walking F Sitting O Bending O Squatting O Crawling O Kneeling O Climbing O Balancing O Pushing/Pulling F Handling Objects (manual dexterity) F Reaching above shoulder level F Using fine finger movements F Speaking C Hearing Carry/Lift Loads up to: Y 25 lbs Y 25-50 lbs N over 50 lbs

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position. What You’ll Be Working On: Customer Support: Provide exceptional technical support to customers via Zendesk, meeting SLAs and maintaining high CSAT (95%+). On-Call Rotation: Participate in a 24/7 on-call rotation to ensure timely resolution of critical issues. Troubleshooting: Diagnose and resolve issues related to VMs, hardware failures, and scaling tests using CLI and internal tools. Alert Triage and Maintenance: Manage alert triage, prepare for maintenance windows, and conduct node delivery testing. Collaboration: Work closely with SRE, Networking, and Storage teams from initial triage to root cause analysis (RCA) delivery. Global Teamwork: Adhere to global team collaboration and handoff processes for ticketing and on-call procedures. Knowledge Sharing: Develop onboarding/training materials, knowledge base documentation, and standard operating procedures (SOPs). What You’ll Bring to the Team: Education/Experience: Bachelor's degree in IT, Computer Science, Engineering, or a related field, or 2+ years of equivalent technical experience. Linux Proficiency: Strong command-line interface (CLI) skills in Linux environments. Version Control: Proficiency with Git for code management and collaboration. Customer Support Experience: 2+ years of experience in a customer support role, ideally within cloud, storage, or networking environments. Cloud Technologies: Experience with container orchestration (e.g., Kubernetes), workload management (e.g., Slurm, Terraform), and monitoring tools (e.g., Grafana). Public Cloud Knowledge: Familiarity with other public cloud platforms (e.g., AWS, Azure, GCP). Communication Skills: Excellent communication and customer service skills, including the ability to prioritize competing escalations. Bonus Points: Cloud Expertise: Deep understanding of specific cloud platforms and services. Automation Skills: Experience with automation tools and scripting languages. Problem-Solving Abilities: Demonstrated ability to analyze complex technical issues and develop effective solutions. Passion for Sustainability: A strong interest in contributing to a more sustainable future through technology. Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $145,000 - $170,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description Location: New York, NY Work Model: Hybrid / flexible Industry: AI security & infrastructure (Model Context Protocol) Compensation: ~$180K base, plus performance bonus About the Company Our partner is an early-stage, fast-scaling startup building security infrastructure for the Model Context Protocol, protecting enterprises from data leaks as they adopt AI agents. Founded less than a year ago, they already have a multi-million-dollar pipeline, a deeply technical product, and backing from top-tier investors. The bar is high, the pace is fast, and the problems are genuinely hard. The Opportunity As the Founding Support Engineer, you will build the support function from scratch for enterprise customers deploying AI infrastructure. You will sit at the intersection of engineering and customers, debugging hard technical problems, defining how support runs, and making enterprise customers successful post-sale. This is a technical, customer-facing seat for someone who is both an excellent engineer and genuinely comfortable in front of people. You will join an established, professional team rather than a first-engineer situation, with rapid advancement and leadership possible within 6-12 months. Responsibilities • Own technical support for enterprise customers deploying the product, async and over Slack/Teams, • Debug issues across Python/TypeScript, PostgreSQL, HTTP requests, and Kubernetes pod logs, • Troubleshoot enterprise identity (SSO, SCIM, OAuth) and cloud infrastructure, primarily AWS (EKS/ECS, CloudWatch, VPCs), • Define SLAs, triage workflows, and escalation paths from zero to one, • Serve as the technical bridge between customers and the engineering team, • Build support tooling and documentation that reduce ticket volume over timeRequirements, • 4-6 years as an engineer, support engineer, solutions engineer, or developer success advocate; exceptional candidates with less experience considered, • Strong technical depth in enterprise infrastructure and AI systems, with experience supporting large enterprises, • Strong computer science or statistics foundation, • Startup or consulting background with real time in front of customers, • AI-native: uses MCPs and AI tools daily, with excellent written communication and a customer-first mindset, • Consistent tenure without a pattern of short stints, • Bonus: hands-on MCP or agent tool-calling in production, or security-critical / compliance-driven enterprise deployments

Job Description Title: Production Support Engineer Location: New York, NY (hybrid) Duration: 12+ month contract Compensation: $40 - 50.00/hr. W2 Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S. ABOUT THIS FEATURED OPPORTUNITY The Production Technology Operations team supports the technology systems and equipment used across studio and production environments. The team partners with business stakeholders, engineers, vendors, and other technical teams to ensure production personnel have reliable technology to support content creation and day-to-day operations. THE OPPORTUNITY FOR YOU We are seeking a Senior Production Support Engineer to provide hands-on technical support across production environments. This role serves as a boots-on-the-ground technical resource, supporting production teams wherever their work takes them. Work locations may vary daily depending on production needs, requiring flexibility to travel between locations throughout the city. You will troubleshoot technical issues across Tier 1, Tier 2, and Tier 3 support, ranging from peripheral and Bluetooth connectivity to Wi-Fi, network access, VLANs, firewalls, and more complex connectivity issues affecting remote production workflows. The ideal candidate combines strong technical troubleshooting skills with a customer-first mindset and the ability to adapt quickly in a fast-paced production environment. KEY SUCCESS FACTORS • IT Support Experience: At least 1 year of experience in IT support, help desk, or a similar technical support role., • Technical Troubleshooting: Experience supporting Mac, iOS, iPadOS, and other computing devices, with a strong understanding of networking concepts, including VLANs, firewalls, and connectivity troubleshooting., • Customer Service: Strong customer service and communication skills, with the ability to support users professionally in a fast-paced environment. NICE TO HAVES • A passion for creating an exceptional customer experience., • Experience supporting technology in production, studio, or other dynamic environments., • Ability to troubleshoot complex network and connectivity issues across local and remote workflows. About INSPYR Solutions Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Senior Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position. About This role: Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position. What You’ll Be Working On: Weekend Shift Schedule: Wednesday – Sunday, or Saturday – Wednesday (5-day work week, includes weekend coverage). On-site required for weekday shifts. Compensation reflects a 10% increase for this schedule. Customer Support: Provide exceptional technical support to customers via Zendesk, meeting SLAs and maintaining high CSAT (95%+). On-Call Rotation: Participate in a 24/7 on-call rotation to ensure timely resolution of critical issues. Incident Management: Primary point of contact for incident management, focusing on initial triage, communication, and procedural rigor throughout the incident lifecycle. You'll lead response efforts, ensuring clear communication with both technical and non-technical stakeholders and acting as a customer advocate to minimize disruption. Troubleshooting: Diagnose and resolve issues related to VMs, hardware failures, and scaling tests using CLI and internal tools. Alert Triage and Maintenance: Manage alert triage, prepare for maintenance windows, and conduct node delivery testing. Collaboration: Work closely with SRE, Networking, and Storage teams from initial triage to root cause analysis (RCA) delivery. Global Teamwork: Adhere to global team collaboration and handoff processes for ticketing and on-call procedures. Knowledge Sharing: Develop onboarding/training materials, knowledge base documentation, and standard operating procedures (SOPs). What You’ll Bring to the Team: Education/Experience: Bachelor's degree in IT, Computer Science, Engineering, or a related field, or 4+ years of equivalent technical experience. Linux Proficiency: Strong command-line interface (CLI) skills in Linux environments. Version Control: Proficiency with Git for code management and collaboration. Customer Support Experience: 5+ years of experience in a customer support role, ideally within cloud, storage, or networking environments. Cloud Technologies: Experience with container orchestration (e.g., Kubernetes), workload management (e.g., Slurm, Terraform), and monitoring tools (e.g., Grafana). Public Cloud Knowledge: Familiarity with other public cloud platforms (e.g., AWS, Azure, GCP). Communication Skills: Excellent communication and customer service skills, including the ability to prioritize competing escalations. HPC Knowledge: Understanding of HPC technologies such as Infiniband, RDMA, RoCE, and Software Defined Networking (SDN). Bonus Points: Certifications: CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI and LLMs, Generative AI Multi-modal, Infiniband, Linux Foundation IT Associate, System Administrator. Cloud Expertise: Deep understanding of specific cloud platforms and services. Automation Skills: Experience with automation tools and scripting languages. Problem-Solving Abilities: Demonstrated ability to analyze complex technical issues and develop effective solutions. Collaboration and Mentorship: Proven ability to mentor, train, and onboard colleagues. Passion for Sustainability: A strong interest in contributing to a more sustainable future through technology. Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $135,000 - $165,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description About Burns: Burns Engineering provides professional engineering design and project management services for transportation, facilities, and infrastructure projects. We help our clients attain their strategic goals and initiatives through successful large-scale infrastructure projects. Burns' full-service capabilities include mechanical, electrical, civil, structural, transportation, and energy consulting engineering. Recently voted a Top Workplace by Philly.com, we credit our strength as an organization to our talented, driven, vibrant team. Burns is an ENR Top 500 Firm, and has been named an MEP Giant by Consulting-Specifying Engineer Magazine, as well as a Hot Firm by Zweig. We are industry experts, proven leaders, innovative thinkers, and team players. We put our clients' successes and best interests first, because their success is our success. We have fun at work because we love making a difference in the world. We are looking for high-energy, bright, collaborative individuals who want the opportunity to "write their own story" with us. For more than 50 years, we have built our reputation on outstanding client service. Ranked a Top Workplace and ENR Top 500 Design Firm, we are personally invested in helping our clients achieve their goals, sharing in their passions, and successfully guiding them through the challenges of complex projects using our no surprises Burns Unique Client Experience. We are currently seeking a recent 2026/2027 graduate to join our team as an Electrical Design Associate. SUMMARY Electrical Design Associate is responsible for preparation of designs, project layouts and contract documents in accordance with company design standards and client requirements. According to project size, may be responsible for the project team in the production of projects in time, within budget, and of high technical quality by performing the following duties. ESSENTIAL DUTIES & RESPONSIBILITIES • Designs and specifies equipment, facilities, components, and systems for the railroad and transit, and aviation and general infrastructure industries., • Participates in the execution of specific engineering studies, design analyses and cost estimates., • Participates in client meetings and performs on-site inspections during construction and coordinates design requirements with contractors and equipment suppliers under the direction of the senior technical staff., • Capability to design drawing, write and review specifications, and develop calculation reports., • Uses computer assisted engineering and design software and equipment to perform engineering tasks., • Utilizes and assists less experienced staff in understanding company technical policies and procedures during the execution of projects for clients., • Participates in the execution of the design process on assigned projects and requests assistance from senior technical staff when needed., • Assists the design team in the coordination of project design with other disciplines., • Participates in the review of shop drawings, product data, RFI, and records changes., • Coordinates design requirements with outside consultants and contractors as necessary., • Performs activities to ensure that construction, installation, and operational testing conform to functional specifications and customer requirements., • Responsible for knowledge of company technical policies and procedures. EDUCATION & EXPERIENCE • Bachelor's (B.S.) Engineering degree in Electrical Engineering from four-year college or university from an accredited program, • A minimum of 0-2 years of related experience., • EIT in process or interest in taking FE exam., • MEP experience preferred 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 Know Your Rights notice from the Department of Labor. California Privacy Notice: If you are a California resident, please review our California Applicant Privacy Notice to learn how we collect, use, and disclose personal information during the recruiting process: click here

\n Job Description \n En-Tech Infrastructure is seeking an experienced Field Engineer in Closter, NJ. \n \n En-Tech, a subsidiary of Azuria, is a leading worldwide provider of cured-in-place pipe (CIPP) and other technologies and services for the rehabilitation of pipeline systems. En-Tech's businesses consist of sewer, drinking water, and energy and mining pipeline rehabilitation and protection. The company provides cost-effective solutions to remediate operational, health, regulatory and environmental problems resulting from aging and defective pipelines. Insituform's technologies allow its customers to avoid the extraordinary expense and extreme disruption that can result from traditional "dig and replace" methods. For more details, visit https://www.azuria.com/en-tech-infrastructure \n \n Responsibilities: \n\n • Provide oversight and project support for production, safety, quality and project management standards\n, • Responsible for pre-bid site surveys, contract execution/project start-up, and closeout\n, • Work with field crews and subcontractors to track and manage project costs, meet expected production rates and gross profit margins\n, • Attend pre-bid, pre-construction and project status meetings with our customers\n, • Prepare, submit and track Submittals and RFI’s\n, • Assist with scheduling jobs\n, • Prepare scopes of work and assist with awarding of Subcontracts\n, • Handle material procurement jobsnow\n\n \n Qualifications: \n\n • Bachelor's degree in Engineering or Construction Management and 2+ years of related field construction management experience OR 5+ years of field construction experience managing an annual $1MM portfolio of projects.\n, • Demonstrated success managing multiple projects simultaneously.\n, • Solid understanding of the basic principles in Accounting/Finance strongly preferred\n, • Previous experience in water/sewer or municipal environment is a plus\n, • Must have a solid understanding of Microsoft Word & Microsoft Excel\n, • Primavera and JD Edwards software experience a plus\n, • Strong focus on customer satisfaction required\n, • Must be able to travel as needed (approximately 25%)\n\n \n We offer a competitive salary with career growth opportunities and a full benefits package including medical, dental, and vision Insurance, prescription drug coverage, annual bonus potential, 401k matching, tuition assistance, paid time off, and much more. \n \n Azuria is an Equal Opportunity Employer. Equal opportunity is a sound and just concept to which Azuria is firmly bound. Azuria will not engage in discrimination against, or harassment of, any person employed or seeking employment with Azuria on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, non-disqualifying disability, status as a protected veteran or other characteristics protected by law. \n \n VEVRAA compliant – priority referral Protected Veterans requested

Job DescriptionAbout HumanSignal Real-world data is the competitive edge in AI. HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide. We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out. If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk. Job Description: We are seeking a talented Support Engineer to join our team and provide exceptional technical support for our industry-leading data labeling software. As a Support Engineer, you will play a crucial role in ensuring the seamless operation of our platform and assisting our clients in resolving any technical issues they encounter. You will work closely with our product and engineering teams to deliver prompt and effective solutions, contributing to the overall success of our product. As our team scales, this role will play a critical part in advancing our support maturity—improving processes, strengthening our ability to deliver proactive support, and contributing to internal tooling and automation. Responsibilities: • Provide technical support to clients via email and support tickets, addressing inquiries related to the installation, configuration, and usage of Label Studio., • Diagnose and troubleshoot software issues reported by clients, utilizing debugging tools and logs to identify root causes and implement timely resolutions., • Collaborate closely with Product, Engineering, and Customer Success to drive issue resolution., • Create internal and external documentation to improve support quality and self-service., • Proactively identify opportunities for process improvements and contribute to the continuous enhancement of our support procedures and workflows., • Provide structured, high-quality customer updates throughout investigations. Requirements: • 3–5 years in technical support or support engineering for a SaaS or developer-focused product., • Strong debugging skills across cloud environments, APIs, browser issues, and containerized systems., • Proficiency in Python or Javascript programming language for scripting and automation tasks., • Strong understanding of cloud computing platforms, particularly AWS (Amazon Web Services), including services such as EC2, S3, Lambda, and IAM., • Familiarity with machine learning concepts and frameworks, with experience working with ML models preferred., • Excellent problem-solving skills and ability to analyze complex technical issues., • Exceptional communication skills, both written and verbal, with a customer-centric approach., • Ability to thrive in a fast-paced environment, managing multiple priorities effectively and meeting tight deadlines., • Strong teamwork and collaboration skills, with the ability to work cross-functionally with engineering, product management, and customer success teams. Preferred Qualifications: • Experience with Kubernetes, container orchestration, or infrastructure debugging., • Knowledge of ML/AI workflows or data labeling pipelines., • Familiarity with Agile development methodologies., • Familiarity with REST APIs and integrating with external services. At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range for the United States is $75,000 to $90,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: Get Data In (GDI) Integrations Content team at Next Gen-SIEM is responsible for building out of the box integrations for 3rd party products to ingest and parse data into SIEM platform. We are looking for a passionate Security Engineer with expertise in data ingestion and integration for SIEM. This role focuses on designing, developing, and maintaining out of the box data connectors for CrowdStrike Next-Gen SIEM, ensuring seamless ingestion of security data from various third-party products. The ideal candidate has hands-on experience in cybersecurity, data ingestion pipelines, log collection mechanisms, and security event processing. You should be well-versed in industry-standard data ingestion and integration methods and possess strong knowledge about security products and platform This role is hybrid, on-site at our NYC Office Location. Candidates should be comfortable visiting the office twice a week once the development center is established. What You'll Do: Evaluate, develop, maintain, and enhance data connectors and parsers to ingest data from third-party security products into CrowdStrike Next-Gen SIEM Set up and maintain a lab or test environment for security products to validate data connectors and troubleshoot issues Troubleshoot and resolve issues with existing data connectors to ensure reliable log ingestion Collaborate with internal teams to define efficient logging, error handling, data normalization and documentation for data connectors Research and implement best practices for ingesting security logs from Firewalls, IDS/IPS, Cloud Security products, Endpoint Security, and other security products and platforms Write and maintain high-quality technical documentation for integration methods and troubleshooting guides Provide on-call support for critical data ingestion issues and production incidents Work with customers, customer success and customer support teams to troubleshoot and resolve data ingestion-related issues and ensure effective communication What You'll Need: Bachelor’s or Master’s degree in Computer Science or related field or equivalent work experience. 6+ years of experience in cybersecurity and SIEM integrations Experience in developing data connectors or ingestion pipelines for SIEM platforms such as Splunk, Sentinel, Exabeam, QRadar etc. Experience in security data normalization schemas, parsing and data enrichment Experience in setting up and managing environments for security products such as Firewalls, IDS/IPS, EDR, CASB, Identity Security, Email Security etc. Experience with security events and its formats such as Syslog, CEF, LEEF, JSON, XML Working knowledge of log processing or shipping tools such as Cribl, Splunk forwarder, Azure monitoring agent, LogScale log collector etc. Working knowledge on cloud-native logging services such as AWS CloudWatch, Azure Monitor, or GCP Logging Proficiency in at least one programming language, preferably Python or Go Strong documentation, communication and customer interaction skills Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. #LI-SS1 Benefits of Working at CrowdStrike: Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at _ for further assistance. _ CrowdStrike participates in the E-Verify program. _ _ CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $120,000 - $180,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off. For detailed information about the U.S. benefits package, please _.

Job Description We believe the traditional CS model of adding headcount as customers scale is broken in the AI era. We're looking for one extremely high-leverage person who can be a 10 to 100x multiplier on customer success — not an army of junior CSMs. This role sits at the intersection of operations, product, and engineering. You'll own the problem of getting customers from signed contract to fully activated as fast as possible, then build the systems, automations, and tools to make that process scalable. You'll own a handful of accounts to stay close to the customer experience while spending most of your time productizing what's currently manual. Responsibilities • Build automations, internal tools, and AI-powered workflows to scale customer onboarding and support, • Own the full activation journey: HRIS setup, competency creation, first value delivered, • Manage a small portfolio of accounts to maintain direct customer exposure, • Partner with engineering to translate customer friction into product improvements, • Create structured playbooks and processes for a growing team, • Eventually hire and manage support resources (including potentially offshore) Qualifications • AI-native operator: You use AI tools naturally in your day to day — not just ChatGPT, but building real solutions with tools like Claude, Lovable, or Replit. You're comfortable enough to spin something up for a customer without needing an engineer., • Zero-to-one builder: You've built something recently with AI tools and you're excited about what's now possible., • Leverage-focused: You'd rather design a process that handles 100 customers than personally shepherd 10. You build systems so the work scales without you., • Startup DNA: Co-founder experience, early employee at a high-growth company, or a consulting background where you've had to figure things out without a playbook., • Strong communicator: You can run a customer call independently and translate technical concepts clearly to non-technical audiences., • Experience: 3 to 6 years with a mix of structured analytical training (consulting, IB, PE, or similar) and hands-on operator experience at an early-stage startup. You've worn multiple hats and figured things out without a playbook., • Experience at McKinsey & Company or Bain & Company is a nice to have

Job Description About Giftogram Giftogram is the leading B2B digital gift card and rewards platform, helping companies send meaningful incentives, recognition, and rewards at scale. We work with enterprise clients across industries and integrate with the tools their teams already use — HubSpot, Salesforce, Slack, Workday, and more. We're a fast-moving team that operates with intention, and we're looking for someone to help us harness AI to do our best work. About the Role We're hiring an AI Operations Manager who thinks like an engineer but wants to operate like a business builder. This role is purpose-built for analytically minded people who are excited about applying their technical foundation — not to write code all day, but to architect systems, solve operational problems, and drive real business outcomes across a revenue organization. If you have a background in CS, engineering, math, or science and you're drawn to the idea of being the person who brings AI into how a company actually works — not just how it's built — this role was designed for you. You'll report to our Head of Revenue and work closely with our GTM teams — sales, marketing, and customer success — to identify where AI can eliminate friction, accelerate output, and improve outcomes. You'll build the workflows, manage the tools, and train the team to actually use them. Is This Role For You? This role is a strong fit if you: • Have a technical or analytical foundation and want to apply it in a business context, • Are genuinely excited about AI as a force multiplier for operations — not just as a subject to study, • Want ownership and visibility across an entire organization, not a ticket queue or a sprint backlog, • See the convergence of AI and business operations as where the most interesting work is happening right now, • Are looking for a career path, not a placeholder This is probably not the right fit if you're primarily motivated by building software or if you're looking for a role where deep coding is the core of the work. We want someone who is energized by what comes next — and ready to own it. What You'll Do • Build AI workflows and automations: across our GTM stack — including HubSpot, Slack, and connected tools — using platforms like Claude, ChatGPT, Zapier, and Make, • Identify and prioritize AI use cases: across sales, marketing, and customer success by working directly with team leads to understand day-to-day friction points, • Create and maintain prompt libraries, SOPs, and playbooks: so AI usage is consistent, repeatable, and scalable across the team, • Manage AI tool vendors and subscriptions: evaluate new tools, own renewals, and ensure we're getting ROI on what we're paying for, • Train and enable the team: on AI tools and best practices through hands-on sessions, documentation, and ongoing support, • Monitor and report on AI adoption and impact: tracking how workflows are being used and what's actually moving the needle, • Stay current on the AI landscape: and bring relevant developments and tools to leadership's attention proactively What We're Looking For • Background in CS, engineering, mathematics, data science, or a related technical field, • Genuine hands-on experience with AI tools like Claude, ChatGPT, or similar — you use these daily, not occasionally, • Familiarity with automation platforms (Zapier, Make, or similar) and CRM/GTM tools (HubSpot experience is a plus), • 1–3 years of experience in an operational, analytical, or business-facing role — or a strong internship/project record that demonstrates this orientation, • Strong communicator who can translate technical concepts for non-technical teammates, • Highly organized, self-directed, and comfortable operating in a fast-moving environment Bonus Points • Experience building HubSpot workflows or integrations, • Familiarity with AI prompt engineering or building Claude/GPT-powered automations, • Prior exposure to B2B SaaS, rewards, incentives, or a revenue-driven business What We Offer • Competitive base salary based on experience, • A front-row seat to how a modern B2B company builds its AI muscle — with real ownership over making it happen, • Direct access to leadership and the ability to shape how this function grows as AI becomes central to everything we do

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: We are seeking an Engineer Manager to be part of the GDI (Getting Data In) group under NG-SIEM with a focus on data ingestion at petabyte-scale. The group focuses on the data ingestion and onboarding experience for NG-SIEM customers, ingesting several petabytes of data per day across multiple regions from 300+ 1st party and 3rd party data sources. You will be driving our goal to scale to 100s of PB of data ingest per day at sub-second latencies. You will be leading a team of 6+ engineers focused on a building petabyte scale ingestion platform. You will have a chance to work on large-scale distributed systems. You will be leading key product initiatives that will require you to collaborate cross-team across other data platforms and product teams in CrowdStrike. This role is hybrid, requiring 2-3 days per week on-site from our NYC Office. What You'll Do: • Lead a group of 6+ engineers to solve hard problems in distributed systems, including high availability, reliability, performance and cost optimizations to build an industry leading data ingestion platform., • Own the team’s roadmap and quarterly OKRs., • Instill and maintain a culture of operational excellence in the team to support globally available, multi-region systems in production. Help define and uphold the teams SLOs, • Regularly engage with stakeholders such as product management, customer success and support., • Lead by example with customer and product focus., • Maintain a high bar for talent and accountability for the engineers in the team, • Our systems and customers are operating globally and 24/7 so you must bring your excellent verbal and written communication skills to bear when you are working with teams across the globe. You’ll also travel a few times every year to meet with your teams and peers. What You'll Need: • Must be a U.S. Citizen or US Permanent Resident., • A strong technical background, including experience architecting, designing, and developing distributed systems products/releases, preferably in a large-scale cloud environment, across all phases of the development lifecycle., • 2+ years of experience managing teams of 6+ individual contributors and delivering multiple major milestones of products. Demonstrated track record of building strong engineering teams., • Demonstrated track record of operational excellence when operating services that span many components across several geographical regions., • History of positive impact on customer experience and business results., • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. Bonus Points: • Experience in large-scale (distributed) system architecture, high scalability and availability, and optimization, • Experience with Stream Processing, Kafka or similar technologies #LI-SS1 This role will require the candidate to periodically undergo and pass additional background and fingerprint check(s) consistent with government customer requirements. Benefits of Working at CrowdStrike: Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at _ for further assistance. _ CrowdStrike participates in the E-Verify program. _ _ CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off. For detailed information about the U.S. benefits package, please _.

Senior Director, AI Engineering -Agentic AI Platform(Remote Eligible)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI.\n, • Define and drive enterprise-wide AI strategy, aligning product, research, risk, and data organizations around shared technical and ethical principles\n, • Establish a multi-year roadmap for scalable, reliable, and compliant AI systems that serve as shared infrastructure across the enterprise\n, • Champion Responsible-AI, ensuring ethical, transparent and explainable model practices are embedded in all lines of business\n, • Oversee the scaling of AI operations - including model lifecycle management, observability, and cost efficiency - across hundreds of production use cases\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example \n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Capital One is open to hiring a Remote or Hybrid Employee for this opportunity. If the role is designated as Hybrid, you are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. If the role is designated as Remote, you are expected to adhere to Capital One's Remote Worker Expectations \n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies\n, • At least 5 years of people leadership experience\n\n \n Preferred Qualifications: \n\n • 7+ years of experience managing and leading an engineering team\n, • 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Demonstrated experience leading leaders and multiple AI engineering organizations across product, platform and applied research domains\n, • Proven success in building enterprise-scale AI platforms and capabilities serving diverse business lines and customer use cases\n, • Ability to influence executive leadership on AI investment strategy, organizational design, and risk management priorities\n, • Experience establishing external partnerships or thought leadership presence in AI industry, academia, or open-source communities\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Remote (Regardless of Location): $286,200 - $326,700 for Sr. Director, AI Engineer\n \n Cambridge, MA: $314,800 - $359,300 for Sr. Director, AI Engineer\n \n McLean, VA: $314,800 - $359,300 for Sr. Director, AI Engineer\n \n New York, NY: $343,400 - $392,000 for Sr. Director, AI Engineer\n \n San Francisco, CA: $343,400 - $392,000 for Sr. Director, AI Engineer\n \n San Jose, CA: $343,400 - $392,000 for Sr. Director, AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Staff AI Engineer\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams\n, • Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads\n, • Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design\n, • Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies\n, • At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems \n, • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks\n, • Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency\n, • Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization\n, • Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility \n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n ion. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer\n \n McLean, VA: $269,100 - $307,200 for Staff AI Engineer\n \n New York, NY: $293,600 - $335,100 for Staff AI Engineer\n \n San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer\n \n San Jose, CA: $293,600 - $335,100 for Staff AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Staff AI Engineer (Remote Eligible)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams\n, • Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads\n, • Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design\n, • Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown.\n\n \n Capital One is open to hiring a Remote Employee for this opportunity \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies\n, • At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems \n, • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks\n, • Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency\n, • Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization\n, • Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility \n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer\n \n Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer\n \n McLean, VA: $269,100 - $307,200 for Staff AI Engineer\n \n New York, NY: $293,600 - $335,100 for Staff AI Engineer\n \n San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer\n \n San Jose, CA: $293,600 - $335,100 for Staff AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Forward Deployed Specialist Location: Remote (US) | Type: Contract, Full Time | Experience: 3+ years About the Role We're hiring Forward Deployed Specialists to make sure AI projects get adopted once they're built. You'll work directly with client teams to find the use cases worth pursuing, shape how the solution fits their daily work, and stay close enough after launch to prove it's paying off. You'll pair with Forward Deployed Engineers on full-time contract engagements with enterprise teams in industries like energy, healthcare, financial services, and industrial operations. You own the business side of the deployment: discovery, workflow design, configuration, training, and measuring results. You don't need to be a software engineer, but you should be at home in a spreadsheet, a SQL query, or a prompt, and able to hold your own in a room with engineers. If you come from consulting or operations and have watched good technology go unused because nobody owned the rollout, this role is that owner. What You'll Do • Lead discovery with client stakeholders to map workflows and pick the use cases with the clearest payoff, • Translate what you hear into requirements an engineer can build against, • Configure and test AI tools and workflows, including writing and refining prompts, • Train end users and build internal champions, because change management decides whether a rollout sticks, • Track adoption and ROI with real data, then turn it into a story leadership can act on, • Serve as the client's day-to-day point of contact on scope, timelines, and expectations, • Field feedback goes back to the engineers from you, so the next iteration fixes what users actually hit Qualifications Background • 3+ years in management or technology consulting, solutions consulting, implementation, or enterprise customer success, • Strong structured problem solving: you can walk into a messy process and come out with a clear plan, • Data fluency in Excel or Google Sheets, with SQL or Python a plus, • Hands-on use of current AI tools (ChatGPT, Claude, Copilot, or similar) in your own work, and a point of view on where they help and where they don't, • Clear writing and presenting, with executives and frontline teams alike, • Comfortable juggling several stakeholders and some ambiguity without losing the thread Nice to Have • Took an AI deployment, automation project, or enterprise software rollout from kickoff to adoption, • Industry background in healthcare, energy, financial services, or industrial operations, • Project management or change management experience Why Join Us You'll work alongside engineers and strategists who've delivered AI across a lot of enterprise environments, and you'll be the reason the work lands with the people it's built for. It's a role with real ownership and direct access to client leadership. New engagements open on a rolling basis. Apply once and we'll match you to the ones that fit your background. To apply, click Apply on LinkedIn

Staff AI Engineer - Enterprise Analysis Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is currently working on building a new AI native platform to empower our broader business community to execute AI assisted analysis across our many lines of business. We are building an AI native, at-scale (15,000+ users at destination), enterprise platform intertwining deterministic code with non-deterministic reasoning systems as well as both frontier and home grown AI models, to transform how our company works in the data analysis space. What You’ll Do: • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One., • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc., • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more., • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One., • Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams, • Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads, • Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design, • Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds The Ideal Candidate: • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, • At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: • Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy, • 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems, • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost, • Experience in building agentic AI systems and agentic workflows, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers, • Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks, • Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency, • Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization, • Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Creative Director / Head of Fine Jewelry Design & AI Innovation. Company: AJS Creations Location: Secaucus, New Jersey, or New York City Annual Base Salary: $200,000 Reports to: Founder Travel: Regular travel to India studios and manufacturing facilities Build the next generation of jewelry design Can you use AI to spot an emerging jewelry trend, explore its creative possibilities, and apply years of industry experience to select the designs customers will want to buy? AJS Creations, the parent company of Clean Origin, Grown Brilliance, Jewlr.com, and Charles & Colvard, is seeking a Group Head of Design & Trend to build and lead an AI-native design studio across our portfolio. We are looking for an accomplished fine jewelry design leader who already uses AI extensively—and has ambitious, practical ideas for taking it further. AI must be integral to how you research, develop concepts, evaluate options, direct your team, and learn from customers. You will combine emerging technology with deep expertise in jewelry, craftsmanship, and consumer taste to decide what we should make next. Your mandate Build a studio where AI is embedded throughout the creative workflow: Discover trends → develop concepts → generate variations → curate designs → engineer and sample → test → refine and scale. You will establish how this process works across our U.S. and India teams, connecting creative direction with the group’s existing design and manufacturing capabilities. Your industry experience will be essential at every decision point. You must know which AI-generated ideas have originality, which fit a particular brand, which can be manufactured beautifully, and which have a credible commercial opportunity. Four brands. Distinct creative identities. Your work will span: • Clean Origin: Diamond bridal and fine jewelry grounded in thoughtful design, quality, and transparency., • Grown Brilliance: Modern lab-grown diamond luxury, from engagement rings to expressive fine jewelry and contemporary heirlooms., • Jewlr.com: Personalized jewelry built around individual stories, meaningful details, and gifting., • Charles & Colvard: Moissanite and lab-grown diamond fine jewelry, including Forever One™ and Caydia®. You will use AI to explore opportunities across this portfolio while protecting each brand’s distinct customer, aesthetic, and price positioning. What you will lead Create an AI-powered trend intelligence engine Develop new ways to identify emerging demand by connecting signals from search, social media, runway, red carpet, bridal culture, competitor launches, customer feedback, and sales performance. Use AI to synthesize these inputs, uncover patterns, and surface opportunities earlier. Apply your experience to distinguish meaningful shifts from short-lived noise and turn the strongest signals into specific design briefs. Make AI part of everyday design development Personally use—and lead the team in using—generative image tools, AI-assisted research, rendering, and design exploration throughout the working day. Build workflows that move rapidly from an initial direction to a broad range of silhouettes, stone combinations, settings, proportions, and collection concepts. Establish repeatable methods that the wider team can use consistently. Bring expert judgment to selection and refinement Curate the strongest concepts against clear criteria: brand fit, originality, customer appeal, wearability, manufacturability, price, and commercial potential. Know when an attractive image represents a compelling piece of jewelry—and when its construction, proportions, or economics need substantial work. Translate a trend differently for a $300 personalized gift and a $10,000 bridal piece. Connect AI exploration with production expertise Lead the New York team and direct design priorities across the India design organization. Partner with the Technical Design Lead, CAD designers, and manufacturing teams to turn selected concepts into technically sound CAD and samples. Create a dependable handoff between AI-generated imagery and production development, with rigorous review of settings, stone tolerances, metal weight, durability, and cost. Build a continuous learning loop Use AI-assisted analysis of sell-through, search behavior, customer response, and channel performance to improve design decisions. Test promising concepts, refine the assortment, and expand successful collections. Feed what you learn back into trend research and future briefs. Keep improving how the studio works Actively discover and test new tools. Measure their contribution to creative quality, development speed, and team productivity, and adopt those that deliver meaningful improvements. Set clear standards for responsible tool use, protection of proprietary designs, and review of generated work. What you bring Demonstrated AI fluency is essential You should be able to show us: • Extensive current use of AI in your own creative work, including research, concepting, visual development, and refinement., • Workflows you have built or substantially improved using AI, with clear examples of the process and its results., • Innovative approaches to trend discovery, including how you combine multiple sources of information to identify opportunities., • Strong creative direction of generative tools: the ability to guide, iterate, critique, and curate outputs toward a specific commercial brief., • A practical understanding of AI’s limitations, including unreliable research, derivative concepts, and jewelry imagery that cannot translate directly into production., • The ability to teach and lead others, making effective AI use a daily team capability. We expect concrete examples of your work, your decisions, and the improvements you achieved. Deep jewelry expertise is equally important • 12+ years in fine jewelry design, including 5+ years leading design teams., • A portfolio of commercially successful collections, with a clear explanation of your contribution and results., • Deep knowledge of bridal and fashion jewelry, diamond shapes and cuts, settings, precious metals, and gemstones., • Experience with lab-grown diamonds and an understanding of natural diamonds and moissanite., • Experience designing across multiple brands, customer segments, and price points., • Hands-on proficiency with jewelry CAD tools such as Matrix, Rhino, or ZBrush, supported by strong manufacturing knowledge., • Experience working with international production teams; experience with India is especially valuable., • Strong understanding of the U.S. jewelry consumer and how product needs differ across e-commerce, stores, marketplaces, live commerce, and retail partners. What success looks like In your first 90 days, you will: • Assess each brand’s assortment, customer, sales performance, and existing design process., • Establish clear design identities and creative priorities for the portfolio., • Put an initial AI-powered trend research and concept development workflow into daily use across both locations., • Move a first capsule collection through the new workflow, from trend insight to curated concepts, CAD, and samples, ready for customer testing. Over your first year, you will deliver: • A functioning AI-native studio with measurable adoption across the team., • Faster development from trend discovery to sample., • Stronger commercial performance from new designs., • Clearer differentiation between brands., • Greater creative exploration and higher-quality output per designer. Why join AJS Creations This is an opportunity to shape how a multi-brand jewelry business discovers trends and develops products. You will have access to established brands, experienced design teams, manufacturing capabilities, and direct engagement with the Founder. You will have the scope to introduce new methods, test your ideas in the market, and see your creative decisions become products customers wear and cherish. We want someone excited to build that capability—and curious enough to keep advancing it. How to apply Apply through LinkedIn with your résumé and portfolio. Alongside examples of successful jewelry collections, include a brief case study showing how you used AI to move from research or trend discovery to design development. Explain the tools you used, the workflow you created, the decisions you made, and the results. Please share only work and information you are authorized to disclose. Bring your jewelry expertise, your AI fluency, and your vision for what a modern design studio can become. AJS Creations is an equal opportunity employer. We welcome applicants from all backgrounds and provide reasonable accommodations throughout the recruitment process.

Mechanical Solutions, LLC (MSI) and UPS are seeking a Sales Engineer to convert customer equipment challenges into well-scoped technical solutions and executable proposals. The Sales Engineer combines customer discovery, engineering judgment, estimate development, and sales follow-through, supporting established MSI customers and new opportunities introduced through the UPS network. The position partners with MSI technical departments, UPS sales, and project delivery teams to ensure that every proposal is technically credible, commercially sound, and ready for execution. Key Responsibilities: Technical Sales and Discovery • Engage customers and UPS account teams to understand equipment history, symptoms, operating conditions, urgency, and the decision process., • Identify appropriate MSI capabilities, such as vibration and rotor dynamic analysis, field testing, troubleshooting, design analysis, and advanced diagnostics; connect related UPS field services when relevant., • Coordinate with subject matter experts to develop a practical approach and identify information, access, instrumentation, or testing needed to perform the work., • Participate in customer meetings, site visits, presentations, and technical discussions; explain recommendations without overclaiming results. Scoping and Proposals • Prepare or coordinate technical scopes, deliverables, schedules, assumptions, exclusions, labor and equipment estimates, and supporting proposal content., • Obtain technical and operations review of unusual methods, resource needs, delivery dates, and risk before committing to customers., • Work with the director on pricing and margin recommendations, approval routing, proposal revisions, and negotiations., • Maintain proposal and opportunity status in agreed systems and hand off accepted work to project delivery with a clear record of commitments. Customer and Commercial Follow-Through • Follow up on proposals, document customer feedback and win-loss reasons, and help develop repeat work and broader account plans., • Coordinate with VibVue Product Management when camera-based diagnostics or recurring analysis fits the application., • Provide technical input for sales materials, case studies, and training of UPS account teams. Preferred Background: • Experience with pumps, compressors, turbines, motors, gearboxes, or other rotating equipment., • Familiarity with vibration testing, instrumentation, reliability engineering, or machinery troubleshooting., • Experience with engineering consulting or high-mix project-based services., • Qualifications:, • Bachelor’s degree in mechanical engineering or a related discipline, or equivalent applied experience., • Experience in technical sales, applications engineering, project engineering, or field services for industrial equipment., • Ability to translate a technical problem into a scoped, costed proposal and communicate clearly with customers and internal specialists., • Comfort working with estimates, spreadsheets, CRM or quote logs, and multiple simultaneous customer requests., • Willingness to travel to customer facilities, including industrial sites. Key Success Measures: • Timely, complete, and technically credible proposals with appropriate delivery review., • Growth in qualified opportunities, proposal conversion, bookings, and repeat customer work., • Accurate opportunity and handoff information, including scope, dates, and commitments., • Positive feedback from customers and delivery teams on technical and commercial coordination. Benefits Offered: • Medical/Dental/Vision, • Health Savings Account, • Short-term disability, • 100% employer paid Long-term Disability, • 100% employer paid life insurance, • 401K match, • Paid time off, • Employee Assistance Program EEO Statement: Universal Plant Services is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

Company: SimplifyVMS Location: Jersey City, New Jersey. Role type: Full-time, hands-on individual contributor About the role SimplifyVMS is building an AI-first platform for managing the contingent workforce. We are looking for an exceptional and passionate engineer to own the design and delivery of our next-generation reporting and analytics product that will replace our current reporting/analytics platform. We are working in a hyper speed mode and looking for someone who can fit this culture. Time is of essence in the world of AI. This is a builder role, and you will leverage tools like cursor and Claude to automate the entire software development. You will turn complex VMS data into trusted, fast, intuitive analytics for customers. The initial goal is to deliver a production-ready reporting foundation, a flexible self-service report builder, and approximately 60–70 standard reports. We want to make substantial progress within the first 60 days by using AI development tools effectively, reusing sound reporting patterns, and making focused product decisions. You will work directly with product and business stakeholders, take ownership of technical decisions, and write production code yourself. You should be comfortable moving quickly without compromising data accuracy, tenant security, or maintainability. What you will own • Design the reporting architecture, including data ingestion, transformation, analytical data models, metrics, APIs, and the user-facing reporting experience., • Build a self-service report builder that lets authorized users select fields and metrics, apply filters, group and sort results, create visualizations, and export reports., • Deliver a catalog of approximately 60–70 standard reports by defining reusable datasets, metrics, templates, and report configurations., • Translate VMS concepts—including requisitions, submissions, placements, assignments, timesheets, spend, suppliers, rates, and program performance—into consistent, documented reporting definitions., • Establish strong tenant isolation and role-based access so customers see only the data they are entitled to access., • Optimize report performance and data freshness for large customer datasets., • Build automated tests and reconciliation checks that compare report results with source transactions and existing reports., • Evaluate where existing analytics components can accelerate delivery and where a native SimplifyVMS experience is needed., • Use Cursor and other AI coding tools to accelerate development while personally reviewing architecture, generated code, tests, security, and results., • Demonstrate working software frequently, incorporate customer and stakeholder feedback, and own the platform through launch. First 60 days Weeks 1–2: Understand the SimplifyVMS data model and existing reports; agree on definitions for critical metrics; deliver an end-to-end report using real data with correct tenant permissions. Weeks 3–4: Establish the reporting data model and reusable metrics; deliver the first set of priority reports and a working version of the report builder. Weeks 5–8: Expand the standard report catalog, improve builder capabilities, validate results with business owners, test performance and access controls, and release an initial production version. Success will be measured by accurate, usable reports and a durable foundation for future analytics—not by generating 70 report screens that cannot be trusted. What we are looking for • Significant experience building production data, analytics, or reporting products, ideally in a multi-tenant B2B SaaS environment. Number of years of experience does not matter. What matters is your ability to deliver an exceptional reporting/analytics platform that will define the future of the industry., • Strong hands-on software engineering ability across backend services, SQL, data modeling, APIs, and modern web applications., • Experience building configurable reporting, embedded analytics, business intelligence, or customer-facing dashboards., • The ability to design reliable ingestion and transformation pipelines and make practical decisions about data freshness, scale, and cost., • Deep understanding of permissions, tenant isolation, sensitive data handling, and secure query design., • Experience using AI coding tools to deliver substantially faster while maintaining engineering discipline., • Strong product judgment: you can turn ambiguous requests into reusable capabilities instead of one-off reports., • A track record of independently taking a complex product from architecture to production., • Clear communication, urgency, ownership, and comfort working directly with business stakeholders. Particularly valuable experience • Contingent workforce, VMS, staffing, MSP, procurement, or HR technology data., • ClickHouse, Superset, Kafka, Debezium, or comparable analytics and data pipeline technologies., • Designing semantic layers, metrics catalogs, report templates, and natural-language analytics., • Building analytics products on AWS and integrating them into an existing SaaS application. Why this role matters Reporting is a core product capability for SimplifyVMS. The right person will do more than produce dashboards: you will create the data and analytics foundation that helps customers understand their workforce, make better decisions, and eventually interact with their data through AI. This is an opportunity for a highly capable engineer to own a meaningful product from the start.

Support Engineer | Solve It With Customers, Automate It With AI | NYC Start-Up The Opportunity You’ll be the engineer customers turn to when something goes wrong on the platform. You’ll work directly with them to understand the problem, find the root cause and fix it fast. Then you’ll use AI to make sure it never happens again. Every issue you solve becomes something the platform learns from. You’ll turn your fixes into knowledge, tools and workflows for our AI agents, so the next customer with the same problem gets an instant answer. The goal is simple: fix it once, automate it forever. What You’ll Do • Work closely with customers to understand and resolve their technical issues, • Investigate and debug problems across the product, APIs, integrations and data, • Build the knowledge, tools and workflows that let the AI agents fix these issues on their own, • Keep improving how well the AI diagnoses and resolves customer problems, • Solve technical issues end to end, • Spot patterns across customers and eliminate recurring issues for good About You You’re a hands-on engineer who loves working with people as much as code. When a customer has a problem, you want to understand exactly what’s going on, explain it clearly and get it fixed. You have 1–5 years’ experience in software engineering, customer success engineering, solutions engineering or a similar client-facing technical role. You’re confident writing code and working with APIs, databases and SQL, and you’re excited about building with AI agents and automation. Most importantly, you’re resourceful. You like figuring things out, taking ownership and working where there isn’t always a playbook. Why Join? You'll be joining a high-growth NYC technology start-up at an exciting stage of its growth. The team is technically strong, ambitious and moving quickly, with a culture built around ownership and solving problems rather than following a rigid playbook. You'll have the opportunity to work closely with senior leadership and engineering, take real ownership from day one and help shape the product as the company scales. The Company You’ll be joining a high-growth NYC tech start-up at a really exciting point in its journey. The team is technically strong, ambitious and moves fast. The culture is built on ownership and solving problems, not rigid playbooks. You’ll work closely with senior leadership and engineering, own real work from day one and help shape the product as the company grows. Location New York City. Full-time, on-site 5 days a week. Compensation $120,000–$160,000 + equity If you’re an engineer who loves solving problems with customers and wants to use AI to stop them coming back, we’d love to hear from you!

About Cassidy At Cassidy, we’re building software that helps teams move faster by automating complex, high-leverage workflows with AI. Our platform enables teams to deploy AI agents and automations inside business-critical processes — not just to eliminate busywork, but to handle real operational workflows across the tools they already use. The Role Sales Engineers at Cassidy are trusted technical partners to our Account Executives and prospects. You’ll work directly with customers to understand their workflows, identify opportunities where Cassidy can drive real business impact, and bring those stories to life through thoughtful demos and solution design. This is a pivotal pre-sales role: part product expert, part consultant, part storyteller. You’ll be instrumental in helping customers understand not just what Cassidy does, but why it matters for their team. This role is based in New York City and requires working from our office. We value in-person collaboration and expect Sales Engineers to be on site working closely with the broader go-to-market team. What You’ll Do • Partner closely with Account Executives to support the full sales cycle, from discovery through close, • Lead technical discovery to deeply understand customer workflows, requirements, and success criteria, • Design and deliver compelling, outcome-driven demos tailored to each customer’s use cases, • Build custom demo environments, configurations, or workflows that reflect real customer data and scenarios, • Act as a trusted advisor, helping customers evaluate tradeoffs and design solutions that fit their needs, • Support technical evaluations, pilots, and proof-of-concepts, • Answer technical questions related to integrations, security, data flows, and architecture, • Collaborate cross-functionally with Product, Engineering, and Customer Success to unblock deals and share customer feedback, • Contribute demo assets, best practices, and enablement materials to improve the Sales Engineering team over time What We’re Looking For • 4-8 years of relevant experience in a Sales Engineer, Solutions Engineer, or similar pre-sales role, • Experience working in mid-market or enterprise SaaS sales cycle, • Strong customer-facing skills — comfortable leading conversations with both technical and non-technical stakeholders, • Ability to translate complex technical concepts into clear, business-oriented explanations, • Experience working with modern SaaS products, APIs, integrations, or data-driven workflows, • Familiarity with CRMs, automation platforms, or AI-powered products is a plus, • Comfort building and delivering live demos that adapt to customer questions in real time, • Strong written and verbal communication skills, • A collaborative mindset and comfort working closely with cross-functional teams in person, • Bias toward action and ownership in fast-moving environments Why Cassidy • Work on a product customers genuinely love and rely on, • High-impact role with visibility across Sales, Product, and Engineering, • Competitive compensation, equity, and benefits, • A team that values clarity, speed, and thoughtful execution, • Real ownership — and the chance to shape how we sell as we scale

Embedded Linux & Edge Platform Engineer Location: New York, NY Employment type: Full-time Work arrangement: In person at Harmoni’s NYC office Reporting to: Engineering Lead Compensation: $130,000 - $170,000 base salary, plus equity and benefits. About Harmoni Harmoni is a manufacturing technology company building a new kind of operating system for the factory floor. Our factory orchestration platform connects machines, people, materials, and data in one intelligent operating layer. By combining real-time information, workflows, automation, and AI, Harmoni helps manufacturers improve throughput, reliability, and on-time delivery. We are a growing, highly collaborative team based in New York, NY, and Akron, OH. We are venture-backed and recently raised our Series A to accelerate the growth of our platform and team. We operate with a flat structure, move quickly, and give people meaningful responsibility for their work. This is an opportunity to help build the embedded platform powering thousands of connected industrial devices and real-time systems deployed in advanced factories. The Role Harmoni is looking for a hands-on Embedded Linux & Edge Platform Engineer to help build the software and hardware platform powering our connected industrial devices. This role sits at the intersection of embedded Linux, edge computing, containerized applications, device infrastructure, and hardware integration. You will work across the device stack—from bootloaders, kernels, and operating-system images to containers, applications, hardware interfaces, secure deployment, and over-the-air updates. You will contribute to our Yocto- and BitBake-based Linux distribution, Docker application stack, OTA infrastructure, embedded hardware, and applications written in languages including C, Python, JavaScript, and TypeScript. This is not a narrowly scoped firmware or hardware-design position. We are looking for an engineer who understands the device as a complete system and can move comfortably between embedded Linux, containers, application code, hardware, networking, and device operations. You will work closely with Harmoni’s engineering team, co-founders, Product, and Deployment. You must be comfortable working independently, navigating unfamiliar problems, and contributing across multiple layers of the stack. What You’ll Work On Embedded Linux and Device Platform • Develop Harmoni’s embedded Linux platform using Yocto, BitBake, and related tooling., • Maintain recipes, layers, board support packages, system configuration, and build infrastructure., • Configure and troubleshoot U-Boot, kernels, kernel modules, and device trees., • Support ARM-based platforms, board revisions, and device configurations., • Improve system reliability, security, performance, boot time, and maintainability., • Diagnose issues across the operating system, hardware, containers, and applications. Containers, OTA, and Fleet Infrastructure • Build, deploy, and troubleshoot Docker containers in resource-constrained edge environments., • Improve container lifecycle management, networking, storage, logging, and recovery., • Help develop reliable deployment patterns for interdependent services on remote devices., • Contribute to Harmoni’s complex OTA and fleet-management infrastructure., • Improve updates for operating-system images, containers, applications, and configuration., • Design for intermittent connectivity, power interruption, failed updates, compatibility, and rollback., • Improve staged rollouts, device targeting, observability, diagnostics, and recovery. Systems and Application Development • Build software across Harmoni’s edge application stack., • Work in the language best suited to the problem, including C, Python, JavaScript, and TypeScript., • Develop system services, device agents, command-line tools, APIs, diagnostics, and automation., • Integrate applications with Linux services, containers, hardware, and cloud infrastructure., • Write maintainable, well-tested software across different parts of the stack. Hardware Design and Integration • Contribute to hardware design, prototyping, board bring-up, and validation., • Create or review schematics and PCB layouts using Altium Designer., • Support component selection, design reviews, testing, and production readiness., • Integrate ARM systems, accelerators, sensors, cameras, controllers, and industrial equipment., • Develop and troubleshoot SPI, UART, USB, Ethernet, GPIO, and other interfaces., • Diagnose problems using software tools, debuggers, logic analyzers, oscilloscopes, and other lab equipment., • Help integrate GPUs, TPUs, and other accelerators used for edge AI workloads. Reliability and Engineering Operations • Help build systems that operate reliably in demanding industrial environments., • Improve monitoring, logging, diagnostics, provisioning, and remote troubleshooting., • Contribute to secure boot, image signing, device identity, and credential management., • Improve build systems, CI/CD pipelines, automated testing, and release tooling., • Support deployments and investigate issues in customer environments., • Document platform architecture, development workflows, and operational procedures. What Success Looks Like In Your First 90 Days • You develop a strong understanding of Harmoni’s technology and device architecture., • You can build, configure, provision, update, and troubleshoot a Harmoni device., • You become familiar with our Yocto environment, container stack, and OTA architecture., • You contribute production-quality improvements and help resolve issues across the stack., • You establish productive relationships across Engineering, Product, and Deployment. Over Time • Harmoni can reliably deploy and operate thousands of connected industrial devices., • Device updates are safe, observable, and recoverable., • Engineers can build, test, and release device software efficiently., • Devices remain dependable through network failures, interrupted updates, and power loss., • The platform supports new hardware, applications, and AI workloads., • Field issues can be diagnosed and resolved remotely with minimal customer disruption. What We’re Looking For We do not expect candidates to have worked with every technology in our stack. We are looking for engineers with deep experience in several of these areas and the ability to learn the rest. • Five or more years of relevant experience in embedded Linux, embedded systems, edge computing, or device infrastructure., • Strong experience developing and debugging embedded Linux systems., • Experience with Yocto, BitBake, or comparable embedded Linux build systems., • Deep proficiency with Linux, shell scripting, and command-line tooling., • Practical experience with Docker and containerized applications., • Proficiency in one or more languages, including C, Python, JavaScript, or TypeScript., • Experience with ARM systems, bootloaders, kernels, device trees, or board support packages., • Familiarity with interfaces such as SPI, UART, USB, Ethernet, or GPIO., • Strong debugging skills across hardware, operating systems, containers, applications, and networks., • Experience building or supporting software deployed on physical devices., • Comfort working independently in a fast-moving environment., • Strong communication and collaboration skills., • Willingness and ability to work full-time in Harmoni’s New York City office. Bonus Points • Experience with Balena, openBalena, balenaOS, or a similar platform., • Experience developing OTA infrastructure for remote device fleets., • Experience with rollback-capable device updates., • Experience with hardware design, board bring-up, and validation., • Experience creating schematics or PCB layouts in Altium Designer., • Experience moving embedded hardware from prototype through production., • Experience with secure boot, TPMs, hardware identity, or image signing., • Experience operating large fleets of connected devices., • Experience with edge AI, computer vision, GPUs, TPUs, or NPUs., • Experience with manufacturing technology, robotics, automation, or control systems. You do not need to match every bonus qualification. If you bring strong embedded Linux fundamentals, hands-on systems experience, and the ability to learn quickly, we encourage you to apply. The Right Person for This Role You are a systems thinker, builder, and relentless debugger - not someone who wants to work within only one narrow layer of the stack. Words like Yocto, ARM, U-Boot, kernel modules, device trees, cross-compiling, secure boot, OTA, SPI, UART, and Docker bring you joy. You are as comfortable investigating a boot failure as you are debugging a container, tracing a hardware-interface problem, or writing a deployment tool. When something fails, you want to understand why - not simply restart it and move on. You understand that factory software has different requirements from software running in a data center. Devices lose power. Networks disappear. Updates fail halfway through. Hardware behaves unexpectedly. You design for those realities. You do not need to be an expert in everything we use. You bring deep knowledge in several areas, strong engineering fundamentals, and the curiosity to learn the rest. Most importantly, you want to help build the platform connecting physical equipment, intelligent software, and the factory of the future.

Applications Engineer (On site) Location: Ramsey, NJ Join my client, a 100% employee-owned manufacturer and industry leader with 145 years of success. As an Applications Engineer, you’ll bridge engineering, manufacturing, and customer needs—turning complex technical data into practical solutions for high-performance electrical cable products that power critical infrastructure. Why You Should Apply • Join a stable, employee-owned company with over a century of innovation, • Collaborate with engineering, manufacturing, and technical experts, • Gain hands-on experience with advanced cable systems and standards, • Travel for customer presentations and industry meetings What You’ll Be Doing • Provide technical support for customer inquiries and engineering requests, • Develop and execute test plans with internal labs, • Interpret specifications (ICEA, IEEE, UL, NEC, ASTM, NEMA, etc.), • Partner with manufacturing and R&D to solve design challenges, • Participate in field installations and standards committees About You • Bachelor’s degree in Electrical Engineering, • CAD and Microsoft Office, • Strong communication and public-speaking skills, • Interest in hands-on, cross-functional engineering environments How To Apply We’d love to see your resume, but we don’t need it to have a conversation. Send us an email to tony@scientificsearch.com and tell me why you’re interested. Or, feel free to email your resume. Please include Job#19900

Forward Deployed Engineer (ML/Software) Visia | New York, NY | Hybrid | Full-time Base salary: $120,000–$160,000 per year Take a customer from the first site visit all the way to a system their plant relies on every day. You'll own everything in between: the cameras and compute on site, the vision models, and the value the customer actually sees in Visia’s physical intelligence solutions. The role Visia builds Solstice, which combines cameras, infrared, X-ray and more with compute on site and models we train on each customer's own material. Solstice runs with hundreds of industrial operators across the US, mostly steel mills, scrap yards, and recycling plants. Customers use it to catch things like non-metallic contamination in a mill's scrap feed, copper and motors mixed into shredded steel, and pressurized gas tanks before they cause an explosion. The hard part, and the reason this role exists, is that no two sites look the same. The material, the camera angles, what the customer counts as a good result all change from plant to plant, so a model that does well at one site almost always needs to be retrained on the next site's data before it holds up. You'll be the person doing that work and staying with the customer until they're getting the results they paid for. You'll report to Brandon, who runs Deployments, and work day to day with our ML engineers, our internal annotation team, and the Deployments Engineers who maintain the hardware fleet. Expect to be on site around 30–50% of the time. Some trips are a week of data collection or commissioning, some are a day walking a plant manager through results, and some come up on short notice because a camera needs re-aiming or an enclosure needs rewiring. What you'll do Agree on the target KPIs first. Run the kickoff calls and settle with the customer what success looks like before anything is installed. Get the site live. Bring up the cameras, edge compute, and first models, then fine-tune detection and segmentation models on the site's own frames. Improve the model with evidence. Go through the misses and false positives class by class, tune thresholds per camera, and ship a new model when the numbers show it's better. Work with our annotation team. Decide which frames to label and how, review their work, and feed back the hard examples the model keeps missing. Ensure quality. Package models for the GPUs we run on site and check that they behave the same in production as they did in testing. Own what operators see. Set up the dashboards, alerts, and laser marking the operators use, and make sure each one fires when it should. Manage customer expectations. Tell them what the system catches today, what it still misses, and when that will improve, and bring bad news early with a plan attached. Leave the next deployment easier. Write up what you fixed as tooling, checks, or playbooks so the whole team moves faster. Must-haves At least two to three years of full-time experience. This role isn't a fit for new grads. Computer vision shipped in a real job. You've trained and shipped detection or segmentation models that a business depended on, rather than only class or side projects, and you can talk through how you measured them and where they fell short. Comfortable with frequent travel, including short-notice trips to steel mills, scrap yards, and recycling plants. Nice-to-haves You like building and fixing physical things, and you're comfortable with a drill and a crimping tool on a plant floor. You've worked closely with a labeling team and seen how label quality moves a model's precision and recall. You've deployed models on NVIDIA Jetson or optimized them with TensorRT. Expected impact 1 month in: You've learned our hardware and model pipeline, joined a teammate on a live deployment, and shipped a model improvement for one of our current customers. 3 months in: You're leading your own deployments and running the customer reviews, with the models, data, dashboards and alerts for each of your sites in your hands. 12 months in: You have a group of sites hitting their targets, and your playbooks have shortened how long it takes us to bring a new site live. Benefits 100% employer-paid premiums for employee coverage (medical, dental, vision) 401(k) with company match (100% of the first 3%, 50% of the next 2%) Meaningful equity with a 10-year post-termination exercise window Unlimited PTO The range listed is base compensation. We offer participation in our bonus and variable compensation plans to select roles. Bonus and variable compensation: Yes

YOU MUST BE LOCATED IN THE NYC or NJ Area located closely to NYC. NO RELOCATION WILL BE PROVIDED - MUST BE A US CITIZEN/PR/GC HOLDER. Work Schedule includes working Weekends and Holidays. Onsite Schedule: 1st Shift 7AM to 4PM Days Onsite: Friday/Saturday/Sunday/Monday/Tuesday Be Part of the Team Behind the Game Are you ready to bring your network expertise to the global stage of one of the biggest professional sports leagues in the US? Blue Mantis is seeking a highly skilled and versatile, Swiss Army Knife IT Operations Engineer to support enterprise-class data centers and ensure seamless network operations. This role focuses on ensuring high availability and performance of network infrastructure while contributing to game-day success. The ideal candidate will be a proactive and adaptable professional with a passion for innovation, an ability to multitask and reprioritize in real-time and a commitment to delivering excellence in a fast-paced, mission-critical environment. This candidate will be proficient in supporting server and cloud environments but should also have experience with networking as this team will be supporting a wide array of technologies to support the company infrastructure and game day operations. If you thrive under pressure and excel at managing complex technical challenges, this is your opportunity to make an impact. Working for Blue Mantis at this customer, you’ll operate in a high-pressure, high-reward environment, directly impacting game-day success and ensuring a successful fan experience. Bring your technical prowess, leadership and passion for innovation to the league’s fast-paced and mission-critical IT environment. Key Responsibilities • Server Administration: Manage and maintain Windows, Linux, and Unix environments to ensure optimal performance., • Cloud Operations: Administer cloud platforms including AWS, Azure, and O365 for enterprise workloads and containerization., • Virtualization: Manage, configure, and troubleshoot VMware-based environments to ensure optimal performance, scalability, and availability of virtualized infrastructure., • System Monitoring: Leverage platforms such as SolarWinds and DataDog to ensure network reliability and performance., • Incident Management: Lead network-related incident resolution, ensuring SLAs are met and escalating issues when necessary., • Security Best Practices: Implement and support secure networking solutions, ensuring robust protection in on-premise and cloud environments., • Documentation: Create and maintain detailed network documentation, including topology maps and procedures for troubleshooting. Skills, Knowledge and Expertise Required Skills • Strong experience Cisco Nexus/Arista/Meraki Switches, Cisco Wireless Controllers, Windows, Linux, and Unix environments using the ServiceNOW ticketing system., • Strong experience in NOC operations with expertise in Windows, Linux, and Unix environments using the ServiceNOW ticketing system., • Hands-on experience with cloud platforms (AWS, Azure, O365, VMware) and virtualization/containerization technologies., • Backup and DR Support: Experience supporting and troubleshooting backup and disaster recovery solutions such as Rubrik and Zerto, ensuring data protection and system resilience., • Hands-on experience with firewalls, routing protocols, and network monitoring tools like SolarWinds., • Familiarity with automation tools and scripting, • Excellent problem-solving skills with the ability to adapt to dynamic priorities. Preferred Skills • Network troubleshooting in data center environments. (Cisco, Palo Alto, Meraki), • Proficiency in scripting languages (Python, PowerShell, Bash) for automating server and cloud operations., • Familiarity with cloud-based networking solutions in AWS, Azure, or O365 environments., • Knowledge of infrastructure capacity planning and performance tuning., • Knowledge of Kubernetes, Docker, and container orchestration for managing distributed applications., • Familiarity with security best practices, SIEM platforms, and endpoint protection., • Experience with advanced video streaming technologies and CDNs., • Familiarity with infrastructure performance tuning and capacity planning. Qualifications • Provide game day support on major holidays when games are played., • Education: Bachelor’s degree in Computer Science, Information Technology, or equivalent hands-on experience., • Certifications: CCNA, CCNP (or equivalent) ITIL and technical certifications in, servers and/ or cloud (preferred)., • Experience: Demonstrated expertise in a complex, multisite environment. Base Salary Range: $120,000.00 - $165,000.00 Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience. Agencies/3 Parties may not solicit to any employee of Blue Mantis. Any candidate information received from any Agency/3 Party will be considered a gift and property of Blue Mantis, unless the Agency/3 Party is an Authorized Vendor of Blue Mantis with an up-to-date Blue Mantis Contract in hand signed by Blue Mantis Talent Acquisition. No payment will be made to any Agency/3 Party who is not an Authorized Vendor, nor has specific approval in writing from Blue Mantis Talent Acquisition to engage in recruitment efforts for Blue Mantis. At this time we have no interest in onboarding any new staffing partners.

Title: Senior Presales Engineer Location: Hybrid, Midtown Manhattan, NYC Office expectation: Two days per week The Opportunity: Zaddy Solutions is recruiting a Senior Presales Engineer for an international software company building an enterprise platform for governing and securing AI-agent connections. As companies move AI agents from experimentation into production, they need greater control over how those agents access internal tools, software, and data. This platform provides a centralized gateway for authentication, permissions, policy enforcement, sensitive-data protection, monitoring, and auditability across those connections. This is a hands-on presales role for someone who can lead customer evaluations, deliver credible demonstrations, manage proofs of concept, and solve technical problems without relying on engineering for every answer. What You Will Own: Technical Discovery and Demonstrations • Lead discovery with AI, engineering, IT, and security stakeholders, • Understand each customer’s AI clients, integrations, identity environment, and governance requirements, • Deliver tailored product demonstrations using the customer’s workflows and technical priorities, • Identify compatibility gaps or technical blockers before evaluations begin Proofs of Concept and Technical Evaluations • Partner with Account Executives to scope and structure proofs of concept, • Help customers configure integrations, identities, access policies, and platform settings, • Troubleshoot issues during trials and keep evaluations moving toward a clear technical decision, • Document outcomes, blockers, and next steps for the broader deal team Security and Architecture Reviews • Lead security questionnaires, architecture discussions, and vendor due-diligence reviews, • Explain authentication, authorization, data flow, logging, and access controls to technical and compliance stakeholders, • Work with product, engineering, and legal teams to maintain accurate security documentation Customer Enablement and Technical Support • Build and maintain demo environments, reference architectures, technical guides, and solution plans, • Support customer onboarding and expansion alongside Customer Success, • Investigate technical issues by reviewing configurations, logs, documentation, and code, • Use modern AI coding tools to reproduce problems and propose solutions before escalating to engineering Product Feedback • Capture feature requests, technical objections, competitive signals, and recurring customer needs, • Work directly with product and engineering to turn field feedback into product improvements, • Improve documentation and troubleshooting resources based on actual customer evaluations What We Are Looking For: • At least three years of experience in presales engineering, solutions engineering, sales engineering, solutions architecture, or another customer-facing technical role within B2B software, • A track record of leading technical evaluations and proofs of concept that contributed to closed business, • Experience partnering closely with Account Executives and supporting customers after the sale, • Strong working knowledge of APIs, SaaS integrations, OAuth, SSO, identity providers, authentication, and authorization, • The ability to read technical documentation, troubleshoot integrations, and explain complex systems clearly, • Basic coding or scripting experience, including the ability to investigate and debug issues using modern tools, • Experience supporting enterprise security reviews and discussing frameworks such as SOC 2 or HIPAA, • Hands-on experience using AI assistants, agents, or AI-enabled developer tools, • Experience within developer tools, cybersecurity, identity, governance software, or adjacent infrastructure, • The ability to manage multiple technical evaluations across a shared sales pipeline, • Strong communication skills across engineering, security, business, and executive audiences, • Comfort working within an early-stage product environment where the presales playbook is still being built, • Ability to travel occasionally for customer meetings or industry events Why This Opportunity Is Different: This is an early technical go-to-market hire for an emerging enterprise AI product. You will have direct access to the people building the platform and meaningful influence over how the company demonstrates, validates, implements, and improves it. The environment combines the autonomy and ownership of a startup with the resources and stability of an established international software company. Location: This position is hybrid in New York City. Candidates must be able to work from the Midtown Manhattan office two days per week. Applying: Apply directly through this LinkedIn posting. Zaddy Solutions will review applications, conduct an initial conversation, and coordinate the interview process with our client. Zaddy Solutions and our client welcome candidates with varied backgrounds. If the role is compelling and your experience aligns with most, but not every, qualification, we still encourage you to apply.

Founding Robotics Engineer $170,000 - $230,000 New York This role will require substantial travel to different customers' sites and warehouses. About the company We're supporting a seed-stage warehouse robotics startup. Their software is already running in large enterprise operations. Now they're building the AI that lets each robot recognize products and handle them on its own. The founders have built and scaled robotics teams before. The role This is a founding engineering role. You'll lead perception and robot learning and make the key technical decisions. There's no large legacy codebase, so you'll design the approach yourself and build it with the founding team. Success means models that work reliably on live warehouse floors. What you'll own • Perception: 3D scene understanding with depth cameras and point clouds, object pose estimation, and identifying new products without retraining, • Robot learning: Training and fine-tuning vision-language-action models, using simulation and synthetic data, • Deployment: Running models on real robots within tight speed and compute limits, and feeding real-world mistakes back into training, • Data: Teleoperation, data collection, and the pipeline that turns raw recordings into clean training data Why it's worth a look • You'll set the technical direction for perception and learning, • Your models get tested in real customer operations within months, • A small team that makes decisions quickly, • Your scope grows with every new robot, task and customer, • Founding equity What you'll bring • 3 to 5 years of hands-on work in robotics, computer vision or ML, ideally on physical robots, • Experience training models on GPUs and deploying them where speed matters, • 3D perception experience with point clouds and depth cameras, • Experience with real robot hardware and simulation (MuJoCo, Isaac Sim or similar), • Strong Python, plus C++ or another systems language, • You like getting prototypes working quickly Nice to have • Training manipulation or vision-language-action policies, • Zero-shot pose estimation or segmentation, • Grasp planning, • Warehouse or logistics automation experience

About AirPay AirPay automates dental insurance verification and revenue cycle workflows for dental practices. We process millions of eligibility and benefit transactions annually, sourcing data from payer portals, EDI pipelines, and direct connections. Our data team sits at the intersection of scraper engineering, payer operations, and product, turning raw benefit data into actionable outputs for practices and their patients. The Role We’re looking for someone whose job is to find what’s silently wrong or missing in our benefit data, before a practice or a patient does. This isn’t a reporting role and it isn’t a dashboard role: the deliverable is catching the problem everyone else’s tidy summary missed. Coverage that reads “active” but lapsed last month. A field that comes back blank and gets quietly treated as “no benefit.” A payer whose data looks clean until you notice an entire location’s records are null. You’ll own a slice of our verification pipeline (a set of payers, a data domain, a monitoring surface) and run it: surface what actually matters, with evidence, without needing every anomaly pointed out to you first. You’ll report to the Head of Data and work as a peer-level collaborator with engineering, customer success, and operations. What You’ll Own • Data quality investigations: Run structured investigations into benefit data anomalies across 100+ payers. Triggers are both scheduled (cohort comparisons between data sources: portal-scraped vs EDI vs internal estimates) and signal-driven (customer escalations, operational reports). Output is engineer-actionable findings documents: what’s broken, where, what evidence, and critically, what’s wrong that nobody flagged. Common patterns include coverage-percentage inversions, blank-fill in returned data passed off as a real answer, frequency-normalization gaps (such as “12 months” vs “1 service year”), and stale data carrying across plan changes., • Completeness and accuracy monitoring: Own a monitoring surface and define what “healthy” looks like for it, then catch when reality drifts from it. The hard part isn’t building the dashboard; it’s noticing the gap the dashboard doesn’t show., • Customer issue triage analysis: Own the weekly pattern analysis on customer-issue tickets. Categorize ticket types, track volume trends, identify recurring root causes, and surface signal that drives parser fixes, product changes, or QA process updates., • Ad hoc investigations: When a payer behaves unexpectedly or a hypothesis needs checking, you scope and run the investigation and write up the findings, starting from a vague “something looks off,” not a pre-scoped ticket. What We’re Looking For Required: • 3 to 5 years where finding what’s missing or wrong was the job: data quality, completeness and validation, data audit, reconciliation, or investigative analytics. If your prior work was producing clean reports and dashboards, this is a different role. We’re hiring the person who finds what those reports leave out., • Healthcare data, payer analytics, insurance operations, or RCM background: Dental not required, but you need to understand how benefit structures work (coinsurance, deductibles, frequency limits, network tiers)., • Strong data skills: comfortable in SQL and Excel/Sheets, can write a structured query, build a pivot, and sanity-check a dataset without hand-holding. More important than tooling breadth is the instinct to distrust a clean-looking result and dig until you know why it’s clean., • Self-directed ownership of an area. Point you at a payer, a domain, or a surface, and you run it: scope the questions, find the issues, frame them for a business audience, without per-step direction., • Clear written communication: Output is findings documents and structured reports, not just raw data. Strong plus: • EDI X12 familiarity (270/271 eligibility transactions especially)., • Experience at a health tech company, payer, or benefits administrator., • Comfort with Python or scripting for data manipulation., • Experience with parser output, portal data, or unstructured benefit text. Growth Path This is the first analyst hire on a growing data team. Several surfaces you’d eventually own, such as the data quality scorecard, deeper engineering interfaces, and the team’s operating rhythm, are still being built. You’d help shape them rather than inherit fully-formed processes. The role anchors day-one as a data-quality specialist owning a defined slice of the pipeline, with specialization paths opening as the team matures: EDI and payer-depth analysis, customer-facing analytics delivery, or clinical/dental content expertise. Why This Role • High-signal, low-noise work: you’ll see anomalies across the entire benefit landscape before anyone else does, and you’re the one trusted to catch them., • Direct impact: your findings drive parser fixes, product features, and QA standards., • Small team with high ownership: no queuing behind a data engineering backlog., • Comp: competitive for mid-level healthcare data roles in NYC.

Location: New York, NY (hybrid, 3 days a week in office) Employment type: Full-time Salary range: $130,000–$150,000, plus bonus Reports to: VP, Network & Content Operations About Curacity Curacity is a two-sided marketplace connecting travel brands that need to be discovered with the publishers, travel writers, and content creators travelers actually trust. Hotels and cruise brands define the editorial coverage they need; our network of publishers and creators produces original content; Curacity coordinates the fulfillment and measures the outcomes. We operate two products on that network. Newsletter places original editorial recommendations in front of publisher subscriber audiences and ties the resulting bookings back to the content that drove them. Vista AI builds the distributed editorial footprint that determines whether a property gets recommended when a traveler asks ChatGPT, Perplexity, Google AI Mode, or Gemini where to stay. Curacity partners with publications including AFAR and Travel + Leisure, and was named among Inc. 5000's Top 20 Travel & Hospitality Companies and Digiday's Best Content Marketing Platform of 2024. We are headquartered in New York with an office in Stamford, CT. About The Role We're looking for a builder to design, build and run the AI system behind Curacity's content, and to lead our owned travel brands, Inside Hotels and A Hotel Life. Our in-house studio already creates custom editorial content for more than 1,000 newsletter features a month, with AI supporting every stage from deciding what to write through drafting, editing and logging. What we need now is someone to turn that into one engineered system that scales as volume grows and channels expand: from long-form web articles to social media content down the line. This is a human-in-the-loop system by design. AI should give our in-house editors real leverage, so they spend their time optimizing quality, not maintaining tools or racing to keep up with volume. Content is what our customers come for. It has to be good, and it has to be correct: there is no margin for factual error. You'll treat this system as a product. Our content team is its first user; publishers are its eventual one. You'll get the inputs right (the hotel facts and marketing goals, publisher style guides and specs) and the outputs right (quality that holds as volume grows). You'll scale output in the near term while building, with our Product and Engineering teams, toward content publishers can generate for themselves. Where This Role Sits You'll work in the office alongside the content team, because the best requirements come from watching production every day. You'll plan with Product and Engineering on a shared roadmap: the studio prototypes and proves new systems and formats, and Product and Engineering harden and scale the ones that work. What You'll Do Build the content engine • Map and instrument the current production line: time per piece, revision rounds, and where content errors and system bottlenecks occur., • Audit the current system and tools, and choose the stack for the new build with Product and Engineering: tools that solve near-term needs and can grow into the long-term platform., • Consolidate today's separate AI tools and agents into one documented, version-controlled pipeline that more than one person can maintain., • Get the inputs right by turning hotel facts, publisher guidelines and image libraries into structured sources of truth the system reads at runtime, not instructions buried in prompts., • Get the outputs right with evals that score every draft against publisher rules and hotel facts before a person reads it, and catch regressions when prompts or models change., • Keep editors in the loop where judgment matters, so AI handles the volume and people make the final call on quality and accuracy., • Extend the engine across channels, from newsletters to web articles and social content down the line., • Stay on the frontier: test new models and tools as they ship, adopt what works and retire what doesn't. Build toward publisher self-service • Define the requirements and architecture for content on demand, together with Product., • Prototype and test with real users, then hand proven designs to Engineering to scale., • Design the guardrails self-service needs: brand standards, hotel review rights, error tracking and approvals. Run the studio • Lead the content team, train them on new systems as they roll out, and help them become operators who maintain and extend the system they use., • Plan capacity against demand, and direct freelance support where it makes sense., • Own the quality bar across every publisher in our network, and fix problems at the system level., • Partner with Network Operations, Partnerships, Customer Success and Sales on the content we deliver. Grow our owned brands • Set audience growth strategy for Inside Hotels and A Hotel Life across email, web, social and AI search., • Lead the A Hotel Life team remotely, including its editor-in-chief, senior editor, social media manager and contributors., • Use the owned brands to test new formats and channels before they launch with partners. What This Role Is Not • Not an editor. You need a sharp eye for quality and voice, and the ability to turn "this doesn't work" into a rule or a test. You won't be line-editing copy., • Not a prompt writer. You'll build agentic workflows, with evals and monitoring, that run reliably instead of prompts someone has to babysit., • Not a product engineering job. You'll write code most days, but you'll build content systems, not ship features in Curacity's product., • Not a product manager on a product team. You'll own a content system and its results, sit with the people who use it, and partner with Product on what it becomes. The Impact You'll Have • Growth. Curacity-written content powers most of our newsletter placements, and demand is set to roughly double. The system you build is what lets us meet it., • Speed to revenue. New hotels and media partners start earning when their content is ready. Faster content means faster launches., • Retention. Content quality is a big part of why hotels renew. You'll keep that quality high as volume grows., • Leverage. You'll build a system that lets a focused team keep pace with growing demand., • New products. Your prototypes become the foundation for publisher self-service and for Vista AI's editorial content., • Owned brands. Growing Inside Hotels and A Hotel Life drives booking revenue and builds the AI search visibility our hotel partners pay for. Required Qualifications • A track record of building AI systems other people rely on: agentic workflows shipped to real users, such as content pipelines, tool-using agents, MCP servers or Claude skills, with structured inputs, evals and monitoring. We'll ask you to show us what you've built., • 5+ years of professional experience. We care more about what you've shipped than where you started., • Comfort in code. You can write, read and debug Python or TypeScript, work with APIs, webhooks and databases, and make changes without waiting on an engineer., • Product instincts: you've scoped and shipped tools non-technical teams use every day, and you write requirements engineers can build from., • A strong eye for content quality and brand voice, and the ability to turn that judgment into rules and tests., • Experience leading people, including remote teams and freelance contributors., • An understanding of how media brands grow audiences through email, search, AI search and social., • Commercial judgment about how content drives bookings, renewals and revenue., • Comfort building a new function while the product it serves takes shape. What you might call yourself: content engineer, AI engineer, solutions or forward-deployed engineer, content operations lead, or an editor or writer who became a serious builder. Preferred Qualifications • Content generation at scale in media, publishing, e-commerce or marketing technology., • Image generation and editing pipelines, or video and script workflows for creators., • Travel, hospitality, luxury or lifestyle media., • Superhuman Docs (formerly Coda), Airtable or Notion, plus Mailchimp and WordPress APIs., • SEO, GEO or AI search visibility. What We Offer Curacity offers a competitive package which includes base salary, equity, and comprehensive benefits, including: • Healthcare: Comprehensive medical and dental insurance plans, long-term disability policy, generous company contribution, • Retirement: 401(k) match – up to 4% of your total eligible compensation matched dollar-for-dollar (US-based employees), • Flexibility: Hybrid Work for NYC-Based Roles: Virtual (2 Days); In-office (3 Days); Multiple “work from anywhere” periods/year, • PTO: Generous PTO policy, in addition to 10+ public holiday closure dates, • Wellness: $100 monthly stipend for health and wellness-related activities, • Recognition: Birthday, anniversary, and other everyday surprises and gifts to recognize our team members, • Culture: Casual, collaborative (and dog-friendly!) work environment in the heart of Flatiron Equal Opportunity Curacity is proud to be an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, including pregnancy, childbirth, or related medical conditions, sexual orientation, gender identity or expression, age, national origin, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Location: New York City — On-site Experience: 2+ years Compensation: $120K–$160K + Performance Bonus + Equity Role Type: Individual Contributor About the Company Our client is an early-stage fintech startup building modern financial infrastructure for small and medium-sized businesses. Its platform brings banking, payments, expense management, accounting automation, and financial intelligence together, giving business owners access to tools and insights traditionally reserved for larger companies with dedicated finance teams. The company is growing quickly, customer demand is accelerating, and the team is looking for someone who can take ownership of customer relationships while helping build the operational foundation needed to scale. About the Role We are looking for a Business Operations & Account Manager to own key customer relationships, drive account success, and improve the processes and systems that support a rapidly growing customer base. This is a highly cross-functional role combining account management, business operations, customer success, and technical problem-solving. You will serve as a primary point of contact for customers, understand their businesses and financial workflows, ensure they are getting value from the platform, and identify opportunities to strengthen and expand those relationships. Beyond managing accounts, you will help solve the operational challenges that come with scaling an early-stage company. This could mean improving an onboarding process, investigating a customer issue, analyzing account performance, implementing a new workflow, or collaborating with Product and Engineering to resolve a recurring problem. The ideal candidate is commercially minded, analytically strong, technically curious, and highly resourceful. You don't need to be a software engineer, but you should be comfortable working with data, learning new technologies, understanding integrations, and finding creative solutions to complex problems. We're looking for someone who can build strong customer relationships while thinking strategically about how to make the business operate more effectively. What You'll Own Account Management & Customer Success • Own and manage a portfolio of customer accounts, serving as a trusted point of contact throughout the customer lifecycle., • Build strong relationships with business owners, finance teams, and other key stakeholders., • Lead customer onboarding and implementation, ensuring customers are successfully set up and actively using the platform., • Understand each customer's business, financial operations, and goals to identify opportunities to deliver additional value., • Proactively monitor customer satisfaction, product adoption, and account health to identify risks and opportunities., • Drive customer retention, engagement, and account expansion through proactive relationship management., • Handle customer escalations, troubleshoot issues, and coordinate with internal teams to deliver timely resolutions., • Identify opportunities for upselling, cross-selling, and deeper product adoption. Business Operations & Process Improvement • Identify inefficiencies across onboarding, account management, customer support, and internal business operations., • Develop and implement processes that improve customer experience, operational efficiency, and team productivity., • Build scalable workflows, playbooks, and documentation to support a growing customer base., • Work with leadership to identify operational bottlenecks and develop practical solutions., • Help establish account management processes, reporting structures, and customer success best practices., • Take ownership of ambiguous operational challenges and drive them through to resolution., • Balance immediate customer needs with longer-term improvements to how the business operates. Technical & Analytical Problem-Solving • Use data to understand customer behavior, account performance, operational trends, and opportunities for improvement., • Build and maintain dashboards, reports, and tracking systems to support business decisions., • Investigate customer issues involving transactions, integrations, reporting, or product functionality., • Work closely with Product and Engineering to translate customer feedback and operational challenges into actionable solutions., • Leverage CRM systems, spreadsheets, automation platforms, and AI tools to streamline repetitive work., • Understand how different business systems connect and identify opportunities to improve workflows and data accuracy., • Support the implementation of new tools, integrations, and operational systems as the company scales. Cross-Functional Collaboration • Partner with Sales, Customer Success, Operations, Product, Engineering, and Support to ensure a seamless customer experience., • Act as the voice of the customer internally, communicating recurring feedback, product gaps, and emerging needs., • Collaborate with leadership on initiatives related to customer retention, revenue growth, and operational scalability., • Help prioritize customer and operational issues based on business impact., • Take initiative on projects that fall outside traditional account management responsibilities when needed. What We're Looking For • 2+ years of experience in Account Management, Business Operations, Customer Success, Technical Account Management, Implementation, Solutions Consulting, or a related role., • Experience managing customer relationships and taking ownership of customer outcomes., • Strong business judgment and an understanding of how customer satisfaction, retention, and expansion contribute to revenue growth., • Excellent communication and relationship-building skills, particularly when working with business owners and senior stakeholders., • Strong analytical and problem-solving abilities, with the confidence to investigate complex issues independently., • Technical aptitude and comfort working with software platforms, data, CRM systems, and business tools., • Ability to understand technical concepts, communicate effectively with engineering teams, and explain solutions to non-technical customers., • Experience using spreadsheets, reporting tools, or dashboards to analyze business performance and make decisions., • Strong organizational skills and the ability to manage multiple accounts, projects, and competing priorities., • A proactive, solutions-oriented mindset with a willingness to take ownership beyond a defined job description., • Comfort operating in a fast-paced startup environment where processes are still being developed., • High attention to detail and a strong sense of accountability., • Willingness to work on-site in New York City and travel periodically to meet customers. Helpful Experience • Experience in fintech, financial services, payments, banking, accounting software, or B2B SaaS., • Experience managing SMB or mid-market customer accounts., • Background in a role combining customer-facing responsibilities with internal business operations., • Experience with CRM platforms such as HubSpot or Salesforce., • Familiarity with SQL, BI tools, APIs, integrations, or workflow automation platforms., • Experience using tools such as Zapier, Make, n8n, or AI-powered automation solutions., • Exposure to technical troubleshooting, software implementations, or product integrations., • Experience analyzing customer usage data, account health metrics, retention, or revenue performance., • Experience working directly with founders or leadership at an early-stage startup., • Familiarity with Python, JavaScript, or other technical tools is a plus, but not required. You May Be Especially Successful Here If • You genuinely enjoy building relationships with customers and helping their businesses succeed., • You are equally comfortable leading a customer meeting and digging into a spreadsheet to solve a problem., • You are naturally curious about how technology works and enjoy learning new tools., • You can understand both the commercial and technical sides of a customer issue., • You take ownership of problems rather than simply passing them to another team., • You are proactive about identifying opportunities to improve processes and customer experiences., • You enjoy working in environments where responsibilities are broad and priorities evolve quickly., • You can manage the details of multiple customer accounts while keeping the bigger business picture in mind., • You are resourceful, adaptable, and comfortable figuring things out without a detailed playbook., • You want to help build the operational foundation of a growing company, not just manage an existing process. What Success Looks Like • Customers have a reliable, knowledgeable point of contact who understands their business and delivers a high level of service., • New customers are onboarded efficiently and begin realizing value from the platform quickly., • Customer retention, engagement, and product adoption continue to improve., • Opportunities for account growth and expansion are identified and acted upon., • Customer issues are resolved efficiently, with recurring problems translated into lasting operational improvements., • Internal workflows become more organized, measurable, and scalable., • Leadership has better visibility into customer health, operational performance, and opportunities for improvement., • The company can support a significantly larger customer base without sacrificing the quality of its customer relationships. Benefits • Performance bonus and equity, • Reimbursed relocation, • Free lunch and dinner in New York City, • Paid technology equipment setup, • Fully paid health, dental, and vision insurance

About Cassidy At Cassidy, we’re building software that helps teams move faster by automating complex, high-leverage workflows with AI. Our platform enables teams to deploy AI agents and automations inside business-critical processes — not just to eliminate busywork, but to handle real operational workflows across the tools they already use. The Role Deployment Strategists make sure customers get real, measurable value from Cassidy. The role combines consulting, product thinking, and account ownership. You'll help customers find the right problems to solve, turn those problems into clear requirements, and lead the work through rollout, adoption, and expansion. You'll work directly with executives and with the teams doing the work every day. You'll run discovery, assess business value, set priorities, and define what success looks like. Working alongside our Solutions & Engineering team, you'll turn those decisions into production workflows and AI agents. You own business requirements, prioritization, adoption, and the customer relationship. Your Solutions & Engineering counterpart owns technical design and build. Success means customers rely on what we deploy, can measure how it improves their business, and keep expanding what they run on Cassidy. This role is based in New York City and requires working from our office. We value in-person collaboration, and we expect Deployment Strategists to be on site working closely with the broader go-to-market team. What You'll Do • Understand how the customer works. Interview teams, map processes, and find where work gets delayed or depends on unnecessary manual effort., • Decide what's worth building. Assess automation opportunities, estimate their business value, and build a prioritized roadmap that shows customers where to start., • Define the work. Turn discovery into requirements, priorities, and acceptance criteria that an engineer can act on. Keep scope grounded in the customer's needs as you learn more., • Deliver with Solutions & Engineering. Partner with the Solutions & Engineering team through recurring build cycles. You'll resolve product questions, test with users, and coordinate feedback. Build prototypes and simple automations in Cassidy yourself to test ideas and clarify requirements., • Own adoption. Plan rollouts, train users, develop internal champions, and track usage and business results after launch., • Own the relationship. Serve as the primary point of contact for a portfolio of customers from onboarding through renewal. Run executive conversations and explain tradeoffs. Raise problems early, and give a clear recommendation when a customer's proposed approach needs to change., • Grow the account. Monitor customer health and outcomes to manage risk before it escalates. Find new teams and workflows where Cassidy can help to drive renewal and expansions, • Close the loop with Product. Turn customer feedback into clear, actionable insights for the Product team., • Share what works. Turn lessons from each deployment into playbooks, templates, and best practices the team can reuse as we scale. Examples of the Work • For a commercial insurance broker, you might run a discovery sprint on pre-sales processes (e.g., census generations). You'd identify the highest-return workflows, present a roadmap, and deliver the first few with Solutions & Engineering., • For an existing customer, you might run a monthly review of usage and results. From there you'd identify two new departments ready to adopt Cassidy and scope their first workflows. What We're Looking For • 3-6 years of experience in Management or Technology Consulting, Customer Success, Account Management or a related customer-facing role, • You've changed how a team works. You can explain what you changed, why you made those decisions, and what happened., • You can turn an unclear business problem into requirements, priorities, and a practical delivery plan., • You ask good questions and follow up when an answer is vague. You're comfortable learning a business from both its leaders and its frontline teams., • You're organized enough to manage multiple accounts and workstreams at once., • Excellent communication skills — clear, direct, and confident with both technical and non-technical stakeholders, • You take ownership of outcomes, move work forward without detailed instructions, and respond thoughtfully to feedback., • Comfort working with technical products (APIs, integrations, automation platforms, or AI-powered tools), • Strong organizational skills and the ability to manage multiple accounts and priorities, • A collaborative mindset and comfort working closely with Sales, Product, and Engineering, • Bias toward ownership and problem-solving in fast-moving environments Why Cassidy • Work on a product customers rely on for business-critical workflows, • High-impact role with visibility across the company, • Competitive compensation, equity, and benefits, • A fast-growing, in-person NYC team that values clarity and execution, • Real ownership and the chance to help define how Customer Success works as we scale

Who is Recruiting from Scratch: Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. We partner closely with our clients to deeply understand their needs, then connect them with top-tier candidates who are not only highly skilled but also the right fit for the company’s culture and vision. Our mission is simple: place the best people in the right roles to drive long-term success for both clients and candidates. _ Title of Role: Founding AI Engineer Location: New York City, NY (Flatiron District) Company Stage of Funding: Early-Stage Fintech Office Type: Onsite — 5 Days/Week Salary: $210,000–$250,000 Base + Equity Employment Type: Full-Time Company Description Our client is a fintech technology company building a modern corporate access platform for investment banks and financial institutions. The platform brings together CRM functionality, email communications, event management, reporting, and AI-powered meeting allocation to help financial institutions manage complex workflows more efficiently. As the company expands its AI capabilities, it is looking for a Founding AI Engineer to build and deploy intelligent, agentic product features that enterprise financial customers can trust with real business operations. This is a high-ownership opportunity to shape the company's AI architecture, engineering standards, and technical direction while working closely with its founders and product engineering team. What You Will Do • Design, build, and ship customer-facing LLM and agentic AI features into production., • Own AI product development end-to-end, from architecture and implementation through deployment, evaluation, and ongoing improvement., • Build reliable agent systems involving prompting, tool use, context management, and multi-step workflows., • Develop evaluation frameworks, guardrails, observability, and failure-handling mechanisms for production AI systems., • Integrate frontier AI models into enterprise applications., • Build backend APIs and services using Python and frameworks such as FastAPI or Django., • Deploy and operate AI-powered applications using AWS infrastructure., • Collaborate with product engineers to integrate AI capabilities into customer-facing applications., • Design systems that meet the reliability and operational expectations of enterprise financial institutions., • Establish technical patterns, development processes, and engineering standards for the company's growing AI capabilities., • Work directly with engineering leadership to identify high-impact AI opportunities and deliver production-ready solutions. Ideal Candidate Background • 4+ years of professional backend engineering experience., • Demonstrated experience shipping customer-facing LLM-powered features into production., • Strong hands-on experience with frontier language models and their integration into real applications., • Experience building agentic systems involving prompting, tool use, and context management., • Understanding of production AI reliability, including evaluations, guardrails, observability, and failure handling., • Strong Python backend engineering experience, ideally with FastAPI or Django., • Experience developing and operating applications on AWS., • Ability to independently own technically complex projects from architecture through production., • Strong software engineering fundamentals and system design capabilities., • Experience collaborating with product engineers to deliver complete customer-facing features., • Excellent communication and problem-solving skills., • Comfortable working in a small, high-ownership engineering team., • Able to work onsite in New York City five days per week. Preferred • Previous experience as a founding engineer, early AI engineer, or senior individual contributor at a startup., • Experience building production-grade AI agents that perform meaningful business tasks., • Experience designing AI evaluation pipelines and regression testing frameworks., • Familiarity with LLM orchestration, tool calling, and structured outputs., • Experience with AI observability, monitoring, and production incident resolution., • Background in financial technology, enterprise SaaS, or regulated industries., • Experience transitioning from traditional machine learning into production LLM applications., • Experience establishing technical architecture and engineering processes for new teams. Compensation & Benefits • $210,000–$250,000 base salary, • Equity compensation, • Significant ownership over the company's AI architecture and product capabilities, • Direct collaboration with the co-founder and CIO, • Opportunity to establish the foundation for a growing AI engineering function, • Hands-on individual contributor role with no people management responsibilities, • Onsite work environment in Manhattan's Flatiron District This opportunity is ideal for an engineer who enjoys building real AI products, solving challenging reliability problems, and taking founding-level ownership of systems used by enterprise customers.

The Role This is a senior, customer-facing role that sits at the intersection of technical leadership, solution architecture, and strategic sales. As a trusted advisor to our customers and prospective customers, you will help organizations navigate complex cybersecurity challenges by designing tailored security solutions that align with their business objectives and risk landscape. Working across the full sales lifecycle, from discovery and technical qualification through solution design, presentations, proof of concepts, and commercial close, you will serve as the technical lead on strategic opportunities. You will partner closely with Account Executives, Service Delivery teams, and key technology vendors to deliver compelling outcomes for customers while driving revenue growth. Beyond individual opportunities, you will play a critical role in shaping and elevating the wider pre-sales function, mentoring colleagues, contributing to technical strategy, and helping establish best practices across the organization. This is an exciting opportunity to join a rapidly scaling, private-equity-backed cybersecurity business at a pivotal stage of growth, where you will have the ability to influence strategy, work on complex enterprise engagements, and make a visible impact on both customer success and company performance. The role is based in our New York office, operating on a hybrid working model. About SecurityHQ SecurityHQ is a global cybersecurity company. Our specialist teams design, engineer and manage solutions that do three things: Promote clarity and trust in a complex world. Build momentum around improving security posture. And increase the value of cybersecurity investment within organizations. Free from limitations, and inclusive of all requirements, we focus on defending today, while mitigating the risks of tomorrow. And into the future. Our solutions are tailored to our customers and their unique context. Around the clock, 365 days per year, our customers are never alone. SecurityHQ – We’re focused on engineering cybersecurity, by design. What You’ll Be Doing • Leading technical discovery workshops, solution design sessions, and customer presentations., • Translating business and security requirements into scalable managed security and cybersecurity solutions., • Developing high-quality RFP and proposal responses, including solution architecture, scope definition, and Statements of Work., • Delivering demonstrations and technical presentations across SecurityHQ's MDR, Managed Security Services, and Advisory portfolio., • Acting as a trusted advisor to CISOs, CIOs, security leaders, and executive stakeholders., • Supporting strategic sales opportunities from initial engagement through to contract award., • Building strong relationships with technology partners including Microsoft, AWS, SentinelOne, Datadog, and Tenable., • Mentoring and supporting other Solutions Architects through knowledge sharing, coaching, and best practice development., • Creating reusable technical assets, solution frameworks, and sales enablement materials., • Championing the use of AI and automation to improve efficiency and scalability across technical sales processes. What We’re Looking For • Proven experience in a Pre-Sales Engineer, Solutions Architect, Technical Consultant, or Technical Sales role within cybersecurity., • Strong understanding of modern security technologies including SIEM, SOAR, EDR/XDR, MDR, cloud security, identity security, and vulnerability management., • Experience leading technical discovery sessions, solution workshops, and enterprise customer engagements., • Strong commercial awareness with the ability to articulate business value, ROI, and security outcomes., • Excellent communication and presentation skills with experience engaging executive-level stakeholders., • A consultative approach, with the ability to simplify complex technical concepts for both technical and non-technical audiences., • Experience with one or more leading security platforms such as Microsoft Security, AWS Security, Datadog, SentinelOne, or Tenable., • Strong stakeholder management skills and the ability to collaborate across sales, product, operations, and delivery teams., • A passion for mentoring others and contributing to the growth of a high-performing technical sales function.

About Logical Buildings Logical Buildings is a leading smart building and energy management technology company helping commercial and multifamily property owners reduce energy costs, improve building performance, and participate in emerging energy markets. We combine software, energy analytics, building controls, distributed energy resources, and grid services to deliver measurable financial and environmental value. About the Role Logical Buildings is seeking a Decarbonization and Compliance Engineer to design and implement energy conservation measures and decarbonization solutions across our commercial and multifamily building portfolio. This is a hands-on, client-facing engineering role with ownership from initial building walkthrough and energy audit through technical design, project economics, contractor coordination, installation, commissioning, and performance verification. The engineer will help clients lower energy costs, improve building operations, and meet emissions and regulatory requirements, including NYC Local Law 97. Key Responsibilities Building Assessments & Energy Audits • Conduct on-site building walkthroughs, energy audits, equipment surveys, and interviews with facility teams to identify efficiency and decarbonization opportunities., • Evaluate HVAC, heating and cooling plants, domestic hot water, electrical systems, building automation and controls, and other major energy-consuming equipment., • Review utility bills, interval energy data, operating schedules, equipment inventories, and MEP drawings to establish baseline performance and identify savings opportunities. Engineering Design & Decarbonization Solutions • Develop and prioritize energy conservation measures (ECMs), including HVAC optimization, controls upgrades, electrification, heat pumps, equipment replacements, and operational improvements., • Perform engineering calculations, energy savings estimates, feasibility studies, and lifecycle cost analyses to develop technically and financially viable solutions., • Prepare scopes of work, conceptual designs, equipment recommendations, implementation roadmaps, project budgets, and client-facing technical proposals., • Coordinate with external MEP engineers and design professionals, review engineering drawings, and help translate recommendations into buildable projects. Project Management & Implementation • Own projects from assessment and design through procurement, installation, commissioning, and closeout., • Prepare contractor RFPs, evaluate bids, select vendors, and coordinate contractors, property managers, facility staff, and other stakeholders., • Manage project schedules, budgets, permitting coordination, deliverables, and quality; resolve technical and field issues during implementation., • Verify installed measures and monitor post-project performance against expected energy and cost savings. Compliance, Incentives & Client Coordination • Assess building emissions and energy performance, identify pathways toward NYC Local Law 97 compliance, and support related compliance planning and documentation., • Identify and support applications for relevant utility and government incentive programs, including Con Edison and NYSERDA offerings., • Present findings, recommendations, project economics, and progress updates clearly to owners, asset managers, and building operations teams., • Collaborate with Logical Buildings’ software, analytics, customer success, and business development teams to identify and execute opportunities across the portfolio. Qualifications • Bachelor’s degree in Mechanical, Electrical, Architectural Engineering, or a related engineering discipline., • 5+ years of experience in building energy engineering, energy audits, HVAC systems, retro-commissioning, or energy project implementation., • Strong working knowledge of commercial and multifamily mechanical systems, building controls, and energy conservation measures., • Experience conducting site assessments, estimating energy savings, developing project scopes, and managing contractors and implementation., • Ability to analyze utility data, engineering drawings, project economics, and technical reports., • Excellent project management, problem-solving, and client communication skills; comfortable working independently in occupied buildings., • Familiarity with NYC Local Law 97, ASHRAE energy audits, and NY/NJ utility incentive programs preferred., • PE, CEM, or related professional certification is a plus. Why Join Logical Buildings Logical Buildings offers the opportunity to turn building energy insights into real-world projects that reduce operating costs and carbon emissions for a substantial commercial and multifamily customer base. You will work directly with property owners and building teams, take ownership of projects from concept to completion, and leverage our energy technology platform to measure results. This position offers meaningful responsibility, collaboration across disciplines, and the opportunity to shape a growing decarbonization and compliance practice. $115k - $155k (negotiable based on seniority/PE)

People Operations Lead Location: New York, NY Employment type: Full-time Work arrangement: In person at Harmoni’s NYC office Reporting to: Co-founders Compensation: $120,000–$150,000 base salary, plus equity and benefits. About Harmoni Harmoni is a manufacturing technology company building a new kind of operating system for the factory floor. Our factory orchestration platform connects machines, people, materials, and data in one intelligent operating layer. By bringing together real-time information, workflows, automation, and AI, Harmoni helps manufacturers improve throughput, reliability, and on-time delivery. We are a growing, highly collaborative team based in New York, NY, and Akron, OH. We are venture-backed and recently raised our Series A to accelerate the growth of our platform and team. We operate with a flat structure, move quickly, and give people meaningful ownership of their work. This is an opportunity to help define how a new category of industrial technology is understood - and how Harmoni shows up in the world. The Role Harmoni is hiring its first HR person. You will own the entire people function, and recruiting is your top priority. This role does not come with an HR team or a playbook. You are the department. Some weeks you will be running six searches at once. Other weeks you will be rewriting the handbook, sorting out payroll in a new state, and helping a manager through a hard performance conversation. You will report directly to the founders. The job grows with the company. The right person builds the function now and grows into leading it, with a team, as Harmoni scales. What You’ll Own Recruiting and Talent Acquisition • Own full-cycle recruiting across engineering, product, sales, customer success, and operations, from intake meeting to signed offer., • Partner with hiring managers to define roles, write job descriptions, and build structured interview processes., • Source candidates directly. The people we need rarely apply on their own, so you will go find them., • Run our ATS, track pipeline metrics, and keep hiring managers on pace with feedback and decisions., • Manage offers, references, and background checks, and close the candidates we want., • Decide when to use agencies or recruiting vendors, and when not to., • Build Harmoni’s employer brand through LinkedIn, referrals, events, and the candidate experience itself. Onboarding and Offboarding • Build an onboarding program that gets new hires productive fast, whether they sit in New York, Akron, or a remote sales territory., • Own new hire paperwork, I-9s, equipment coordination, and first-week plans., • Run offboarding that is respectful, compliant, and well documented. HR Operations, Payroll, and Benefits • Own our HRIS and payroll, working with our payroll and benefits providers., • Administer benefits, open enrollment, and leaves of absence., • Register and stay compliant in every new state we hire in., • Keep employee records accurate and audit-ready. Policies and Compliance • Write and maintain the employee handbook and core policies., • Track federal, state, and local employment law across a multi-state workforce., • Own compliance on wage and hour, worker classification, required trainings, and postings., • Know when an issue needs outside counsel, and manage that relationship. Employee Relations and Performance • Be the trusted, confidential point of contact for employees and managers., • Handle conflicts, investigations, and sensitive issues with judgment and discretion., • Build a performance review and goal-setting process that is simple enough that people actually use it., • Coach managers, many of them first-time managers, on feedback, performance plans, and difficult conversations. Compensation and Org Planning • Build job levels and compensation bands, and benchmark them against the market., • Administer equity grants in partnership with finance., • Support administration of sales commission plans., • Work with the founders on headcount planning and org structure. Culture, Engagement, and Development • Keep the culture strong across two offices and a remote team., • Run regular engagement check-ins and act on what you hear., • Build early career paths and learning and development programs., • Plan team events and offsites. People Data • Report on headcount, hiring funnel, time-to-hire, retention, and attrition, and use the numbers to make better decisions.. What Success Looks Like In Your First 90 Days • You understand the business: what we build, who we sell to, and how the team works., • You own our active searches and run the hiring process end to end., • You have audited our payroll, benefits, compliance, and policies, and have a prioritized list of gaps., • Every new hire gets a consistent, well-run onboarding., • Our handbook is current and compliant in every state where we have employees., • Founders and managers come to you first with people issues. Over Time • We hire the right people quickly, and they stay., • Hiring managers trust your process, and candidates walk away impressed even when they do not get the offer., • No compliance surprises., • Performance and pay decisions are fair, consistent, and easy to explain., • Our people plans stay ahead of growth, not behind it., • You grow into leading People at Harmoni and build your own team. What We’re Looking For • 3-5 years of HR experience, with significant hands-on recruiting, ideally in-house., • Exposure to generalist work: onboarding, benefits, payroll, employee relations, and compliance. If you are a recruiter who has picked up generalist work and wants all of it, we want to hear from you., • Experience hiring for both technical and commercial roles., • Working knowledge of employment law and multi-state compliance, and the honesty to say when you need to check., • Comfort with HRIS, ATS, and payroll systems., • Sound judgment and real discretion with confidential matters., • Strong organization across many concurrent priorities., • Clear, direct writing, from job posts to policies to sensitive employee emails., • The ambition to build a function and lead it. Bonus Points • Experience at a startup or high-growth company., • Experience as the first or only HR person, building from scratch., • Recruiting software or hardware engineers., • Background in manufacturing, industrial, or hardware companies., • Hiring and managing remote employees across multiple states., • Equity administration experience., • SHRM-CP or PHR certification. You do not need to match every preferred qualification. If you have run real searches, handled real people issues, and want to own the whole thing, we encourage you to apply. The Right Person for This Role You want ownership. You would rather build the system than inherit one, and you are not waiting for someone to hand you a plan. You treat recruiting as a craft. You learn the business well enough to know what great looks like in each role, you can talk to an engineer and a sales rep in their own language, and you sell Harmoni honestly to the people we need. You are the person people trust with hard things. You keep confidences, you tell leaders what they need to hear, and you treat every employee fairly, including the ones who are leaving. You are equally comfortable closing a candidate on Monday and untangling a benefits question on Tuesday. You know the work is unglamorous at times, and you do it well anyway. Most importantly, you want to help build the team that builds Harmoni, and you want to grow into the leader of that function as we scale.

Senior AI Software Engineer (Full Stack) At Dioptra, we're transforming the way enterprises do business by turning contracts into structured business intelligence that powers enterprise systems. We're accelerating that vision by combining industry-leading AI technology with a world-class engineering team. As an early member of the Dioptra team, you'll work alongside the founders who built one of the industry's most advanced contract AI platforms and help define the future of enterprise legal technology. This is an opportunity to work on cutting-edge AI agents, influence product direction, and solve complex technical challenges in a rapidly growing market. About the Role We're looking for a Senior AI Software Engineer to help build the next generation of AI-powered contract intelligence products. You'll collaborate closely with engineering, product, and design teams to architect, develop, and scale intelligent applications that combine modern AI capabilities with enterprise-grade software engineering As one of the early engineers on this team, you will • Design, build, and maintain Agentic AI-powered applications across the full stack, • Develop intelligent workflows using modern agentic frameworks, • Architect scalable backend services and user-facing applications, • Build reliable integrations with enterprise systems and cloud infrastructure, • Drive engineering best practices, technical strategy, and architectural decisions, • Define success metrics and continuously improve product performance, • Partner directly with leadership and product teams to deliver customer value, • Take ownership of major technical initiatives from concept through production Required Qualifications Experience • 4+ years of professional experience building AI-powered software products (8+ years preferred for senior candidates), • Experience working in a SaaS startup or other fast-paced product environment, • Proven ability to thrive in ambiguous, rapidly evolving environments., • Daily experience using AI-assisted development tools such as Cursor, Codex, or similar Technical Skills • Strong proficiency in Python, • Experience with SQL and relational databases (PostgreSQL preferred)., • Hands-on experience building applications using LLMs from OpenAI, Anthropic, or similar providers., • Experience with AI agent frameworks such as LangGraph, LangChain, CrewAI, or AutoGen, • Experience designing and deploying production AI applications., • Familiarity with CI/CD pipelines, Git, and modern software development practices, • Experience with containerization and cloud platforms, including Docker, Kubernetes, AWS, Azure, or Google Cloud Platform, • Understanding of LLM evaluation, monitoring, and observability., • Experience training or fine-tuning models is a plus. Education • Bachelor's degree in Computer Science or a related technical discipline, or equivalent practical experience. What We're Looking For Successful candidates will demonstrate: • A product mindset with the ability to balance speed and quality, • Comfort owning complex technical challenges with minimal direction, • Excellent collaboration and communication skills., • A desire to make a significant impact as part of a small, high-performing team Pluses We're especially interested in candidates who have: • Built and shipped production AI applications, • Worked at high-growth startups, • Experience across both backend and frontend development., • A track record of driving technical initiatives and mentoring other engineers Why Join Dioptra? • Work directly with the founders behind one of the industry's leading AI contract platforms, • Build state-of-the-art AI agent technology used by enterprise customers, • Own meaningful technical decisions and influence product direction., • Join a small, highly collaborative team with significant autonomy., • Help shape the future of enterprise AI and contract intelligence.

About OneRange Every company is being asked to reskill its people for an AI-driven world, and the old approach isn’t keeping up. One-size-fits-all courses go unfinished, and building good training takes months most L&D teams don’t have. Meanwhile, the gap between the skills people have and the skills their work needs keeps growing. OneRange is changing that with individualized upskilling. We recently launched Vero, an AI-native training platform that finds where each person’s skill gaps are and then automatically produces engaging, interactive training to close them. That includes coaching, role-play and practice built around each person’s role and their company’s own context. L&D and People teams get a clear view of the skills their people are building, without spending months creating content. Our vision is a workplace where every employee gets training made for them, as fast as their work is changing. The Opporunity This is a chance to get in early and help build something that matters. You will work side by side with our co-founders, with a real seat at the table as we build and scale the company. Your ideas will shape our product, how we serve customers, and how the market sees us. You will be the person our customers trust most. You will own their success, bring their voice into every product decision, and represent them, and OneRange, to the broader People and L&D community. If you want a defined playbook and a stable process, this is not the job. If you want to help write the playbook and see your fingerprints all over a fast-growing company, it is. We practice what we build. OneRange is an AI-first company: everyone on our team uses AI every day to research, write, analyze, plan and serve customers, with Claude as our standard business tool. We are a small team that moves like a much bigger one, and we expect every teammate to bring that same AI-first mindset to their work. What You Will Do • Own customer success from day one. Lead onboarding and rollout with each customer’s People or L&D team, using best practices to set clear goals and get them to value quickly., • Drive adoption and results. Get employees using and loving our platform. Track engagement, spot accounts that are stalling, and step in early with a plan., • Own the relationship. Be the main point of contact for your accounts. Run regular check-ins and business reviews that show customers the skills and impact they are getting., • Be the voice of the customer inside OneRange. Work hand in hand with our product and engineering team. Turn customer feedback, requests and issues into clear, prioritized input, test new features with customers, and close the loop when something ships., • Be the voice of the customer outside OneRange. Partner with marketing to lead webinars, build and engage our community of People and L&D leaders, and share customer stories that show what modern workplace learning looks like., • Grow accounts. Own renewals and find opportunities to expand how customers use OneRange across their organizations., • Build the function. Create the playbooks, health checks and customer resources that let us scale as we grow. What we are looking for • 3 to 6 years in account management, customer success or implementation at a B2B SaaS company, • Experience in HR tech, working directly with People Operations and Learning & Development teams as your customers, • You understand how People and L&D leaders think: their budgets, how they roll programs out to employees, and how they prove impact to leadership, • You have worked closely with product and engineering teams. You can translate a customer problem into something an engineer can act on, and explain a technical answer back in plain language, • AI fluent. You use AI every day to do better, faster work, not just to answer the occasional question. Expertise in Claude is preferred. All candidates complete a short AI literacy and fluency assessment in Claude as part of the interview process, • Comfortable in front of an audience, whether that is an executive business review, a webinar or a community event, • You get energy from a small team and are comfortable when priorities, products and processes change week to week, • Organized and proactive. You can manage many customers at once without anything falling through the cracks, • Strong written and verbal communication Nice to have • Experience at an early-stage or startup company, • Experience hosting webinars or building a professional community, • HubSpot experience What we offer • Base salary: $95,000 to $120,000, depending on experience, • On-target earnings: $115,000 to $145,000, including variable pay tied to customer adoption, renewals and expansion, • Equity: Stock options, so you share in the company you help build, • Benefits: Health, dental and vision insurance, • Unlimited PTO, • Flexibility: In our SoHo office Tuesdays and Thursdays, with flexibility to work remotely the rest of the week, • Direct impact: Work directly with the co-founders and help shape the product, the customer experience and the company

Are you ready to join Connecticut Innovation’s vibrant community of innovators? Connecticut Innovations (“CI”) is Connecticut’s strategic venture capital arm, and we are passionate about serving our portfolio of 220+ companies across various industries, with strengths in life sciences, technology, and climate tech. Come join one of our quickly growing portfolio companies,_n! CREW Carbon Overview CREW’s technology and services make wastewater treatment cheaper and more efficient, while permanently sequestering CO₂. Leveraging advanced chemistry, natural minerals, and AI, we’ve developed and are deploying a category-defining process intensification technology, with decarbonization at its core. Today, we help wastewater treatment facilities and operators: • Stabilize pH & alkalinity 24/7, • Eliminate hazardous chemicals & cut costs, • Avoid $100M+ infrastructure upgrades, • Capture & Store CO2 We are currently deploying this technology across the US and Europe. In addition, we’ve signed $30M+ in carbon removal offtake agreements with leading corporations looking to meet their climate goals, supercharging geographical CREW’s expansion. CREW has offices and labs in New Haven, CT and offices in Brooklyn, NY. We are funded by Counteract, ReGen, Ponderosa, Connecticut Innovations and others. We've secured large contracts with the premier buyers of carbon credits through the Frontier Climate Fund (Stripe, Shopify, Autodesk, McKinsey, among others) and have been selected by the Department of Energy as one of the few potential suppliers of high-quality carbon credits to the federal government. About The Role As a Wastewater Process Engineer at CREW Carbon, you will contribute to process design, optimization, and technical implementation of CREW’s process intensification and carbon removal systems at wastewater treatment facilities. You will use your knowledge of process modeling and engineering, aqueous chemistry, and wastewater operations to design and optimize dosing systems that achieve both treatment efficiency and measurable greenhouse gas. You will facilitate CREW’s scientific and engineering innovations into scalable, real-world systems. Working between the Tech, Ops, and Product teams, you will analyze and interpret lab and operational process data from CREW’s deployments to identify opportunities and drive action and optimizations. This will include designing and refining process flow diagrams, developing mass and energy balances, supporting demonstration and full-scale deployments, troubleshooting process performance in the field, documenting protocols, and driving customer success at partner sites. This is an ideal opportunity for a process-minded, mission-driven engineer who thrives at the intersection of environmental technology and practical system design. This position is a full-time role. Location will be onsite at our office in Brooklyn, NY or New Haven, CT. Responsibilities • Develop process flow diagrams, mass and energy balances, and dosing system designs to meet project goals., • Coordinate with the Technology and Operations teams to translate lab results and field data into insights and actions, including technical presentations/reports, data-driven operating decisions, and recommendations., • Collaborate with the Technology team to address process issues and propose technical solutions to wastewater partners, which could include process modeling, technical engineering analyses, data analyses, etc., • Serve as a technical lead for wastewater process and process-mechanical support during partner engagements, to foster satisfaction and confidence in system performance., • Work with the Operations team to set process optimization and carbon removal targets., • Own technical documentation, training, and design input to internal teams and external partners. Contribute to continuous improvement initiatives, standardization of design templates, and lessons-learned captured across deployments., • Support new project development, including alkalinity dosing design, integration into existing facility systems, and process control strategy., • Champion operational and process insights to inform project development strategy with the Commercial Team., • Stay current on emerging trends in wastewater treatment, process intensification, sustainability, and environmental technology. Experience Requirements • Bachelor’s degree (required) in Environmental Engineering, Chemical Engineering, Civil Engineering, or a related field; a Master’s or PhD degree is a bonus., • 5–8+ years of experience in wastewater process engineering, biological treatment design, or related fields (municipal or industrial)., • Strong understanding of wastewater treatment processes, including nutrient removal, solids handling, and pH and alkalinity control., • Experience developing and reviewing PFDs, P&IDs, site layouts, mass balance calculations, and process unit design., • Comfortable working in a rapidly evolving startup setting and able to quickly synthesize new information to proactively adjust focus and maintain high-impact results., • Ability to travel periodically to deployment sites., • You practice extreme ownership (no task is too small)., • You love being in the trenches with your team and working with high empathy., • You have a growth mindset. Bonus Qualifications • Familiarity with process modeling tools (BioWin, SUMO, GPS-X, MATLAB, or equivalent)., • Experience in carbon capture, carbonate chemistry, or water-chemistry-based carbon removal technologies., • Field experience with pilot systems, process commissioning, or operational troubleshooting is highly desirable., • Experience integrating instrumentation, controls, and monitoring systems for process optimization., • Experience with CAD software, including AutoCAD, Civil 3D, or Revit. Compensation The annual salary range for this position is competitive and will depend on many factors including experience, education, and expertise. We offer a competitive benefits package with insurance, vacation, retirement, and equity options. CREW Highlights • _ with the Frontier Climate Fund in 2024, • in 2024 to be a potential supplier of high-quality carbon credits to the federal government, • _ by US Senator Chris Murphy in 2024, • _, the leading water sector innovation accelerator in 2024, • _ as “One of the Most Promising Climate-Tech Startups of 2023 CREW Carbon is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We have strict wage minimums, generous benefits, and personal leave policies. Our goal is to provide safe, rewarding, and empowering work environments for all who interact with our company.

About the Role QuadSci is looking for a hands-on, results-driven Field Marketing Manager to drive regional marketing initiatives, build relationships with our target audience, and generate pipeline through events, partnerships, and targeted campaigns. You’ll work closely with Sales, Partnerships, and Marketing to develop and execute programs that bring QuadSci closer to customers and prospects. This is an opportunity to build our field marketing function from the ground up, creating memorable experiences and measurable business impact in a fast-growing company. We’re looking for someone who combines creativity with operational excellence, enjoys being in the field, and knows how to turn marketing activities into meaningful commercial outcomes. What You’ll DoEvents & Field Marketing • Own the strategy, planning, and execution of QuadSci field marketing programs, including conferences, trade shows, executive dinners, meetups, and customer events., • Manage awards submissions, industry recognition programs, and other opportunities to increase QuadSci's visibility and credibility., • Identify and prioritize events where QuadSci can meaningfully engage with target customers and prospects., • Manage event logistics, budgets, vendors, sponsorships, and promotional activities., • Create engaging experiences that strengthen QuadSci’s brand and build relationships with our target audience., • Adapt messaging, content, and promotional materials to the specific event, audience, and engagement opportunities., • Develop creative ways to maximize engagement before, during, and after events. Pipeline Generation & Sales Alignment • Partner closely with Sales to develop regional marketing programs that support pipeline generation and account engagement., • Collaborate with QuadSci's GTM Engineer to develop and execute targeted campaigns, leveraging technical resources and marketing automation to drive engagement and pipeline., • Coordinate cross-functionally across Sales, Engineering, and other QuadSci teams to ensure marketing programs are aligned, well-executed, and supported by the right resources., • Design targeted campaigns for key accounts, industries, and strategic markets., • Drive pre-event outreach, lead capture, follow-up, and conversion into sales opportunities., • Track event and campaign performance, including pipeline contribution, ROI, and engagement., • Continuously evaluate campaign performance and optimize programs to improve pipeline contribution and return on marketing investment., • Ensure marketing programs align with Sales priorities and commercial objectives. Partnerships & Ecosystem • Collaborate with technology partners, industry organizations, and ecosystem stakeholders to develop joint marketing initiatives., • Identify opportunities for co-hosted events, sponsorships, and partner-led campaigns., • Build relationships that expand QuadSci’s reach and strengthen our presence in the market. Marketing Operations • Manage field marketing budgets, timelines, vendors, and program logistics., • Maintain event calendars and coordinate cross-functional marketing activities., • Develop repeatable processes for event execution, lead management, and campaign measurement., • Communicate program outcomes and insights to leadership and stakeholders. What We’re Looking For • Experience in field marketing, B2B events, demand generation, or regional marketing, ideally within a B2B SaaS or technology company., • Proven experience planning and executing events, conferences, executive dinners, or other field marketing programs., • Strong project management skills and the ability to manage multiple programs simultaneously., • Experience collaborating with Sales teams to generate pipeline and support account-based marketing initiatives., • Understanding of lead management, campaign attribution, and marketing performance metrics., • Strong communication and relationship-building skills., • A creative, resourceful, and highly organized approach to execution., • Comfort operating in a fast-paced startup environment with a high degree of ownership. Nice to Have • Experience marketing technical products to developers, engineering leaders, or enterprise technology buyers., • Experience with partner marketing and co-marketing programs., • Familiarity with Salesforce, HubSpot, or other marketing and CRM platforms., • Experience managing conference sponsorships and speaking opportunities., • Existing relationships within the technology or enterprise software ecosystem.What Success Looks Like, • QuadSci has a strong and growing presence at relevant industry events and within our target markets., • Field marketing programs generate meaningful engagement with target accounts and contribute measurable pipeline., • Sales teams are equipped with effective regional programs and experiences that support commercial priorities., • Events and campaigns are consistently executed at a high standard and deliver measurable ROI., • QuadSci builds stronger relationships with customers, prospects, and strategic partners through memorable marketing experiences.

Sourgum is transforming the $100B+ waste and recycling industry through cutting-edge technology that makes waste removal simpler, smarter, and more cost-effective. Our innovative haulsourcing platform powers high-quality waste and recycling services for businesses at significantly lower costs—saving our customers an average of 20%. Leveraging proprietary datasets, an advanced operating system, and a carefully curated network of 5,000+ trusted vendors, we help companies of all shapes and sizes streamline their operations while advancing sustainability efforts. We're a fast-growing, venture-backed company (just closed our Series A!) on a mission to modernize an outdated industry — and we're just getting started. Our investors include Spark Capital, Founder Collective, Suffolk Technologies, 186 Ventures, and River Park Ventures, the same funds that backed category-defining companies like Slack, Anthropic, Uber, Venmo, and Amazon Pharmacy. If you're driven by the opportunity to build something groundbreaking, we'd love to meet you. Location: Jersey City, NJ (Hybrid: 3 days in office, 2 remote) Compensation: $230K – $260K base • Offers Equity THE TEAM At Sourgum, we're building the operating system for the waste and recycling industry—bringing transparency, standardization, and accountability to a historically fragmented space. Our platform connects customers with a nationwide network of local operators, and our software runs the day-to-day business of the haulers themselves. Our engineering team is small, senior, and AI-native. Every engineer builds with AI coding agents every day, ships continuously, and owns outcomes end to end. We already run AI agents in production across customer service, sales, vendor relations, business intelligence, and engineering itself—including an agent that triages bug reports, finds the root cause in our code and data, and plans the fix. THE ROLE As Staff Engineer, Agent Platform & Quality, you will own the pipeline that lets AI agents build our software: a ready ticket goes in, coding agents build it, automated testing and evaluations check it, and it ships to production continuously. You'll make every engineer and every agent at Sourgum faster and safer. This is a hands-on staff role. You'll set the technical direction for how we build with agents, and you'll write and ship the code yourself. This role is ideal for engineers who love building the tools other engineers depend on, hold a high bar for quality, and want to define what an AI-native engineering team looks like. WHAT YOU'LL BE DOING • Own our agent build pipeline, from a ready ticket to a coding agent's pull request to a production release, and be the expert the rest of the team turns to when tuning it, • Build the evaluations and automated checks that block a change when quality drops, replacing manual QA, • Move us to continuous deployment, with feature flags, gradual rollouts, and automatic rollback • Give every change a realistic test environment before it merges, • Monitor every agent run for quality, cost, and failures, with a fallback to people when needed, • Keep our agents safe around real customer data and real money, • Ship product features across the stack when the team needs it THE QUALIFICATIONS YOU NEED • Typically 8+ years of professional software engineering, with a track record of promotions or growing scope, • Deep backend and infrastructure experience: APIs, PostgreSQL, containers, Kubernetes, CI/CD, and AWS, • Production experience building or running LLM-powered systems and owning their quality • A history of building internal platforms or developer tooling that other engineers adopted • You build with AI coding agents (Claude Code, Cursor, Codex, or similar) every day and have clear opinions on how to make them reliable • Strong security instincts and comfort on a small team: you ship, review, deploy, and take on-call yourself NICE TO HAVE • Evaluation and tracing tools (for example Braintrust, LangSmith, OpenTelemetry), • Model Context Protocol (MCP) servers and agent tool design, • Payments or financial systems where correctness is critical OUR STACK TypeScript/Node.js and Go services; React on the web; Flutter for mobile; PostgreSQL, Elasticsearch, and Redis; AWS (Kubernetes, Terraform); BigQuery and Metabase; Datadog. Our repo is set up for Claude Code, Cursor, and Codex. BENEFITS • Company stock options as part of your compensation package, giving you the opportunity to share in our company's success and build long-term financial growth., • A positive and collaborative work environment with a focus on innovation and sustainability., • Flexible/Unlimited PTO, • Comprehensive benefits package including health insurance (medical, dental, vision, LTD, Life Insurance, etc.), retirement plans (401K)., • Access to hundreds of gyms, studios, and wellness apps—all through one easy membership provided by your Wellhub., • Yearly Personal Development Budget, • Opportunities for professional development and career advancement within a growing company., • Hybrid: 3 days in office, 2 remote days

Staff Product Manager About Dioptra (an Icertis company) Contracts are still processed by hand, even though the work touching them — ERP, CLM, email, Slack/Teams, SharePoint, Word, Excel, procurement systems — spans a dozen disconnected tools. Most of the effort in contracting isn't judgment or drafting; it's gluing those systems together. Dioptra is building Contract OS: an agentic platform that does that gluing for you. Agents draft, negotiate, and review pre-signature; extract, monitor, and operationalize post-signature; and execute workflows across every system a contract touches — turning contracts from documents people process into live objects agents operate. We work deep inside the enterprise contracting stack (Icertis, SAP, SharePoint, Word, Excel, Outlook, Teams), which means real technical depth, real enterprise customers, and a market that's actively shifting toward AI-native tooling in real time. We're a small, technical team that ships fast and holds a high bar. This is a founding-level seat with direct access to the founders and real ownership from day one. The Role This is our first PM hire. Product at Dioptra has been owned by the founders. The goal is to have you work very closely with them. You’ll take it over: set the direction for Contract OS, decide what we build and what we don't, and stay with it until enterprise teams are actually running their contracting work on it. Our customers are very good at telling us what hurts today. Your job is to figure out what they'll need a year from now and make the case for building it now. We think of this as a revenue role. What you choose to build determines which deals we win, which customers expand, and how quickly agents take over work that legal, procurement, and GTM ops teams still do by hand — and you'll be measured on that, not on features shipped. Above all, we're looking for a founder's instinct. You own the outcome from end to end. You have strong opinions, back them with evidence, change your mind when someone has a better one, and then commit. You move with urgency when the problem is half-defined, and you know when to trust what customers are asking for and when your own judgement has to override it. Here's what that looks like day to day, and what it takes to do it well: • Own Contract OS end to end. Strategy, a rolling 3–6 month roadmap, and a point of view on where the platform goes over the next year — from the first customer conversation through launch, adoption, and iteration. You decide what matters next and what can wait, and you can explain why you said no, not just what you said yes to., • Live with customers. Sit on calls, watch legal, procurement, and GTM ops teams move a contract across Word, SharePoint, SAP, and Icertis, and dig through transcripts and tickets. Separate signal from noise, and turn what you learn into product direction — not a backlog of feature requests., • Prototype before the meeting. Use Claude Code, Cursor, or whatever is fastest to turn an idea into something people can click and put it in front of customers and engineers. Show, don't tell. This means you've actually built with these tools, not just watched a demo., • Know how agents actually work. Understand our agent architecture well enough to talk tradeoffs with engineering — context, evals, latency, model behavior, where a step should be deterministic vs. probabilistic, why a prompt breaks — and to explain to a customer what's possible and what isn't. Challenge engineering assumptions; don't just relay them., • Design for trust. Contracts are high-stakes, regulated work. Treat evidence, auditability, permissions, and human review as core product, not afterthoughts. Our buyers won't hand work to an agent they can't verify., • Ship features that land, not features that launch. Partner with sales, marketing, and customer success on positioning, launches, and enablement, and sequence releases against the enterprise go-to-market calendar. Define success before you ship, pull your own numbers, and go back to check whether you were right., • Be the connective tissue. Sit between the founders, engineering, customer success, and sales, and make complicated things clear to people who aren't in the weeds with you. Your specs and decision docs should be clear enough for one engineer to ship from — and should reduce meetings, not create them., • Build the product function. How we prioritize, how we document, how we run launches, and how we measure what worked. The frameworks you set up are the ones the product team will grow into. You'll have an edge if: • You have 4+ years in product management at B2B SaaS or AI-native companies, including something you personally took from a vague idea to a product customers rely on — and you can explain what you shipped, why, and what happened afterward., • You've shipped AI or LLM-based products into production, where AI is the core of the product, not a bolt-on., • You've worked at an early-stage startup (seed to Series B), you're a past founder, or you've been the first PM somewhere — and you have opinions about what you'd do differently the second time., • You've built for enterprise buyers — legal, procurement, finance, or another regulated team with a sophisticated buyer and a long trust curve., • You know the contracting world — CLM, ERP, procurement systems, or legal ops. You don't need a legal background, but you should care how these teams think and what makes them trust a new tool., • You're self-sufficient with data: comfortable with funnels and cohorts, pulling your own numbers with SQL or coding agents, and questioning how a metric is defined. The Team You'll Work With You'll work directly with the founders of Dioptra, who have owned product until now — expect a real handoff, and expect them to argue with you. You'll work shoulder to shoulder with an engineering team that holds a high bar — clean, deliberate work, iterative — and you'll be expected to bring the same rigor to product decisions. You'll also partner closely with sales, customer success, and marketing, and with product and field teams across Icertis. Given how early this seat is, you'll be the person setting the tone for how “product” gets done here going forward. Equal Opportunity Icertis is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status or any other characteristic protected by law. If you need accommodation at any stage of the process, tell us and we'll arrange it.

Modis is seeking an SVP – AI Infrastructure Solution Engineer for a Direct Hire position with a client located in New York, NY. Ideally looking for applicants with a solid background in the financial services industry. Salary Range: $150,000k to $180,000k annually + benefits. The Salary may be negotiable based on experience. Sr. Specialist, Incident Management - Corporate Treasury job responsibilities include: • Engineering Strategy & Architecture, • Define and execute the engineering vision and technical roadmap for enterprise infrastructure automation initiatives., • Lead the adoption of Applied AI and Generative AI technologies to improve operational efficiency and user experience., • Drive API-first architecture, integration standards, and governance across internal platforms and enterprise applications., • Evaluate emerging technologies and recommend solutions aligned with business transformation objectives., • Design scalable, reusable automation frameworks and intelligent service delivery capabilities., • Lead development of conversational AI solutions capable of resolving a significant percentage of internal infrastructure support requests., • Build and scale automation capabilities supporting infrastructure domains such as access management, applications, network services, and platform operations., • Drive implementation of AI-powered solutions across multiple engagement channels, including tickets, chat, and voice., • Establish metrics and KPIs to measure automation effectiveness, adoption, service quality, and business impact., • Ensure all AI agents and automation solutions align with enterprise governance and platform standards. To fulfill this role the Incident Management Coordinator will be required to: • Leadership Experience, • 10+ years of progressive software engineering experience., • 5+ years leading engineering organizations, technical programs, or transformation initiatives., • Proven experience managing multiple engineering teams across locations and disciplines., • Demonstrated success delivering large-scale enterprise technology transformation programs., • AI & Automation, • Experience implementing Applied AI, Generative AI, or intelligent automation solutions in enterprise environments., • Large Language Models (LLMs), • Retrieval-Augmented Generation (RAG), • AI/ML pipelines, • Conversational AI platforms, • AI governance and responsible AI practices, • Experience measuring, optimizing, and scaling automation programs., • Application Development Qualifications • Experience within financial services, banking, or highly regulated enterprises., • Experience leading enterprise help desk, infrastructure operations, or service automation initiatives., • Background building omnichannel customer or employee support solutions., • Experience with enterprise AI platforms and agent-based architectures., • Advanced degree in Computer Science, Engineering, or related discipline. If you are interested in this SVP – AI Infrastructure Solution Engineer job in New York, NY, then please click APPLY NOW. For other opportunities available at Modis go to _.If you have questions about the position, please contact Varun Mahajan at 610-230-7027 or varun.mahajan@Modis.com. Equal Opportunity Employer/Veterans/Disabled Benefits include but are not limited to: • 401(k) with match, • Comprehensive medical insurance (PPO, HSA), • Dental insurance (PPO), • Vision assistance, • Three weeks of Paid Time Off to Start; Accumulating Structure Afterwards, • Paid Holidays Off Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pays upon meeting eligibility criteria. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit Website Privacy Policy | Modis. The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance

Location: New York, NY (hybrid, 3 days a week in office) Employment type: Full-time Salary range: $130,000–$150,000, plus bonus Reports to: VP, Network & Content Operations About Curacity Curacity is a two-sided marketplace connecting travel brands that need to be discovered with the publishers, travel writers, and content creators travelers actually trust. Hotels and cruise brands define the editorial coverage they need; our network of publishers and creators produces original content; Curacity coordinates the fulfillment and measures the outcomes. We operate two products on that network. Newsletter places original editorial recommendations in front of publisher subscriber audiences and ties the resulting bookings back to the content that drove them. Vista AI builds the distributed editorial footprint that determines whether a property gets recommended when a traveler asks ChatGPT, Perplexity, Google AI Mode, or Gemini where to stay. Curacity partners with publications including AFAR and Travel + Leisure, and was named among Inc. 5000's Top 20 Travel & Hospitality Companies and Digiday's Best Content Marketing Platform of 2024. We are headquartered in New York with an office in Stamford, CT. About The Role We're looking for a builder to design, build and run the AI system behind Curacity's content, and to lead our owned travel brands, Inside Hotels and A Hotel Life. Our in-house studio already creates custom editorial content for more than 1,000 newsletter features a month, with AI supporting every stage from deciding what to write through drafting, editing and logging. What we need now is someone to turn that into one engineered system that scales as volume grows and channels expand: from long-form web articles to social media content down the line. This is a human-in-the-loop system by design. AI should give our in-house editors real leverage, so they spend their time optimizing quality, not maintaining tools or racing to keep up with volume. Content is what our customers come for. It has to be good, and it has to be correct: there is no margin for factual error. You'll treat this system as a product. Our content team is its first user; publishers are its eventual one. You'll get the inputs right (the hotel facts and marketing goals, publisher style guides and specs) and the outputs right (quality that holds as volume grows). You'll scale output in the near term while building, with our Product and Engineering teams, toward content publishers can generate for themselves. Where This Role Sits You'll work in the office alongside the content team, because the best requirements come from watching production every day. You'll plan with Product and Engineering on a shared roadmap: the studio prototypes and proves new systems and formats, and Product and Engineering harden and scale the ones that work. What You'll Do Build the content engine • Map and instrument the current production line: time per piece, revision rounds, and where content errors and system bottlenecks occur., • Audit the current system and tools, and choose the stack for the new build with Product and Engineering: tools that solve near-term needs and can grow into the long-term platform., • Consolidate today's separate AI tools and agents into one documented, version-controlled pipeline that more than one person can maintain., • Get the inputs right by turning hotel facts, publisher guidelines and image libraries into structured sources of truth the system reads at runtime, not instructions buried in prompts., • Get the outputs right with evals that score every draft against publisher rules and hotel facts before a person reads it, and catch regressions when prompts or models change., • Keep editors in the loop where judgment matters, so AI handles the volume and people make the final call on quality and accuracy., • Extend the engine across channels, from newsletters to web articles and social content down the line., • Stay on the frontier: test new models and tools as they ship, adopt what works and retire what doesn't. Build toward publisher self-service • Define the requirements and architecture for content on demand, together with Product., • Prototype and test with real users, then hand proven designs to Engineering to scale., • Design the guardrails self-service needs: brand standards, hotel review rights, error tracking and approvals. Run the studio • Lead the content team, train them on new systems as they roll out, and help them become operators who maintain and extend the system they use., • Plan capacity against demand, and direct freelance support where it makes sense., • Own the quality bar across every publisher in our network, and fix problems at the system level., • Partner with Network Operations, Partnerships, Customer Success and Sales on the content we deliver. Grow our owned brands • Set audience growth strategy for Inside Hotels and A Hotel Life across email, web, social and AI search., • Lead the A Hotel Life team remotely, including its editor-in-chief, senior editor, social media manager and contributors., • Use the owned brands to test new formats and channels before they launch with partners. What This Role Is Not • Not an editor. You need a sharp eye for quality and voice, and the ability to turn "this doesn't work" into a rule or a test. You won't be line-editing copy., • Not a prompt writer. You'll build agentic workflows, with evals and monitoring, that run reliably instead of prompts someone has to babysit., • Not a product engineering job. You'll write code most days, but you'll build content systems, not ship features in Curacity's product., • Not a product manager on a product team. You'll own a content system and its results, sit with the people who use it, and partner with Product on what it becomes. The Impact You'll Have • Growth. Curacity-written content powers most of our newsletter placements, and demand is set to roughly double. The system you build is what lets us meet it., • Speed to revenue. New hotels and media partners start earning when their content is ready. Faster content means faster launches., • Retention. Content quality is a big part of why hotels renew. You'll keep that quality high as volume grows., • Leverage. You'll build a system that lets a focused team keep pace with growing demand., • New products. Your prototypes become the foundation for publisher self-service and for Vista AI's editorial content., • Owned brands. Growing Inside Hotels and A Hotel Life drives booking revenue and builds the AI search visibility our hotel partners pay for. Required Qualifications • A track record of building AI systems other people rely on: agentic workflows shipped to real users, such as content pipelines, tool-using agents, MCP servers or Claude skills, with structured inputs, evals and monitoring. We'll ask you to show us what you've built., • 5+ years of professional experience. We care more about what you've shipped than where you started., • Comfort in code. You can write, read and debug Python or TypeScript, work with APIs, webhooks and databases, and make changes without waiting on an engineer., • Product instincts: you've scoped and shipped tools non-technical teams use every day, and you write requirements engineers can build from., • A strong eye for content quality and brand voice, and the ability to turn that judgment into rules and tests., • Experience leading people, including remote teams and freelance contributors., • An understanding of how media brands grow audiences through email, search, AI search and social., • Commercial judgment about how content drives bookings, renewals and revenue., • Comfort building a new function while the product it serves takes shape. What you might call yourself: content engineer, AI engineer, solutions or forward-deployed engineer, content operations lead, or an editor or writer who became a serious builder. Preferred Qualifications • Content generation at scale in media, publishing, e-commerce or marketing technology., • Image generation and editing pipelines, or video and script workflows for creators., • Travel, hospitality, luxury or lifestyle media., • Superhuman Docs (formerly Coda), Airtable or Notion, plus Mailchimp and WordPress APIs., • SEO, GEO or AI search visibility. What We Offer Curacity offers a competitive package which includes base salary, equity, and comprehensive benefits, including: • Healthcare: Comprehensive medical and dental insurance plans, long-term disability policy, generous company contribution, • Retirement: 401(k) match – up to 4% of your total eligible compensation matched dollar-for-dollar (US-based employees), • Flexibility: Hybrid Work for NYC-Based Roles: Virtual (2 Days); In-office (3 Days); Multiple “work from anywhere” periods/year, • PTO: Generous PTO policy, in addition to 10+ public holiday closure dates, • Wellness: $100 monthly stipend for health and wellness-related activities, • Recognition: Birthday, anniversary, and other everyday surprises and gifts to recognize our team members, • Culture: Casual, collaborative (and dog-friendly!) work environment in the heart of Flatiron Equal Opportunity Curacity is proud to be an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, including pregnancy, childbirth, or related medical conditions, sexual orientation, gender identity or expression, age, national origin, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Overview We are seeking a technical relationship builder who creates and grows capital-equipment sales opportunities. Travel: 20-30%; primarily U.S. and mostly air. Growth path: Sales or division leadership potential. About the Role The Sales Engineer is responsible for developing new and existing customer relationships for our medical-device manufacturing equipment and medical-device packaging solutions. This is a technical capital-equipment sales role requiring both hunter and farmer capabilities: creating new opportunities, developing our established customer and prospect database, visiting customers, and expanding relationships by understanding how customers manufacture and package their products. The role is on-site when not traveling and is designed for a technically curious, service-minded seller who can grow into broader sales or division leadership. Responsibilities • New-business development. Proactively identify, contact, and develop prospective customers through our database, referrals, marketing leads, trade shows, targeted outreach, and market research., • Account growth. Maintain and deepen relationships with existing customers, including equipment-anniversary outreach, application reviews, site visits, and discovery of additional needs., • Technical discovery. Learn how customers manufacture and package their products; ask effective questions; connect customer problems to appropriate our capabilities and solutions., • Customer visits and travel. Travel throughout the United States for customer meetings, facility visits, demonstrations, trade shows, and opportunity development. International travel may occur occasionally., • Opportunity management. Qualify opportunities, establish next steps, coordinate resources, maintain momentum through long capital-equipment sales cycles, and communicate realistic forecasts., • Proposal coordination. Work with Applications Engineering, Sales Support, Engineering, and Costing to develop accurate quotations and presentations; explain scope, options, tradeoffs, and value to the customer., • Relationship stewardship. Follow through consistently, serve customers honestly, and pursue solutions that genuinely help rather than selling unnecessary options., • CRM discipline. Maintain complete contact, activity, opportunity, quote, forecast, and follow-up information; use CRM reports and customer history to plan outreach., • Digital selling. Lead effective Microsoft Teams meetings, share drawings and documents, communicate professionally by phone and email, and use modern sales and collaboration tools independently., • Cross-functional coordination. Work with Applications Engineering, Engineering, Service, Operations, Marketing, and leadership to align customer needs with our capabilities., • Market feedback. Report customer trends, competitor activity, emerging applications, and product opportunities that may support future growth. Qualifications • 3 + years of successful technical, industrial, automation, capital-equipment, or closely related B2B sales experience., • Demonstrated success developing new business and maintaining long-term customer relationships; must enjoy both hunting and farming activities., • Strong mechanical and technical aptitude with the ability to learn equipment, manufacturing processes, and customer terminology quickly., • Ability to discover customer needs, connect technical problems to solutions, and communicate value without overselling., • Willingness and ability to travel approximately 20-30%, primarily by air within the United States, based on customer and trade-show needs., • Proficiency with CRM systems, Microsoft Teams, digital presentations, shared files, email, and standard business software., • Strong communication, presentation, listening, organization, persistence, and independent follow-through skills., • Ability to work on-site in Morristown, New Jersey, when not traveling. Relocation is considered only for exceptional candidates. Required Skills • Selling custom machinery, automation, industrial equipment, packaging systems, or machine-control solutions with multi-month sales cycles and order values from approximately $30,000 to $1 million., • Experience with medical-device manufacturers, machine builders, system integrators, or regulated manufacturing environments., • Engineering or related technical degree; equivalent technical sales success may be considered., • Experience in an ISO 9001 quality management system and a structured operating system such as EOS. Preferred Skills • Develop enough mechanical and product knowledge to discuss our equipment and customer applications with confidence and know when to involve technical support., • Demonstrate the ability to connect with people, use the CRM, pursue opportunities consistently, travel willingly, and represent our service-centered culture.. Opportunity Statement The Sales Engineer must demonstrate our core values in daily decisions and relationships: Serving Others, Determination, Integrity, Constant Improvement, and Insightfulness. Success requires caring about customers and our colleague members as much as achieving sales results. Work Environment and General Statement This position works in office, manufacturing, customer, and trade-show environments. The employee must be able to travel, safely enter production areas, observe machinery in operation, and use required personal protective equipment. Reasonable accommodations may be made to enable qualified individuals to perform the essential functions.

Are you a self-starter? Do you think differently? At Arrow Electronics, our values system empowers our employees to develop and thrive in a supportive, collaborative, professional, global, and rewarding working environment. We embrace change and continuous improvement, driving both to the mutual benefit of our clients and ourselves. We are looking for like-minded people who can share our passion for success. We are looking for a Field Applications Engineer (FAE) who has the right mix of technical prowess and business savvy and can confidently identify, select, source, win and support new business opportunities. Other qualifications include intermediate-to-advanced level experience using Excel and PowerPoint office tools, and can quickly become competent on CRM and Business Intelligence (BI) tools such as Oracle, Salesforce and Microsoft Power BI. This person should be a self-starter who can prioritize their activities to maximize Design Wins and Sales Revenue around the electronic component products and services they support. This person should be able to prioritize and be conscious of the value of the opportunities they are driving and provide appropriate levels of support and resources with an effort to maximize sales revenue and design wins. The ideal candidate will be able to quickly respond and support our salespeople with their customer's technical issues while also finding and driving new opportunities on their own. The ideal candidate should be able to quickly learn the company's sales support systems to confidently search for new leads to pursue with or without the responsible account manager. What You'll Be Doing • Spending a majority of your time in front of customers to influence component selection., • Responsible for utilizing an advanced understanding of the customer needs and technical leadership expertise to champion return on engineering investment., • Manage supplier and customer expectations by building and developing relationships, keeping stakeholders up-to-date on activities, plans, and progressing towards initiatives. Identify key relationships amongst decision makers within suppliers and customers., • Growing your account base each quarter., • Drive demand creation by maximizing Arrow content on designs. Understand customer needs and leverage Arrow's engineering and design services resources to facilitate solutions for customers. Apply technical knowledge to influence designs utilizing solution selling, resources, and strategies., • Identifying solutions and resolutions to customer design needs and issues, • Monitoring your performance metrics throughout the quarter and taking corrective action as necessary to ensure you are on track to meet or exceed them, • Presenting technical seminars and workshops around your supplier lines, • Providing frequent updates to field sales team and being a motivating force around your supplier lines., • Partner with the sales team across pre-and post-sales activities, providing technical support and consulting to promote demand creation. Technical calibrations & research with sales & other Arrow depts. & Suppliers in support of the customer design. Champion return on engineering investment, design win priorities, initiatives, and promotions by obtaining buy-in and support from sales., • Attend and actively participate in strategic branch meetings and QBR. Develop and drive strategic technical plans by supplier line or customer solutions. Participate in ArrowEDGE initiatives through branch training and customer calls. Organize engineering customer events., • Meeting with suppliers to review recent customer design activity and identify compelling solutions to promote with those customers., • Attend supplier trainings in person and via conference calls. What We're Looking For • Requires in-depth knowledge and experience with system/board/engineering solutions and electronic components., • Breadth of knowledge of electronic components., • Experience with design engineering., • Solves complex problems; takes a new perspective using existing solutions., • Independent worker; receives minimal guidance., • Acts as a resource for colleagues with less experience., • Stays up-to-date on supplier products and arrow design services in order to act as a technical-marketing advisor to customers., • New graduates are encouraged to apply! Experience / Education Typically requires a 4-year degree (electrical engineering strongly preferred) and a minimum of 5 years of related experience; or an advanced degree without experience. Work Arrangement Hybrid: 1 day in office/4 days work on the road or from home in the Rochester/Upstate NY market. What's In It For You At Arrow, we recognize that financial rewards and great benefits are important aspects of an ideal job. That's why we offer competitive financial compensation, including various compensation plans and a solid benefits package. • Medical, Dental, and Vision Insurance, • 401k, With Matching Contributions, • Short-Term/Long-Term Disability Insurance, • Health Savings Account (HSA)/Health Reimbursement Account (HRA) Options, • Paid Time Off (including sick, holiday, vacation, etc.), • Tuition Reimbursement, • Growth Opportunities, • And more! Annual Hiring Range/Hourly Rate: $91,900.00 - $165,000.00 Actual compensation offer to candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level. The pay ratio between base pay and target incentive (if applicable) will be finalized at offer. Location: US-NY-New York (Remote Employees)Remote work employees may be required to be present at the closest designated Arrow office for work-related purposes, at the Company's request and sole discretion. Time Type: Full time Job Category: Sales EEO Statement: Arrow is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, gender, age, sexual orientation, gender identity, national origin, veteran or disability status. (Arrow EEO/AAP policy) All Arrow job postings are for existing job vacancies. We anticipate this requisition will be open for a minimum of five days, though it may be open for a longer period of time. We encourage your prompt application. In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

We currently have a career opportunity for a Vice President to run our Google Practice. Perficient's Google practice holds premier partner tier. For two decades, we have built the digital platforms that healthcare, financial services, life sciences, automotive, manufacturing, and retail enterprises run their businesses on. Our Google offerings span Google Gemini, Product Development, Google Cloud Modernization, Google Agentic Data Cloud (BigQuery, Apigee, Looker, etc.) and Gemini Enterprise Customer Experience (GECX). Perficient is a global consulting firm and building the future with a Native AI Services practice anchored with Google as its hyperscale and AI platform. Agentic orchestration is rewriting what enterprises buy from Google and what they expect from the partner who implements it. Our clients are asking a harder set of questions than they were a year ago, and they are asking us. Everything we recommend, we have already built in production. The next leader of this practice will define that operating model rather than inherit it. The leader we are looking for: You have led and run a Google professional services business with a growth and revenue number attached to it, as the go-to-market leader of a consulting practice. You have sold Google services work, delivered it, and repaired programs other firms have broken. Deep Google field and executive relationships built around a consulting practice. You have built agentic delivery capabilities that clients pay for. You move between a forecast review and an architecture escalation without changing gears. You develop leaders, and you build executive relationships that extend to other team members within our practice. What you will own: You run the entire Google Services and Delivery practice, across sales, GTM, delivery, customer success, talent and utilization. Growth • Practice numbers and targets. Bookings, revenue, utilization, and growth targets for a global Google practice., • Go-to-market leadership. Own the GTM motion for the practice and the working partnership between sales and delivery that turns it into revenue., • Our most consequential Google pursuits. You are the executive clients call when the stakes are highest., • The Gemini and agentic AI capability, from zero to a business Google points clients toward., • The offering portfolio across Google Product Development, Google Cloud Modernization, Gemini, Apigee, and BigQuery. Retire what the market has stopped buying and fund what replaces it., • Conversion of the Google alliance into pipeline. Google sellers need a commercial reason to lead with us., • Account growth alongside Perficient's AI-First Marketing, Salesforce, data, and commerce practices. Delivery and financial discipline • Quality, delivery margin, and client satisfaction across a global organization., • The recovery when a program goes red, including the client conversation nobody else wants to have., • Capacity planning against a forecast. Staff ahead of demand without carrying bench you cannot defend., • Rate integrity, discount discipline, pyramid mix, and subcontractor spend., • The investment case for anything that needs funding before it produces revenue. People • Career paths for every practitioner in the practice, and the promotion decisions that make them real., • The skills transition from cloud modernization and application delivery to agentic delivery, at the pace clients are moving., • Retention of the people this practice cannot afford to lose., • Recruitment and development of the Google leaders everyone else is chasing., • Managing resource utilization for service and delivery teams for the Google practice Market position • The definition of an AI-first Google practice, and the agenda the rest of the market follows., • Perficient's senior relationship to Google across field leadership, the partner organization, and product., • Executive relationships. Build and sustain C-suite relationships across our largest Google clients, designed to outlast any single engagement., • C-suite counsel on Google Cloud modernization, platform consolidation, migration, and total cost of ownership, delivered with enough candor to earn the next conversation., • The practice point of view. Publish it, present it at Google Cloud Next, brief the analysts who define the category., • Seven or more years at the vice president, general manager, or practice lead level, with direct accountability for a revenue or bookings target., • Ten or more years in the Google ecosystem at a systems integrator, an agency, Google, or a large enterprise Google Cloud customer., • A record of carrying an annual target and hitting it, with ownership of utilization and delivery margin across a services business., • A services offering built from zero to material revenue, including the go-to-market motion behind it., • Generative or agentic AI running in production for enterprise clients, with results you can substantiate to a client CFO., • Active senior relationships inside Google field leadership or the partner organization, and a record of converting them into pipeline., • Delivery leadership across multiple geographies and time zones., • C-suite advisory experience on cloud modernization, platform consolidation, migration, or total cost of ownership., • Bachelor's degree or equivalent professional experience., • Willingness to travel up to 50% for client engagements, Google meetings, business development, and team leadership. Preferred Qualifications • Time inside Google itself, with a working read on how field leadership and the partner organization allocate attention., • Hands-on command of the Google Cloud and agentic stack, including Gemini, Apigee, and BigQuery., • Google delivery inside a regulated industry, where legal and compliance review shapes the architecture., • An established market voice, whether a published point of view, a Google Cloud Next stage, or standing analyst relationships at Forrester and Gartner., • Google sold alongside Salesforce, data, or commerce capability on the same account., • A record of recruiting senior talent into a practice that was still being built. The salary range for this position takes into consideration a variety of factors, including but not limited to skill sets, level of experience, applicable office location, training, licensure and certifications, and other business and organizational needs. The new hire salary range displays the minimum and maximum salary targets for this position across all US locations, and the range has not been adjusted for any specific state differentials. It is not typical for a candidate to be hired at or near the top of the range for their role, and compensation decisions are dependent on the unique facts and circumstances regarding each candidate. A reasonable estimate of the current salary range for this position is $200,000 to $275,000. Please note that the salary range posted reflects the base salary only and does not include benefits or any potential variable compensation programs. Information regarding the benefits available for this position are in our Benefits Overview Perficient is a leading global digital consultancy. We imagine, we create, engineer, and run digital transformation solutions that help our clients exceed customers' expectations, outpace competition, and grow their business. With unparalleled strategy, creative, and technology capabilities, our colleagues bring big thinking and innovative ideas, along with a practical approach to help our clients - the world's largest enterprises and biggest brands succeed At Perficient, we promise to challenge, champion, and celebrate our people. You will experience a unique and collaborative culture that values every voice. Join our team, and you'll become part of something truly special. We believe in developing a workforce that is as diverse and inclusive as the clients we work with. We're committed to actively listening, learning, and acting to further advance our organization, our communities, and our future leadersand we're not done yet. Perficient, Inc. proudly provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. Perficient, Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Perficient, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or covered veterans. Improper interference with the ability of Perficient, Inc. employees to perform their expected job duties is absolutely not tolerated. Applications will be accepted until the position is filled or the posting is removed