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OBJECTIVE: This consultant will provide end-to-end delivery of reporting and analytics solutions in the Epic Cogito Clarity Custody Health space, especially on Ambulatory, Inpatient, Regulatory / State required fillings, Quality and related metrics. The role requires consultant-level communication skills, the ability to coalesce related requests and offer solutions that satisfy multiple requirements, and Software Development Life Cycle discipline: gathering & documenting and confirming requirements gathering, designing solution, obtaining Subject Matter Experts (SMEs) signoff, coding, testing/validation, UAT, & documentation. TYPICAL DELIVERABLES: Develop and deploy Custody-focused reports and dashboards Validate, modify, and document Radar automatic & custom SQL metrics Write stored procedures for clinical reporting requests for use in Cogito SQL templates Create Radar components from Cogito-SQL reports and metric-framework Update Code and Dashboard metrics based on new regulatory and operational requests Lead projects Facilitate meetings with Custody operations and leadership to gather requirements for new requests and enhancements Estimate time needed to complete project Communicate to stakeholders inside and outside of analytics, providing updates and setting expectations Direct regulatory agency monitors to reporting outputs and provide guidance on how to use them REQUIRED SKILLS & ABILITIES: Minimum 3 years of Epic Clarity Data Model (EpicCare Ambulatory, Inpatient (IP)) analytics development. 5+ years of SQL query and stored procedure development experience. Working knowledge of Epic tools such as Slicer Dicer, Cogito SQL, Radar Strong ability to work directly with TSS managers and operational clinical leaders, project office, clinic staff and other stakeholders Strong ability to work collaboratively with Epic, and County Epic application builders to capture official workflow documentation efficiently and accurately Strong communication skills to document and communicate with analytics and other TSS management on status, risks and issues Ability to transition work, train, and provide mentorship to junior developers on best practices, perform SQL code reviews, and peer reviews of deliverables. Ability to follow Enterprise Software Development Life Cycle standards for Unit Test, Peer Test/Review, SME Validation and production migration and publishing. Strong experience creating Stored Procedures with Clarity data in a clinical setting Consultant level ability to adapt to changing workflows, and communicate to leadership changes in data based on workflow adherence Epic Radar Dashboards created from Cogito SQL, Reporting Workbench, SlicerDicer or Metric Framework Epic Inpatient experience: Admissions, Flowsheets, Discharge Medication Reconciliation, Quality metrics Epic Ambulatory experience: Visits, Consults, Orders, Groupers Experience creating Business Intelligence outputs in a Custody/Jail setting ADDITIONAL QUALIFICATIONS Certification in Epic Clarity Data Model/Clinical or Financial (or legacy equivalents) Benefits at IntelliBee Long-Term Stability: Join us on a multi-year opportunities with room to grow. Comprehensive Health Coverage: Access quality healthcare benefits to keep you and your family well. Future Planning: Enroll in our 401(k) program and invest in your financial security. GC Assistance: We support immediate Green Card processing, if required.

Oracle to PostgreSQL Migration Architect Location: Sunnyvale, CA (Onsite) Salary: Market (DOE) FTE - open for contract Job Description We need to have profiles with excellent software engineering skill. Someone who can understand the customization done on the existing system using Java and Go Lang and do the same in the new system. We can't consider anyone who is not excellent in 1) Data Structure & Algorithms, 2) System Design and 3) Cloud computing especially Kube. An Oracle to PostgreSQL Migration Architect leads the technical strategy, assessment, schema conversion, and data migration from Oracle to PostgreSQL (often AWS RDS/Aurora or Azure). They specialize in mapping Oracle PL/SQL to PL/pgSQL, optimizing performance, designing cloud-native database architectures, and reducing downtime. Key Responsibilities Assessment & Strategy: Evaluate existing Oracle database environments to plan the migration roadmap, including TCO analysis and application dependency mapping. Migration Design: Design scalable, secure PostgreSQL schema architectures, converting Oracle PL/SQL stored procedures, triggers, views, and packages to PL/pgSQL. Technical Execution: Perform data migrations using tools like AWS SCT/DMS, Ora2Pg, or pgloader, ensuring data integrity. Performance Optimization: Tune PostgreSQL performance, including indexing, query optimization, and handling differences in storage engines. Troubleshooting & Support: Resolve complex data type mismatches, handle replication issues, and provide troubleshooting during and after migration. Required Technical Skills Oracle Expertise: Proficient in Oracle Database Administration, PL/SQL, and SQL performance tuning. PostgreSQL Proficiency: Strong knowledge of PostgreSQL internals, PL/pgSQL, and configuration. Migration Tools: Experience with migration tools such as AWS Schema Conversion Tool (SCT), AWS Database Migration Service (DMS), or Ora2Pg. Cloud Platforms: Knowledge of AWS (RDS/Aurora) or Azure. Scripting: Proficiency in Python, Bash, or Perl for automation. Required Experience & Education 10+ years of hands-on experience in Oracle Database Administration, with 3+ years specifically in Oracle-to-PostgreSQL migration. Key Skills for Success Understanding of microservices architecture. Database security best practices. Excellent communication and stakeholder management skills.

Competitive pay, benefits, and weekly pay! This Jobot Consulting Job is hosted by: Alex Luhrsen Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $95,000 - $200,000 per year A bit about us: We are a cutting‑edge technology organization building purpose‑designed systems that dramatically accelerate AI and machine learning workloads. Our teams operate at the intersection of advanced hardware, software, and system design to deliver breakthroughs in performance and efficiency. Job Title: Manufacturing Test Development Engineer Compensation: $90K – $200K/year (based on experience) Location: Sunnyvale, CA Schedule: 1st Shift Type: Long-term contract with potential for full-time conversion Why join us? Competitive medical, dental, vision, and life insurance plans 401(k) access Inclusive, flexible work environment Daily catered meals, healthy snacks, and family-friendly events Job Details We are seeking an experienced Manufacturing Test Development Engineer to design, develop, and deploy manufacturing test solutions for complex, high‑performance hardware systems, from PCB and PCBA through full system‑level test. This role is heavily hands‑on and requires deep experience in hardware validation and PCBA manufacturing environments. Key Responsibilities: Own the design and development of manufacturing test strategies for PCB, PCBA, and system‑level hardware. Develop and support automated manufacturing test solutions used in factory and contract manufacturing environments. Debug and root‑cause hardware, board‑level, and system‑level failures during manufacturing and bring‑up. Work closely with hardware design, validation, manufacturing, and quality teams to ensure test coverage, yield improvement, and manufacturability. Support PCBA manufacturing test, including boundary scan, functional test, and system integration testing. Partner with contract manufacturers on test deployment, sustainment, and issue resolution. Develop test software, GUIs, and supporting infrastructure for manufacturing data collection and traceability. Required Qualifications: Bachelor’s degree in Engineering, Computer Science, or a related technical field. 5+ years of experience in manufacturing test development for hardware products. Proven, hands‑on experience with: - PCB and PCBA manufacturing test - Hardware validation and bring‑up - Test design and test development in manufacturing environments Demonstrated experience supporting PCBA manufacturing lines or contract manufacturers. Strong understanding of manufacturing test automation, including: - Automated functional test - Factory test infrastructure - Test data collection and analysis Experience developing test software using: - Python and/or C/C++ - Linux‑based environments Familiar with test‑related tooling and infrastructure such as: - GUI‑based test tools - Databases (MySQL / SQL) - Cloud‑based systems (e.g., AWS) for test data and automation If this sounds like a good match, please apply online or send your resume directly to Jennifer at https://jobot.com/apply/manufacturing-test-development-engineer/537475287?utm_source=Monster Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Build and scale end-to-end manufacturing test systems for next-gen AI hardware powering high-performance generative workloads. This Jobot Job is hosted by: Madeline Lazarus Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $100,000 - $175,000 per year A bit about us: Our client is a cutting-edge AI systems company developing high-performance, low-power generative AI inference platforms through custom silicon, hardware, and software innovation. Operating as a well-funded startup with global presence, they are focused on enabling scalable, efficient AI infrastructure for hyperscale and emerging data center environments. Why join us? Strong financial backing with aggressive growth trajectory Direct impact on next-generation AI infrastructure Deep exposure to ASIC, hardware, and software integration Tight collaboration with leadership and engineering teams Opportunity to build systems from scratch with long-term ownership Job Details This role owns the development and deployment of manufacturing test solutions for complex AI hardware systems, spanning board-level through full system validation. You will drive test strategy, automation, and production readiness from early NPI through high-volume manufacturing. Location: Sunnyvale, CA | Onsite | Limited travel to contract manufacturers Manufacturing Test Engineering Scope · Develop end-to-end manufacturing test strategy (ICT, FCT, burn-in, system test) · Own test solutions from NPI through high-volume production · Build automation frameworks to improve throughput and reduce manual intervention · Support PCB and PCBA test execution, including boundary scan and system integration · Collaborate with hardware, validation, and manufacturing teams on test coverage and yield Technical Execution & Requirements · 10+ years in hardware manufacturing test development · Strong PCB/PCBA test process and bring-up experience · Hands-on debugging and root cause analysis at board and system level · Experience supporting contract manufacturers and factory environments · Proficiency in Python and/or C/C++ within Linux environments · Background in test automation, data collection, and infrastructure · Familiarity with test tooling, GUIs, SQL databases, and cloud systems (e.g., AWS) Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Turn a Tech Layoff or a Career Gap Into a Reset for a Better Career Laid Off in Tech? Rebuild Momentum With a Placement Process Returning to Tech After a Break? Worried About a Gap? A layoff or a Career Gap can shake your confidence—even if you did nothing wrong. Downsizing, reorganizations, and budget cuts are business decisions, not personal failures. The tech industry still needs skilled developers — you just need the right platform to re-enter. A career gap doesn't disqualify you — outdated skills do. But the job market can still feel brutal: you apply daily, watch automated rejections roll in, and wonder why your experience isn't translating into interviews. The truth is that hiring has shifted. Employers want candidates who match current stacks, show recent hands-on proof, and interview strongly. If you've been out for 3–6+ months, that gap can become an extra filter—unless you deliberately rebuild momentum. We're actively engaging candidates for full-time opportunities aligned to client needs: software programming, Java full stack development, Java/Python roles, DevOps engineering, and data roles spanning analytics, engineering, science, and ML/AI. Our primary focus remains Java/Full Stack/DevOps and Data/Engineering/Analytics/ML. SynergisticIT since 2010 has helped candidates land full-time roles at major organizations (examples often listed include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Client, Client, Wayfair, and others), with offers in the $95k–$154k range depending on role and stack. Why laid-off candidates often struggle (even with experience) After a layoff, two things happen: Your skills may be solid, but your keywords and tools may be slightly behind the market. Your interview performance may drop because stress makes you second-guess. Also, employers increasingly expect hybrid capability: not just "I coded,” but "I can build + deploy + collaborate + document + explain.” That's especially true for Java full stack, DevOps, data engineering, and ML/AI. What roles are commonly in demand right now Laid-off candidates often do best targeting roles that map to consistent enterprise demand. The main lanes include: Entry-level to mid-level software engineering roles (especially backend/full stack) Java full stack roles (enterprise stability) Java/Python developer roles (flexibility across teams) DevOps/Cloud roles (automation, pipelines, reliability) Data roles (analytics → engineering → ML/AI) why placement support matters rebuild a job-ready portfolio fast adjust your resume and LinkedIn for ATS practice interviews under real conditions get scheduled interviews through structured outreach A layoff recovery plan that actually works A smart recovery plan is not "apply more.” It's: Re-stack: align skills to today's demand (Java/full stack/devops or data/ML). Rebuild proof: projects that look like work, not homework. Rehearse interviews: DSA, system design, SQL, behavioral storytelling. Re-enter pipelines: structured outreach that leads to scheduled interviews. If you follow that with consistent coaching and iteration, your layoff becomes a pivot point—not a pause. If you're ready to stop refreshing job boards and start rebuilding momentum with support, begin here: If you want to explore here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Client JOPP: Job Placement Program Contact form:https://www.synergisticit.com/contact-us/ Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? Layoff reality: It can happen to anyone. Career recovery is a strategy problem, not a worth problem. In tech, it's not only what you know—it's how you position it and who guides you that determines how quickly you return stronger. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Laid Off in Tech? Rebuild Momentum With a Placement Process or Returning to Tech After a Break? Worried About a Gap? A layoff or a Career Gap can shake your confidence—even if you did nothing wrong. Downsizing, reorganizations, and budget cuts are business decisions, not personal failures. The tech industry still needs skilled developers — you just need the right platform to re-enter. A career gap doesn’t disqualify you — outdated skills do. But the job market can still feel brutal: you apply daily, watch automated rejections roll in, and wonder why your experience isn’t translating into interviews. The truth is that hiring has shifted. Employers want candidates who match current stacks, show recent hands-on proof, and interview strongly. If you’ve been out for 3–6+ months, that gap can become an extra filter—unless you deliberately rebuild momentum. We’re actively engaging candidates for full-time opportunities aligned to client needs: software programming, Java full stack development, Java/Python roles, DevOps engineering, and data roles spanning analytics, engineering, science, and ML/AI. Our primary focus remains Java/Full Stack/DevOps and Data/Engineering/Analytics/ML. SynergisticIT since 2010 has helped candidates land full-time roles at major organizations (examples often listed include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, JPMC, Citi, Bank of America, Wayfair, and others), with offers in the $95k–$154k range depending on role and stack. Why laid-off candidates often struggle (even with experience) After a layoff, two things happen: Your skills may be solid, but your keywords and tools may be slightly behind the market. Your interview performance may drop because stress makes you second-guess. Also, employers increasingly expect hybrid capability: not just “I coded,” but “I can build + deploy + collaborate + document + explain.” That’s especially true for Java full stack, DevOps, data engineering, and ML/AI. What roles are commonly in demand right now Laid-off candidates often do best targeting roles that map to consistent enterprise demand. The main lanes include: Entry-level to mid-level software engineering roles (especially backend/full stack) Java full stack roles (enterprise stability) Java/Python developer roles (flexibility across teams) DevOps/Cloud roles (automation, pipelines, reliability) Data roles (analytics → engineering → ML/AI) why placement support matters rebuild a job-ready portfolio fast adjust your resume and LinkedIn for ATS practice interviews under real conditions get scheduled interviews through structured outreach A layoff recovery plan that actually works A smart recovery plan is not “apply more.” It’s: Re-stack: align skills to today’s demand (Java/full stack/devops or data/ML). Rebuild proof: projects that look like work, not homework. Rehearse interviews: DSA, system design, SQL, behavioral storytelling. Re-enter pipelines: structured outreach that leads to scheduled interviews. If you follow that with consistent coaching and iteration, your layoff becomes a pivot point—not a pause. If you’re ready to stop refreshing job boards and start rebuilding momentum with support, begin here: If you want to explore here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact form:https://www.synergisticit.com/contact-us/ Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? Layoff reality: It can happen to anyone. Career recovery is a strategy problem, not a worth problem. In tech, it’s not only what you know—it’s how you position it and who guides you that determines how quickly you return stronger. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.

One of our clients, medical imaging services company is looking for an talented Staff Scientist with ultrasound experience The Location is San Jose, CA. This is on-site role. Permanent position with great benefits. Base 170 - 190K DOE. Staff Scientist (Imaging) to help advance ultrasound imaging performance and image quality across our premium medical imaging systems. In this role, you will focus on optimizing imaging control parameters and transducer performance to support high-quality clinical imaging. You will collaborate with experienced imaging scientists, engineers, and clinical sonographers to refine imaging performance and explore new approaches that push the boundaries of ultrasound technology. ROLE: Optimize Imaging Parameters and Transducer Performance Lead probe-specific optimization of imaging parameters to improve ultrasound image quality across multiple imaging modes (e.g., B-mode, color Doppler). Apply expertise in acoustics or related fields such as optics, radar, or signal processing to optimize ultrasound transducer performance for clinical imaging applications. Configure and refine imaging parameters through SQL databases using insights derived from theoretical modeling, MATLAB simulations, and experimental testing. Conduct measurements using imaging phantoms and human subjects in controlled research and clinical environments. Collaborate with Clinical and Engineering Teams Partner with imaging scientists, engineers, and in-house clinical sonographers to guide system optimization and ensure performance aligns with real-world clinical needs. Support refinement of existing transducers based on clinical and market feedback. Contribute to the development of new transducer designs and imaging capabilities. Identify unexpected imaging behaviors or system issues and collaborate with technical experts to determine effective solutions. Advance Ultrasound Imaging Technology Explore new approaches to advance medical ultrasound imaging through independent research and experimentation. Develop signal processing algorithms, simulation tools, and software routines. Work with technologies such as MATLAB, C, DSP, GPU computing, and related signal-processing tools. Produce technical documentation supporting imaging research and development. REQUIREMENTS: PhD in signal processing-based engineering, applied physics, electrical engineering, or a related discipline (MS with exceptional relevant experience may also be considered) Strong experimental and analytical skills Experience with MATLAB or similar signal processing toolboxes Ability to work independently while managing multiple priorities Comfortable collaborating within small technical teams Strong written, verbal, and organizational communication skills Use this link to apply directly: https://brainsworkgroup.catsone.com/careers/index.php?m=portal&a=details&jobOrderID=16792198 Or email: igork@brainsworkgroup.com Check ALL our Jobs: http://brainsworkgroup.catsone.com/careers Keywords:scientist imaging ultrasound metlab dsp gpu signal sonograph image

Join the fastest growing data companies going! Awesome opportunity for growth. This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: We’re a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live—helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems. Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run. Why join us? If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You’ll work with modern data stacks, cloud-native architectures, and high-scale environments—while partnering closely with engineering, platform, and business stakeholders. You’ll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful—perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies. Job Details You’ll be part of a customer-facing managed services team supporting cloud-native data platforms at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering. What You’ll Do Platform Operations & Optimization: Maintain, monitor, and enhance customer data platforms across cloud environments. Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems. Apply strong FinOps, data ops, and IT operations skills to keep platforms stable, predictable, and efficient. Build, improve, and support CI/CD pipelines for data and platform deployments. Leverage IaC (Terraform/CloudFormation) to automate provisioning and environment consistency. Implement monitoring, alerting, runbooks, and incident management best practices. Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems. Customer Partnership Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution. Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. Deep understanding of DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, Git-based pipelines). Strong SQL experience, including debugging and optimizing queries. Background in monitoring, incident management, capacity planning, and environment stability. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Join one of the fasted growing AI/ML services companies! This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $140,000 - $190,000 per year A bit about us: We are a data and AI services company that has been growing tremendously over the last 10 years. We anticipate growing 40% yoy over the next 5 years and are looking to bring on solutions architects who have worked with enterprise customers to build out applications and utilize data in a more efficient way. Why join us? Join us for the growth and opportunity to join a best-in-class organization. As we grow there will be opportunities to work with the biggest commercial companies to support their adoption and growth into AI/ ML applications. Job Details This job is 100% remote but will require travel to customer sites throughout the US. We are looking for someone who has the following: At least 5 years as a customer-facing solutions architect. Hands-on keyboard producing code and managing teams. Experience with enterprise customers and supporting product adoption and services expansion. Must be able to write Python or Scala. With your experience, we expect mastery over SQL and the ability to troubleshoot distributed databases. Experience working with a wide variety of data sources, including MySQL, Kafka, and business app's like SAP and ORCL. Finally, must have experience with Snowflake, Redshift, or EMR. If this aligns with the work you've done in the past, please apply, or email Adam Bennett @ https://jobot.com/apply/ml-solutions-architect/155579760?utm_source=Monster - and put "Solutions Arch" in the subject line. Thank you! Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Onsite in Milpitas, CA | Profitable, Series C FinTech Startup - AWS, Terraform, Docker, Kubernetes, Active Directory This Jobot Job is hosted by: Caitlyn Hardy Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $155,000 - $165,000 per year A bit about us: We’re a mission-driven fintech company building technology that helps millions of workers access the money they’ve already earned - when they need it most. Our platform integrates with employers and payroll systems to provide real-time wage access and financial wellness tools that reduce reliance on payday loans, overdraft fees, and other costly alternatives. Founded in Silicon Valley, our team is focused on using modern payment infrastructure and scalable cloud platforms to solve real financial challenges for everyday workers. We are seeking a Senior AWS DevOps & Cloud Security Engineer to own and drive the security, production infrastructure, and DevOps automation across our AWS environment. This is a critical role where you will be directly responsible for: Designing and securing cloud infrastructure. Managing production-grade systems at scale. Leading DevOps practices across CI/CD, monitoring, and infrastructure automation. This position is onsite in Milpitas, CA. Why join us? Company sponsored Health, Dental, and Vision insurance Health, Dental and Vision Reimbursement account 401K, traditional, and Roth with a company match Tuition Assistance or Tuition Reimbursement Unlimited Paid Time off Monthly Gym Reimbursement Paid time off to volunteer Paid Family Leave Complimentary office lunches Opportunity to work with a great team committed to making a difference. + More! Job Details Responsibilities: Own and maintain the security posture across AWS accounts, environments, and production workloads. Design and operate scalable, highly available, and secure AWS infrastructure. Manage Active Directory integration with AWS IAM, supporting access for EC2, EKS, and applications. Lead DevOps initiatives including CI/CD pipelines, Infrastructure as Code (IaC), version control, and automated deployments. Administer and secure Windows Server and IIS workloads hosted in AWS. Deploy and manage containerized applications using Docker and EKS. Establish and enforce cloud governance and compliance standards (CIS, NIST, HIPAA). Implement monitoring and observability solutions including logging, metrics, alerting, and dashboards. Build automation tools and scripts to streamline operations and improve reliability. Participate in on-call rotations, incident response, and root cause analysis. Optimize cloud environments for performance, availability, and cost efficiency. Required Skills & Qualifications 7+ years of experience in DevOps, Infrastructure, or Cloud Engineering roles. Strong AWS expertise across EC2, VPC, IAM, RDS, S3, Systems Manager, KMS, GuardDuty, CloudWatch, Config, CloudTrail, etc. Proven experience in cloud security, including IAM governance, least privilege policies, and secrets management. In-depth experience with Active Directory, including IAM-AD integration and federated authentication. Production experience with Docker (4+ years) and Amazon EKS/Kubernetes. Strong scripting skills: PowerShell (primary), Bash, or Python. CI/CD pipeline experience using Azure DevOps (VSTS/TFS), GitHub Actions, or Jenkins. Experience with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Pulumi. Hands-on experience with Windows Server IIS, .NET/C# applications, and SQL Server. Proficiency in monitoring and APM tools such as Datadog, Dynatrace, AppDynamics, Site24x7. Solid understanding of networking: DNS, Load Balancing, SSL/TLS, VPC, routing, firewalls. Preferred Qualifications AWS Certifications: DevOps Engineer – Professional, Security – Specialty, or Solutions Architect – Professional. Experience with secrets management tools: AWS Secrets Manager, SSM Parameter Store, or HashiCorp Vault. Familiarity with Zero Trust, SSO, SAML, and OIDC-based authentication models. Knowledge of cost optimization strategies using AWS Cost Explorer, Trusted Advisor, and Savings Plans. Experience working in regulated industries (e.g., healthcare, finance, or government). Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. 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Position: Data Engineer II Location: Sunnyvale, California Duration: Contract Job ID: 175305 Job Overview: We are seeking a skilled and detail-oriented Data Engineer II to join our team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and systems to support our organization's data needs. This role requires a strong understanding of data engineering principles, tools, and best practices. Responsibilities: Design, develop, and maintain scalable data pipelines and systems. Collaborate with cross-functional teams to understand data requirements and deliver solutions. Optimize and improve existing data workflows for performance and reliability. Ensure data quality, integrity, and security across all systems. Monitor and troubleshoot data pipelines to resolve issues promptly. Document processes, workflows, and system designs for future reference. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience in data engineering or a similar role. Proficiency in programming languages such as Python, Java, or Scala. Experience with data processing frameworks like Apache Spark or Hadoop. Strong knowledge of SQL and database systems. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Excellent problem-solving and communication skills. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range:$55hr - $60hr on w2 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 214-740-2424. To report any concerns, please email us at legal@pinnacle1.com #LI-RD1

Partner Account Executive / Channel Account Executive - North America Hybrid (4 days onsite, 1 day remote) – Brisbane, CA To get the best candidate experience, please consider applying for a maximum of 3 applications within 12 months to ensure you are not duplicating efforts. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or assume sponsorship responsibilities for employment visas at this time. About Odoo Odoo is an open-source enterprise resource planning (ERP) platform that helps companies manage and streamline their operations through a single, integrated system. Our modular suite of business applications—covering everything from accounting and inventory to CRM and project management—works together seamlessly to support efficiency and growth. Learn more about us here. About the Job: Odoo is hiring Account Executives to join our North America Partnerships team. In this role, you'll pursue warm leads and recruit new organizations to join Odoo’s partner network across the region. You'll introduce partners to Odoo’s suite of business applications, which they can offer alongside their existing services to create new revenue streams. You'll also manage partner relationships within a defined territory and guide them through onboarding and the sales cycle. We provide full training on the Odoo ecosystem so you can successfully close deals and support tailored implementations. We’re looking for proactive, results-driven individuals with a strong “get-it-done” mindset. Responsibilities: • Conduct company partnership recruitment for the Odoo ERP (enterprise resource planning) Software. Using the following methods:, • Research-based on data analytics, score tracking using CRM (customer relationship management), and evaluating candidates using the BANT strategy (budget authority needs timeline)., • Develop strategies to increase revenue using the Odoo scoring lead system to project the increase in business revenue, identify potential up-sells and cross-selling, and help adapt Odoo ERP software for future clients using Python and SQL (programming languages)., • Analyze strategic changes and report key metrics by extracting data from Odoo software, analyzing trends, and creating dashboards using Odoo software to report to the manager., • Meet or exceed monthly assigned Account Executive sales quotas by accurately forecasting, effectively managing a pipeline of opportunities, and advancing deals to closure per projected timelines, • Work in a consultative fashion to design tailored implementation packages and negotiate its content with future partners Requirements: • Bachelor's degree (business-oriented major preferred) or an equivalent combination of education and experience, • Strong software and new technologies awareness, • 1+ years experience in B2B sales, • Excellent communication skills, • Curiosity to learn how businesses operate Nice To Have: • Balances a serious approach to work with camaraderie, fostering a playful and friendly atmosphere among colleagues, • Experience with accounting, manufacturing, inventory, CRM, POS, and/or E-commerce software, • SaaS or PaaS pre/post-sales experience, • Intrinsic motivation and curiosity to learn more about business owners and their businesses Compensation and Perks: • Healthcare, Dental, Vision, Life Insurance, Flexible Spending Account, Health Savings Account, 401K Matching, and Commuter Benefits, • PTO (Paid-time-off), paid sick days, and paid holidays, • Employee Assistance Program: 3 X 1-hour telehealth calls with certified mental health professionals, • $100 towards a work-from-home office setup, • Evolve in a nice working atmosphere with a passionate, growing team!, • Chef-prepared lunches - snacks, fruit, and coffee/drinks on tap!, • Company-sponsored events for groups of 6+ employees The estimated salary range for this role is $70,000-$90,000 OTE (on-target earnings), which includes a base salary range of $50,000-$70,000. Actual salaries may vary based on factors such as education, training, experience, professional achievements, business needs, and location. Ensuring a diverse and inclusive workplace where we learn from each other is core to Odoo's values. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal-opportunity employer and a pleasant and supportive place to work. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment-qualified applicants with arrest and conviction records.

Channel Account Executive - North America Hybrid (4 days onsite, 1 day remote) – Brisbane, CA To get the best candidate experience, please consider applying for a maximum of 3 applications within 12 months to ensure you are not duplicating efforts. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or assume sponsorship responsibilities for employment visas at this time. About Odoo Odoo is an open-source enterprise resource planning (ERP) platform that helps companies manage and streamline their operations through a single, integrated system. Our modular suite of business applications—covering everything from accounting and inventory to CRM and project management—works together seamlessly to support efficiency and growth. Learn more about us here. About the Job: Odoo is hiring Account Executives to join our North America Partnerships team. In this role, you'll pursue warm leads and recruit new organizations to join Odoo’s partner network across the region. You'll introduce partners to Odoo’s suite of business applications, which they can offer alongside their existing services to create new revenue streams. You'll also manage partner relationships within a defined territory and guide them through onboarding and the sales cycle. We provide full training on the Odoo ecosystem so you can successfully close deals and support tailored implementations. We’re looking for proactive, results-driven individuals with a strong “get-it-done” mindset. Responsibilities: • Conduct company partnership recruitment for the Odoo ERP (enterprise resource planning) Software. Using the following methods:, • Research-based on data analytics, score tracking using CRM (customer relationship management), and evaluating candidates using the BANT strategy (budget authority needs timeline)., • Develop strategies to increase revenue using the Odoo scoring lead system to project the increase in business revenue, identify potential up-sells and cross-selling, and help adapt Odoo ERP software for future clients using Python and SQL (programming languages)., • Analyze strategic changes and report key metrics by extracting data from Odoo software, analyzing trends, and creating dashboards using Odoo software to report to the manager., • Meet or exceed monthly assigned Account Executive sales quotas by accurately forecasting, effectively managing a pipeline of opportunities, and advancing deals to closure per projected timelines, • Work in a consultative fashion to design tailored implementation packages and negotiate its content with future partners Requirements: • Bachelor's degree (business-oriented major preferred) or an equivalent combination of education and experience, • Strong software and new technologies awareness, • 1+ years experience in B2B sales, • Excellent communication skills, • Curiosity to learn how businesses operate Nice To Have: • Balances a serious approach to work with camaraderie, fostering a playful and friendly atmosphere among colleagues, • Experience with accounting, manufacturing, inventory, CRM, POS, and/or E-commerce software, • SaaS or PaaS pre/post-sales experience, • Intrinsic motivation and curiosity to learn more about business owners and their businesses Compensation and Perks: • Healthcare, Dental, Vision, Life Insurance, Flexible Spending Account, Health Savings Account, 401K Matching, and Commuter Benefits, • PTO (Paid-time-off), paid sick days, and paid holidays, • Employee Assistance Program: 3 X 1-hour telehealth calls with certified mental health professionals, • $100 towards a work-from-home office setup, • Evolve in a nice working atmosphere with a passionate, growing team!, • Chef-prepared lunches - snacks, fruit, and coffee/drinks on tap!, • Company-sponsored events for groups of 6+ employees The estimated salary range for this role is $70,000-$90,000 OTE (on-target earnings), which includes a base salary range of $50,000-$70,000. Actual salaries may vary based on factors such as education, training, experience, professional achievements, business needs, and location. Ensuring a diverse and inclusive workplace where we learn from each other is core to Odoo's values. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal-opportunity employer and a pleasant and supportive place to work. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment-qualified applicants with arrest and conviction records.

Data Engineer Location: San Francisco, CA or New York, NY Work Model: Onsite Compensation: $150,000 – $175,000 base + bonus About the Company This organization is a technology-focused investment platform that partners with high-growth and enterprise software businesses to drive long-term value creation. Data, analytics, and technical diligence play a meaningful role in how the firm evaluates opportunities and supports portfolio performance. The team is investing heavily in modern data capabilities to improve how decisions are made — combining engineering, analytics, and AI to build scalable internal systems that support analytical workflows and operational insights. The culture is highly collaborative, intellectually curious, and execution-focused. Teams work closely across technical and business functions, valuing ownership, problem-solving, and thoughtful engineering. About the Role This is a rare opportunity for an early-career Data Engineer to work at the intersection of data engineering, analytics, and applied AI in a highly analytical environment. You’ll help build the data foundation powering internal AI systems, portfolio analytics, and strategic decision-making tools. This role offers meaningful ownership from day one — combining hands-on engineering with analytical problem-solving across structured data, APIs, cloud infrastructure, and emerging AI workflows. You will work closely with both technical and commercial stakeholders, helping shape how data is collected, transformed, and operationalized to drive smarter decisions. Key Responsibilities • Build and maintain production-grade data pipelines across internal systems, external data sources, APIs, and unstructured datasets, • Design and optimize ETL/ELT workflows that power analytics and AI-enabled applications, • Improve data quality, consistency, and reliability across business-critical datasets, • Partner on data infrastructure, integrations, and architecture decisions to improve scalability and performance, • Develop analytics workflows, dashboards, and reporting solutions that surface actionable insights, • Support engineering improvements to internal analytical systems through automation and monitoring, • Build and maintain API integrations and external data connections, • Document data lineage, schemas, and technical architecture to improve transparency and maintainability, • Provide quantitative and technical support on high-priority analytical initiatives Must Haves • 2–4 years of experience in data engineering, analytics engineering, or a similar technical role, • Strong proficiency in SQL and Python for data transformation, analysis, and automation, • Experience building and maintaining production data pipelines, • Hands-on experience with Snowflake or similar cloud data warehouse technologies, • Familiarity with modern data tooling such as dbt, Airflow, or equivalent orchestration/transformation frameworks, • Experience working with cloud infrastructure environments (AWS preferred), • Strong understanding of ETL/ELT patterns, APIs, and scalable data workflows, • High attention to data quality, reliability, and operational excellence, • Strong communication skills and ability to work across technical and non-technical teams, • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related quantitative discipline Nice to Have • Experience supporting AI/ML systems or datasets used in model development, • Familiarity with embeddings, retrieval pipelines, or vector-based systems, • Exposure to AI-native development workflows and engineering productivity tools, • Experience building dashboards, monitoring systems, or analytical applications, • Prior experience in financial services or highly analytical business environments Why Join • Work on high-impact data and AI initiatives that directly influence strategic decisions, • Strong ownership from day one in a technically challenging environment, • Exposure to a unique mix of engineering, analytics, and applied AI, • Collaborate with highly analytical stakeholders on meaningful business problems, • Clear opportunity for growth, mentorship, and expanded technical responsibility

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role As a Full Stack Engineer focusing on Cerebras’ manufacturing test platform, you will design, build, and maintain a comprehensive test software solution for all stages of manufacturing – from individual components to complete Cerebras systems. You will collaborate cross-functionally with hardware design, engineering, operations, and data analytics teams to develop user interfaces and data processing frameworks that directly impact manufacturing efficiency, quality, and scalability. Responsibilities • Collaborate with hardware engineers and test developers to create frameworks that facilitate the development, validation, and deployment of manufacturing tests., • Create an intuitive, functional, and flexible user interface for executing a wide variety of manufacturing tests., • Create a distributed data storage framework to sync test data across multiple manufacturing facilities., • Collaborate with data engineers and data scientists to create interactive reports for visualizing test results., • Support cross-functional initiatives across manufacturing, operations, and reliability teams to improve manufacturing efficiency, quality, and scalability throughout the entire product lifecycle. Skills and Qualifications Required • Bachelor’s degree in computer science, computer engineering, or related field., • 3+ years of professional experience in full-stack software development., • Strong proficiency in at least one advanced programming language (e.g. Python, C++)., • Experience with SQL databases (e.g. PostgreSQL, MySQL) and/or NoSQL databases (e.g. MongoDB, Redis)., • Experience with front-end technologies and frameworks (e.g. HTML, JavaScript). Preferred • Experience with hardware manufacturing and/or related disciplines such as manufacturing test automation, manufacturing software, or manufacturing quality control., • Experience with application development in Windows and/or Linux., • Experience with cloud platforms (e.g. AWS, GCP)., • Experience with data engineering, data analytics, and/or business intelligence., • Experience with UI/UX., • Experience with networking and cybersecurity. The base salary range for this position is $175,000 to $220,000 annually. Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: • Build a breakthrough AI platform beyond the constraints of the GPU., • Publish and open source their cutting-edge AI research., • Work on one of the fastest AI supercomputers in the world., • Enjoy job stability with startup vitality., • Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2026. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As a Test Development Engineer on our manufacturing team you will be working with diagnostics, system design, manufacturing, and quality teams to develop test automation solutions for our products from PCBA to system level. You will also work closely with our contract manufacturing sites to fulfill a complete test automation solution for manufacturing test data, yield improvement, and traceability. Responsibilities • Develop and design manufacturing test automation software/scripts to test Cerebras products from PCBA to system level., • Develop and implement GUI solutions for test automation., • Work with our contract manufacturers to develop and implement a test data reporting portal for manufacturing traceability and analysis., • Sustain our current test software and infrastructure and help root cause and resolve any manufacturing test software issues or hardware defects., • Design a web interface for user to modify/edit settings from mySQL database on AWS., • Setup the various infrastructures at our manufacturing sites to support test equipment and server operation., • Interact with contract manufacturing site for all the technical issues relating to manufacturing test., • Work with diagnostics, system design, manufacturing and quality team to bring up test automation suites for the new products.Requirements, • Bachelors in computer science, electrical engineering, or other related field., • 5+ years of experience in test automation, test development or related experience., • Skilled in C/C++, Visual Studio, Python programming languages., • Good knowledge of js, MySQL, SQL, SQL Server Reporting Service., • Good knowledge of Pexpect, SSH, Telnet, RS-232, bash script., • Good knowledge of Windows, Linux, Ubuntu, Centos, VNC viewer, Console server., • Debugging skills and knowledge of debugging complex software stack.Preferred Skills, • Experience in GUI development., • Experience in Web development., • Experience in API development. The base salary range for this position is $170,000 to $210,000 annually. Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: • Build a breakthrough AI platform beyond the constraints of the GPU., • Publish and open source their cutting-edge AI research., • Work on one of the fastest AI supercomputers in the world., • Enjoy job stability with startup vitality., • Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2026. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

Role: Program Lead (Manufacturing & Process Transformation) Location – San Jose, CA Keyskills: Manufacturing Process Transformation, Yield Improvement, Penalty Box, CCT Deployment, CITP, Automated Regression Testing & PCB Assembly (PCBASSY) JD: Bachelor’s degree in mechanical/electrical engineering or equivalent and 8-12 years of experience in manufacturing process transformation. Strong experience in manufacturing systems, process engineering, and yield management Hands‑on program management using Jira, Bitbucket/GitHub, Confluence Experience driving automation, metrics, and reporting (Power BI, SQL/MySQL preferred) Solid understanding of software + hardware integrated environments Ability to manage highly complex, cross‑organizational programs. Prior experience working with Cisco or large networking OEMs Exposure to CCT, CITP, automated testing, and regression frameworks

About ProcDNA ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 8 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey? What we are looking for We are seeking a Senior Engagement Lead - Technology to join our team. You are someone with a strong understanding of the pharmaceutical industry, in-depth knowledge of datasets like LAAD, DDD, XPO, and enjoy working with complex data sets to help clients solve real-world problems. You will play a key role in driving business performance, navigating risks, and developing pragmatic strategies through data-driven insights. What you’ll do ▪ Lead Data Management Projects: Drive end-to-end data engineering and BI solution delivery for multiple clients, ensuring timely execution and adherence to project plans ▪ Data Integration & Visualization: Build integrated data solutions and visualizations using tools like Tableau/Power BI to support impactful business storytelling. ▪ Client Engagement & Solution Design: Collaborate with clients to understand business challenges and deliver customized analytics solutions with high-quality UX/UI design. ▪ Data Governance & Security Compliance: Ensure analytics solutions align with data governance, quality, and security frameworks. ▪ Cross-Functional Collaboration: Work closely with internal teams to align technical implementations with business goals and ensure seamless solution delivery. Must have ▪ Experience: 8–10 years in pharma technology consulting, with at least 6 years of U.S. project exposure and direct client interaction. ▪ Technical Expertise: Proficient with ETL tools (ADF, Databricks, Informatica), data workflow tools (Airflow, Azkaban), and storage systems (SQL/NoSQL, Snowflake, Redshift). ▪ BI Tools & Visualization: Strong hands-on experience in building dashboards and BI solutions using Tableau and Power BI. ▪ Data Strategy Knowledge: Solid understanding of data governance, quality frameworks, and experience designing enterprise data warehouse solutions. ▪ Communication & Problem-Solving: Excellent presentation, analytical thinking, and stakeholder management skills

_ covers the people, leadership shifts, compensation trends, and strategic decisions shaping AI, enterprise technology, cybersecurity, venture capital, and the modern C-suite. We are looking for an Analytics Manager who understands how data drives editorial growth, audience behavior, executive engagement, and commercial performance across digital media. This role sits at the intersection of analytics, SEO, audience strategy, AI search visibility, and executive media intelligence. What You’ll Do • Own website, content, and campaign analytics across editorial, newsletter, SEO, social, and paid channels, • Build dashboards and reporting systems for leadership, editorial, and growth teams, • Analyze executive audience behavior, engagement patterns, retention, and conversion funnels, • Track performance across AI search engines, Google Search, LinkedIn, newsletters, and referral ecosystems, • Identify high-performing content themes across AI leadership, enterprise technology, cybersecurity, venture capital, and executive hiring, • Monitor traffic attribution, user journeys, and conversion paths across forms, subscriptions, and inbound leads, • Partner with editorial and SEO teams to improve organic visibility and search performance, • Work closely with growth and advertising teams on campaign measurement and ROI analysis, • Develop audience segmentation strategies for C-suite readers, enterprise decision-makers, and investors, • Create executive-level reporting with actionable insights and strategic recommendations, • Analyze trends across media consumption, AI search behavior, and emerging discovery platforms, • Support experimentation across content formats, landing pages, newsletter growth, and conversion optimization What We’re Looking For • 3+ years in analytics, digital media analytics, audience insights, growth analytics, or business intelligence, • Strong experience with GA4, Google Search Console, Looker Studio, Microsoft Clarity, LinkedIn Analytics, or similar tools, • Understanding of SEO, AI search visibility, content analytics, and audience growth strategies, • Ability to translate complex data into clear business insights, • Experience working with editorial, content, media, or publishing environments is a strong plus, • Familiarity with AI, enterprise technology, executive leadership, venture capital, or tech media ecosystems, • Comfortable working in fast-moving digital environments with cross-functional teams, • Strong communication and presentation skills Nice to Have • Experience with SQL, BigQuery, Python, or advanced BI tools, • Understanding of attribution modeling and funnel analytics, • Experience analyzing executive or B2B audiences, • Familiarity with AI-driven analytics and predictive audience modeling Why Join You’ll help shape how one of the fastest-growing executive and AI-focused media platforms understands audience intelligence, executive engagement, and the future of digital discovery across AI and search.

ROLE SUMMARY Own the Americas GTM roadmap — translating Alibaba.com's B2B platform strategy into executed quarterly plans across buyer acquisition, vertical expansion, and strategic partnerships. Serve as the operating backbone of the Americas team and primary bridge to Hangzhou HQ. KEY RESPONSIBILITIES ▸ GTM Execution: Own the Americas strategic roadmap — define quarterly milestones, lead cross-functional program reviews, and maintain risk/escalation cadence across Marketing, BD, Product, and Ops ▸ Market Opportunity Sizing: Build US market models by vertical using trade data (HS codes, USITC) and internal platform signals — size white-spaces, prioritize investment, and frame opportunity for leadership ▸ HQ Liaison: Translate US buyer and seller realities into HQ-ready briefs for Hangzhou product and growth teams — own the Americas voice in global planning cycles ▸ Business Reviews: Lead monthly and quarterly business reviews — own the narrative, data, and follow-up actions; hold cross-functional teams accountable to commitments ▸ Budget & Resource Allocation: Support channel spend decisions with scenario modeling — CAC efficiency vs. growth rate trade-offs, vertical investment prioritization REQUIRED BACKGROUND — NON-NEGOTIABLE ▸ E-Commerce / Marketplace: 3+ years at a major e-commerce platform or B2B marketplace (Amazon, eBay, Faire, Wayfair, or equivalent) in a GTM, strategy, or commercial operations role — must have owned measurable business outcomes, not just process coordination ▸ Tech Company or IB / Consulting: Candidates without e-commerce experience must have 4+ years at a top-tier investment bank (M&A, TMT) or strategy consulting firm (MBB / Big 4 Strategy) with significant tech or retail sector coverage — financial modeling and structured problem-solving are baseline expectations ▸ Cross-Functional Program Ownership: Direct experience managing programs across 3+ functions with documented on-time delivery and KPI accountability — not project support ▸ Quantitative Rigor: Able to build market sizing models, run scenario analyses, and interpret funnel data independently — SQL or Python a strong plus ▸ AI tools user and AI skills owner The pay range for this position at commencement of employment is expected to be between $94,800/year and $156,000/year. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Job Description Engagement Manager (Tech, Media and Telecom) Fractal Analytics is a global, AI‑first company and strategic partner to Fortune 500 organizations. Unlike traditional consulting or services firms, AI is Fractal’s core business—not an add‑on. For over 25 years, Fractal has helped enterprises apply advanced analytics and AI to improve decision‑making at scale. Fractal’s Tech, Media and Telecom practice is purpose‑built to support global TMT organizations across sales, marketing, product development & engineering, supply chain, and enterprise functions. We work with many of the world’s largest Tech companies to design, build, and scale production‑grade AI and GenAI solutions that deliver measurable business and patient impact. Join our team and shape the future of Tech, Media and Telecom through groundbreaking technology solutions! Please visit _ for more information about Fractal. Location: San Francisco Bay Area. This role requires onsite presence 3 days/week. Note: This position is not eligible for Immigration Sponsorship at this time. Overview: Fractal is looking for a proactive and driven Engagement Manager – Decision Science to join our Decision Science Consulting team in the Bay Area, CA. In this role, you will help power measurable outcomes for leading technology organizations, leveraging cutting-edge GenAI, Data Science, Engineering, and Behavioral Science capabilities. This is a perfect opportunity for someone who combines consulting-grade systems thinking, strong problem-solving, effective communication, and thought leadership to help our clients solve their most strategic business problems. The ideal candidate will fit well with our key values, i.e. someone who is humble, hungry and smart Responsibilities: • Serve as the primary point of contact for senior client stakeholders as strategic partner., • Lead delivery of complex analytics and AI-driven programs, ensuring quality and timely outcomes., • Proactively innovate solutions leveraging decision science, behavioral insights, and emerging AI capabilities., • Foster collaboration across multi-disciplinary teams and drive delivery excellence., • Identify opportunities to deepen client relationships and expand engagement scope., • Contribute to thought leadership and practice growth initiatives. Qualifications: (Must Have) • 10-14 years of experience in analytics consulting or decision science leadership roles., • Proven ability to manage senior client relationships and deliver complex programs., • Strong problem-solving mindset with first principles thinking., • Established subject matter expert in 1 or more of the following – data science, digital marketing, behavior science, GenAI, product management, software development with strong familiarity or interest in remaining fields, • Excellent communication and team leadership skills; ability to mentor and build high-performing teams., • Culture fit: Humble, Hungry, Smart (HHS) with a collaborative approach. (Preferred Skills) • Familiarity with SQL and Python for problem-solving (hands-on)., • Exposure to consulting frameworks e.g. 5-whys, issue tree, prioritization matrix, • Exposure to project management frameworks e.g. agile, waterfall, scrum, • Exposure to product management concepts e.g. PRD, backlog grooming, user stories, • Experience in digital analytics, experimentation, and data-driven decision-making., • Understanding of Adobe Analytics concepts and digital data structures., • Exposure to standard ML techniques (e.g. regression, clustering, experimentation, forecasting)., • Interest in emerging GenAI applications and trends. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $180k-$220,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

People Analytics Consultant Contract through January 2027 (eligible for extension/conversion) Location: Hybrid in Pittsburgh PA, San Francisco CA, or Mountain View CA. Benefits provided The People Analytics team is responsible for measuring people initiatives and guiding strategic business decisions with (people) data & insights. In this role, you will • Partner with people leaders and business stakeholders to surface insights that address time-sensitive people challenges and inform high-stakes decisions, • Translate ambiguous business questions into structured analytic approaches, testing hypotheses through ad-hoc analyses across hiring, retention, performance, engagement, culture, and workforce planning decisions, • Deliver clear, decision-ready analyses and narratives for leadership meetings, board prep, and executive reviews, • Prototype innovative insights, metrics, and analytical approaches in response to emergent needs, and identify opportunities to evolve the core people analytics platform, • Design, deploy, and analyze employee surveys (e.g. performance, lifecycle, engagement), identifying key signals and themes that inform action, • Apply rigorous data validation and judgment to ensure accuracy, integrity, and responsible use of people data, in alignment with privacy and confidentiality standards Required Qualifications • 5+ years of experience working with people data in an applied setting, • Strong proficiency in tools like Excel, SQL, and data visualization software (eg Tableau, PowerBI) or people analytics software (eg Visier, OneModel, Crunchr), • Experience with People systems (e.g. Workday, Greenhouse) and survey platforms (e.g. Culture Amp, Qualtrics), • Exceptional analytical and problem-solving skills with high attention to detail, • Strong communication skills, with the ability to translate technical findings into compelling insights for a wide range of stakeholders, • Working understanding of statistical concepts and techniques (e.g. regression, cluster analysis, hypothesis testing, longitudinal methods, etc), • Natural curiosity and bias toward innovative solutions Pay range is $50/hr - $60/hr with full benefits available, including paid time off, medical/dental/vision/life insurance, 401K, parental leave, and more. Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. THE PROMISES WE MAKE: At Crystal Equation, we empower people and advance technology initiatives by building trust. Your recruiter will prep you for the interview, obtain feedback, guide you through any necessary paperwork and provide everything you need for a successful start. We will serve to empower you along the way and provide the path for your professional journey. For more information regarding our Privacy Policy, please visit crystalequation.com/privacy

We are seeking a highly motivated Business Operations Associate to join our team and help shape the future of our company. You will partner with customers to identify high-priority use cases, map workflows, deploy our product, and measure business impact - working closely with the founding team to ensure our roadmap aligns to customer outcomes. What You’ll Do Discovery & Outcome Design • Lead focused discovery to map customer workflows and pain points; prioritize opportunities by impact, feasibility, and time-to-value., • Translate ambiguity into clear problem statements, hypotheses, and success metrics (e.g., days-on-market, lead conversion, cost per ticket, SLA adherence)., • Build lightweight business cases and experiment designs (A/B or pre/post) to prove value fast. Product Deployment & Scale • Configure and launch MaxHome, along with evaluation criteria and guardrails, • Drive pilots to production: own plans, owners, risks, and acceptance tests, • Instrument, analyze, and communicate results; create dashboards and crisp executive readouts., • Enable adoption with training, runbooks, and change-management comms; monitor usage, quality, and SLAs., • Turn successful engagements into reusable templates, ROI models, and implementation guides. Be the Product Expert & Customer Voice • Become a power user; reproduce issues, triage with Eng/PM, and channel field feedback into the roadmap., • Identify adjacent net-new use cases and rapidly prototype using product building blocks, expanding the value we deliver. What Makes You a Great Fit • Consulting foundation: 2+ years at McKinsey/BCG/Bain (or equivalent) with client-facing ownership., • Analytical problem solver: hypothesis-driven, strong with numbers and crisp storytelling; comfortable designing metrics and experiments., • Customer-facing operator: confident with execs and frontline teams; excellent stakeholder management., • Technical fluency (practical): comfortable with API docs, CSVs, basic SQL/Sheets, and reasoning about data readiness, prompts, and evaluation., • Startup energy: high ownership, bias to action, thrives in ambiguity, fast without sacrificing quality. Nice to Have • BI tools (Looker/Tableau/Mode), basic Python, workflow tools (Asana/Jira/Notion)., • Experience deploying enterprise software or operationalizing AI/LLM use cases., • Real estate domain exposure (brokerage ops, property management, maintenance, customer support).

Engagement Manager, TMT Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.Please visit Fractal | Intelligence for Imagination for more information about Fractal. Please visit _ for more information about Fractal Location: San Francisco, California Note: This position is not eligible for Immigration Sponsorship at this time. Summary: Fractal is looking for a proactive and driven Engagement Manager – Decision Science to join our Decision Science Consulting team. In this role, you will help power measurable outcomes for leading technology organizations, leveraging cutting-edge Data Science, Marketing Analyics, GenAI, Engineering, and Behavioral Science capabilities. This is a perfect opportunity for someone who combines consulting-grade systems thinking, strong problem-solving, effective communication, and thought leadership to help our clients solve their most strategic business problems. The ideal candidate will fit well with our key values i.e. humility to power continuous learning, hunger for constant growth and improvement and smart solutioning leveraging multi-disciplinary skills KEY RESPONSIBILITIES: • Serve as the lead for India based team and interface with senior delivery leaders as well as clients., • Lead delivery of complex analytics and AI-driven programs, ensuring quality and timely outcomes., • Build and groom high performing teams with effective hiring processes, onboarding systems and proactive, targeted interventions., • Proactively innovate solutions leveraging decision science, data science, behavioral insights, engineering and Gen AI capabilities., • Foster collaboration across multi-disciplinary teams and drive delivery excellence by identifying process improvement opportunities, • Continuously keep abreast of Tech industry developments to consult clients and proactively innovate on their behalf., • Contribute to thought leadership and practice growth initiatives by preparing case studies, publishing articles and attending industry conferences. Core Requirements (Must Have) • 8-14 years of experience in analytics consulting or decision science leadership roles., • Proven ability to lead teams and work with US based counterparts and managing senior client relationships to deliver complex programs., • Strong problem-solving mindset with first-principles thinking., • Established subject matter expert in 1 or more of the following – data science, digital marketing, behavior science, GenAI, product management, software development with strong familiarity or interest in remaining fields, • Excellent communication and team leadership skills; ability to mentor and build high-performing teams., • Culture fit: Humble, Hungry, Smart (HHS) with a collaborative approach. Preferred Skills (Good to Have) • Familiarity with SQL and Python for problem-solving (hands-on)., • Exposure to consulting frameworks e.g. 5-whys, issue tree, prioritization matrix, • Exposure to project management frameworks e.g. agile, waterfall, scrum, • Exposure to product management concepts e.g. PRD, backlog grooming, user storiesExperience in digital analytics, experimentation, and data-driven decision-making., • Understanding of Adobe Analytics concepts and digital data structures., • Exposure to standard ML techniques (e.g. regression, clustering, experimentation, forecasting).Interest in emerging GenAI applications and trends. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current base is: Up to $200,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Software Guidance & Assistance, Inc., (SGA), is searching for an EAM ASSET MANAGEMENT SYSTEMS SUPERVISOR for a FULL TIME/DIRECT HIRE assignment with one of our premier UTILITY clients in SAN JOSE, CA. This role is hybrid 3x week (Tu/Wed/Thur) Role Overview This role leads the administration, enhancement, and day-to-day performance of enterprise systems that support asset lifecycle tracking and work management processes across a multi-site organization. Reporting to senior leadership within asset strategy or operations, the position oversees a team responsible for ensuring that enterprise asset platforms and related tools effectively support maintenance, repair, planning, and capital activities. The Supervisor is accountable for system reliability, user enablement, data accuracy, and cross-functional alignment. This position works closely with operations, IT, and business teams to improve system adoption, optimize workflows, and leverage data insights to drive operational performance. The role also supports ongoing technology initiatives and fosters continuous improvement through effective use of analytics, integrations, and digital tools. Key Responsibilities • Promote a strong culture of safety, ensuring adherence to internal policies, regulatory requirements, and industry standards across all system-related activities., • Lead a team responsible for supporting enterprise asset/work management platforms, including user access, system configuration, training, and documentation., • Partner with operational stakeholders and technical teams to enhance system functionality, usability, and alignment with business workflows., • Support upgrades, enhancements, and implementation activities related to asset management and maintenance systems., • Oversee data governance practices to improve data integrity, reporting accuracy, and visibility into asset and work performance., • Drive initiatives that strengthen system utilization and improve overall data quality across the organization., • Manage integrations between asset management systems and other enterprise applications., • Support mobile and field-based technology solutions that enable efficient work execution., • Develop reporting dashboards and analytics using business intelligence tools to support decision-making., • Coordinate multiple system-related initiatives to ensure alignment with business priorities and operational needs. Knowledge, Skills, and Capabilities • Strong understanding of asset management and maintenance workflows within an operational environment., • Excellent communication skills with the ability to translate technical concepts into practical business solutions., • Experience mapping business processes and configuring systems to support those processes., • Proficiency working with relational databases, including writing and optimizing SQL queries., • Experience with reporting platforms and data visualization tools., • Familiarity with integrating enterprise systems and managing data flows between applications., • Analytical mindset with the ability to interpret data trends and present actionable insights., • Working knowledge of data structures, database design, and information management principles., • Exposure to scripting or programming languages (such as Python, JavaScript, or .NET) is beneficial., • Ability to collaborate effectively across technical and operational teams at multiple organizational levels., • Strong organizational skills with the ability to manage multiple priorities independently., • Understanding of ETL processes and data integration best practices. Education and Experience • Bachelor's degree (or equivalent experience) in Information Systems, Engineering, Computer Science, Business, or a related field., • At least six (6) years of experience working with enterprise asset management or maintenance management platforms., • Prior experience supporting or working within a specific enterprise asset system platform is preferred., • Experience working with enterprise databases and tools used for querying and managing structured data., • Background in data analysis, reporting, and dashboard development using BI tools. SGA is a technology and resource solutions provider driven to stand out. We are a women‐owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together , we mean it. You'll join a diverse team built on our core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do, and find your passion at work. Please find us at https://sgainc.com/. SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment and in our services, programs, and activities. Please visit our company EEO page to request an accommodation or assistance regarding our policy.

Primary Skills: ServiceNow HRSD [advanced], Workday Integrations [intermediate], Jira [advanced], User Story Creation [advanced], SQL Queries [beginner] Contract Type: W2 Only Duration: 6+ Months Location: San Jose, CA () Pay Range: $70 - $75 per hour on W2 #LP Job Summary: This role supports HR Service Delivery initiatives within ServiceNow, focusing on enhancing employee experiences across various HR functions. You will collaborate with product and business teams to define and implement new functionalities and improvements. Your work will directly impact how employees interact with HR services, ensuring efficient and effective support. Key Responsibilities: • Analyze current and future HR workflows with subject matter experts., • Document business requirements into detailed product specifications., • Configure and customize HRSD modules, including catalog items and case management., • Develop and implement efficient routing and workflow logic., • Collaborate on system integrations with key HR platforms.Must-Have Skills:, • ServiceNow HRSD configuration experience, • Ability to write precise requirements and user stories, • Proficiency in Jira for requirement managementIndustry Experience: This role requires experience in the Human Resources technology domain, particularly with platforms managing employee services and workflows. ABOUT AKRAYA Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)! Industry Leaders in Tech Staffing As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires! Join Akraya Today! Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!

Title: Artist Curation Operations Lead (Contract) Pay Rate: $90 - $97/hr Duration: 12-month assignment Location: Hybrid (Cupertino, CA) Please scroll to the bottom of this posting to review an important Candidate Safety & Fraud Awareness Disclaimer from TCWGlobal. Summary: We are seeking an Artist Curation Operations Lead to oversee and scale artist catalog operations supporting a global music platform. In this role, you will drive the quality, accuracy, and scalability of artist metadata and content across artist pages, bios, imagery, concerts, and related artist-facing experiences. This position sits at the intersection of operations, AI/ML, data quality, and technical program management. You will partner closely with Engineering, Data Science, Product, and Operations teams to translate operational challenges into scalable technical solutions, helping evolve manual curation workflows into intelligent, automated systems. The ideal candidate is highly analytical, operationally minded, technically fluent, and energized by solving ambiguous problems in fast-paced environments. What You’ll Do: · Lead artist curation operations across artist metadata, bios, imagery, concerts, and related catalog experiences · Serve as the primary operational lead and escalation point for internal and external curation partners · Partner cross-functionally with Engineering, Data Science, Product, Analytics, and Operations teams to align priorities and drive execution · Translate operational challenges into technical requirements and actionable specifications for AI/ML and engineering teams · Evaluate model outputs, quality metrics, error analysis, and human feedback loops to determine production readiness · Design and improve review workflows and tooling that incorporate AI-generated recommendations and automation · Identify opportunities to improve operational efficiency through automation, ML models, and agentic workflows · Conduct lightweight ROI and impact analysis to prioritize tactical and strategic solutions · Build executive-ready presentations, updates, and recommendations for leadership stakeholders · Manage ambiguous initiatives end-to-end with minimal direction while balancing competing priorities What You Bring: · 5+ years of experience in operations, program management, technical product management, or related roles with exposure to AI/ML-driven workflows · Experience translating operational or product challenges into technical or ML requirements · Experience partnering directly with data scientists, engineers, and technical stakeholders through development cycles · Strong understanding of model evaluation concepts including quality metrics, error analysis, and human-in-the-loop review systems · Experience designing or improving review, annotation, or operational tooling · Strong analytical and problem-solving skills with ability to structure ambiguous problems · Exceptional communication and presentation skills, including executive-level storytelling · Ability to work independently and drive initiatives forward in fast-paced environments · Strong attention to detail and operational rigor Bonus Points If You Have: · Experience within music, entertainment, media metadata, or catalog operations · Familiarity with entity resolution or disambiguation challenges · Exposure to LLM workflows, prompt evaluation, or AI-assisted automation systems · Experience managing vendor or outsourced operations teams · Experience with SQL, Tableau, or similar analytics/BI tools · Experience supporting international stakeholders or global operational programs · Passion for music, artist ecosystems, and content operations TCWGlobal is an equal opportunity employer. We do not discriminate based on age, ethnicity, gender, nationality, religious belief, or sexual orientation. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Important Candidate Safety Notice This position has been verified and officially approved by TCWGlobal. Please be aware that fraudulent recruiters and fake job postings may attempt to impersonate legitimate companies online. For your protection: • Only trust communication from verified TCWGlobal representatives, • Ensure a TCWGlobal recruiter is present on all official phone or video interviews, • TCWGlobal will never request payment, gift cards, cryptocurrency, or sensitive banking information during the hiring process, • Do not share sensitive personal information with unverified individuals or suspicious third parties, • If you are unsure whether a posting or recruiter is legitimate, we encourage you to verify active opportunities directly through https://www.tcwglobal.com/client-jobs or by contacting hello@tcwglobal.com TCWGlobal is committed to protecting candidates and maintaining a safe, transparent, and professional hiring experience.

Database Architect Santa Clara, CA 95054 • Location: Santa Clara, CA - In-office at least 4 days a week, • Must be legally authorized to work in the United States for any employer without restrictions, no third-party applications, • Salary is open to discuss depending on skills and experience We are seeking an experienced Database Architect with experience in systems engineering to lead the design, optimization, and governance of an on‑premise database ecosystem spanning NoSQL/analytic and relational platforms, combining deep database engineering expertise with strong systems architecture skills across computing, storage, networking, virtualization, and security. RESPONSIBILITIES: • Architect and maintain scalable ClickHouse clusters for high‑performance analytical workloads, • Design and operate robust HBase clusters, • Implement ingestion and streaming patterns for NoSQL analytics (e.g., Kafka pipelines), • Architect highly available, scalable deployments of SQL Server or PostgreSQL on physical and virtual servers, • Lead schema and data modeling (OLTP and analytical), including normalization, partitioning, indexing, and lifecycle design, • Implement database access governance, least privilege and auditing, • Partner with networking teams to design low‑latency, high-bandwidth network architectures supporting large-scale relational and analytic workloads REQUIRED QUALIFICATIONS: • At least 8 years of architecture/engineering experience in on‑prem enterprise environments, • Proven experience architecting and operating ClickHouse clusters at scale, • Deep expertise with Microsoft SQL Server and PostgreSQL, including HA/DR, tuning, indexing, partitioning, and replication, • Hands‑on expertise with HBase internals (HDFS, region servers, ZooKeeper, compactions), • Strong systems engineering background: Linux (RHEL) and Windows Server, • Proficiency with VMware/Hyper‑V virtualization and enterprise storage (SAN/NAS/NVMe), • Strong scripting/automation skills in PowerShell, Bash, Python, or Ansible PREFERRED QUALIFICATIONS: • Bachelor of Computer Science or related technical discipline, • Familiarity with MPP/on‑premise analytics ecosystems beyond ClickHouse/HBase, • Any certifications in PostgreSQL, MSSQL, Linux, VMware, or Hadoop ecosystem We are an equal opportunity employer, and we are an organization that values diversity. We welcome applications from all qualified candidates, including minorities and persons with disabilities. req26-00142

Required Skills & Experience • Strong experience with MLOPs, Agentic AI , Machine Learning & Python programming., • Deep hands‑on expertise with Deep Learning, Data Pipelines & Advance SQL, • Technical Proficiency Deploying models & Feature Engineering., • Familiarity with CI/CD pipelines, observability, and secure service operations., • Ability to work independently, own deliverables end‑to‑end and leave high‑quality documentation.

Entry Level Data Engineer Job Description We are hiring a Data Engineer to support the design and maintenance of data pipelines and ETL processes. The candidate will help manage large-scale data systems. Responsibilities Build and maintain ETL pipelines Transform and clean datasets Work with cloud data platforms Support analytics teams Requirements Knowledge of SQL and Python Understanding of databases and ETL concepts Familiarity with cloud platforms Basic knowledge of Spark or Hadoop is a plus

GyanSys is looking for a Databricks Lead for its direct client based in Santa Clara, CA. The ideal candidate will have strong experience in building scalable data pipelines, working with Azure cloud ecosystems, and leading data engineering initiatives. This role requires hands-on technical expertise along with the ability to guide and mentor team members . Key Responsibilitie • s:Lead the design, development, and deployment of data engineering solutions using Databricks and Azur, • e.Build and optimize scalable ETL/ELT pipelines for large-scale data processin, • g.Work closely with business stakeholders, data architects, and analysts to understand data requirement, • s.Drive data modeling, data integration, and data quality initiative, • s.Develop and maintain data pipelines using PySpark, SQL, and Databricks notebook, • s.Ensure best practices for data governance, security, and performance optimizatio, • n.Collaborate with cross-functional teams for end-to-end solution deliver, • y.Provide technical leadership and mentoring to junior engineer, • s.Troubleshoot and resolve production data issues in a timely manne, • r.Bachelors degree requir ed About Gyan Sys GyanSys is a leading global system integrator company supporting enterprise customers worldwide. We specialize in solutions implementations, managed services, and data analytics spanning SAP, Salesforce, Microsoft, and other prime enterprise platforms. Using a mature blended delivery model with over 3,000 consultants, we support over 350 enterprise customers across the Americas, Europe, and A PAC.

About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities. At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead. Your Team, Your Impact As a Supply Chain IT Solution Architect at Marvell, you'll drive innovation in intelligent, resilient supply chain operations as a key member of our Supply Chain Systems team. We develop cutting-edge solutions for the industry's most demanding challenges—supply chain visibility, supply planning, and end-to-end fulfillment orchestration—with a focus on optimizing Marvell's global operations using Kinaxis and AI. You'll join a team of elite problem solvers tackling complex technical and operational challenges. Your work will directly impact the efficiency and agility of supply chain operations that support Marvell's delivery to leading technology companies worldwide. We hire the best talent in supply chain technology and deliver differentiated capabilities that create measurable value for our business partners. If you thrive on solving tough problems and want to make a meaningful impact on supply chain excellence, this is your opportunity. What You Can Expect • Architect and design AI-driven, end-to-end supply chain transformations, providing strategic guidance on system and data architecture., • Act as the primary point of contact for all Kinaxis Maestro (RapidResponse) authorship, configuration, data mapping, automation, and performance improvements, • Partner with business stakeholders to understand requirements, pain points, troubleshoot complex planning issues and propose long-term, scalable solutions., • Define, design, and optimize supply chain processes across the organization to bridge the gap between business problems and technology solutions., • Develop, enhance, and maintain RapidResponse resources, ensuring seamless integration into the existing supply chain planning ecosystem. What We're Looking For • Bachelor’s degree in Systems, Supply Chain Management, Operations Research, Engineering, or a related field and 10-15 years of related professional experience. OR Master’s degree and/or PhD in, • Systems, Supply Chain Management, Operations Research, Engineering, or a related field with 5-10 years of experience., • 5+ years of functional experience in business analysis, system integration, and solution delivery., • 5+ years of hands-on experience in implementing, configuring, and managing Kinaxis RapidResponse (Maestro), • Strong background in Supply Chain Planning, • Working knowledge of SQL for querying databases., • Expert in Software Development Lifecycle (SDLC) & Agile practices., • Proven experience modeling material and capacity constraints in advanced planning solutions., • Prior semiconductor experience is a plus Expected Base Pay Range (USD) 138,840 - 208,000, $ per annum The successful candidate’s starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions. Additional Compensation and Benefit Elements Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life’s most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones. We look forward to sharing more with you during the interview process. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

About the Company At Programmers.IO, We help a global IT services and software development company specializing in application modernization, AI enablement, and legacy system support. We are growing fast and looking for a passionate Oracle to PostgreSQL Migration Architect with our Client is Wipro and location is Sunnyvale, CA(Onsite). The managers are working fast and looking forward to having a successful candidate on board at the earliest. Title:-Oracle to PostgreSQL Migration Architect Location:- Sunnyvale, CA(Onsite) Type:- Contract/FTE(Both) About the Role An Oracle to PostgreSQL Migration Architect leads the technical strategy, assessment, schema conversion, and data migration from Oracle to PostgreSQL (often AWS RDS/Aurora or Azure). They specialize in mapping Oracle PL/SQL to PL/pgSQL, optimizing performance, designing cloud-native database architectures, and reducing downtime. Key Responsibilities • Assessment & Strategy: Evaluate existing Oracle database environments to plan the migration roadmap, including TCO analysis and application dependency mapping., • Migration Design: Design scalable, secure PostgreSQL schema architectures, converting Oracle PL/SQL stored procedures, triggers, views, and packages to PL/pgSQL., • Technical Execution: Perform data migrations using tools like AWS SCT/DMS, Ora2Pg, or pgloader, ensuring data integrity., • Performance Optimization: Tune PostgreSQL performance, including indexing, query optimization, and handling differences in storage engines., • Troubleshooting & Support: Resolve complex data type mismatches, handle replication issues, and provide troubleshooting during and after migration. Required Experience:- Pls look for Strong Python Coder having experience in creating Microservices on database and you can have any database migration. • 10+ years of hands-on experience in Oracle Database Administration, with 3+ years specifically in Oracle-to-PostgreSQL migration. Required Technical Skills:- • Oracle Expertise: Proficient in Oracle Database Administration, PL/SQL, and SQL performance tuning., • PostgreSQL Proficiency: Strong knowledge of PostgreSQL internals, PL/pgSQL, and configuration., • Migration Tools: Experience with migration tools such as AWS Schema Conversion Tool (SCT), AWS Database Migration Service (DMS), or Ora2Pg., • Cloud Platforms: Knowledge of AWS (RDS/Aurora) or Azure., • Scripting: Proficiency in Python, Bash, or Perl for automation. PKey Skills for Success • Understanding of microservices architecture., • Database security best practices., • Excellent communication and stakeholder management skills. Thanks! Vishal Tyagi Vishal.Tyagi@programmers.ai Direct Number: +19725879306 Extension Number: 472

eDiscovery Analyst position based in Sunnyvale, CA. Initially onsite 5 days/week (during training), later 3 days/week (days to be decided) depending on project needs. Key Qualifications: • Experience with custodial data collections for eDiscovery and/or forensic processing, • Experience with data processing in an electronic discovery environment, • Ability to write basic SQL queries, • Ability to manage multiple short-term requests of varying priority and SLAs as well as long-term projects, • High attention to detail, • Holds a current/valid digital forensic certification (CCE, EnCE, CFCE, etc) o Bonus if they have one already, but we will require at least CDFE be completed before handling production data • Experience working with Splunk (creating dashboards, building queries, etc), • Strong understanding of Terminal/bash commands, • Ability to communicate findings/case updates clearly to non-technical business partners

Software Engineer About The Team AI is about to flood the market with new drug candidates. Clinical research sites, responsible for conducting trials, are the bottleneck to FDA approval. Their back-office operations are often manual, fragmented, and incredibly complex. We’re rebuilding the entire back-office from the ground up to help sites focus on their core mission: advancing life-saving research. Our AI agents manage millions of dollars in trial budgets. They structure unstructured data, determine what sites are owed, and recover it. We just closed a seed round (announcing soon) and we're hiring our founding engineering team. Role Overview You'll report directly to our CTO. You'll own the systems that automate the entire financial lifecycle for clinical research sites: integrations with banks, CTMS platforms, payment portals, and our AI agents. Stack: Golang backend, Temporal for workflow orchestration and batch jobs, Postgres for relational data, Redis for caching, Docker Compose for local dev. This is a rare early engineering role. You'll work directly with customers, shape the product roadmap, and build the technical foundation of the platform. We're looking for someone who acts like an owner, wants to modernize healthcare infrastructure, and is comfortable on a customer call. Responsibilities • Own the end-to-end development of our core financial system, • Design and scale backend services in Golang and Temporal, • Build deep integrations with banks, CTMS, payment portals, and our AI engine, • Work directly with customers on integrations and feed back into the roadmap You'll do well here if: • Can take a vague goal, i.e. "the invoice totals don’t match payments sums", and decide what matters before writing code., • Have shipped a system end-to-end yourself: you sized it, built it, rolled it out, and watched it in production., • Write code with meticulous precision. The movement of money through this product demands exceptionally careful engineering., • Prioritize studying existing codebases, SQL, and migrations over reflexively adding new code., • Partner directly with the people on the other side of your code, customers & cofounders, without needing layers in between., • Treat AI tools as leverage, not a substitute for understanding what you shipped. Bonus, not required: you've worked on a ledger, a billing system, an EHR, or anything else where being wrong has a dollar amount attached. If you haven't, curiosity about the clinical-trial domain and fin-tech matters more than prior exposure. Compensation and Benefits: • $150k–$275k base salary + meaningful founding equity, • 100% employer-paid medical, dental, and vision, • Unlimited PTO, • Whatever MacBook and monitor setup you want

• Deployment Engineer-Hands-on senior engineer working directly with Supply Chain customers and business stakeholders to deploy| customize| and scale solutions. Acts as a bridge between business needs and technical implementation., • Key Responsibilities: Partner with customers to understand business needs and translate them into technical solutions., • Deploy| customize| and optimize solutions in real-world environments. Lead architecture| troubleshooting| and performance improvements., • Collaborate with product and engineering teams to drive enhancements. Serve as a trusted technical advisor and mentorRequirements8 years in software engineering solutions technical consulting., • Strong hands-on coding system design experience. Experience using AI GenAI| Automation and Tooling for solving Business problem., • Experience working directly with business stakeholder’s customers. Proficiency in working with AI Solutions| Data Engineering and Python (e.g.| Python| SQL|Snowflake|)

Who We Are Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Coinbase, Okta executives and serial entrepreneurs. We’ve raised capital from notable investors such as Accel Partners, Naspers, Section32 and a host of prominent Silicon Valley Angels including Sheryl Sandberg (Facebook/Google), Divesh Makan (Iconiq Capital), Jerry Yang (Yahoo), Dustin Moskovitz (Facebook/Asana), David Baszucki (Roblox CEO) and Gokul Rajaram (Doordash, Square, Google). Our team is a powerhouse of talent, comprising engineers from leading tech companies like Google, Microsoft Research, Facebook, Square/Block, and Coinbase. Most of our team members hail from top-tier educational institutions such as Stanford, MIT, UC Berkeley, CMU and Indian Institute of Technology. Ema is based in Silicon Valley and Bangalore, India. This will be a hybrid role where we expect employees to work from our Mountain View, CA office three days a week. Who You Are We're looking for innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related spaces. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact. You Will • Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems., • Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems., • Process and analyze large, complex datasets (structured, semi-structured, and unstructured), and use your findings to inform the development of our models., • Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment., • Implement A/B testing and other statistical methods to validate the effectiveness of models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes., • Clearly communicate the technical workings and benefits of ML models to both technical and non-technical stakeholders, facilitating understanding and adoption. Minimum Qualifications • A Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field., • At least 2 years of industry experience in building and deploying production-level machine learning models., • Deep understanding and practical experience with NLP techniques and frameworks, including training and inference of large language models., • Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems and experience in how to build them for large systems., • Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch. Ideally, You'd Have • Excellent skills in data processing (SQL, ETL, data warehousing) and experience working with large-scale data systems., • Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practices., • Familiarity with cloud platforms like GCP or Azure., • Familiarity with the latest industry and academic trends in machine learning and AI, and the ability to apply this knowledge to practical projects., • Good understanding of software development principles, data structures, and algorithms., • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking., • The ability to work collaboratively in an extremely fast-paced, startup environment. For California Based Candidates The standard base salary for this position is $135,000 to $300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

Title : Data Engineer Location : Remote in SFO, CA Duration : 6 Months contract ( Possibility of extension ) W2 Contract Only About the Company This is a hands-on role focused on data ownership, modeling, quality, and performance — enabling scalable automation and future AI-driven solutions across Customer Success. About the Role Design, build, and maintain ETL/ELT pipelines from Salesforce, Gainsight, and other operational systems into Snowflake. Responsibilities • Audit, normalize, and restructure existing Snowflake tables and views to improve clarity, consistency, and performance., • Develop clean, analytics-ready data models that power Tableau dashboards, Gainsight workflows, and executive reporting., • Translate business logic (ARR, renewals, churn, consumption, health scoring) into structured, documented data definitions., • Investigate and resolve root causes of reported data discrepancies and implement durable fixes., • Optimize query performance, warehouse utilization, and overall Snowflake efficiency., • Implement data validation, monitoring, and quality controls to improve trust in reporting., • Document data lineage, transformations, and definitions to improve transparency and governance., • Partner closely with Senior Data Analysts, Customer Success, and Ops to ensure scalable, reusable datasets., • Prepare structured datasets that support automation initiatives and future AI use cases. Qualifications • Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or equivalent practical experience. Required Skills • 2+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others)., • 2+ years of experience in designing, developing, and maintaining robust data models from structured and unstructured sources., • Experience proactively identifying opportunities to improve ETL & dashboard performance and cost., • 2+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, analytics engineer, or similar positions., • Experience with data warehouse technologies (Snowflake, BigQuery, Spark, etc) and data build tools such as DBT., • Experience in Git/GitHub and branching methodologies, code review tools, CI tools, JIRA, Confluence., • Strong understanding of data modeling principles (normalization, dimensional modeling, schema design)., • Strong analytical and problem-solving skills, including experience investigating and resolving data inconsistencies. Preferred Skills • Experience working with Salesforce data models (Accounts, Opportunities, Contracts, Subscriptions)., • Experience with Gainsight, Tableau, and SnapLogic., • Experience supporting SaaS or subscription-based business models (ARR, renewals, consumption)., • Exposure to automation, predictive modeling, or AI-related data preparation., • Experience implementing data governance, access controls, and documentation standards., • Experience with server-side languages like TypeScript/Node.JS/Python/Kotlin., • Experience with RESTful API design.

Company Description Founded in 2001, Polaris Wireless Inc. is the leading provider of US FCC compliant, high accuracy, software-based wireless location solutions to operators, law enforcement agencies and location-based application companies. The Polaris Wireless patented Wireless Location Signatures (Polaris WLS™) technology is a cost-effective solution to the location determination problem since no changes in the wireless device or in the network operator’s base stations are required. Polaris Wireless markets two main platforms: OmniLocate and Aigis that enable a wide variety of public safety and national security applications. The Company has commercially deployed its location products across 27 wireless networks in the US for E911 Phase II location services and in APAC for 999, and across 22 wireless networks in EMEA and APAC for security applications. Polaris’s technology works seamlessly across “all” mobile devices, all air interfaces (2G, 3G, 4G LTE and 5G) and across all environments, including challenging dense urban and indoor locations. Polaris Wireless recently solved the vertical location estimation challenge and successfully demonstrated it to the FCC. Polaris Wireless has received multiple awards from Frost and Sullivan, was listed in the Inc. 500/5000 fastest growing companies list. The company founded in Silicon Valley has expanded its operations and sales globally. Its U.S. operations are headquartered out of Polaris Wireless, Inc. in Mountain View, California, U.S.A. Its international sales operations are headquartered out of Polaris Wireless GmbH in Zug, Switzerland with additional offices in the Middle East and Asia. The company is currently self-funded from its commercial operations. Role Description We are seeking an experienced Database Architect with experience in systems engineering to lead the design, optimization, and governance of our on‑premises database ecosystem spanning NoSQL/analytic (ClickHouse, ScyllaDB) and relational (Microsoft SQL Server) platforms. This role combines deep database engineering expertise with strong systems architecture skills across compute, storage, networking, virtualization, and security. You will define architectural standards, guide performance engineering, ensure high availability, and drive long‑term modernization across mission‑critical data platforms. Responsibilities Architecture • Define and drive the overall system architecture for scalable, distributed, and high-performance platforms., • Design microservices-based and event-driven architectures, leveraging Kafka for asynchronous communication., • Architect systems for high availability, fault tolerance, and scalability across cloud environments., • Standardize on technologies including:, • Spark for large-scale data processing, • HDFS for distributed storage, • Kubernetes for container orchestration, • Ensure architecture supports multi-language ecosystems (Java and Python)., • Lead architecture reviews, design discussions, and technical decision-making., • Align architecture with business requirements, performance goals, and long-term scalability., • Define best practices for modularity, extensibility, and service interoperability. Database • Design and optimize data platforms using ClickHouse or similar OLAP/columnar databases., • Develop and tune complex PL/SQL queries, stored procedures, and ETL/ELT pipelines., • Build scalable batch and real-time data pipelines using:, • Apache Spark (PySpark/Java) (batch + distributed processing), • Kafka (stream ingestion and processing), • Utilize HDFS for distributed, fault-tolerant storage of large datasets and data lake architectures., • Design efficient data models, partitioning, and indexing strategies., • Optimize query performance, storage efficiency, and data retrieval latency., • Ensure data consistency, integrity, and availability across distributed systems., • Support pipelines and transformations built in Java and Python ecosystems. System Engineering • Design and build robust, scalable, and fault-tolerant distributed systems., • Build event-driven systems leveraging Kafka for messaging and stream processing., • Develop backend systems and services using Java and Python., • Define and monitor system metrics: latency, throughput, scalability, reliability., • Implement monitoring, logging, and alerting frameworks., • Troubleshoot complex production issues and lead root cause analysis., • Collaborate with DevOps to optimize CI/CD pipelines and infrastructure automation., • Drive improvements in performance, resilience, and cost efficiency. Governance & Practices • Establish and enforce architecture standards, coding practices, and design principles., • Ensure compliance with security, data governance, and regulatory standards., • Promote engineering best practices for Java and Python development., • Conduct design and code reviews to ensure quality and consistency., • Maintain architecture documentation, system diagrams, and runbooks., • Mentor engineers and drive knowledge sharing and technical excellence. Required Qualifications • 5-15 years of architecture/engineering experience in on‑prem enterprise environments., • Proven experience in operating ClickHouse or similar database clusters at scale., • Strong systems engineering background: Linux (RHEL) and Windows Server., • Strong scripting/automation skills in PowerShell, Bash, Python, or Ansible. Preferred Qualifications • Bachelor of Computer Science or related technical discipline., • Familiarity with MPP/on‑prem analytics ecosystems beyond ClickHouse., • Any certifications in PostgreSQL, MSSQL, Linux, VMware, or Hadoop ecosystem., • Prior experience migrating or integrating on‑prem systems with limited cloud components., • Experience with performance testing frameworks for high‑volume data platforms. Compensation and Benefits • Competitive salary and performance-based bonus., • Comprehensive health, dental, and vision insurance., • Retirement plan, • Professional development and training opportunities., • Flexible work arrangements and generous paid time off. Location • On-site, • This position will be based at the Polaris Wireless Headquarters located in Santa Clara, California, USA.

• Role: Engagement Manager – Credit Strategy, • Location: San Francisco, CA (Hybrid - min 3 days/week in office) As the Engagement Manager – Credit Strategy, you will design, deploy, and optimize end-to-end credit strategies that balance growth, profitability, and credit risk for a small-business lending portfolio. You will develop policy frameworks for approvals, segmentation, limits, and pricing; embed forward-looking risk signals; and build monitoring to keep portfolio performance within loss tolerances. You will partner with client and internal leaders across Risk, Product, Engineering, and Underwriting to operationalize decisioning, enable rapid experimentation, and create resilient portfolios that are attractive to debt investors on a risk-adjusted basis. • Design and deploy innovative approval, qualification, and segmentation strategies that maximize application approval rates while achieving credit loss targets, • Develop and maintain underwriting policies that define minimum acceptance criteria and policy declines for segments outside client's risk appetite, • Create statistically grounded credit limit assignment frameworks that optimize lifetime customer value while managing downside risk, • Design pricing and interest rate strategies, including testing frameworks, to ensure adequate loss coverage, strong borrower selection, and high customer take-up rates, • Optimize data collection strategies by balancing the information value of data against customer friction and operational cost, • Partner closely with the manual underwriting team to build a hybrid risk framework that integrates analytical strategies with expert manual review, ensuring consistent execution and continuous feedback loops. This would require innovative credit strategy tooling to create differentiated credit pathways for applications based on their profile, loan amount exposure and complexity of underwriting required, • Collaborate with Product, Engineering, and Data Science teams to design and deploy scalable infrastructure that enables rapid iteration and refinement of credit strategies, • Establish robust portfolio monitoring and reporting processes to track approval rates, credit performance, and risk metrics against expectations, • Apply a thoughtful, forward-looking approach to portfolio construction to ensure assets are resilient across economic cycles and attractive to debt investors on a risk-adjusted basis, • Incorporate macroeconomic trends and forward-looking risk signals into credit strategy to ensure ongoing relevance in evolving market conditions Candidate Profile: • 7+ years of hands-on experience designing, calibrating, and managing credit strategies for cash advance / short-duration small business credit products; prior MCA credit strategy experience, • Strong experience overseeing model deployment, execution, and monitoring within a production environment; ML Ops experience is highly preferred, • Master's degree in Data Science, Statistics, Economics, Finance, or a related quantitative discipline, • Strong SQL and Python proficiency; ability to work with large datasets and build reproducible analytical workflows., • Excellent communication, presentation, and story-building skills in a consulting/client-facing setup., • Demonstrated ability to lead cross-functional initiatives end-to-end and coordinate with offshore delivery teams., • Bachelor's degree in a related quantitative field such as Data Science, Statistics, Mathematics, Economics, Finance, or Engineering required., • Master's degree in Data Science, Statistics, Economics, Finance, or a related quantitative discipline is a plus

Role: Engagement Manager - Credit Risk Strategy Location: Bay Area Type: Hybrid (2-3 days from office) Roles & Responsibilities As a Senior Risk Strategy Leader, you will lead the design and execution of enterprise-scale, data-driven financial risk and fraud strategies across money movement products. You will own strategic risk policy direction and oversee the end-to-end policy lifecycle — from opportunity identification and hypothesis development to testing, deployment, monitoring, and optimization — leveraging large-scale data to balance risk mitigation, customer experience, and sustainable business growth. You will serve as a strategic partner to senior leadership and collaborate cross-functionally to drive scalable risk solutions and respond to critical business and risk events. • Lead the development and execution of financial risk and fraud strategies supporting key business initiatives and rapidly evolving risk environments, • Provide strategic oversight during high-severity and time-sensitive risk incidents, driving coordinated response and mitigation actions, • Leverage advanced analytics, statistical modelling, and deep domain expertise to design scalable risk frameworks using large-scale transactional and account-level data, • Own and optimize the end-to-end risk strategy and policy lifecycle: opportunity identification, strategy design, experimentation, deployment, governance, monitoring, and continuous improvement, • Drive portfolio-level risk management strategies across underwriting, fraud, credit, and money movement products while balancing risk, growth, and customer experience objectives, • Partner with senior stakeholders across Data Science, Risk Operations, Product, Engineering,, • Finance, Compliance, and Analytics teams to influence strategic decisions and business outcomes, • Lead segmentation strategy development, portfolio analytics, and performance deep dives to identify emerging risks and growth opportunities, • Design and refine underwriting frameworks, credit limits, eligibility policies, and customer risk segmentation strategies, • Establish scalable monitoring frameworks and governance processes to proactively manage portfolio trends, concentration risks, and segment-level performance, • Drive hypothesis-led innovation and experimentation to improve approval rates, reduce losses, and enhance operational efficiency, • Mentor and guide junior analysts and strategy team members, fostering analytical excellence and strategic thinking across the organization, • Communicate complex analytical insights and strategic recommendations effectively to executive leadership and cross-functional stakeholders Key Business Problems / Use Cases: • Enterprise-scale underwriting, credit policy, and eligibility strategy optimization, • Portfolio risk management, concentration risk assessment, and performance monitoring across customer segments, • Fraud strategy design and money movement risk mitigation across payment ecosystems, • Financial loss forecasting, behavioural modelling, and risk-adjusted growth optimization using payments, card/ACH, and account-level data, • Hypothesis-driven strategy development and experimentation to improve customer outcomes and portfolio profitability, • End-to-end risk policy lifecycle management: strategy design experimentation deployment governance optimization, • Scenario modelling and impact assessment for new products, market expansions, and policy changes, • Cross-functional strategic planning to balance growth, operational efficiency, compliance, and risk exposure, • Extensive experience in risk strategy, credit policy, underwriting, fraud strategy, or financial analytics within financial services or fintech environments, • Proven track record of leading large-scale analytical initiatives and influencing strategic business decisions, • Strong expertise in leveraging large datasets and advanced analytical techniques to solve complex business and risk problems, • Advanced proficiency in SQL and Python for analytics, modelling, and strategy implementation, • Deep experience in statistical modelling, forecasting, risk analytics, and experimental design, • Strong business acumen with the ability to translate complex analytical insights into actionable strategic recommendations, • Excellent executive communication, stakeholder management, and cross-functional leadership skills, • Experience operating in fast-paced, high-growth, and highly regulated environments, • Demonstrated ability to mentor teams, drive collaboration, and influence senior leadership Candidate Profile: Preferred Qualifications: • Bachelor's degree in quantitative fields such as Data Science, Statistics, Mathematics, Economics, Finance, or Engineering, • Master's degree or MBA in a quantitative or business discipline preferred, • Experience in financial services, fintech, banking, payments, or risk management domains, • Exposure to money movement products, payment ecosystems, fraud operations, or lending platforms, • Experience building scalable risk frameworks, governance models, and automated decisioning systems, • Familiarity with modern data platforms, BI tools, and large-scale experimentation frameworks

Position : SQL Developer Location : Hybrid (3 days a week at Santa Clara, CA) Duration : 6 to 12 month with possible extension Client is looking to Migration to support Certinia to Clarizen. Job Description: Skilled SQL Developer with strong experience in database scripting and data migration projects using Microsoft SQL Server. The ideal candidate will have hands-on expertise in designing, developing, and executing data migration strategies, ensuring data integrity, performance optimization, and seamless system transitions. • Develop, write, and optimize complex SQL scripts, stored procedures, functions, and triggers., • Design and execute data migration strategies, including data extraction, transformation, and loading (ETL)., • Perform data mapping, validation, and reconciliation to ensure accuracy and consistency during migrations., • Work extensively with SQL Server (SQL DMP / Data Migration Platform) tools and utilities., • Analyze existing database structures and support data transformation and integration activities., • Troubleshoot and resolve data-related issues, performance bottlenecks, and query inefficiencies., • Ensure data quality, integrity, and security throughout the migration lifecycle., • Collaborate with cross-functional teams, including business analysts, application developers, and stakeholders., • Create and maintain technical documentation for scripts, processes, and migration activities., • Support testing, deployment, and post-migration validation activities. Please review the detailed requirement and if you are interested in this position reply with your most updated resume along with the LinkedIn profile.

12-month contract with possible extension for a Datacenter Hardware Engineering Technician in Santa Clara, CA (3 days per week onsite) *We can only consider candidates local to Santa Clara, CA* Requirements: • Associate’s or Bachelor’s degree in a technical field, and 4+ years of equivalent experience in a lab or datacenter environment., • Ability to work independently without requiring constant supervision., • Advanced knowledge of Windows operating systems., • Basic experience with PowerShell and/or CMD scripting., • Strong teamwork skills and the ability to collaborate with colleagues of varying skill levels., • Persistence in debugging complex issues and the ability to think creatively to solve problems, • To succeed in this role, you should enjoy working with close-knit, multidisciplinary teams and be comfortable with hands-on work involving state-of-the-art platforms., • Knowledge of Linux/Unix systems., • Basic experience with Python or Go., • Familiarity with Git or Perforce for checking out, editing, and checking in scripts., • Ability to write SQL queries to retrieve data from MySQL databases.

Job Role: MLOPS Engineer Location: Sunnyvale, CA Salary: 140K/Annual Primary Skills: Advance SQL, Deep Learning, MLOPs, Data Pipelines, Agentic AI, Machine Learning, Python, Deploy model & Feature Engineering Required Skills & Experience • Strong experience with MLOPs, Agentic AI , Machine Learning & Python programming., • Deep hands on expertise with Deep Learning, Data Pipelines & Advance SQL, • Technical Proficiency Deploying models & Feature Engineering., • Familiarity with CI/CD pipelines, observability, and secure service operations., • Ability to work independently, own deliverables end to end and leave high quality documentation.

Job Title: Forward Deployment Engineer Role Descriptions: • Deployment Engineer-Hands-on senior engineer working directly with Supply Chain customers and business stakeholders to deploy| customize| and scale solutions. Acts as a bridge between business needs and technical implementation., • Key Responsibilities: Partner with customers to understand business needs and translate them into technical solutions., • Deploy| customize| and optimize solutions in real-world environments. Lead architecture| troubleshooting| and performance improvements., • Collaborate with product and engineering teams to drive enhancements. Serve as a trusted technical advisor and mentorRequirements8 years in software engineering solutions technical consulting., • Strong hands-on coding system design experience. Experience using AI GenAI| Automation and Tooling for solving Business problem., • Experience working directly with business stakeholder’s customers. Proficiency in working with AI Solutions| Data Engineering and Python (e.g.| Python| SQL|Snowflake|), • Excellent communication and problem-solving skills. Supply Chain Procurement knowledge is good to have Skills: Digital: Python~Digital : Artificial Intelligence (AI)~Digital: Google Data Engineering

Data Analyst (Tableau, SQL, Python) Prefer candidates who can work on W2 (No for C2C arrangements) Onsite in Sunnyvale, CA / Austin, TX / Elk Grove, CA from Day 1 (Client prefer local folks) Hybrid Schedule: 3 Onsite Days (Tue, Wed, Thur) & 2 Remote Days (Mon, Fri) Long term contract Direct client opportunity No mid layer / No Implementation partners are Involved Job Description: • Clients focus more on Business Intelligence skills, less complex analysis., • Please make sure that candidates have been using Tableau, SQL, and Python on a weekly basis for the past 5+ years, • Excellent communication is essential, • Requires working knowledge of probability theory and statistical analysis. This role will: • Use Tableau to create visualizations to be used in interactive dashboards and presentations., • Use SQL to manipulate and prepare data, • Use Python to manipulate and prepare data; create visualizations; analyze data., • Require a working knowledge of formal statistical analysis and causal modeling., • Require excellent communication skills Skill Sets – Experience – Preference • Tableau - 5-10 years - Is Required, • SQL - 5-10 years - Is Required, • Python - 5-10 years - Is Required, • Statistical analysis - 5-10 years - Is Required, • Verbal Communication - 5-10 years - Is Required, • Written Communication - 5-10 years - Is Required, • Attention to Detail - 5-10 years - Is Required Pay Range: $65/hr - $70/hr The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 214-740-2424. To report any concerns, please email us at legal@pinnacle1.com

Company Overview: “Always the Best, Always Fun!” DISCO Corporation is a global powerhouse in precision cutting, grinding, and polishing solutions, with a reputation for excellence across the semiconductor, medical devices, and electronic component industries. Headquartered in Tokyo, Japan, we are a forward-thinking company with a strong presence in 60+ locations worldwide with a diverse team of 7,000+ employees. Our success is driven by our core DISCO values that emphasize trust, continuous innovation, and an unwavering commitment to quality. At DISCO, we pride ourselves on fostering an inclusive culture where employees thrive, grow, and contribute to shaping the future of technology. DISCO Corporation’s U.S affiliate, DISCO Hi-Tec America, Inc. (DHA), is looking to expand our Technical Services team! We are currently people who bring fresh perspectives, new ideas, and unique skills to join us as a Process Application Engineer in our San Jose, CA office. Job Title: Process Application Engineer Job Type: Full Time, Onsite Location: San Jose, CA Salary: $55,000 – 65,000 This is a full-time position with benefits including Bonuses, Insurance (Medical, Dental, Vision, Life), Health Savings Account, 401(k), Paid Time Off, Paid Holidays. Key Responsibilities: • Use DISCO equipment to prototype, optimize, and troubleshoot precision processes in the areas of device grinding or singulation. Characterize processing results. Draw conclusions based on processing data. Deliver singulation or grinding processes that can be integrated into semiconductor fabrication process flows., • Design and perform grinding or singulation experiments for various materials based on input from DISCO’s clients, such as, semiconductor wafers, electronic packages, or medical device components. Understand DISCO equipment instrumentations during processing. Concisely summarize and analyze results, and compile technical documentation reports, • Troubleshoot complex challenges with limited supervision. Perform Root Cause Analyses to achieve fundamental understanding on defects, resulting in innovative solutions., • Generate technical reports, process documentations, operating procedures, and high-level summary presentations to the management, • Become a reliable consulting resource for customers. Interact with customers to understand overall fabrication integration, process control methodologies, and gain insights to product roadmaps, • Prototype new equipment hardware or software components for internal learning, • Participate and contribute to DISCO corporate activities focusing on continuous improvement, deeper thinking, and value exchange., • Perform additional tasks as assigned. Preferred Experience and Qualifications: • Bachelor of Science degree in engineering, physical sciences, industrial operations or relevant work experience, • General computer programming. Proficiency with Windows PC, • Business communication. Technical writing and presentation skills, • Materials science; solid state physics; semiconductor wafer fab processing experience, • Ability to handle fragile materials, • Comfortable standing and working in a lab or cleanroom environment, • Able to run statistical analysis, • High-level software/programming knowledge; C/C++/C#; SQL/Python; CAD is a plus, • Japanese language skill is a plus. Physical Requirements: • Job duties are mostly performed in cleanroom environment, sometimes in awkward positions., • Role involves a combination of remaining in a stationary position and moving about for extended periods., • May require bending, stooping, and working in varied physical positions to access hard to reach areas on equipment., • Lift and carry or otherwise move at least 30lbs., • Wear personal protective gear for extended periods and use proper safety procedure when working with delicate materials, hazardous chemicals, moving mechanical parts, etc. Interpersonal Skills: • Clear, concise, and effective communication skills to interact with colleagues, customers, and leadership., • A high degree of self-motivation and creativity, with the ability to perform under pressure, even in challenging situations., • A natural ability to build strong relationships, maintaining trust and teamwork within a global company, building upon DISCO’s culture to help build an inclusive work environment., • Willingness to lead peers on projects and act as a resource for colleagues. "We are not accepting unsolicited resumes from recruitment agencies." DISCO Hi-Tec America, Inc. is committed to Equal Employment Opportunity and diversity in its workforce without discrimination

ROLE SUMMARY Own the performance and growth of Alibaba.com's priority B2B categories in the US market. The mandate is simple: grow category GMV by rigorously evaluating both sides of the marketplace — the quality and competitiveness of our seller supply, and the depth and conversion of buyer demand. Every category decision must be data-driven, commercially anchored, and actionable. KEY RESPONSIBILITIES ▸ Category GMV Ownership: Track and drive GMV growth for 8–12 priority US B2B categories (e.g., home furnishings, industrial components, apparel, packaging). Own the category scorecard: GMV, active buyers, RFQ volume, conversion rate, and average order value — refreshed weekly ▸ Seller / Supplier Evaluation: Assess supplier pool quality by category — coverage depth, listing quality scores, RFQ response rates (<24hr target), pricing competitiveness vs. domestic distributors, and Trade Assurance participation. Identify where supplier gaps are suppressing buyer conversion and quantify the GMV upside from closing each gap ▸ Buyer Demand Analysis: Analyze US buyer search intent, RFQ patterns, and sourcing behavior by category. Identify demand signals ahead of peak seasons (using US import data, Google Trends, internal search volume). Map where buyer demand exists but supplier supply is insufficient — and vice versa ▸ Supply-Demand Gap Programs: Design targeted interventions for supply-demand mismatches: work with Supplier BD to recruit missing supplier types, work with Marketing to activate latent buyer demand, and define category-specific promotions that improve liquidity ▸ Competitive & Tariff Analysis: Benchmark Alibaba.com's category competitiveness vs. domestic sourcing alternatives — model landed cost (FOB + freight + duty) for representative SKUs. Monitor Section 301 tariff dynamics and assess impact on category price competitiveness REQUIRED BACKGROUND — WHAT WE'RE LOOKING FOR ▸ Category / Merchandising Analytics: 2–4 years in category management, merchandise planning, retail buying analytics, or marketplace category operations — with direct GMV or revenue accountability. Pure finance or generalist strategy backgrounds will not be considered without this anchor ▸ Supply + Demand Side Thinking: Must demonstrate experience evaluating both sides of a category: seller/supplier quality assessment AND buyer demand analysis. Single-sided experience (e.g., only vendor management or only consumer insights) is insufficient ▸ Trade Data Fluency: Familiarity with US import/export data sources (USITC DataWeb, Census Bureau trade stats, ITC Trade Map) and ability to pull HS-code-level data to size category import volumes. Tariff and landed cost modeling experience is a strong differentiator ▸ Analytics Stack: SQL required. Excel/Google Sheets modeling (pivot tables, VLOOKUP-level minimum; index-match and scenario modeling preferred). Tableau or Looker a plus ▸ B2B / Wholesale Context: Experience in B2B or wholesale categories — understanding reseller, distributor, or procurement buyer economics — strongly preferred over pure D2C or retail consumer experience The pay range for this position at commencement of employment is expected to be between $126,000/year and $207,600/year. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.