Jobs in United States

Human Resources in United States

1,081 active opportunities · Updated October 2026

Explore current human resources jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.

O
📍 San Francisco, California, United States· Full-time· Remote
✓ High-confidence listingCompany trend -82%
Quick readStrong listing-quality and freshness signals

About the role As a Pricing Strategist focused on GTM, you will help shape pricing strategy for B2B enterprise customers across our product portfolio. Working within Finance and partnering with GTM, Sales, and Product, you will focus on pricing analytics, price performance, and the effectiveness of credit programs while contributing to broader commercial strategy. In this role, you will Build regular pricing-performance reviews, analyze discounting and concessions, and turn findings into better pricing guidance. Develop commercial strategies and pricing programs for customer segments such as education, startups, and government. Define objectives and success measures for credit programs and promotions, and evaluate their return on investment. Translate segment goals and product pricing strategy into scalable pricing frameworks and commercial structures. Partner on strategic enterprise deals to align commercial proposals with sound deal economics and pricing strategy. You might thrive in this role if you Approach problems from first principles, identify root causes, and develop clear options for stakeholders. Work effectively through ambiguity and differing perspectives. Understand how sales organizations operate and collaborate well across GTM strategy, Finance, and Product. Bring relevant experience from consulting, strategy and operations, or pricing, particularly work involving analytical teams. Experience with pricing analytics, pricing frameworks, discounting guardrails, or new-product pricing is helpful, but a strictly pricing-specific background is not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we mu

Artificial IntelligenceAIFinance
O
📍 San Francisco, California, United States· Full-time
✓ High-confidence listingCompany trend -82%
Quick readStrong listing-quality and freshness signals

About the role We are hiring a Manager, Revenue Accounting focused on enterprise revenue to provide hands-on accounting support within Controllership. You will help the team meet the demands of a growing enterprise business through journal entries, reconciliations, close support, and audit support. In this role, you will Prepare and book journal entries and perform reconciliations for enterprise revenue accounting activity. Support the monthly accounting close. Respond to audit requests and prepare supporting documentation. Work with large datasets to support enterprise revenue accounting execution and investigate accounting activity. You may thrive in this role if you Bring hands-on accounting execution skills across journal entries, reconciliations, close activities, and audit support. Are comfortable working with large volumes of data. Have SQL experience or otherwise demonstrate strong data-analysis capability. Lack of SQL experience is not an automatic disqualifier. Enjoy contributing to a team supporting a rapidly growing business. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be admini

SQLArtificial IntelligenceAIAccounting
MT
📍 Boise, ID - Main Site, United States
✓ High-confidence listingCompany trend +1266.7%
Quick readStrong listing-quality and freshness signals

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As an AI Reimagination Engineer in Micron's Generative AI Center of Excellence (GenAI COE), you have an outstanding chance to transform how businesses function. You will partner with different business areas to break down large, manual, multi-step processes and redesign them into effective, autonomous systems. This position combines process reimagination with AI systems engineering, making you a key part of the transformation journey. You will collaborate closely with the GenAI COE, IT architecture, security, and project teams. You will lead projects from the initial redesign to the final build, delivering solutions that business teams can adopt and scale. Responsibilities: Decompose end-to-end processes: Map current-state flows, quantify effort and risk, and lead eliminate/simplify/agentify analysis before automation. Architect the agentic solution: Build future-state flows and AI architecture, including task and agent decomposition, orchestration patterns, tool and data access, memory and context strategy, and human-in-the-loop controls. Translate inventions into buildable solutions by developing agent workflows, composing prompt and context strategies, MCP/connector and integration requirements, and evaluation criteria. Follow Micron's “Secure by Design”

PythonSQLAIC#
MT
📍 Boise, ID - Main Site, United States
✓ High-confidence listingCompany trend +1266.7%
Quick readStrong listing-quality and freshness signals

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As an AI Reimagination Engineer in Micron's Generative AI Center of Excellence (GenAI COE), you have an outstanding chance to transform how businesses function. You will partner with different business areas to break down large, manual, multi-step processes and redesign them into effective, autonomous systems. This position combines process reimagination with AI systems engineering, making you a key part of the transformation journey. You will collaborate closely with the GenAI COE, IT architecture, security, and project teams. You will lead projects from the initial redesign to the final build, delivering solutions that business teams can adopt and scale. Responsibilities: Decompose end-to-end processes: Map current-state flows, quantify effort and risk, and lead eliminate/simplify/agentify analysis before automation. Architect the agentic solution: Build future-state flows and AI architecture, including task and agent decomposition, orchestration patterns, tool and data access, memory and context strategy, and human-in-the-loop controls. Translate inventions into buildable solutions by developing agent workflows, composing prompt and context strategies, MCP/connector and integration requirements, and evaluation criteria. Follow Micron's “Secure by Design”

PythonSQLAIC#
M
📍 San Francisco, California, United States· Full-time
✓ High-confidence listingCompany trend -67.9%
Quick readStrong listing-quality and freshness signals

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. The Role: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you'll be working on Modal's machines layer: the fleet of bare metal and cloud hosts that every Function, Sandbox, and training job runs on, and the control plane that provisions, images, monitors, and repairs them. You'll automate the integration of new capacity from a growing set of hardware providers; from auditing and benchmarking hosts and clusters, to maintaining our machine images, configuring GPUs, RDMA, networking, and storage, and getting machines into production. You'll build the automation that keeps the fleet healthy without human intervention: detecting bad GPUs, thermals, and disks. You'll dig into whatever is between the hardware and the software that runs on

PythonLinuxAIAuditing
P
📍 New York, United States
✓ High-confidence listingCompany trend +671.4%

$162.9K – $271.5K/yr

Quick readStrong listing-quality and freshness signals

Role Summary The Director, Consumer Products & Surfaces leads the product-specific strategy, development, and delivery of Pfizer’s branded and select unbranded digital properties. This individual will act as the product lead for all branded websites and owns the product execution of how brand content connects to the external surfaces where patients and consumers increasingly encounter it — search, AI assistants and answer engines, and syndication partners. This is an individual contributor role for someone who can think in big-picture product strategy and drive hands-on execution. Working from the business case and strategy set by the Ecosystem Strategy team, the Director defines what branded surfaces should become as content consumption shifts from destinations to sources and delivers the roadmap that gets them there. Role Responsibilities Product Strategy & Definition Leads branded website development end-to-end, determining what a successful branded experience looks like and how it is measured. Decide which features and capabilities branded surfaces should prioritize, translating the ecosystem strategy, business case, consumer insight, and performance data into a coherent roadmap. Translate the ecosystem strategy for branded and unbranded surfaces into product decisions, partnering with Ecosystem Strategy on roles, audience handoffs, and journey logic across properties. Own the product execution of brand content connectivity to external surfaces — the content structures, infrastructure, and integrations that make branded content machine-readable and discoverable — partnering with Strategy on which surfaces to prioritize and the portfolio posture toward each. Champion human-centered design methodology to ensure product decisions are grounded in real consumer needs rather than assumption or internal preference. Produc

AIRecruitment
M
📍 Atlanta, United States
✓ High-confidence listingCompany trend +212.5%
Quick readStrong listing-quality and freshness signals

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Sales Engineer Specialist Our Purpose: We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion (https://www.mastercard.us/en-us/vision/who-we-are/diversity-inclusion.html) for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation, and delivers better business results. Overview: Mastercard Identity is the global standard in identity verification and behavioral assessment, providing businesses worldwide the ability to link any digital transaction to a human or entity behind it. Our solutions use complex machine learning to combine features derived from the billions of transactions within our proprietary network and the data from our models to deliver industry-leading fraudulent activity detection and risk assessment solutions. As a Sales

PythonSQLMachine LearningRecruitment
MT
📍 Boise, ID - Main Site, United States
✓ High-confidence listingCompany trend +1266.7%
Quick readStrong listing-quality and freshness signals

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As an AI Reimagination Engineer in Micron's Generative AI Center of Excellence (GenAI COE), you have an outstanding chance to transform how businesses function. You will partner with different business areas to break down large, manual, multi-step processes and redesign them into effective, autonomous systems. This position combines process reimagination with AI systems engineering, making you a key part of the transformation journey. You will collaborate closely with the GenAI COE, IT architecture, security, and project teams. You will lead projects from the initial redesign to the final build, delivering solutions that business teams can adopt and scale. Responsibilities: Decompose end-to-end processes: Map current-state flows, quantify effort and risk, and lead eliminate/simplify/agentify analysis before automation. Architect the agentic solution: Build future-state flows and AI architecture, including task and agent decomposition, orchestration patterns, tool and data access, memory and context strategy, and human-in-the-loop controls. Translate inventions into buildable solutions by developing agent workflows, composing prompt and context strategies, MCP/connector and integration requirements, and evaluation criteria. Follow Micron's “Secure by Design”

PythonSQLAIC#
B
📍 Berkeley, United States
✓ High-confidence listingCompany trend +515.8%
Quick readStrong listing-quality and freshness signals

Senior Systems Engineering Manager (Systems Engineering Management) Company: The Boeing Company Boeing Defense, Space & Security (BDS) is looking for a Senior Systems Engineering Manager (Level M) to join the System Engineering, Integration and Test (SEIT) Team in Berkeley, MO . The SEIT Senior Manager will lead a high-performing, cross-functional Systems Engineering, Integration, and Test (SEIT) team, driving the development and delivery of cutting-edge capabilities for the Air Proprietary Program. This position reports directly to the Air Proprietary SEIT Director. This position will plan, organize and direct activities for the Air Proprietary Systems Engineering team. A successful candidate will have familiarity with: Model Based System Engineering (MBSE) using MSOSA tools System Engineering best practices, processes, and procedures Design, Integration, and Test including architecture, interfaces, requirements, modeling, and verification Certification including Airworthiness, Certifications, and SCFTA Configuration Management & Data Management including Teamcenter/IPDM, SSOWs, SDRLs Specialty Engineering including FMECA, R&M, Supportability, System Health, and Human Engineering EME/EEE & Product Security including EMC, TEMPEST, System Security, and Cyber Collaboration with System Safety Function including CSIs, Hazard analysis, and SSWGs Position Responsibilities Responsible for integration across the Air Proprietary program statement of work ensuring synchronized work is accomplished in support of the integrated master schedules and in compliance to customer requirements Oversees translating strategies int

SapRecruitment
B
📍 Hazelwood, United States
✓ High-confidence listingCompany trend +515.8%
Quick readStrong listing-quality and freshness signals

Senior Systems Engineer (Flight Crew Operations Integrator) Company: The Boeing Company Boeing Defense, Space & Security (BDS) is seeking a Senior Systems Engineer (Level 5) to support the Phantom Works organization in Hazelwood, MO . The successful candidates will develop equipment and escape/crew station system integration concepts and other design methods to provide and coordinate product definition for Integrated Product Teams, various engineering functions, production operations, qualification/flight testing, suppliers and external customers throughout the product lifecycle. Position Responsibilities Applies an interdisciplinary, collaborative approach to lead activities to plan, design, develop and verify complex lifecycle balanced system of systems and system solutions. Leads others to evaluate customer/operational needs to define system performance requirements, integrate technical parameters and assure compatibility of all physical, functional and program interfaces. Leads analyses to optimize total system of systems and/or system architecture. Leads analyses for affordability, safety, reliability, maintainability, testability, human systems integration, survivability, vulnerability, susceptibility, system security, regulatory, certification, product assurance and other specialties quality factors into a preferred configuration to ensure mission success. Leads, develops, maintains and identifies improvements the planning, organization, implementation and monitoring of requirements management processes, tools, risk, issues, opportunity management and technology readiness assessment processes. Travel may be required up to 10% of the time; Domestically and/or interna

SapRecruitment
OS
📍 Atlanta, Georgia, United States· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

About OfficeSpace: OfficeSpace Software provides the leading AI operating system for the built world, that helps teams plan, connect, and perform in the workplace. As a performance-based, PE-backed company, we hire based on merit and a willingness to do what it takes to succeed long-term. You’re a great fit for the role if you’re entrepreneurial, passionate, motivated by building at light speed, and an Agentic AI early adopter. Our world-class teams operate in the US, Canada, and Costa Rica in a culture of trust, respect, growth, and impact. About the role: OfficeSpace is looking for a Director of Sales Development to build the next generation of our pipeline engine. You will own inbound- and outbound-sourced pipeline across new-logo and expansion accounts, lead our strategic ABX motion, and develop SDRs and Senior SDRs into high-performing GTM talent. You'll shape how people and AI agents work together—using automation to expand capacity while keeping judgment, relationships, and buyer experience human-led. This is a builder role. You'll partner closely with Sales, Marketing, Revenue Operations, Finance, and Enablement to turn revenue goals into a focused operating system that improves account penetration, conversion, pipeline productivity, and talent development as OfficeSpace moves upmarket. What you'll do: Own the pipeline engine. Translate revenue targets, pipeline coverage, conversion rates, and productivity assumptions into SDR capacity, quotas, territories, coverage, and investment decisions. Build a high-performing team. Lead, coach, and develop SDRs and Senior SDRs against clear goals for pipeline, conversion, quality, productivity, and progression. Lead strategic ABX. Turn account segments, intent, buying-group signals, whitespace, and market triggers into focused action across Mid-Market and Enterprise new-logo and expansion accounts. Build depth in priority accounts. Establish disciplined account-planning motions across research, contact ma

AgileAIGoRust
T
📍 Boston, Massachusetts, United States· Full-time
✓ High-confidence listing

$100K – $500K/yr

Quick readStrong listing-quality and freshness signals

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We’re looking for a Field Application Engineer who’s wired for AI/ML, fluent in real-world problem-solving, and excited to build with the people actually using what we make. You will collaborate closely with the sales team and enterprise customers, leveraging your deep technical knowledge in AI to drive the adoption of our products and solutions. This is a customer-facing role that requires both technical expertise and excellent communication skills to convey complex technical concepts to non-technical stakeholders. This role is remote based out of North America with preference near one of our main hubs Santa Clara, CA; Boston, MA; or Toronto,ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You’ve lived in the AI/ML trenches, whether as a field engineer, a solutions architect, or the one tapped in when things needed to “just work.” You speak both machine and human. Whether it’s a researcher or a skeptical executive, you know how to break things down and bring them to life. You’re fired up about generative models, LLMs, and the edge of what’s possible when software meets purpose-built silicon. Work directly with customers in mee

AWSMachine LearningAIGo
T
📍 Boston, Massachusetts, United States· Full-time
✓ High-confidence listing

$100K – $500K/yr

Quick readStrong listing-quality and freshness signals

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We’re looking for a Field Sales Engineer who’s wired for AI/ML, fluent in real-world problem-solving, and excited to build with the people actually using what we make. You will collaborate closely with the sales team and enterprise customers, leveraging your deep technical knowledge in AI to drive the adoption of our products and solutions. This is a customer-facing role that requires both technical expertise and excellent communication skills to convey complex technical concepts to non-technical stakeholders. This role is remote based out of North America with preference near one of our main hubs Santa Clara, CA; Boston, MA; or Toronto,ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You’ve lived in the AI/ML trenches, whether as a field engineer, a solutions architect, or the one tapped in when things needed to “just work.” You speak both machine and human. Whether it’s a researcher or a skeptical executive, you know how to break things down and bring them to life. You’re fired up about generative models, LLMs, and the edge of what’s possible when software meets purpose-built silicon. Work directly with customers in pre-sales

AWSMachine LearningAIGo
O
📍 San Francisco, California, United States· Full-time
✓ High-confidence listingCompany trend -82%
Quick readStrong listing-quality and freshness signals

About the Team The Product & Platform teams at OpenAI are responsible for delivering the company’s most impactful offerings—such as ChatGPT, our API platform, and new enterprise capabilities—to a global and diverse customer base. These systems must perform at scale and deliver exceptional experiences to developers, consumers, and businesses alike. The ChatGPT Multimodal team works across voice, image generation, and other multimodal experiences to turn frontier research capabilities into reliable products. The team connects product usage and failure patterns with research, evaluation, data, inference, capacity, and external partnerships so that model and product improvements translate into better experiences for users. About the Role We are seeking a Technical Program Manager to build the flywheel that helps ChatGPT multimodal products learn from real-world usage and improve quickly. You will lead programs spanning production-signal mining, evaluation and data pipelines, research-to-production parity, multimodal capacity planning, and complex cross-functional dependencies for voice and image-generation launches. You will work closely with product engineering, research, Human Data, inference and capacity teams, safety partners, and external vendors or product partners. Success requires technical depth, strong systems thinking, comfort with ambiguity, and the ability to turn fragmented or manual work into durable mechanisms that teams adopt. 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: Build a system for mining production conversations and product signals to identify representative multimodal workflows, user needs, and failure modes. Establish and maintain evaluations for the highest-priority multimodal behaviors and use cases, with clear coverage, quality standards, and ownership. Package production signals into decision-ready data and

AWSRestMachine LearningAI
O
📍 San Francisco, California, United States· Full-time· Remote
✓ High-confidence listingCompany trend -82%
Quick readStrong listing-quality and freshness signals

About the Team Our Safety Systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. Within Safety Systems, the Model Policy team works to ensure that increasingly capable models behave safely and reliably in real-world environments. We investigate emerging model failures, define the behavior models should exhibit instead, and develop the data, evaluations, monitoring, and safeguards needed to improve and validate that behavior. Our work connects alignment research with the practical challenges of training and deploying frontier models. About the Role In this role, you will shape how OpenAI understands and addresses real-world risks that emerge from model misalignment as models become more autonomous and operate over longer horizons. You will investigate how misaligned behavior emerges across extended trajectories - including when models persist toward the wrong objective, take unsafe shortcuts, lose track of instructions, exploit weaknesses in their environment, or circumvent constraints - and translate these insights into behavioral policies, evaluations, monitoring, and safeguards. This role is ideal for someone who wants to turn alignment and safety concerns into concrete, empirically grounded improvements to frontier AI systems. Your Responsibilities: Identify vulnerabilities that emerge as models interact with tools, data, and external systems, and translate them into model- and system-level safeguards. Develop threat models and empirical frameworks for understanding harmful outcomes from misaligned behavior. Build frameworks for understanding harmful outcomes arising from model misalignment. Identify the underlying behaviors and system conditions that drive those outcomes. Turn findings into policy frameworks, evaluation criteria, online measurement and safeguards. Develop human data campaigns and gold sets to ground measurement and evaluation of eme

AWSRestAIGo
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