Production Tech Jobs

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! We’re looking for a Research Scientist to advance how high-quality data and environments for AI agents are created. You’ll build and optimize pipelines that combine real-world data, automated generation, and human expert input. Working with domain experts, academic partners, customers, and our product and engineering teams, you’ll scale these pipelines to target frontier model performance gaps and expand data and environment diversity. Your work will amplify human knowledge and judgement, enabling experts to create and refine data and agentic environments that strengthens Snorkel’s position as the frontier data lab. This role is ideal for someone who wants to advance frontier AI through data and environment creation and enjoys turning research into reusable, scalable systems. Location: San Francisco, New York, OR REMOTE Main Responsibilities Design, implement, and optimize reusable pipelines that combine AI capabilities with expert judgment to accelerate data and agentic environment creation. Design and run rigorous experiments to validate proof-of-concept approaches, measure their impact on data quality, pipeline efficiency, and model performance, and communic

Experienced Supply Chain Management Analyst Company: Boeing Aerospace Operations Boeing Global Services is seeking an experienced Supply Chain Management Analyst (Level 3) to support our business in San Antonio, TX The Supply Chain Analyst will have responsibility across all airplane programs. This position will incorporate change and planning decisions to arrive at optimal solutions. The Statement of Work includes standard Supply Chain Management functions, data analysis, forecasting, supply and/or demand troubleshooting, and additional duties as assigned. Our teams are currently hiring for a broad range of experience levels including Mid-Level or Senior Supply Chain Management Analysts. Position Responsibilities: Incorporates change and planning decisions to arrive at optimal solutions. Applies Supply Chain Management (SCM) methodologies to ensure coordination in the global supply chain. Analyzes complex material requirements. Verifies and incorporates Bills of Material/schedules into a production plan. Determines part number attributes. Initiates, coordinates and authorizes release of orders by evaluating system requirements and resource availability. Ensures on-time delivery. Documents and resolves order delinquencies. Reports schedule adherence issues. Develops and controls inventory plans. Optimizes inventory levels. Analyzes and dispositions excess inventories. Initiates audits. Develops and creates schedules for products and services. Assists in developing estimates and schedules for new business proposals. Implements and maintains process improvements by analyzing and establishing best practices for mate

The Branch Manager SAFE Act is a senior management professional responsible for providing full leadership and direction to a team of employees, grow sales and client base in coordination with the consumer sales team . The overall objective of this role is to lead a team grow sales, build customer loyalty and recommend the development of business strategies or initiatives and may include the management of activities by external organizations, and the direct management of individuals and sales teams. Responsibilities: Develop a sales plans and drive individual production goals, including building referral network and relationships with internal partners and external contacts Create an environment through activity-based coaching and performance development and implement/execute coaching plan to develop employee’s skill set to achieve personal/branch goals Develop and execute integrated sales, relationship, and credit strategies that are aligned with the Retail Bank's priorities, execute business plan to achieve expected goals in all business categories Support portfolio growth by identifying opportunities to deepen relationships and increase client acquisition and ensure clients receive optimal service and monitor/adhere to operational controls Collaborate with branch partners to successfully achieve goals, build customer relationship and deliver customer service Leverage workforce planning tool to optimize staffing in branches and set expectations for branch staff, fostering an environment in which team members work together to achieve all business goals Integrate segment partners, partner with Assistant Manager and partner with the Division Operational to drive sales and drive outbound sales activities including: representing Citi and building partnerships in the community Conduct daily proof processes to ensure adherence to operational requirements; investigate control

The Loan Processing Manager provides leadership and direction to a medium-sized team of employees. In-depth knowledge of all of the core functional areas of Fulfillment and key regulations as well as well versed in credit policy, collateral, legal & compliance. Plays a critical role in ensuring that business controls are adhered to thereby mitigating risk to the company. The role is critical in managing teams and pipeline to ensure adherence internal and external client experience for optimal client experience. Responsibilities: Direct responsibility for a team of loan processing specialists who will perform overall client relationship management including reviewing the loan to ensure credit conditions are met and assisting clients through the balance of the process. Management duties include performance evaluation, compensation, hiring, disciplinary actions as well as direction of daily tasks and responsibilities. Guides the team to meet production goals while ensuring the level of expected service, quality and integrity of the loans are maintained. Takes ownership of MCAs, CAPS and Action Plans for Processing area and frequently presenting progress, challenges and performance results of the team, the channel or processing team to peers, senior leaders and partners in various forums. Influence decisions through advice, counsel, facilitating services to other or through joint accountability for volume, quality and timeliness of end results. Assists processors with complex transactions by providing experience, knowledge and resources in order to guide the processor through the correct steps, questions that arise and approvals needed. Added complexity could be the result of self-employed borrower or unique income sources, Condo/Coop requirements, Government and Investor requirements, market nuances, et al. Assists processors with escalated client complaints and resolutio

Work Flexibility: Hybrid What you will do - As a Supply Planner, you will develop and maintain end-to-end supply plans for assigned manufacturing sites and third-party suppliers within your franchise. You will partner closely with Production, Procurement, Finance, Integrated Business Planning (IBP), Customer Service, and site leadership to ensure a balanced, data-driven approach to supply planning. You will play a key role in aligning supply, capacity, inventory, and demand strategies to support business objectives, service requirements, and long-term growth. Working cross-functionally with Operations, Engineering, Quality, and divisional teams, you will help ensure the right product is available at the right place and time while optimizing inventory and resource utilization. Create a Master Resource Plan based on the latest demand signal to cover what needs to be produced or purchased as a finished product and ensure that within the process there is sufficient raw materials and components to support the required supply plan up to 24 months’ time horizon Create capacity plans based on the latest demand signal and identify where there is any potential bottlenecks or risks to supply and to develop and recommend appropriate proposals to mitigate and to ensure that the plant or 3rd party can meet the future demand Identify where there is significant underutilization which could impact the costs of supply Develop a supply plan across a complex portfolio and multiple sites if required as franchise maturity develops Work on capability building as part of cross functional teams and add expertise in creating the optimal solutions Set the correct levels of inventory within the supply plan by understanding the demand volatility and supply chain lead times Create a safety stock strategy and plan that enables cont

About Bolna Bolna is a YC-backed voice AI orchestration platform built for the Indian market—powering multilingual, vernacular voice agents across Hindi, Hinglish, Tamil, and 10+ languages at sub-500ms latency across collections, recruitment, sales, and e-commerce use cases. We are an orchestration layer, not a model company: our moat is outcome-labelled vernacular data, rigorous evaluation infrastructure, and a growing taxonomy of how Indian enterprise voice AI fails in production. Why This Role Exists Product decisions at Bolna increasingly hinge on rigorous, code-mixed-aware data analysis—and not just one kind. On one side, there is model and evaluation rigor: LLM benchmarking for post-call intelligence, ASR/WER evaluation, inter-rater reliability on human-labelled calls, and routing and latency economics. On the other, there is product and growth insight: understanding where self-serve users drop off in their journey, what patterns emerge across lakhs of monthly calls, and which use cases and configurations are actually working. Both currently sit with the Head of Product alongside strategy and roadmap ownership. We need a dedicated analyst to own the execution and recurring cadence across both-freeing product leadership to act on findings rather than produce them. What You’ll Do Model and Evaluation Analysis LLM and model benchmarking: Run structured comparisons across model providers such as Sarvam, DeepSeek, Gemini, and Claude variants for tasks including post-call extraction and LLM-as-judge scoring. Evaluate cost, accuracy, fill rate, and TTR, with particular attention to Hinglish and code-mixed content. Evaluation infrastructure: Build and maintain LLM-as-judge pipelines using tools such as DeepEval, design and track evaluation metrics, and run inter-rater reliability analysis such as Krippendorff’s alpha across human call reviewers. Golden dataset creation: Support the construction of golden datasets for ASR and transcript labelling, including flagging co

Enterprise Advanced is a distributed team across Europe and India that builds the software running MongoDB on any infrastructure, at global scale — from on-prem data centers to private cloud. You'll work primarily on Ops Manager and Automation, the systems that let customers deploy fault-tolerant, globally distributed MongoDB clusters in minutes. Our software manages some of the largest self-managed MongoDB deployments in the world, with production clusters running hundreds of shards and nodes under a single deployment. The main focus of this team is to adapt our software to manage MongoDB clusters which are deployed in data centers or private cloud platforms. You will work on the core functionality for all of our products, mainly on the Ops Manager , and Automation products. Our team's end users are some of the largest businesses in the world, deploying massive clusters and processing huge amounts of data. This role is based in our Gurgaon office, and can work in a hybrid fashion. This role will report to the Senior Engineering Manager also based in our Gurgaon office. What you’ll do Design, implement, test, and release features for Ops Manager Own end-to-end delivery of complex projects, from design through incremental shipping Troubleshoot and resolve issues surfaced in customer deployments running at scale Apply engineering judgment and MongoDB's core values across planning, design, and code review A great fit for this role will be You enjoy distributed-systems problems; consistency, fault tolerance, and scale are the daily reality, not edge cases People who like ambiguity and are comfortable defining their own approach with guidance, not step-by-step instruction You're flexible! You're willing to take on a wide variety of responsibilities, learning as you go You're a self-starter! You're comfortable organizing your own time, acting on feedback and prioritizing with guidance from senior members of your team Requirements 4+ years experience with a language

Job Overview We are looking for an Analytics Engineer who will own dbt Cloud in our organisation and maintain the analytics pipelines built on top of it. You will administer dbt Cloud across multiple independent projects, keep our business-critical pipelines running (including finance data models), and support analysts in other teams as a mentor and go-to person for dbt. Our stack is Snowflake, dbt and AWS, with Python for tooling and automation. We are also building AI-assisted and agentic workflows into our daily work, and you will take an active part in this. Reports to Director of Mobile and New Games What will you do? Administer dbt Cloud for the whole organisation: project setup, environments, permissions, CI/CD, version upgrades and cost control Set up and support multiple independent dbt projects, define common standards and conventions so teams stay aligned Develop and maintain production dbt pipelines, including complex finance models where accuracy and trust are critical Mentor analysts on dbt, SQL modeling, testing and code review Tune Snowflake performance and cost, improve pipeline reliability and monitoring Build tooling and automation in Python (AWS Lambda, S3, orchestration, metadata workflows) Drive AI adoption in our analytics engineering work: build common AI skills for dbt development (documentation, testing, code generation) and automated agentic workflows that the whole team can reuse Follow current trends in AI tooling and agentic systems, evaluate new approaches and bring the useful ones into the team What are we looking for? 4+ years of experience in analytics engineering, data engineering or a similar role Strong hands-on dbt experience, ideally including dbt Cloud administration (projects, environments, jobs, CI/CD), not only model development Strong SQL and data modeling skills Production experience with Snowflake, including performance tuning and cost awareness Python for data tooling and automation Experience with AWS services used in

Job Overview We are looking for an Analytics Engineer who will own dbt Cloud in our organisation and maintain the analytics pipelines built on top of it. You will administer dbt Cloud across multiple independent projects, keep our business-critical pipelines running (including finance data models), and support analysts in other teams as a mentor and go-to person for dbt. Our stack is Snowflake, dbt and AWS, with Python for tooling and automation. We are also building AI-assisted and agentic workflows into our daily work, and you will take an active part in this. Reports to Director of Mobile and New Games What will you do? Administer dbt Cloud for the whole organisation: project setup, environments, permissions, CI/CD, version upgrades and cost control Set up and support multiple independent dbt projects, define common standards and conventions so teams stay aligned Develop and maintain production dbt pipelines, including complex finance models where accuracy and trust are critical Mentor analysts on dbt, SQL modeling, testing and code review Tune Snowflake performance and cost, improve pipeline reliability and monitoring Build tooling and automation in Python (AWS Lambda, S3, orchestration, metadata workflows) Drive AI adoption in our analytics engineering work: build common AI skills for dbt development (documentation, testing, code generation) and automated agentic workflows that the whole team can reuse Follow current trends in AI tooling and agentic systems, evaluate new approaches and bring the useful ones into the team What are we looking for? 4+ years of experience in analytics engineering, data engineering or a similar role Strong hands-on dbt experience, ideally including dbt Cloud administration (projects, environments, jobs, CI/CD), not only model development Strong SQL and data modeling skills Production experience with Snowflake, including performance tuning and cost awareness Python for data tooling and automation Experience with AWS services used in

We are seeking a detail-oriented PCB Layout Engineer to maintain electronic component libraries and develop printed circuit board layouts. This role works closely with electrical engineering, mechanical engineering, procurement, and NPI to ensure component data and PCB designs are accurate, consistent, and ready for production. This position is in Austin, Texas. Key Responsibilities Create, verify, and maintain schematic symbols, PCB footprints, and associated 3D models. Validate component pin assignments, dimensions, land patterns, and library attributes against manufacturer documentation. Maintain library naming conventions, revision control, and component approval processes. Develop PCB layouts from approved schematics, including component placement, routing, stackup coordination, and design rule setup. Collaborate with engineers to address electrical, mechanical, thermal, and manufacturing requirements. Run design rule checks, resolve layout issues, and participate in design reviews. Prepare fabrication and assembly deliverables, including Gerber or ODB++ files, drill files, drawings, and pick-and-place data. Coordinate with PCB fabricators and assembly suppliers to resolve manufacturing questions. Support engineering changes and maintain accurate release documentation. Work with procurement and engineering to identify obsolete components and evaluate suitable alternatives. Required Qualifications Experience with setting up PCB design and electronic component library management. Proficiency in Cadence Allegro/OrCAD. Ability to interpret schematics, component datasheets, and mechanical drawings. Working knowledge of PCB fabrication, assembly processes, and design for manufacturability. Familiarity with relevant IPC standards for PCB design and component land patterns. Strong attention to detail, documentation skills, and ability to manage competing priorities. Experience with multilayer, high-density, mixed-signal, and high-speed PCB designs. Familiarity w

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for a Rack Power Engineer with deep expertise in high-power conversion and distribution to design, qualify, and support power systems for AI supercomputers. You will own rack power solutions—including power shelves, AC/DC rectifiers, power supply units (PSUs), power management controllers (PMCs), and high-current distribution—from requirements and supplier development through deployment. You will also monitor fleet rack power health, lead debugging and root-cause investigations, and drive improvements into hardware, firmware, and qualification coverage. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Own rack power architecture and requirements for high-power AI supercomputing systems, including power budgets, AC input interfaces, DC distribution, redundancy, efficiency, serviceability, and integration with data center infrastructure. Drive the design and supplier development of power shelves, rectifiers, PSUs, PMCs, busbars, connectors, and protection circuits. Review electrical designs and control behavior, and evaluate performance, cost, reliability, and availability trade-offs. Define and execute component, shelf, and rack qualification plans covering load transients, current sharing, hot-swap, startup and shutdown, redundancy failover, fault protection and recovery, thermal limits, and AC disturbances and ride-through

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. About Modal Data: We’re growing our Data team and are looking for our first few key hires to build self-serve data tools and drive business strategy in the right direction. The mission of the Modal Data team is to make it easy to track company goals, make evidence-backed decisions, and prioritize the right work. We do this via: Self-serve AI analytics tools (Hex, Snowflake) Embedding with teams as a “data adviser”, providing strategic analysis and consulting What You'll Do: Contribute to building the most modern analytics stack in Data today to support AI-driven self-serve analysis, key metrics tracking, and external customer reporting Influence work on new products like LLM Inference Endpoints through product analytics tracking Identify millions of dollars of cost savings and optimization across our tools and financial operations Write data pipelines that power the operatio

Supply Chain Management Analyst Company: The Boeing Company The Boeing Commercial Airlines (BCA) Supply Chain team is seeking a highly skilled Supply Chain Management Analyst (Level 3 or 4) to join our 787 Supply Chain Team in North Charleston, South Carolina on 1st Shift . The Supply Chain Management Analyst will incorporate change and planning decisions to arrive at optimal solutions as well as apply Supply Chain Management (SCM) methodologies to ensure coordination in the global supply chain. Position Responsibilities: Incorporates change and planning decisions to arrive at optimal solutions Applies Supply Chain Management (SCM) methodologies to ensure coordination in the global supply chain Analyzes complex material requirements Verifies and incorporates Bills of Material/schedules into a production plan Determines part number attributes Initiates, coordinates and authorizes release of orders by evaluating system requirements and resource availability Ensures on-time delivery Documents and resolves order delinquencies Reports schedule adherence issues Develops and controls inventory plans Optimizes inventory levels Analyzes and dispositions excess inventories Initiates audits Develops and creates schedules for products and services Assists in developing estimates and schedules for new business proposals Implements and maintains process improvements by analyzing and establishing best practices for materials management to improve SCM performance Works under general direction

Become a part of our caring community The Grievances and Appeals Representative 4 role in the Internal Review Team is responsible for managing appeal denials, by reviewing clinical documentation, determining whether further action is needed, and validating final determinations in coordination with clinical and internal Humana partners. Key Responsibilities: Manage Level 1 appeal cases , ensuring accuracy, completeness, and compliance with CMS requirements Review clinical documentation to support appeal determinations and escalation decisions Coordinate with clinical teams and internal partners to finalize appeal outcomes Investigate and resolve member and provider issues with a focus on timely resolution Maintain high productivity and quality standards in a production-driven environment Ensure strict adherence to confidentiality and compliance regulations Independently prioritize and manage multiple high-volume case assignments Proactively embraces change and supports smooth transitions in a dynamic work environment Use your skills to make an impact Required Qualifications: 1+ year of grievance & appeals and/or customer service experience Strong data entry skills Proficiency in Microsoft Office Applications Experience in a production-driven environment Experience prioritizing and delivering multiple assignments Strong commitment to confidentiality and high-quality results Preferred Qualifications: Associate's or Bachelor's degree 2–4 years of grievance and appeals experience Medical claims processing experience Previous inbound call center experience Experience wi

Build the infrastructure that keeps every NVIDIA chip aligned from first spec to final shipment. NVIDIA's Silicon Co-Design Group sits at the convergence of architecture, silicon, systems, and manufacturing. The System–Manufacturing Architecture (SMAC) team coordinates between system specifications and manufacturing test specifications from pre-silicon POR through production release across GPU, SoC, and CPU programs. When that alignment drifts, silicon faces the consequences: escapes, yield loss, and performance loss. We're hiring a Senior Manufacturing & System Co-Design Workflow Engineer to lead the methodology and infrastructure that maintains holistic, systematic alignment, at scale across the full portfolio. The strongest candidates in this role design the workflow before being asked to fix a program, and build the checks and automation that confirm alignment holds long after they've moved on to the next problem. What you’ll be doing: SMAC Workflow Methodology: Define manufacturing spec types, including schema and semantics, derived from system PORs and features. Own the methodology that governs how specification work gets structured, versioned, and validated across the program lifecycle. Production Python Pipelines & Automated Checks: Develop production-grade Python pipelines and automated checks that catch specification drift between system POR and manufacturing test programs ,ATE, SLT, BLT, L10+, before silicon exposes the discrepancy. The goal is that misalignments surface in the workflow, not on the tester. E2E Program Integration & TPM Attestation: Wire SMAC work into the end-to-end program spine, milestones, gates, and artifacts, and define explicit TPM-driven attestation when checks lag. Alignment can't be assumed; it must be proven at every stage. Agent-Ready Tooling & CI Infrastructure: Integrate tooling into an agent-ready