Find your next AI Engineering role
2492+ open roles · 71+ companies hiring
2492 open positions
AI Support Engineer, Biosciences - San Francisco
OpenAI
OpenAI is seeking an experienced AI Support Engineer to build and manage the support and escalation processes for their life sciences customers, specifically for GPT-Rosalind. This role is a blend of hands-on support and strategic development, requiring direct customer interaction to diagnose and resolve complex technical and operational issues. You will be responsible for creating essential support infrastructure, including intake paths, playbooks, knowledge bases, and operating mechanisms tailored for life sciences workflows across various OpenAI products like ChatGPT, Codex, and the API. This is a unique opportunity to shape how OpenAI supports scientists and organizations as they integrate advanced AI systems into their work, partnering closely with internal teams and subject matter experts to ensure customers receive accurate, coordinated, and valuable support.
Engineering Manager, Model Infrastructure
Harvey
Harvey is transforming how legal and professional services operate by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. This role offers a rare chance to help build a generational company at a true inflection point, with strong product-market fit and world-class investor support. The team moves fast, takes ownership, and is deeply committed to the mission, operating with intensity and pushing for excellence. As the Engineering Manager for Model Infrastructure, you will lead the team responsible for the platform powering every model request across Harvey, partnering closely with AI Research, Product Engineering, and Infrastructure to ensure reliability, scalability, and cost-efficiency. This is a strategic engineering organization, critical for every product capability, and will evolve to build the infrastructure for Harvey to train, evaluate, deploy, and operate its own frontier AI models.
$260k - $340k
GTM Strategy and Operations, Industry Lead
sierra.ai
Sierra is seeking a GTM Strategy and Operations, Industry Lead to join their team. This role will be instrumental in developing and refining the company's industry strategy, focusing GTM resources for maximum impact. The position involves owning territory design and management, pipeline progression, forecasting, and expansion strategy within key accounts. The ideal candidate will partner closely with Sales and Agent Development to operationalize the strategy and drive cross-functional alignment across the industry.
Technical Community Lead, Pro
OpenAI
OpenAI is seeking an exceptional Technical Community Program Manager to help manage and scale a high-signal community of advanced ChatGPT Pro users. This is a hands-on, technically fluent role that sits at the intersection of community-building, product enablement, user research, product education, and editorial storytelling. You should be comfortable understanding technical workflows, asking sharp technical questions, using the latest AI tools, and helping advanced users explain what they are building. You will report to the Head of Pro Subscriber Community and will be based in New York City.
Senior Product Manager, Orchestration
crusoe
Crusoe is seeking a Senior Product Manager for Orchestration to own major product areas within their Managed Orchestration portfolio. This role involves end-to-end ownership of Kubernetes cluster lifecycle, control-plane capabilities, node health, managed add-ons, workload scheduling, Slurm on Kubernetes, and customer-facing APIs for large-scale AI infrastructure. It's a deeply technical and hands-on position requiring close collaboration with engineering to translate complex infrastructure challenges into clear, durable product designs, focusing on detailed behavior, edge cases, failure modes, and thoughtful trade-offs to ensure product quality and customer satisfaction.
$170k - $205k
Software Engineer, Agent - Travel & Hospitality
sierra.ai
Sierra is building a platform to enable companies to create better, more human customer experiences with AI. We partner with industry leaders and are primarily an in-person company based in San Francisco, with growing offices globally. Our Travel, Transportation and Hospitality (TTH) team supports major players in the travel industry, helping them deliver standout customer experiences and drive business growth. We focus on supporting customers in critical moments, maximizing guest lifetime value, and building delightful products. The TTH team is small, scrappy, and collaborative, with engineers who are product-led thinkers, capable of owning an agent end-to-end. As part of this team, you will set the standard for going beyond your role and help build the future of the travel industry with AI.
Staff Applied AI Inference Engineer
crusoe
Crusoe is seeking a Staff Applied AI Inference Engineer to accelerate the abundance of energy and intelligence by optimizing large language models for production environments. This role involves owning the inference stack end-to-end, from profiling costs and implementing modern optimization techniques to deep dives into serving code when defaults are insufficient. The work is applied, focusing on real customer deployments with varying models, traffic, latency targets, and cost constraints. You will collaborate with customer engineering teams to tailor deployments, transition workloads from proof-of-concept to production, and ensure engineered gains are realized by users. This is a hands-on engineering position requiring coding, profiling, and low-level optimization, with a customer-facing component involving product and technical solutions work.
$215k - $260k
Product Support Engineer
cartesia
Cartesia is seeking a Product Support Engineer to ensure customer success on their AI platform. This role involves resolving complex technical issues, providing world-class support, and collaborating closely with engineering and product teams. You will be a key point of contact for customers, influencing the product roadmap and improving reliability through hands-on feedback and issue reproduction. This is a critical position for shaping the customer experience and setting support standards at a cutting-edge AI company.
Technical Program Manager, AI Delivery for Public Sector & Defence, UK
Cohere
Cohere is seeking an experienced Program Manager to join our customer-facing Program Management team, focusing on UK public sector and defence accounts. This role requires a deep understanding of technical program delivery, the complexities of frontier AI models, and the unique needs of government and defence organizations. You will act as the crucial link between Cohere's advanced AI capabilities and the specific requirements of UK Government and defence clients, navigating intricate procurement processes, stringent security demands, data sovereignty concerns, and regulatory compliance to ensure successful deployment and scaling of our AI solutions. You will collaborate with various internal teams, serving as the technical program lead and trusted advisor for our most sensitive and high-impact government engagements.
$12k - $18k
Agent Deployment Engineer - Spanish Speaking
decagon
Decagon is seeking a highly technical and customer-facing Agent Deployment Engineer to join their specialized technical delivery team. This role is responsible for the end-to-end execution of AI agent builds for strategic enterprise customers. You will own the implementation work required to launch and scale enterprise-quality agents, partnering with customers and internal teams to define success, translate requirements into build plans, and deliver agents that meaningfully impact the customer’s business. You will work closely with various internal teams to create tight feedback loops, execute builds, surface gaps, and influence the evolution of Decagon’s agent-building platform based on real customer needs. This role is ideal for someone who thrives in fast-moving environments, enjoys shipping customer-facing technical work, and can balance hands-on execution with structured thinking.
Agent Deployment Engineer - Spanish Speaking
decagon
Decagon is seeking a highly technical and customer-facing Agent Deployment Engineer to join their specialized technical delivery team. This role is responsible for the end-to-end execution of AI agent builds for strategic enterprise customers, from initial design and scoping through implementation, evaluation, and production deployment. You will partner with customers and internal teams to define success, translate requirements into build plans, and deliver agents that significantly impact the customer's business. This position requires a strong technical foundation, excellent communication skills, and the ability to thrive in fast-moving, ambiguous environments, shaping solutions as much as implementing them.
$175k - $230k
Agent Deployment Engineer - Spanish Speaking
decagon
Decagon is seeking a highly technical and customer-facing Agent Deployment Engineer to join their specialized technical delivery team. This role is responsible for the end-to-end execution of AI agent builds for strategic enterprise customers, from initial design and scoping through implementation, evaluation, and production deployment. You will partner with customers and internal teams to define success, translate requirements into build plans, and deliver agents that significantly impact the customer's business. This position requires a strong technical foundation, excellent communication skills, and the ability to thrive in fast-moving, ambiguous environments, shaping solutions as much as implementing them.
$175k - $230k
Agent Deployment Engineer - French Speaking
decagon
Decagon is seeking an Agent Deployment Engineer to lead the end-to-end execution of AI agent builds for strategic enterprise customers. This is a highly technical delivery role focused on launching and scaling enterprise-quality agents. You will partner with customers and internal teams to define success, translate requirements into build plans, and deliver agents that significantly impact business outcomes. The role involves close collaboration with Product Management, Agent Success, Engineering, and Go-To-Market teams to create feedback loops, execute builds, identify gaps, and influence the evolution of Decagon's agent-building platform based on customer needs. This position is ideal for individuals who excel in fast-paced environments, enjoy shipping customer-facing technical work, and can effectively balance hands-on execution with structured thinking.
Agent Deployment Engineer - German Speaking
decagon
Decagon is seeking an Agent Deployment Engineer to lead the end-to-end execution of AI agent builds for strategic enterprise customers. This highly technical role involves partnering with customers and internal teams to define success, translate requirements into build plans, and deliver agents that significantly impact business outcomes. You will collaborate closely with Product Managers, Agent Success, Engineering, and Go-To-Market teams to create feedback loops, execute builds, identify gaps, and influence the evolution of Decagon's agent-building platform based on real customer needs. The ideal candidate thrives in fast-paced environments, enjoys shipping customer-facing technical work, and can balance hands-on execution with structured thinking.
SaaS Enablement & Governance Lead
Legora
Legora is seeking its first SaaS Enablement & Governance Lead to manage the entire lifecycle of the company's SaaS and AI portfolio. This role will oversee everything from initial intake to renewal and decommissioning, focusing on areas where risk and sprawl often accumulate. You will partner with FP&A, Procurement, and Security to ensure the software estate meets the high standards expected by Legora's legal professional customers. The ideal candidate will leverage automation and AI agents for repetitive tasks, allowing them to focus on strategic judgment and decision-making, whether that involves commercial platforms or custom-built tooling.
Research Scientist - Multimodal Agent, Consumer Devices
OpenAI
We are seeking a Research Engineer / Scientist to join our applied research team focused on developing new methods, models, and evaluation frameworks for the future of computing. This role will concentrate on building the learning and evaluation foundations that enable AI models to become more context-aware, adaptive, and useful over time. You will tackle challenges such as reward modeling, preference learning, long-horizon evaluation, and policy improvement for systems that require high-quality behavioral decisions in realistic user settings. The work is deeply product-grounded, aiming for improved model behavior in real-world use rather than just benchmark performance. The ideal candidate is passionate about advancing AI systems beyond simple assistant interactions towards those that improve through feedback, learn from richer signals, and are trained against meaningful notions of user value.
Majors Customer Success Manager
Harvey
Harvey is seeking a Majors Customer Success Manager to guide its largest clients through their journey with the company's AI solutions. This pivotal role involves ensuring customers maximize value from Harvey's technology by acting as a trusted advisor, integrating the platform into business processes, offering industry expertise, and influencing the product roadmap. The position is ideal for someone looking to shape the future of work at elite law firms, Fortune 500 companies, and premier asset managers.
$180k - $210k
Member of Technical Staff - Data Platform
Reflection ai
Reflection is a research lab dedicated to making intelligence open and accessible. We are building open models that empower individuals to control their intelligence and shape the future of AI. This role focuses on building and operating the company-wide foundations platform, providing reliable, scalable developer infrastructure, SRE capabilities, and high-throughput data ingestion tooling. The team designs and implements core data systems and pipelines that power research, training, and production environments, enabling high-velocity experimentation, reliable model development, and scalable production workflows by unifying ingestion, processing, and orchestration across the data lifecycle.
Member of Technical Staff - Engineering Lead, Data Ingestion
Reflection ai
Reflection's Data team is responsible for building the training corpora that our frontier models learn from. The ingestion layer is the critical machinery that transforms raw data from the open web, licensed sources, and other large-scale origins into well-structured, versioned, and auditable datasets for pre-training. As the Data Ingestion Lead, you will provide front-line leadership for the team responsible for this layer, overseeing web crawl, data ingestion pipelines, and data lakes. You will build, mentor, and grow a team of data ingestion engineers, guide technical and architectural decisions across crawling, extraction, and corpus storage/delivery, and collaborate closely with research, data quality, and data partnerships teams. You will also remain hands-on to contribute technically and maintain a deep understanding of the team's work, as subtle decisions at the ingestion layer significantly impact model performance, safety, and failure points.
GTM Operations, Agent Development
sierra.ai
Sierra is building a platform to enable companies worldwide to create better, more human customer experiences with AI. We are seeking a GTM Operations professional to support the Agent Development team, bringing operational rigor to their strategy and operations. This role will involve establishing operating cadences, defining and scaling best practices for enterprise AI agent deployment, and driving account expansion strategies. You will analyze complex datasets, translate findings into actionable recommendations for executive leadership, and leverage AI-native tools to build internal systems and automate workflows.
Senior or Staff User Researcher
Harvey
Harvey is seeking a seasoned User Researcher to join its core product team. This role is for a senior individual contributor who will drive high-impact research across multiple teams or a major product area. You will shape problem definition, influence roadmaps, and elevate research quality through strong craft and partnership. The ideal candidate is comfortable with AI technologies and excited to build research and insight tooling to accelerate workflows. Success will be measured by teams meaningfully changing direction based on your insights, improved research quality in supported teams, and being a trusted strategic partner who moves at speed. This is a unique opportunity to shape how a category-defining AI company builds its products from the ground up, reporting directly to the Head of User Research and focusing on accelerating the quality and speed of user-centered AI product development.
$159k - $265k
Applied AI Engineer, Agent Enablement
OpenAI
We are seeking an Applied AI Engineer to collaborate with strategic partners in designing, building, validating, launching, and operating agent enablement integrations. This hands-on, partner-facing role involves contributing to the platform, leading technical engagements, and translating complex requirements into secure, production-ready solutions. You will work across various internal teams and external partners to identify high-value user journeys, prototype architectures, write code, conduct evaluations, and support post-launch iterations. The ideal candidate is a product-minded engineer who excels in full-stack development, authentication systems, and clear communication, aiming to deliver low-friction, trustworthy agent experiences.
Data Scientist, Trust & Safety
Replit
Replit is seeking a Data Scientist to establish and grow its Trust & Safety and Anti-Abuse program. This role involves transforming complex data signals from user behavior, identity, payments, infrastructure, and content into effective measurement systems, detection mechanisms, and decision-making processes. The goal is to protect Replit's users, platform, and financial integrity by making abuse economically unviable while minimizing friction for legitimate users. The position is at the forefront of AI-native abuse, tackling threats like phishing, cryptomining, LLM token farming, and AI agent exploitation, requiring a proactive and adversarial approach to identify, measure, and respond to these evolving challenges.
Technical Program Manager, AI Delivery, Korea
Cohere
Cohere is seeking an experienced Engineering Program Manager to join our customer-facing Engineering Program Management team. This role requires curiosity, drive, independence, and leadership, with hands-on experience managing projects for enterprise-grade software or enterprise-focused machine learning solutions. You will have the unique opportunity to shape Cohere’s operations, collaborate with leading minds in the LLM space, work directly with our Strategic Customers as well as Applied ML Engineering, Forward Deployed Engineering, Platform, Product, and Go-to-Market teams. You will serve as the "technical" voice of Cohere for the customer, making high-impact contributions to our fast-growing company, product, and culture. This role is open to candidates based in Korea.
Engineering Manager, Model Flywheel
OpenAI
The ChatGPT Model Flywheel team is focused on transforming model advancements into exceptional ChatGPT user experiences. This involves ensuring reliable serving, rapid experimentation, safe deployment, and continuous improvement of AI models. The team collaborates cross-functionally with various AI and product teams to achieve these goals, driving innovation and user impact at a global scale.
Majors Customer Success Manager
Harvey
Harvey is seeking a Majors Customer Success Manager to guide its largest clients through their journey with the company's AI solutions, ensuring maximum value adoption. This pivotal role involves acting as a trusted advisor, integrating Harvey into client business processes, providing industry expertise, and influencing the product roadmap. The position is ideal for someone looking to shape the future of work at elite law firms, Fortune 500 companies, and premier asset managers.
$180k - $210k
Technical Program Manager, AI Delivery for Public Sector & Defense, France
Cohere
Cohere is seeking an experienced Program Manager to join its customer-facing Program Management team, focusing on public sector and defense accounts in Europe, particularly in France. This specialized role requires an individual who understands technical program delivery, the complexity of frontier AI models, and the unique requirements of government and defense organizations. You will act as the critical bridge between Cohere's AI capabilities and the needs of Ministries, Agencies, and defense organizations across Europe, navigating complex procurement processes, security requirements, data sovereignty, and regulatory compliance to ensure successful deployment and scaling of AI solutions. You will collaborate with various internal teams, serving as the technical program lead and trusted advisor for sensitive government and defense engagements.
Applied AI Engineer, Enterprise
OpenAI
As an Enterprise Applied AI Engineer at OpenAI, you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. This role involves writing and debugging code, building evaluation systems, resolving complex integrations, and guiding decisions across model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve.
SEO Manager
sierra.ai
Sierra is building a platform to enable companies to create better, more human customer experiences with AI. We are seeking an SEO Manager to define and execute our SEO strategy, aiming to capture and maintain top rankings across traditional search engines and AI answer engines to drive organic growth. This role involves building and scaling an AI-powered content engine, optimizing website performance and authority, and leading our AI search strategy (AEO/GEO) to ensure content is cited in AI-generated answers. You will measure and communicate SEO impact, connecting rankings, traffic, leads, and pipeline to optimize investments based on business outcomes. This is a primarily in-person role based in San Francisco.
Advisory, Wealth Management
Rogo.ai
Rogo is transforming global finance by empowering professionals at top investment banks, private equity funds, and investment firms with AI that delivers unparalleled speed, accuracy, and insight. We are redefining financial workflows and are seeking individuals to join a generational company driving this transformation. With a rapidly growing global client base, proven product-market fit, and strong investor backing, we are scaling quickly and defining a new category of enterprise AI. Our team is sharp, motivated, and deeply committed to Rogo’s mission, taking ownership of complex problems and focusing on our users. If you thrive in a fast-paced environment, demand excellence, and want to help build the future of finance, we invite you to join us.
IT Operations Analyst, Bengaluru
Harvey
Harvey is transforming how legal and professional services operate by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. We are a fast-scaling company with strong product-market fit, seeking to define a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth is unmatched. We are looking for an IT Operations Analyst to join our Business Technology (BizTech) team in Bengaluru. This role is crucial for ensuring our employees have the necessary tools and technology to be productive throughout their tenure at Harvey, from onboarding to offboarding.
Software Engineer, Evals
Glean
Glean is seeking backend and infrastructure engineers to build platforms that measure, explain, and improve AI quality at scale. This role involves owning core systems for large-scale evaluations, processing traces, powering observability workflows, and providing engineers with clear signals about assistant and agent behavior. You will work on systems that need to be scalable, secure, permissions-aware, fast, and cost-efficient, directly shaping how AI products are shipped. This is an opportunity to work at the intersection of distributed systems, data infrastructure, applied AI, and product quality, helping to build the systems that determine if new models, prompts, retrieval strategies, and agent workflows are ready for enterprise customers.
Enterprise Applied AI Leader
Mercor
Mercor is seeking an Enterprise Applied AI Leader to build and scale a technical delivery team responsible for deploying Mercor's Enterprise AI platform for enterprise customers. This is a customer-facing leadership role integrated with Sales/GTM and delivery teams, focused on leading engineers in the end-to-end technical delivery of production-grade AI systems. You will work hand-in-hand with customer stakeholders to solve complex business problems and contribute to the commercial relationship, with success measured by customer outcomes and commercial impact. Your primary responsibility is enabling your engineering team to execute, while being technically credible and capable of hands-on contribution.
Senior AI Builder
Replit
Replit is seeking a Senior AI Builder to design, architect, and ship AI-powered internal platforms that run the company's operations across multiple departments. This role requires a builder with substantial autonomy who can tackle ambiguous business problems, understand them deeply, and deliver software solutions. The ideal candidate will possess a strong understanding of business mechanics, revenue generation, and operational challenges across various functions like People Operations, Customer Support, Sales, Marketing, Finance, and Recruiting. Experience running a business or working in a fast-scaling startup is highly valued, emphasizing ownership, shipping with incomplete information, and driving outcomes.
Software Engineer, Full Stack
thinkingmachines
Thinking Machines Lab is seeking a full stack engineer to build and ship products from prototype to scale, and to maintain tools that accelerate research and product teams. This role involves working across frontend and backend components, and contributing to the reliability, observability, and security of production systems. The company's mission is to empower humanity through advancing collaborative general intelligence, building a future where everyone has access to AI tools for their unique needs.
$350k - $475k
Software Engineer, Full Stack, Tinker
thinkingmachines
Thinking Machines Lab is seeking a full-stack engineer to develop and deploy the products and services that Tinker users engage with daily. This role involves working across frontend, backend, and infrastructure to build the Tinker console, developer tools, and other essential components for the platform. Tinker is a fine-tuning API that enables researchers and developers to customize frontier AI models using their own data and algorithms, managing the underlying infrastructure to provide flexibility and access to advanced capabilities.
$350k - $475k
Software Engineer, Developer Productivity, AI Tools
thinkingmachines
Thinking Machines Lab is seeking a developer productivity engineer to enhance internal software development processes, focusing on safety, speed, and user experience. This role will concentrate on AI tools and coding agents, collaborating with platform, security, and product engineers to build cutting-edge tooling for AI-assisted software development and significantly accelerate the inner development loop. The position involves both establishing company-wide platforms and assisting individual developers in optimizing their workflows.
$350k - $475k
Systems Generalist, GPT Infrastructure
OpenAI
OpenAI is seeking an experienced systems generalist to join the GPT Infrastructure team. This role involves building an automated inference optimization platform that handles workload analysis, target hardware profiling, compiler and runtime context, and trusted verification. You will design and implement both the OpenAI-hosted control plane and the partner-side software responsible for evaluating candidates on real accelerator hardware. The goal is to create a reliable system that ensures reproducible performance results and maintains clear trust boundaries for sensitive information, turning a powerful research workflow into a scalable product.
Software Engineer, Data Infrastructure
thinkingmachines
Thinking Machines Lab is seeking an engineer to join a high-impact team focused on data infrastructure. This role is crucial for architecting and scaling the core systems that power distributed training pipelines, multimodal data catalogs, and intelligent processing of petabytes of data. You will work directly with researchers to accelerate experiments, develop new datasets, enhance infrastructure efficiency, and derive key insights from our data assets. If you are passionate about distributed systems, large-scale data mining, and building foundational tools from the ground up, we encourage you to apply.
$350k - $475k
Site Reliability Engineer (SRE)
thinkingmachines
Thinking Machines Lab is seeking a Site Reliability Engineer (SRE) to ensure the end-to-end reliability of their Tinker platform. This role involves working closely with engineers and research teams to enhance the robustness and resilience of every system layer. The SRE will be instrumental in maintaining and improving the infrastructure that supports custom AI model fine-tuning, ensuring a seamless experience for researchers and developers.
$350k - $475k
Frequently asked questions
What counts as an AI Engineering job?
AI Job Board lists engineering roles that build, deploy, or operate AI/ML systems — including LLM engineering, RAG (retrieval-augmented generation), AI agents, prompt engineering, AI infrastructure and MLOps, model serving/inference, and fine-tuning. It excludes non-engineering functions like AI sales or marketing roles.
What is the difference between an AI Engineer and a Machine Learning Engineer?
An AI Engineer typically builds applications on top of existing models — LLM integration, RAG pipelines, agent orchestration, and prompt design. A Machine Learning Engineer more often trains, fine-tunes, or productionizes custom models. Many companies use the titles interchangeably, so search both when browsing.
Does AI Job Board include AI infrastructure and MLOps roles?
Yes. Titles such as AI Infrastructure Engineer, ML Platform Engineer, GPU Infrastructure Engineer, Inference Engineer, MLOps Engineer, and AI Site Reliability Engineer are all covered — these roles focus on the systems that serve and scale AI models rather than building models themselves.
Are remote AI and ML jobs available?
Yes. Filter by "Remote" on the jobs page to see fully remote AI/ML engineering roles, or browse the remote jobs feed directly.
What skills are most in demand for AI engineering roles?
The most commonly requested skills are LLM APIs (OpenAI, Anthropic, Gemini), RAG and vector databases (Pinecone, Weaviate, Qdrant), agent frameworks (LangGraph, CrewAI, AutoGen), inference/serving tools (vLLM, Ray Serve, TensorRT-LLM), and fine-tuning. Use the skill filters on the jobs page to browse by specific technology.
How fresh are the job listings?
Listings are sourced continuously from company career pages and refreshed automatically. Each job shows when it was posted, and the sitemap and API expose last-updated timestamps for every posting.
How much do AI Engineers get paid?
Compensation varies widely by role, seniority, and location. Where employers disclose a salary range, it is shown directly on the job listing — filter by salary range on the jobs page to narrow results to your target compensation.