Shift: 

Wednesday-Sunday - 4PM-12AM

Company Overview:

At Veo, we are on a mission to end car dependency by making clean transportation accessible to all and advancing the next generation of fully electric micromobility systems. Our fleets are constantly evolving and feature a range of vehicles - from pedal and electric bicycles, to standing and seated e-scooters, e-cargo bikes, and ADA accessible devices. We design and build our own vehicles, hardware, and software systems in house and run all our local operations to provide safe, efficient, and responsive mobility services that make communities more sustainable and livable.  We are looking for exceptionally talented individuals who are ready to develop and implement new solutions to these exciting challenges. We are headquartered in Santa Monica, CA, but are hiring across the U.S. Join us!

Responsibilities:

• Support the Operations Manager with the day-to-day responsibilities in the market 
• 60-80% of your time will be hands-on, manual work to include:
• Direct labor and warehouse organization 
• Hand-count assets and compliance audits 
• Perform routine inspection and maintenance of vehicles
• Respond to on-demand and in the field customer service requests
• Redistribute scooters around Veo’s service areas
• Identify, document and recover scooters requiring in-shop repair
• Ad-hoc field tasks and other tasks as required
• 20-40% of your time will consist of a variety of administrative work to include:
• Support Operations Manager with hiring, training, scheduling staff 
• Employee productivity tracking
• SOP follow-up
• Assist Operations Manager with other projects as needed

Qualifications & Skills:

• Basic mechanical and technical aptitude
• 1 year of leadership or supervisory experience 
• A valid driver's license
• Ability to lift up to 60 lbs and be on your feet for the entirety of a shift 
• Knowledge of the local geography and street layout 
• Clear, effective communication 
• Eligible to work in the United States

Perks:

• Opportunity to work in a fast-paced, early stage technology company
• VeoRide credits
• Medical/dental/vision coverage 

#VEO2026

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The Stream Compute team at Stripe builds and operates the infrastructure, tooling, and systems behind our Flink-powered stream processing systems. We're at the heart of several core asynchronous workflows, operating at significant scale and handling vast amounts of sensitive financial data. Our work powers intricate processes involving various critical financial operations and real-time analytics. We run globally distributed systems with high reliability and performance to meet Stripe's scaling, availability, and product needs, and we continually reduce operational toil by investing in automation and self-service tooling for upgrades, maintenance, and day-to-day operations. The team is distributed between Seattle, Toronto and remote locations.

What makes our team truly exciting is our commitment to our users: we ensure no event is dropped, state integrity is preserved, and support exactly-once processing as a first-class feature. Working at the intersection of real-time data processing and fintech innovation, we continuously push the boundaries of what's possible. Our focus on innovation, user experience, reliability, and compliance drives increased ROI and operational excellence, making us a crucial part of Stripe's success.

What you'll do

You'll help define and deliver the next generation of Stripe's Flink-first stream compute infrastructure—driving innovation to meet extremely high availability targets at global scale. Partnering with infrastructure engineers, adjacent platform teams, and the product orgs that depend on Flink every day, you'll set a long-term technical direction that scales with Stripe's growth while enabling reliable, efficient operations for years to come. You'll work on the hardest problems in operating Flink in production—state management, exactly-once processing, performance isolation, and automated recovery—so teams across Stripe can confidently build stateful stream processing applications on top of it.

Responsibilities

• Design, build, and operate stream compute infrastructure with Apache Flink at the center, alongside technologies like Kafka, Temporal, and AWS services
• Partner with product and platform teams across Stripe to understand requirements, unblock Flink adoption, and improve how stream processing infrastructure is used end-to-end
• Define and implement operational best practices (e.g., shuffle sharding, cellular architecture, load shedding, automated state recovery) to improve resilience and reliability at scale
• Drive fleet-level automation and standardization ("pets" to "cattle") through self-service workflows, safer rollouts, and self-healing systems that reduce manual operations
• Lead initiatives that raise the bar on Flink availability and state durability (e.g., multi-region strategies, disaster recovery readiness, operational readiness reviews, incident learning)
• Evaluate and productionize Flink ecosystem capabilities (e.g., SQL, connectors, state backends) to improve developer experience and scalability without compromising reliability
• Work closely with the open source community to identify opportunities for adopting new open source features as well as contribute back to OSS

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• This is a Staff-level role - that typically means 10+ years of experience building, operating, and evolving large-scale production systems
• Experience as a technical lead for team(s) working on distributed systems, including scaling them in fast-moving environments
• Hands-on experience with big data technologies such as Flink, Spark, Kafka, Pulsar, or Pinot
• Experience developing, maintaining and debugging distributed systems built with open source tools
• Experience building and scaling infrastructure as a product
• Strong software engineering skills and a passion for Big Data Distributed Systems
• Ability to write high quality code (in programming languages like Go, Java, Scala, etc)
• Comfortable operating with high autonomy and ownership
• Growth mindset and a willingness to learn quickly, explore ambiguous problem spaces, and dive deep when needed
• Strong written and verbal communication skills, including the ability to produce clear technical documentation

Preferred qualifications

• Experience operating streaming infrastructure as a platform (e.g., Flink clusters, Kafka, Pulsar) for internal customers at scale
• Deep hands-on experience authoring, optimizing, and operating real-time processing frameworks such as Flink, Spark Streaming, Storm, or Kafka Streams in production
• Experience building or operating control planes for managing large-scale infrastructure
• Open source contributions to data processing or big data systems (Hadoop, Spark, Celeborn, Flink, etc)

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Stripe Issuing team enables users to build and launch successful card programs and financial features into their product using powerful programmatic APIs. The team creates the infrastructure, user facing experiences, and partner integrations needed to manage the lifecycle of a card and enable efficient money movement. This is a great opportunity to help build one of Stripe’s fastest growing businesses. Our top users span fintechs to large enterprises & cover a range of verticals including Buy Now Pay Later, vertical SaaS platforms, on-demand marketplaces, expense management platforms, fleet, travel & more.

What you’ll do

As an Engineering Manager on this team, you'll lead engineers who operate at the critical intersection of high-availability distributed systems and financial infrastructure — where uptime is measured to four nines, authorization decisions must happen in seconds, and every request directly impacts the businesses and cardholders who depend on Stripe every day. At the heart of Issuing is the real-time authorization flow — the core moment when a cardholder swipes, taps, or enters their card details and Stripe decides whether to approve or decline the transaction. This team manages direct integrations with card networks, handles the full transaction lifecycle from authorization through clearing and settlement, and builds the features — spending controls, real-time webhooks, digital wallet provisioning — that give users programmatic control over every transaction.

Responsibilities

• Full-Stack Ownership: Enable your team to work across a wide range of systems, processes, and technologies, empowering them to own and solve complex problems from end-to-end.
• Operational Excellence: Design and lead engineering processes that allow the team to do its best work while engaging effectively with the broader Stripe ecosystem.
• Cross-Functional Partnership: Collaborate deeply with stakeholders across Product, Design, Data Science, Operations, Partnerships, and Marketing to align on strategy and execution.
• Team Growth & Mentorship: Actively develop the engineers on your team, providing the coaching and opportunities they need to advance in their careers.
• Strategic Recruiting: Partner with Stripe’s recruiting team to identify and hire world-class engineering talent to scale the organization.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• At least 5 years of experience managing teams that shipped high-quality products
• An entrepreneurial mindset
• Successfully recruited and built great teams
• Works effectively cross-functionally and is able to think rigorously, communicate effectively, and make or coordinate hard decisions and trade-offs
• Strong written and verbal communication skills for different audiences (leadership, users, company-wide)
• Thrives with a high degree of autonomy and responsibility in an ambiguous environment
• Technical acumen to drive clarity about architecture and technical strategic decisions
• Ability to dig deep into data, think from first principles, and deliver the right results
• Encourages a healthy and inclusive work environment that’s both challenging and supportive

Preferred qualifications

• Experience with financial product companies and interest in financial products and markets
• Productively lead fully remote teams

About Nabis

Nabis is the #1 licensed cannabis wholesale platform in the world, supplying $1B+ worth of cannabis products annually from hundreds of brands to retailers across California, New York, and Nevada. Our mission is to empower the world to discover cannabis by providing choice, access, and innovation. Through modern, scalable infrastructure, our mission is to empower the world to discover cannabis by providing choice, access, and innovation.

We’re at the forefront of this movement, building an innovative, technology-first platform to scale the entire cannabis industry. Backed by Y Combinator and investors, including DoorDash Co-Founder Stanley Tang, NFL Hall of Famer Joe Montana, Gmail creator Paul Buchheit, and Twitch co-founder Justin Kan, Nabis is rapidly expanding across the U.S. with the goal of becoming the largest and most influential cannabis distribution network globally.

About the Role

As Northeast General Manager for New York, you are the CEO of your market. You report to the President and own the state P&L end-to-end — revenue, margin, working capital, and headcount. The operations leaders, the commercial team, and the compliance team in your state report to you. You sit at the intersection of physical operations (warehousing, fleet, fulfillment), commercial (brand and retailer relationships), financial services (Nabis Capital, BillPay), and regulatory affairs. Your job is to make Nabis the platform that brands and retailers in your state cannot operate without.

Your priority is to stand up Nabis as the default wholesale partner under OCM during the adult-use ramp — sign brands, activate retailers, build the operation, and put New York on a credible path to contribution-margin breakeven.

Responsibilities:

• Be the owner. Own the full state P&L — revenue, gross margin, contribution margin, working capital, and headcount. Set the operating plan. Hit it.
• Run the operation. Lead end-to-end physical operations: warehousing, fleet, last-mile delivery, route density, on-time performance, inventory accuracy, and METRC-compliant chain of custody. Walk the floor. Know what is broken before anyone tells you.
• Win the market. Lead the commercial team — brand acquisition and renewal, retailer wallet share, marketplace adoption, and attach of Nabis Capital and BillPay across your book.
• Own the regulator relationship. Serve as the primary Nabis voice with state and local regulators. Maintain audit-ready compliance and licensing across every facility in market.
• Be the face of Nabis. Personally own the most strategic brand and retailer relationships in market. Represent Nabis at industry events, with regulators, and with the media when it matters.
• Build the team. Hire, develop, and lead a cross-functional team across operations, sales, account management, and compliance. Build a credible succession bench for every key role.
• Translate strategy into execution. Take Nabis’s national strategy and turn it into a state-specific playbook. Identify the next product, lane, or segment worth investing in, make the case, and ship it.
• Partner cross-functionally with HQ — product, engineering, finance, capital markets, and government affairs — to make sure the things you need to win are getting built

Qualifications

• 8+ years of progressively senior leadership experience, with at least 3 years owning a meaningful P&L. Backgrounds we tend to weight: high-growth marketplace or logistics operator (DoorDash, Uber, Lime, Instacart, Faire, Flexport), cannabis operator at scale, regulated CPG distribution, or PE-backed multi-site operations leadership. MBA or equivalent preferred but not required.
• Hands-on operator. You have run physical operations at scale — distribution, last-mile, warehousing, manufacturing, or similar — in environments where you had to design the process, not just inherit it.
• Real-time marketplace fluency. You understand supply-and-demand economics and how to balance both sides of a two-sided platform.
• Commercial range. You have closed enterprise deals, set pricing, and managed strategic accounts at the executive level.
• Regulated-industry instincts. You have worked in cannabis, alcohol, pharmaceuticals, food, or financial services, and you treat compliance as a feature rather than a tax.
• Builder, not steward. You are energized by ambiguity, missing infrastructure, and the chance to build something that did not exist before you arrived.
• Bias to action. You move fast, write clearly, and would rather ship a v1 this week than a v3 next quarter. We use the data to win arguments.
• Travel and presence. You are willing to be on-site in the market full-time and to travel 20–30% across Nabis facilities.
• Bonus: existing relationships in the cannabis ecosystem of your target market; experience integrating an acquisition; experience launching a market or region from zero.

Compensation & Benefits:

• Unlimited PTO and paid holidaysCompetitive salary and equity packages.
• Base Salary starting at 175,000 + bonus.
• Additional compensation: Equity + bonus available, but dependent on job level
• Medical/Dental/Vision offered to all full-time employees
• 401(k) plan with a match.
  
  

Nabis is an Equal Opportunity Employer

*Nabis is seeking to create a diverse work environment because all teams are stronger with different perspectives and life experiences. We strongly encourage women, people of color, LGBTQIA individuals, people with disabilities, members of ethnic minorities, foreign-born residents, older members of society, and others from minority groups and diverse backgrounds to apply. We do not discriminate on the basis of race, gender, religion, color, national origin, sexual orientation, age, marital status, veteran status, or disability status. All employees and contractors of Nabis are responsible for maintaining a work culture free from discrimination and harassment by treating others with kindness and respect.*

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes:

• Create multi-layered guardrails around agents
• Optimize data retrieval for agents
• Orchestrate fleets of asynchronous agents
• Automatically alerts users to deviations in data
• Illustrating how an agent reached a decision

As a Staff Software Engineer, you will orchestrate the implementation of vertical features and horizontal capabilities to include mentoring other engineers on defining requirements with stakeholders and communication tradeoffs of technical implementations on feature and capabilities until they are accepted by the stakeholders.

You will: Orchestrate feature implementation across the Federal engineering team to ensure architectural consistency.

• Define technical strategy for agentic guardrails, explainability, and fleet orchestration.
• Ensure system reliability and performance across multiple security classifications and network types.
• Mentor engineers in the process of defining requirements with stakeholders and gathering acceptance.
• Communicate high-level technical trade-offs and implementation strategies to senior government stakeholders and Scale C-Suite members.
• Influence the long-term product strategy and technical roadmap for the Federal business unit.
• Consult on the architecture of AI-powered solutions for large-scale federal contracts.

Ideally you will have: 

• Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
• AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial.
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles
• Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment
• Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering

Role Description

• As an Senior Value Engineer specializing in CPG and Fleet Logistics, you are pushing the envelope in solving business-critical problems for some of the world's most recognized consumer brands and global mobility networks. You will be working intimately with our most strategic enterprise clients, understanding their uniquely complex objectives—spanning from high-velocity beverage manufacturing and Direct Store Delivery (DSD) optimization to massive-scale fleet lifecycle management and dynamic asset routing. You will build Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with top AI and ML technology partners (e.g., Microsoft, OpenAI, Databricks).

  With Celonis’ Process Intelligence (PI) platform, we feed operational context to AI so it understands the intricate realities of our customers' massive supply chains, vehicle fleets, and distribution networks. This enables them to industrialize AI, unlocking real ROI on deployments at scale—ensuring products are always on the shelf and vehicles are always ready for the customer. There is no AI without PI. You will prototype these solutions, demonstrate their value to global Chief Supply Chain Officers (CSCOs) and Fleet Operations Executives, and ensure successful implementation, adoption, and value realization to solidify and expand the footprint of Celonis across these premier global networks.

Key Responsibilities:

• AI Discovery & Solutioning: Understand the clients' overarching AI strategies and the distinct supply chain challenges inherent to high-volume CPG and fleet mobility (e.g., predictive demand forecasting, route optimization, fleet predictive maintenance, dynamic asset allocation, and mitigating raw material volatility). As a Celonis product and logistics domain expert, translate these complex, physical-world challenges into innovative AI solutions that drive measurable impact.

• Pre- and Post-Sales Execution: Actively drive the full customer lifecycle. Lead technical discovery and capability demonstrations during the expansion/pre-sales cycle within various manufacturing, distribution, and fleet management business units. Remain deeply involved post-sale to guide implementation, ensuring agreed value, efficiency, and adoption thresholds are successfully reached.

• Hackathons & Prototyping: Think out of the box with a "can-do" attitude, tackling heavily siloed legacy logistics and telematics networks. Leverage cutting-edge AI technologies to rapidly build creative prototypes in client hackathons, solving critical pain points across inventory allocation, fleet routing, and DSD execution.

• Agentic Process Transformation: Support these enterprise clients in achieving tangible ROI from AI at scale. Enable a fundamental shift from traditional, rule-based automation to autonomous AI agents empowered by the Celonis Process Intelligence Platform (e.g., autonomous fleet rebalancing, intelligent shipment exception handling, or automated trade promotion deductions).

• Proof Projects: End-to-end execution of business-critical Proof-of-Value projects. Architect and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails, ensuring seamless integration with complex enterprise ERPs (e.g., SAP), Transportation Management Systems (TMS), Warehouse Management Systems (WMS), and massive IoT/telematics data streams.

• Domain & Industry Leadership: Serve as the internal and external technical subject matter expert for CPG and Mobility Supply Chains, scaling knowledge across the organization regarding the nuances of fast-moving consumer goods and asset-heavy fleet operations.

Requirements:

• 5+ years of experience leading technical pre-sales and post-sales engagements specifically within highly complex Supply Chain, CPG/Beverage, or Fleet Logistics environments. This includes defining AI roadmaps, building compelling ROI/TCO business cases for large-scale distribution networks, and guiding technical implementations through to value realization.

• Deep understanding of supply chain business processes native to high-volume manufacturing and mobility (such as Direct Store Delivery (DSD), Order-to-Cash, Procure-to-Pay, Fleet Lifecycle Management, or Sales & Operations Planning) with the ability to translate high-level operational needs into specific AI use cases.

• Expertise in generative AI techniques like RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning used to build high-impact use cases (e.g., intelligent dispatch assistants, or automated extraction of data from complex vendor contracts and logistics documentation).

• Solid knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies for handling massive, high-velocity transactional and IoT datasets.

• Strong presentation skills to both internal and external stakeholders (including supply chain executives, logistics directors, and enterprise IT leaders), whether leading technical whiteboarding sessions or formal readouts and demos.

• Bachelor’s Degree required; Master's Degree in computer science, supply chain management, logistics, engineering, mathematics, or related fields, or equivalent work experience preferred.

Nice to have (big plus):

• Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations suited for enterprise-grade supply chain environments.

• Familiarity with CPG and fleet-specific systems (e.g., SAP APO/IBP, Blue Yonder, Manhattan, or major telematics/fleet tracking platforms).

• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.

• Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex).

Visa sponsorship is not offered for this role.
Learn More about Value Engineering at Celonis Here

About the Role

Anthropic manages one of the largest and fastest-growing accelerator fleets in the industry — spanning multiple accelerator families and clouds. The Accelerator Capacity Engineering (ACE) team is responsible for making sure every chip in that fleet is accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute.

As an engineer on ACE, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend.

You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment.

What This Team Owns

The team’s work spans three functional areas. Depending on your background and interests, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap:

• Data infrastructure — collecting, normalizing, and serving the fleet-wide data that powers everything else. This means building pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalizing billing and usage data across cloud providers, and maintaining the BigQuery layer that the rest of the org queries against. Correctness, completeness, and latency matter here.

• Fleet observability — making the state of the accelerator fleet legible and actionable in real time. This means building cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and driving systemic improvements to scheduling and fragmentation. The work sits at the intersection of Kubernetes operations and cross-team coordination.

• Compute efficiency — measuring and improving how effectively every major workload uses the hardware it’s running on. This means instrumenting utilization metrics across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and collaborating directly with system-owning teams to close efficiency gaps.

• Internal compute tooling — building the platforms and interfaces that make capacity data usable across the org. This includes capacity planning tools, workload attribution systems, cost dashboards, and self-service APIs. The consumers are research engineers, infrastructure teams, finance, and leadership — each with different needs and different levels of technical depth. The work involves product thinking as much as engineering: figuring out what people actually need, defining schema contracts, and making the data discoverable.

You will be placed on a pod based on your background and interests. We are especially focused on hiring for Data Platform, but strong candidates for any of the three active pods will move forward.

What You’ll Do

• Build and operate data pipelines that ingest accelerator occupancy, utilization, and cost data from multiple cloud providers into BigQuery. Own data completeness, latency SLOs, gap detection, and backfill automation.

• Develop and maintain observability infrastructure — Prometheus recording rules, Grafana dashboards, and alerting systems — that surface actionable signals about fleet health, occupancy, and efficiency.

• Instrument and analyze compute efficiency metrics across training, inference, and eval workloads. Build benchmarking infrastructure, establish per-config baselines, and work with system-owning teams to improve utilization.

• Build internal tooling and platforms that enable capacity planning, workload attribution, and cluster debugging. The consumers are other engineering teams, finance, and leadership — not external users.

• Operate Kubernetes-native systems at scale — deploying data collection agents, managing workload labeling infrastructure, and understanding how taints, reservations, and scheduling affect capacity.

• Normalize and reconcile data across heterogeneous sources — including AWS, GCP, and Azure billing exports, vendor-specific telemetry formats, and internal systems with different schemas and billing arrangements.

• Collaborate across organizational boundaries with research engineering, infrastructure, inference, and finance teams. Gather requirements from technical stakeholders, translate them into useful systems, and communicate trade-offs to non-technical audiences.

You May Be a Good Fit If You Have

• 5+ years of software engineering experience with a strong track record building and operating production systems. You write code every day — this is a hands-on engineering role, not a planning or coordination role.

• Kubernetes fluency at operational depth — you’ve operated production K8s at meaningful scale, not just written manifests. Comfort with scheduling, taints, labels, node management, and debugging cluster-level issues.

• Data pipeline engineering experience — designing, building, and owning the full lifecycle of production data pipelines. Experience with data warehouses (BigQuery preferred), schema management, streaming ingestion, SLOs for latency and completeness, and a strong instinct for correctness.

• Observability tooling experience — Prometheus, PromQL, and Grafana are in the critical path for this team. Experience writing recording rules, understanding metric semantics, and building monitoring systems that engineering teams actually rely on.

• Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable.

• Familiarity with at least one major cloud provider (AWS, GCP, or Azure) at the infrastructure level — compute, billing, usage APIs, cost management tooling. Multi-cloud experience is a strong plus.

• High autonomy and strong cross-team communication. You can gather your own requirements, navigate ambiguity, and work across organizational boundaries. Scrappiness and ownership matter more than polish.

Strong Candidates May Also Have

• Multi-cloud data ingestion experience — especially working with AWS and GCP APIs, billing exports, or vendor-specific telemetry formats. Experience normalizing data from external providers with different billing arrangements is directly applicable.

• Accelerator infrastructure familiarity — GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience working with ML training/inference systems at the hardware level.

• Performance engineering and benchmarking experience — building benchmark harnesses, establishing baselines, reasoning about compute efficiency (FLOPs utilization, memory bandwidth, interconnect throughput), and working with system teams to diagnose and improve performance.

• Data-as-product thinking — experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just building pipelines, but thinking about how platform data gets consumed.

• Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or large-scale ML environment. FinOps, chargeback systems, or infrastructure cost modeling.

Familiarity with ClickHouse, Terraform, or Rust. ClickHouse is the team’s current streaming store; Terraform for infrastructure-as-code; Rust for high-performance data collection agents.

The Team

This role can sit in our NYC HQ on a hybrid basis, or it can be fully remote while working from a location based in either Eastern or Central time zones. We are looking for an experienced Senior Engineer for our SRE, Atlas team to support, maintain and grow the Atlas platform. As a senior SRE, you will be expected to be able to design & build complex systems, operate with autonomy and act as owner for everything you do. 

The SRE Atlas team works alongside the various Atlas software engineering teams to provide expertise about running systems at scale, build new tooling and automation and perform essential maintenance of the Atlas fleet. 

This is an SRE team, which means you can expect a highly hands-on approach, tackling the technical challenges of implementing large scale solutions that have the ability to impact our customer’s most crucial workloads. 

Role Overview

We are seeking a talented Site Reliability Engineer (SRE) with a strong infrastructure background. This role requires engineers to have a customer-first mindset to ensure that everything we do results in a stronger product and a better experience for all Atlas customers. 

The ideal candidate should

• Have 5+ years of experience running critical systems at scale
• Value efficiency in processes and operations, and display a preference for automation over manual processes (“allergic to ops work”)
• Be familiar with a major cloud provider (AWS, Azure, or GCP) and possess the ability to build and operate systems in a multi-cloud environment
• A strong understanding of how to run a large scale Linux environment, including low level fundamentals 
• Firm grasp of at least one modern programming language, beyond basic scripting (Go, Ruby, Python)
• Solid understanding of web and network protocols and standards (HTTP, TLS, DNS, etc)

Special Requirements:

• Be a US Citizen

Expectations

• Participate in the development of a reliable and resilient multi-cloud platform that hosts business critical applications for a wide & varied range of customer applications
• Collaborate with service-owning teams to provide internal support, solve technical challenges and adapt or build tooling to solve novel use cases in a generic fashion
• Participate in a 24/7 on-call rotation to swiftly resolve issues related to any disruption of our customer facing Atlas fleet, ensuring minimal disruption and high availability

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426187

MongoDB is seeking a Software Engineer to join the Atlas Clusters Fleet Rollout Management team, entrusted with overseeing all software deployments to the Atlas Data Plane. Our core mission is to establish platform stability by owning the complete software lifecycle: encompassing pre-release validation, robust rollout mechanisms, customer configurability and observability, and proactive monitoring systems designed to swiftly detect and mitigate potential issues. 

The Atlas Clusters organization is responsible for the core data plane services that power MongoDB Atlas, the leading multi-cloud database-as-a-service. As a Software Engineer on the team, you will be instrumental in building the next generation of cloud-agnostic, distributed systems that manage the lifecycle of our database clusters, ensuring high availability, performance, and security for millions of users worldwide.

We are looking to speak to candidates who are based in New York and would like a hybrid or in-office working model.

What you’ll do

• Build and design new features for MongoDB Atlas
• Contribute to and lead complex technical projects
• Work with stakeholders throughout MongoDB to build our roadmap and product offerings
• Work with customers and support engineers to fix issues and become part of our on-call rotation 
• Collaborate with team members to develop our codebase, best practices, and design principles
• Foster an inclusive and respectful work environment according to MongoDB's Core Values

We’re looking for someone who

• Has at least 5 years of professional software development experience
• Is skilled at writing large-scale, distributed backend systems in a compiled language (Go, Java, C#, etc.). 
• Has experience with at least one major cloud provider technology (AWS, Azure, GCP)
• Has led the launch of a new critical feature and maintained it in production
• Is eager to solve tough problems
• Has some experience rolling out features to a large product with existing customers
• Has excellent communication skills
• Is curious, collaborative, and motivated

Success Measures

• In 3 months, you'll have shipped code into production and collaborated with the team to solve tough problems
• In 6 months, you'll have contributed to a large project 
• In 12 months, you'll have designed new features, led development work, and become a go-to expert on parts of the system

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req. ID: 1273394194

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.

The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.

This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, remotely in the United States region, or our European office in Dublin.

Responsibilities

• Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB
• Provide internal support for our Kubernetes ecosystem, partnering with engineering teams to help them solve domain-specific problems
• Participate in a 24/7 on-call rotation to resolve critical issues
• Prioritize blameless post-mortems and dedicate engineering time to systemic fixes, ensuring you aren’t paged for the same issue twice

You may be a good fit if you

• Have 6+ years of experience in software development and operating distributed systems
• Are proficient in Go, Python, or a similar language, with a strong commitment to code quality and testing practices (writing unit, integration, and E2E tests)
• Have deep experience using and extending containerization technologies, preferably Kubernetes
• Have a solid understanding of Linux operating system internals and networking concepts (e.g., filesystems, TCP/IP, DNS, TLS)
• Possess a customer focused mindset, treating internal developers as your primary users
• Have strong operational ownership, including a track record of debugging complex production issues and driving them to resolution
• Prefer automation over manual processes ("allergic to ops work")
• We are a small team of software engineers with a strong bias toward building software solutions to eliminate toil

Strong candidates may also have experience with

• Designing and implementing secure, multi-tenant runtime environments from first principles
• Proficiency with Kubernetes ecosystem tools such as Helm, Kustomize, Gatekeeper, Kyverno, and CRDs/Operators, CRI, CSI
• Expertise in cloud infrastructure platforms, including AWS, GCP, or Azure
• Proficiency in provisioning infrastructure using tools like Terraform, Crossplane, and AWS Controllers for Kubernetes (ACK)
• Advanced Linux systems internals and networking concepts specifically relevant to containers, such as namespaces and cgroups

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426182

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.

The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.

This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, or remotely in the United States region.

Responsibilities

• Manage a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers
• Help develop a clear technical vision and comprehensive roadmap for our runtime environment, balancing long-term strategic infrastructure goals with immediate engineering needs
• Contribute through light hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges
• Act as the primary liaison for the Fleet Management team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations

You may be a good fit if you:

• Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams
• Possess a customer-focused mindset, treating internal developers as your primary users
• Value efficiency in processes and operations, and have a track record of optimizing team workflows
• Prefer automation over manual processes ("allergic to ops work"), fostering a culture of building software solutions to eliminate toil
• Have deep technical familiarity with Kubernetes ecosystems, containerization technologies, and modern IaC tooling (e.g., Terraform, Crossplane, or Operators) so you can effectively guide the team's technical decisions
• Excel at translating complex business and engineering requirements into actionable, phased technical roadmaps
• Have a high level of empathy, responsibility, ownership, and accountability
• Excellent verbal and written technical communication skills

Strong candidates may also have experience with:

• Leading major architectural shifts, such as migrating teams from traditional IaC to Operator-driven lifecycle management
• Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
• Designing secure, multi-tenant runtime environments at scale

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426152

What You'll Do:

The Fleet Reliability Operations team is responsible for the day-to-day provisioning, management and uptime of CoreWeave’s ever-expanding fleet of server nodes. Playing a central role in CoreWeave’s growth strategy, this team is on the front line for configuration, updates and remote troubleshooting of our highest tier of supercomputing clusters and their networking, delivery platforms and tools dependencies. You will be in a daily battle with the forces of entropy to maximize the number of nodes CoreWeave can deliver to customers.

We are seeking curious, creative and persistent problem solvers to join our Fleet Reliability Operations team to help us drive batches of server nodes through our provisioning and validation processes while efficiently and effectively troubleshooting node or cluster problems as they arise. This individual will join a team of committed engineers working to deploy nodes as fast as they can be racked and turned on. 

• Configure and maintain large-scale high-performance supercomputing clusters running state-of-the-art GPUs
• Troubleshoot hardware and software issues; escalate and coordinate as needed with data center, network, hardware and platform teams to drive resolution
• Monitor and analyze system performance and take appropriate remediation actions for cloud health
• Approach your work with flexibility and optimism anticipating shifting business and technical priorities
• Create and maintain documentation of team processes, knowledge and best practices for system management
• Think critically about your day-to-day work and work collaboratively to improve team processes and efficiency
• Participate in oncall rotations which include after hours and weekend work

Who You Are:

Minimum Qualifications

• Strong understanding of Linux system administration and internals
• Ability to troubleshoot hardware and software issues and perform system maintenance tasks consistently and reliably
• Software development or scripting languages (bash, python, powershell, etc)

Preferred Qualifications

• 2 + years of experience troubleshooting or administering data center or on-prem infrastructure (servers, storage, network or a mix)
• Grafana, Prometheus, promsql queries or similar observability platforms
• Data center environments including server racks, HVAC systems, fiber trays
• Kubernetes administration
• HPC - administering GPU-related workloads
• Bachelor’s degree in a related field or equivalent experience 

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is $83,000 to $110,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

The Role:

We are looking for a Client Value Partner, CPG—a seasoned industry executive who can bridge the gap between global supply chain strategy and operational excellence. You will act as the primary accountable lead for one of our most strategic global accounts, translating C-level vision into clear, realized value.

As a Partner, you are a "go-to" strategic advisor within our CPG & Retail go-to-market organization. You will move beyond standard customer success to link Celonis capabilities to key outcomes specific to high-volume distribution, logistics, and asset-intensive operations.

You will work in partnership with the Celonis Sales Teams and have full responsibility for the end-to-end value journey of our top-tier customers. You are our customers’ trusted advisor, helping them mobilize resources, achieve their strategic goals, and realize significant value using the Celonis Process Intelligence Platform.

In collaboration with our partners, Product, and Engineering teams, you will drive measurable business impact across complex global networks. You will blend deep industry expertise with a proven strategy consulting skill set to spearhead data-driven transformation at the forefront of one of the fastest-growing tech companies worldwide.

The work you’ll do:

Identify & Frame Value

• Translate Strategy to Operations: Analyze the client's strategic goals (e.g., Network Optimization, Sustainability/ESG, Working Capital Release) and map them to a long-term vision utilizing the Celonis platform.
• Target High-Impact Areas: Architect the "CSCO" or "COO" agenda—moving beyond isolated use cases to optimizing entire value chains, such as Order-to-Cash, Procure-to-Pay, Logistics & Distribution, and Inventory/Asset Management.
• Build the Business Case: Construct robust, board-level business cases that articulate the financial impact of Process Intelligence (e.g., impact on Cost-to-Serve, On-Time-In-Full performance, or Asset Utilization) to C-Suite executives.
• Build demos and strategic roadmaps, leveraging industry benchmarks and best practices in order to embed Celonis as a core pillar of the client's digital supply chain strategy.
• Undertake Value Assessments and communicate the value opportunity and strategic roadmap to C-Level executives.

Realize Value

• Drive Engagement Success: Lead the executive relationship and value workstream for large-scale transformations, ensuring the program effectively delivers on its "digital twin" promise across the global network.
• Orchestrate the Ecosystem: Guide customers on organization design and the maturation of Centers of Excellence (CoE), mobilizing global cross-functional teams (Services, Product, Engineering) to ensure seamless delivery.
• Solve Systemic Challenges: Work cross-functionally to tackle difficult implementation hurdles, helping customers define standards for inventory visibility, fleet/logistics optimization, and enterprise-wide change initiatives.
• Facilitate business value workshops and use Celonis to identify and qualify opportunities for process enhancement in Supply Chain and Finance functions.
• Derive improvement measures in core business functions and initiate improvement actions and enterprise-wide change initiatives.
• Present results and realized value to senior management and C-level executives.

Scale Value

• Codify Best Practices: Turn our client successes into reusable assets, playbooks, and thought leadership for the broader CPG and Distribution practice.
• Mentor & Enable: Act as a senior leader for the team, coaching junior members and managers on executive relationship management, supply chain nuances, and team performance.
• Product Feedback: Serve as the "Voice of the Customer" to our Product teams, ensuring our development roadmap aligns with the specific scale and complexity needs of a global enterprise.
• Responsible for the end-to-end customer value journey, landing, expanding, adoption and renewing.
• Build a strategic expansion roadmap for customers, embedding Celonis Process Intelligence Platform as a strategic business transformation platform in their organization.
• Provide feedback to our product development teams to enhance the Celonis platform and Apps based on new use cases.

The qualifications you need:

• Deep Industry Experience: 15+ years of relevant experience, ideally combining time at a global CPG, Logistics, or Supply Chain-intensive firm with Strategy Consulting. You understand the complexities of moving goods and managing assets at scale.
• Domain Expertise: You possess granular knowledge of the value chain, specifically in areas such as Supply Chain Planning, Logistics & Distribution, Fleet/Asset Management, and Order Management.
• Value Realization Skills: You have a track record of driving large-scale transformation programs. You understand how to impact the P&L through inventory optimization, logistics efficiency, and cash flow improvement.
• Technical Fluency: You understand the modern supply chain stack (SAP S/4HANA, Oracle, TMS/WMS systems) and how to translate Celonis use cases into the customer's specific business landscape.
• Stakeholder Management: Extensive experience presenting to and influencing C-Level executives (CSCO, CIO, CFO). You can navigate complex global organizations and have the power of persuasion through data, facts, and confidence.
• Builder Mentality: You are comfortable working with ambiguity and possess an entrepreneurial leadership style that inspires teams.
• Degree: MBA strongly preferred; Degree in Business, Supply Chain Management, Engineering, or related field required.

Visa sponsorship is not offered for this role.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Lyft is seeking a talented Manager of AV Strategy & Business Operations to join the Lyft Autonomous team. This role sits at the intersection of corporate strategy, financial modeling, and business operations as we scale autonomous vehicle partnerships across the United States and Europe.

The successful candidate will excel at strategic analysis, building financial models, and delivering data-driven insights to inform long-term plans and decision making. This person will work closely with cross-functional teams spanning FP&A, Fleet Operations, Legal, and Marketplace - and will need to operate comfortably across international markets and external partner organizations.

This individual will report directly to the Director of AV Strategy, Lyft Autonomous.

Responsibilities: 

• Strategic Planning & Market Analysis
  • Support ongoing strategic planning and go-to-market efforts across US and global markets.
  • Monitor industry trends, competitive dynamics, and partnership developments to inform Lyft strategic positioning.
  • Synthesize regulatory and political developments to assess impacts to launch plans, partner discussions, and market prioritization.
  • Conduct structured analysis and make data-driven recommendations for strategic choices such as potential investments, partnerships, and other opportunities.
  • Develop board-level materials, strategy presentations, and internal briefings that translate complex workstreams into clear narratives and recommendations.
• Strategic Finance & Financial Modeling
  • Design and build complex financial models to evaluate AV partnership economics, fleet deployment scenarios, and investment opportunities.
  • Support AV planning and decision making by creating short-term and long-term financial projections, scenario analyses, and sensitivity models.
  • Build and maintain commercial P&Ls for individual partnerships and markets, and support investment evaluation and execution, including financial due diligence.
  • Prepare financial analyses for leadership decisions, including total cost of ownership, fleet operations, and infrastructure planning.
  • Prepare deal overviews, investment memos, and board-level reviews for potential AV partnerships and strategic investments.
• GTM Planning & Business Operations
  • Collaborate with European teams and US operations to coordinate launch planning across multiple concurrent markets and AV partners.
  • Develop blueprints for AV deployments, including regulatory engagement, fleet logistics, real estate and infrastructure, and operational readiness.
  • Partner with FP&A, Product, Fleet Operations, Strategy, and Legal teams to support key AV initiatives and autonomous deployments.
  • Support partner management by tracking milestones, identifying blockers, and ensuring alignment between commercial agreements and operational execution.
  • Work closely with fleet operations teams to streamline workflows, improve fleet utilization, and enhance reporting capabilities.

Experience: 

Required

• Bachelor’s degree in Finance, Business, Economics, or related field; MBA or relevant advanced degree is a plus.
• 5+ years of experience in business operations, strategy, finance, or a similar analytical role, ideally within a high-growth tech environment or management consulting.
• Proficiency in financial modeling, forecasting, and data analysis with strong command of Excel, SQL, and data visualization tools.
• Excellent communication skills with proven ability to translate complex financial and strategic concepts for both technical and non-technical audiences.
• Demonstrated experience working with senior leaders and external partners to drive business outcomes.
• Strong analytical mindset with focus on detail, accuracy, and strategic thinking.

Preferred

• 3+ years prior experience with Autonomous Vehicles or adjacent mobility sectors.
• Experience with corporate development, M&A, or investment analysis.
• Experience conducting competitive landscape analysis and capability benchmarking.
• Familiarity with fleet management, asset utilization models, or mobility operations.
• Knowledge of European mobility markets and regulatory environments.
• Experience operating in matrixed or multi-entity organizational structures, particularly across US and international teams.
• Experience preparing board-level materials and executive communications.

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the New York City area is $132,000 - $165,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Lyft is seeking a talented Manager of AV Strategy & Business Operations to join the Lyft Autonomous team. This role sits at the intersection of corporate strategy, financial modeling, and business operations as we scale autonomous vehicle partnerships across the United States and Europe.

The successful candidate will excel at strategic analysis, building financial models, and delivering data-driven insights to inform long-term plans and decision making. This person will work closely with cross-functional teams spanning FP&A, Fleet Operations, Legal, and Marketplace - and will need to operate comfortably across international markets and external partner organizations.

This individual will report directly to the Director of AV Strategy, Lyft Autonomous.

Responsibilities: 

• Strategic Planning & Market Analysis
  • Support ongoing strategic planning and go-to-market efforts across US and global markets.
  • Monitor industry trends, competitive dynamics, and partnership developments to inform Lyft strategic positioning.
  • Synthesize regulatory and political developments to assess impacts to launch plans, partner discussions, and market prioritization.
  • Conduct structured analysis and make data-driven recommendations for strategic choices such as potential investments, partnerships, and other opportunities.
  • Develop board-level materials, strategy presentations, and internal briefings that translate complex workstreams into clear narratives and recommendations.
• Strategic Finance & Financial Modeling
  • Design and build complex financial models to evaluate AV partnership economics, fleet deployment scenarios, and investment opportunities.
  • Support AV planning and decision making by creating short-term and long-term financial projections, scenario analyses, and sensitivity models.
  • Build and maintain commercial P&Ls for individual partnerships and markets, and support investment evaluation and execution, including financial due diligence.
  • Prepare financial analyses for leadership decisions, including total cost of ownership, fleet operations, and infrastructure planning.
  • Prepare deal overviews, investment memos, and board-level reviews for potential AV partnerships and strategic investments.
• GTM Planning & Business Operations
  • Collaborate with European teams and US operations to coordinate launch planning across multiple concurrent markets and AV partners.
  • Develop blueprints for AV deployments, including regulatory engagement, fleet logistics, real estate and infrastructure, and operational readiness.
  • Partner with FP&A, Product, Fleet Operations, Strategy, and Legal teams to support key AV initiatives and autonomous deployments.
  • Support partner management by tracking milestones, identifying blockers, and ensuring alignment between commercial agreements and operational execution.
  • Work closely with fleet operations teams to streamline workflows, improve fleet utilization, and enhance reporting capabilities.

Experience: 

Required

• Bachelor’s degree in Finance, Business, Economics, or related field; MBA or relevant advanced degree is a plus.
• 5+ years of experience in business operations, strategy, finance, or a similar analytical role, ideally within a high-growth tech environment or management consulting.
• Proficiency in financial modeling, forecasting, and data analysis with strong command of Excel, SQL, and data visualization tools.
• Excellent communication skills with proven ability to translate complex financial and strategic concepts for both technical and non-technical audiences.
• Demonstrated experience working with senior leaders and external partners to drive business outcomes.
• Strong analytical mindset with focus on detail, accuracy, and strategic thinking.

Preferred

• 3+ years prior experience with Autonomous Vehicles or adjacent mobility sectors.
• Experience with corporate development, M&A, or investment analysis.
• Experience conducting competitive landscape analysis and capability benchmarking.
• Familiarity with fleet management, asset utilization models, or mobility operations.
• Knowledge of European mobility markets and regulatory environments.
• Experience operating in matrixed or multi-entity organizational structures, particularly across US and international teams.
• Experience preparing board-level materials and executive communications.

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the San Francisco area is $132,000 - $165,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

The construction of fairlife's manufacturing facility in Webster, NY is underway. This state-of-the-art, 750k sq ft, greenfield plant is expected to be operational in late 2025 and will lay the foundation for fairlife's next phase of growth as the leading dairy nutrition provider. While coupling the industry’s latest technologies and fairlife's operational excellence to build this world-class facility, fairlife plans to hire 250 new employees and bring in approximately 5 million lbs. of milk a day, with room to grow over the coming years.

shift schedule:

12 Hour Nights: This is a night shift position, with hours from 6:00 PM to 6:00 AM. The role follows a rotating 2-2-3 schedule: two days on, two days off, three days on, followed by two days off, two days on, and three days off. Team members will work every other weekend, including Friday, Saturday, and Sunday. Shift Differential of $2 per hour for night shift.

Job Purpose:
Assists in compliance with established procedures and maintains effective internal controls over the physical product flow and accounting of inventory, receiving, shipping, and other inventory areas in manufacturing, warehousing (internal and third party), and DC operations.

Responsibilities:

• Adhere to best practices for food safety and quality, along with promoting the fairlife culture of Believe in Better.
• Coordinate the flow of materials and trailers throughout the shipping and receiving operation, maintaining a safe and efficient environment.
• Accurately complete all shipping/receiving documentation, ensuring food safety and quality are prioritized in all actions.
• Utilize Yard Management Software to execute trailer moved and driver communication.
• Accurate receipt confirmations from suppliers, accurate data entry of receipts, accurate shipping documentation of outgoing material to customers, and organized filing of manifests, certificates of authenticity, and bills of lading.
• Communicate and maintain flow of contracted shuttle service to outside warehouses if applicable
• Assist shift supervisor and lead to ensure daily goals are met.
• Be Audit Ready: Have floors, drains, cooler, and posts cleaned as needed.
• Coordinate outbound and inbound material flow to support sustainable inventory levels in our 112,000 sq ft racked storage, and 90,000 sq ft high density ASRS.
• Inform other departments of necessary changes or inventory discrepancies.
• Respond to email correspondence regarding appointment scheduling, routine warehouse questions, and coordination of Powered Industrial Fleet maintenance requests.
• Verify daily yard checks and call out any concerns.
• Assist with common shipping issues and problem solving.
• Communicate with planning and logistics regarding carrier or load issues to ensure expedient resolution.
• Maintain accurate filing system of controlled documents.
• Assist Shipping Supervisor or Warehouse Manager with data collection.
• Perform other duties as assigned.

Skills/Qualifications Required:

• Strong analytical and problem-solving skills.
• Effective communication skills both verbal and written.
• Accuracy and high attention to detail
• Ability to work independently with professional demeanor.
• Excellent computer skills (Word, Excel, Outlook, WMS) and preferred D365 and SAP experience. Any Yard Management Software experience is a plus.
• Self-starter and self-motivated with the ability to complete work assignments based on broad directions with minimal supervision.
• Desired 3 to 5 years of warehouse or manufacturing experience.

Working Conditions and Physical Requirements:

• 12 hours sitting/standing/walking. Position will start off with 8hr shifts, with a gradual ramp up to a 12hr 2-2-3 schedule at steady state.
• Ability to lift up-to 50 lbs.
• Reaching/bending frequently (Re wrap and re stack pallets as needed by hand)
• Exposure to hazards (Forklifts, Electric Pallet Jack, Scissor lift, Pallet wrap machine)
• Temperatures from 34 degrees to 77 degrees

 food safety requirements: 

• Notify supervision of any repairs or adjustments that are required that may affect product quality or food safety.
• Understand, observe, and comply with the handling and usage of the color-coded container policy while in the Production Areas.
• Perform all duties necessary to meet Company, Customer and/or Government requirements/standards as prioritized by the Company.
• Ability to initiate action to prevent the occurrence of nonconformities relating to Food Safety and the Quality of the product, processes, quality system, or safety system.
• Identify and record any problems relating to Food Safety and the Quality of the ingredients, processes, quality system, or safety system.
• Control further processing or delivery of nonconforming products in terms of Food Safety and Quality issues until the deficiency or unsatisfactory condition has been corrected.
• In the event of absence, another employee with the same skill level will assume the duties and responsibilities as required.
• The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform their essential duties. Employees will be subject to temperatures from 34 to over 100 degrees.
• The job is performed indoors on a manufacturing floor.  Exposure to loud noises, dust, dirt, sparks, oil and smoke may occur. Protective safety equipment may be required including, but not limited to,:  hearing protection, bump caps, hair and beard nets, shoes, gloves, hardhat, and safety eyewear as needed.  Activities may include extended periods of standing.

How fairlife Nourishes You

At fairlife, we believe in better — and that includes how we support our people. We offer a comprehensive suite of benefits and wellbeing resources designed to support you physically, emotionally, socially, and financially, both in and out of work.

• Comprehensive medical, dental, and vision coverage
• Supplemental health plans (hospital indemnity, accident, and critical illness insurance)
• Paid Time Off to recharge and support work-life balance
• Paid parental leave & adoption assistance (up to $10,000)
• Parental support & family care benefits, including childcare resources and lactation support
• 401(k) to support retirement planning with up to 9% in employer match
• Wellness reimbursement (up to $500 for qualified wellbeing expenses)
• Employee Assistance Program (EAP) for emotional wellbeing and work-life support
• Company-paid life insurance and short-term disability
• Employer HSA funding (for HDHP participants)
• Tuition reimbursement (up to $10,000) and student loan repayment ($200/month)
• Learning & development programs to unlock your full potential
• Rewards & recognition, matching gifts, free product, and Business Resource Groups

fairlife’s nour!sh program is designed to meet you where you are — supporting your individual wellbeing journey while enabling you to do your best work every day.

position location: Webster, NY

reports to: Warehouse Supervisor

travel requirements: None

exempt/nonexempt: Nonexempt

The construction of fairlife's manufacturing facility in Webster, NY is underway. This state-of-the-art, 750k sq ft, greenfield plant is expected to be operational in late 2025 and will lay the foundation for fairlife's next phase of growth as the leading dairy nutrition provider. While coupling the industry’s latest technologies and fairlife's operational excellence to build this world-class facility, fairlife plans to hire 250 new employees and bring in approximately 5 million lbs. of milk a day, with room to grow over the coming years.

shift schedule:

12 Hour Days: This is a day shift position, with hours from 6:00 AM to 6:00 PM. The role follows a rotating 2-2-3 schedule: two days on, two days off, three days on, followed by two days off, two days on, and three days off. Team members will work every other weekend, including Friday, Saturday, and Sunday.

Job Purpose:
Assists in compliance with established procedures and maintains effective internal controls over the physical product flow and accounting of inventory, receiving, shipping, and other inventory areas in manufacturing, warehousing (internal and third party), and DC operations.

Responsibilities:

• Adhere to best practices for food safety and quality, along with promoting the fairlife culture of Believe in Better.
• Coordinate the flow of materials and trailers throughout the shipping and receiving operation, maintaining a safe and efficient environment.
• Accurately complete all shipping/receiving documentation, ensuring food safety and quality are prioritized in all actions.
• Utilize Yard Management Software to execute trailer moved and driver communication.
• Accurate receipt confirmations from suppliers, accurate data entry of receipts, accurate shipping documentation of outgoing material to customers, and organized filing of manifests, certificates of authenticity, and bills of lading.
• Communicate and maintain flow of contracted shuttle service to outside warehouses if applicable
• Assist shift supervisor and lead to ensure daily goals are met.
• Be Audit Ready: Have floors, drains, cooler, and posts cleaned as needed.
• Coordinate outbound and inbound material flow to support sustainable inventory levels in our 112,000 sq ft racked storage, and 90,000 sq ft high density ASRS.
• Inform other departments of necessary changes or inventory discrepancies.
• Respond to email correspondence regarding appointment scheduling, routine warehouse questions, and coordination of Powered Industrial Fleet maintenance requests.
• Verify daily yard checks and call out any concerns.
• Assist with common shipping issues and problem solving.
• Communicate with planning and logistics regarding carrier or load issues to ensure expedient resolution.
• Maintain accurate filing system of controlled documents.
• Assist Shipping Supervisor or Warehouse Manager with data collection.
• Perform other duties as assigned.

Skills/Qualifications Required:

• Strong analytical and problem-solving skills.
• Effective communication skills both verbal and written.
• Accuracy and high attention to detail
• Ability to work independently with professional demeanor.
• Excellent computer skills (Word, Excel, Outlook, WMS) and preferred D365 and SAP experience. Any Yard Management Software experience is a plus.
• Self-starter and self-motivated with the ability to complete work assignments based on broad directions with minimal supervision.
• Desired 3 to 5 years of warehouse or manufacturing experience.

Working Conditions and Physical Requirements:

• 12 hours sitting/standing/walking. Position will start off with 8hr shifts, with a gradual ramp up to a 12hr 2-2-3 schedule at steady state.
• Ability to lift up-to 50 lbs.
• Reaching/bending frequently (Re wrap and re stack pallets as needed by hand)
• Exposure to hazards (Forklifts, Electric Pallet Jack, Scissor lift, Pallet wrap machine)
• Temperatures from 34 degrees to 77 degrees

 food safety requirements: 

• Notify supervision of any repairs or adjustments that are required that may affect product quality or food safety.
• Understand, observe, and comply with the handling and usage of the color-coded container policy while in the Production Areas.
• Perform all duties necessary to meet Company, Customer and/or Government requirements/standards as prioritized by the Company.
• Ability to initiate action to prevent the occurrence of nonconformities relating to Food Safety and the Quality of the product, processes, quality system, or safety system.
• Identify and record any problems relating to Food Safety and the Quality of the ingredients, processes, quality system, or safety system.
• Control further processing or delivery of nonconforming products in terms of Food Safety and Quality issues until the deficiency or unsatisfactory condition has been corrected.
• In the event of absence, another employee with the same skill level will assume the duties and responsibilities as required.
• The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform their essential duties. Employees will be subject to temperatures from 34 to over 100 degrees.
• The job is performed indoors on a manufacturing floor.  Exposure to loud noises, dust, dirt, sparks, oil and smoke may occur. Protective safety equipment may be required including, but not limited to,:  hearing protection, bump caps, hair and beard nets, shoes, gloves, hardhat, and safety eyewear as needed.  Activities may include extended periods of standing.

How fairlife Nourishes You

At fairlife, we believe in better — and that includes how we support our people. We offer a comprehensive suite of benefits and wellbeing resources designed to support you physically, emotionally, socially, and financially, both in and out of work.

• Comprehensive medical, dental, and vision coverage
• Supplemental health plans (hospital indemnity, accident, and critical illness insurance)
• Paid Time Off to recharge and support work-life balance
• Paid parental leave & adoption assistance (up to $10,000)
• Parental support & family care benefits, including childcare resources and lactation support
• 401(k) to support retirement planning with up to 9% in employer match
• Wellness reimbursement (up to $500 for qualified wellbeing expenses)
• Employee Assistance Program (EAP) for emotional wellbeing and work-life support
• Company-paid life insurance and short-term disability
• Employer HSA funding (for HDHP participants)
• Tuition reimbursement (up to $10,000) and student loan repayment ($200/month)
• Learning & development programs to unlock your full potential
• Rewards & recognition, matching gifts, free product, and Business Resource Groups

fairlife’s nour!sh program is designed to meet you where you are — supporting your individual wellbeing journey while enabling you to do your best work every day.

position location: Webster, NY

reports to: Warehouse Supervisor

travel requirements: None

exempt/nonexempt: Nonexempt

At Factory Direct Enterprises LLC d/b/a Ashley (FDE) we are committed to "Amazing" our Team Members by supporting their journey toward becoming their best selves. This commitment is reflected in our competitive compensation, benefits, culture, and growth opportunities, all of which align with our vision of being the employer of choice in every community we serve.

Who We Are:

#1 Selling Furniture Brand in the World#1 Retailer of Furniture and Bedding in the United States

As an industry leader, we offer the best compensation package in the furniture industry, including:

• Competitive Base Salary range, between $80,000 to $100,000, annually based on qualifications and relevant experience.
• Company Bonus Program: Earn up to 10% bonus potential based on personal and company performance
• 401(k) Program with a company match.
• Paid Time Off and Holiday Pay, including your birthday.
• Medical, Dental, and Vision Benefits starting as low as $25 a week.
• Referral Bonuses: Earn up to $1,000 for referring qualified candidates for open positions.
• Competitive Advantage: Eligibility for the FDE G3 Profit-Sharing Program, designed to reward disciplined execution, responsible growth, and shared company success through annual incentive payouts

Our Culture and Team Member Programs: 

At FDE, we pride ourselves on a culture of recognition and growth. We believe in investing in our team and value their feedback through programs like Employee Surveys. Our Ashley Cares programs highlight our commitment to our team, our guests, and our communities, including:

• Hope to Dream: For every mattress sold, a portion of the proceeds is used to purchase and donate beds to children in need (ages 3-16).
• Give a Day: Every Team Member is encouraged to volunteer for one day per year with an approved organization, and we'll pay you for that day.
• Corporate Chaplains: Providing support in areas such as grief care, hospital visits, marriage and parenting support, aging parents, and stress management.
• Life Resources: Quarterly events supporting Team Members in areas like finances, relationships, health, and wellness.
• Team Member Relief Fund: Offering financial support for unexpected life events.
• SmartDollar: A FREE financial wellness program to help you budget, reduce debt, and save for the future.

About This Role:

The Regional People Partner serves as a strategic, field-facing partner to store and regional leadership, responsible for driving team performance, engagement, and retention across assigned locations. This role operates primarily in-store, building strong relationships and influencing outcomes through coaching, data insights, and a people-first approach.

Focused on elevating the overall team member experience, the Regional People Partner identifies opportunities to improve onboarding, strengthen leadership effectiveness, and enhance engagement and retention. This role bridges strategy and execution, ensuring that people initiatives are not only designed, but effectively implemented and sustained in the field.

Working in close partnership with Human Capital People Operations, this role focuses on influencing outcomes rather than administering HR processes, helping leaders build high performing, engaged, and stable teams.

Essential Functions

Strategic Partnership & Field Leadership Support

• Partner with Regional Sales Directors and store leadership to align people strategies with business goals and performance outcomes.
• Serve as a trusted partner to leaders, providing coaching and guidance on team performance, engagement, and retention.
• Translate business needs into actionable people strategies that improve team effectiveness and stability.
• Support organizational and cultural initiatives, ensuring adoption and consistency across locations.

Engagement, Culture & Team Member Experience

• Own the engagement and culture health of assigned stores through consistent in-field presence.
• Analyze engagement survey results, feedback, and store insights to identify trends and drive targeted action plans.
• Partner with leaders to strengthen communication, trust, and team connection.
• Reinforce company values and leadership behaviors to build a high-performing, people-first culture.

Performance Enablement & Talent Development

• Support leaders in improving team performance through coaching, feedback, and development.
• Identify performance gaps tied to engagement, onboarding, or leadership effectiveness and implement solutions.
• Collaborate with the Training team to create and deploy strategic learning solutions that close performance gaps, enhance leader effectiveness, and drive measurable business outcomes across the region.
• Reinforce learning and development initiatives and ensure consistent execution at the store level.
• Contribute to building leadership capability and bench strength across the region.

Team Member Programs & Engagement Initiatives

• Drive awareness, adoption, and participation in team member engagement programs, including Ashley Cares initiatives.
• Partner with leaders and ambassadors to ensure programs are effectively executed and impactful at the store level.
• Use storytelling and visibility to reinforce purpose, connection, and community across teams.

Team Member Relations & Communication

• Provide guidance and support to leaders on team member concerns, performance conversations, and policy application.
• Act as a liaison between store teams and Human Capital People Operations to ensure alignment and resolution of issues.
• Support clear, consistent, and transparent communication across all levels of the organization.

Data, Insights & Continuous Improvement

• Monitor and analyze key people metrics including engagement and turnover to identify trends, uncover root causes, and drive targeted action plans that improve team performance and retention.
• Translate data and field insights into clear, actionable recommendations for leaders.
• Support process improvements that enhance the effectiveness and consistency of people initiatives in the field.

Schedule Expectations

• Monday-Friday Office Hours
• Store Visits to Fleet of Stores across NJ, NY, CT, Long Island
• Regional travel to support store visits, leadership coaching, and team engagement initiatives.

Education & Experience Requirements

Education:

• Bachelor’s degree in Human Resources, Business Administration, Organizational Development, or related field preferred.
• PHR, SPHR, SHRM-CP, or SHRM-SCP certification preferred.

Experience:

• 5+ years of Human Resources experience.
• Minimum of 2–3 years in an HR Business Partner or strategic HR role.
• Experience supporting multi-site operations, preferably in a retail or distributed workforce environment.
• Demonstrated success in employee relations, engagement strategy, performance management, compliance, and workforce analytics.
• Experience influencing and coaching senior and mid-level leaders.

Skills:

• Critical thinking and problem-solving skills to address workplace challenges effectively.
• Professional presence and ability to build trust and credibility with team members and leadership.
• Strong business acumen with the ability to align human capital strategy to operational goals.
• Exceptional relationship-building and stakeholder management skills.
• Strong analytical skills with the ability to translate data into actionable strategies.
• Knowledge of employment law and HR compliance standards.
• Effective conflict resolution and investigative skills.
• Strong organizational skills with the ability to manage multiple priorities.
• Ability to travel regularly within assigned region.

Part and Full Time candidates are welcome to apply! 

Shifts:

• 6am - 2pm Friday - Tuesday
• (OVERNIGHT) 10pm to 6am Saturday & Sunday 
• 6am - 2pm Saturday & Sunday

Job Summary:

Veo seeks operations professionals  who are passionate about providing riders with excellent experience by maintaining our vehicles and continually improving the efficiency of our fleet operations. E-Scooter Delivery Drivers locate, swap batteries, and rebalance vehicles throughout the city and perform quality checks and minor repairs.

The ideal candidate for this role will be a team player who loves to solve problems, work with their hands, and be active throughout an entire shift.

Responsibilities:

• Follow the mobile App instruction to complete shift tasks
• Drive a company’s van to find scooters and swap battery 
• Rebalance scooters from low demand to high demand areas
• Perform basic repair and quality check 
• Respond to on-demand requests to locate/retrieve scooters
• Other duties as assigned

Qualifications & Skills:

• 21+ years old
• Valid driver license and acceptable driving record
• Have a smartphone and be App-savvy
• Ability to lift up to 60 lbs scooters without assistance 
• Good communication  and attention to detail

Nice to Haves

• Knowledge of the local geography and street layout 
• Flexible schedule including early morning, night, and weekend shifts
• Related experience in warehouse, manufacturing, delivery, etc.

Perks:

• Competitive hourly wage
• Opportunity to work in a fast-paced, early stage technology company
• Veo credits
• Flexible work hours
• Full time employees are eligible for: Medical/dental/vision coverage, PTO 

#VEO2026

Hudson River Trading (HRT) is seeking a Windows Systems Engineer to join our Enterprise Engineering team. In this role, you will help scale HRT’s global hybrid Windows deployment and develop automation, configuration-as-code, and infrastructure-as-code solutions to seamlessly manage fleets of top-of-the-line user endpoints, mission critical servers, cloud infrastructure, and secure remote computing environments around the world. You will apply configuration-as-code practices to reduce operational overhead, build PowerShell-based systems that improve platform stability and resilience, and enhance the reliability of our Windows platform by designing and implementing automation that identifies and resolves technical inefficiencies across on-premises and Azure infrastructure.

The ideal candidate is a Microsoft-based technology engineer and eager problem solver who is comfortable working in a fast-paced environment. Terrific communication and collaboration skills, as well as a positive attitude towards team members and internal customers, are crucial to success within this role. 

Responsibilities

• Leverage configuration-as-code paradigms to reduce the operational overhead of managing Windows infrastructure
• Use infrastructure-as-code to consistently configure Microsoft Azure resources
• Develop PowerShell-based systems to automate operational tasks and enhance the reliability of the Windows platform
• Leverage automation to identify and remediate technical inefficiencies across Windows endpoints, Windows infrastructure, and Microsoft Azure resources
• Participate in ongoing engineering, maintenance, and support efforts to improve the Windows environment

Qualifications

• 10+ years of experience as a Microsoft-based technology engineer
• Experience using Ansible (or similar configuration-as-code tool) to manage a fleet of Windows devices
• Proven ability to provision Microsoft Azure resources with Terraform
• Proficiency with Microsoft Graph API development
• Experience developing scripts and tools using PowerShell
• Familiarity with Microsoft Intune, Autopilot, Entra ID, and Active Directory
• A general design approach that incorporates security best practices, business continuity, high availability, and scalability
• A self-motivated and driven work ethic

The estimated base salary range for this position is 150,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is seeking a Software Engineer focused on GPU reliability to join our Systems Development team. The Systems Development team builds and maintains the platform that is shared by all Systems teams to provision, monitor, and manage HRT’s server and network infrastructure. In this role, your main focus will be to develop tools in Python to analyze the performance of GPU hardware and build creative solutions to improve observability, reliability, and efficiency of the fleet. You’ll work closely with other engineering teams to deeply understand research and trading workflows and ensure that GPU infrastructure is utilized optimally. Strong Python skills and development experience are required, along with Unix experience and a background of managing GPU hardware at scale.

Responsibilities

This role offers a unique opportunity to make a significant impact on a critical part of our existing and growing infrastructure. Your responsibilities may vary day to day, but will include:

• Building and maintaining tools and software features to automate systems engineering workflows related to GPU management, monitoring, metrics collection, maintenance, and network configuration
• Troubleshooting software and hardware bugs on a fleet of GPU devices, including application, network, operating system, and/or kernel issues
• Working across HRT’s engineering teams to tune workloads and processes to use GPUs more efficiently 
• Analyzing GPU job statistics to identify trends and areas for improvement

Qualifications

Required:

• BS and/or MS in computer science or a related field
• 2+ years of relevant experience, including programming in Python and managing GPUs
• Experience using automation to solve problems and improve process efficiency
• Experience working with, troubleshooting, tuning, and deploying various types of GPU hardware
• Strong grasp of computer science fundamentals and software design patterns
• Solid understanding of Linux/UNIX operating systems 
• Familiarity with open-source software
• Ability to debug and analyze problems quickly
• Skilled at balancing multiple tasks while maintaining meticulous attention to detail
• Ability to operate effectively as a team player and also work independently 
• Ability to learn at a fast pace and apply new skills effectively

Preferred:

• Understanding of Debian operating system
• Familiarity with systems configuration management and monitoring technologies 
• Familiarity with continuous integration and continuous deployment tools and processes
• Understanding of networking protocols

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. 

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

Hudson River Trading (HRT) is seeking a Windows Systems Engineer to join our Enterprise Engineering team. In this role, you will help scale HRT’s global hybrid Windows deployment and develop automation, configuration-as-code, and infrastructure-as-code solutions to seamlessly manage fleets of top-of-the-line user endpoints, mission critical servers, cloud infrastructure, and secure remote computing environments around the world. You will apply configuration-as-code practices to reduce operational overhead, build PowerShell-based systems that improve platform stability and resilience, and enhance the reliability of our Windows platform by designing and implementing automation that identifies and resolves technical inefficiencies across on-premises and Azure infrastructure.

The ideal candidate is a Microsoft-based technology engineer and eager problem solver who is comfortable working in a fast-paced environment. Terrific communication and collaboration skills, as well as a positive attitude towards team members and internal customers, are crucial to success within this role. 

Responsibilities

• Leverage configuration-as-code paradigms to reduce the operational overhead of managing Windows infrastructure
• Use infrastructure-as-code to consistently configure Microsoft Azure resources
• Develop PowerShell-based systems to automate operational tasks and enhance the reliability of the Windows platform
• Leverage automation to identify and remediate technical inefficiencies across Windows endpoints, Windows infrastructure, and Microsoft Azure resources
• Participate in ongoing engineering, maintenance, and support efforts to improve the Windows environment

Qualifications

• 10+ years of experience as a Microsoft-based technology engineer
• Experience using Ansible (or similar configuration-as-code tool) to manage a fleet of Windows devices
• Proven ability to provision Microsoft Azure resources with Terraform
• Proficiency with Microsoft Graph API development
• Experience developing scripts and tools using PowerShell
• Familiarity with Microsoft Intune, Autopilot, Entra ID, and Active Directory
• A general design approach that incorporates security best practices, business continuity, high availability, and scalability
• A self-motivated and driven work ethic

The estimated base salary range for this position is 150,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is seeking a curious, innovative Security Engineer to join our Enterprise Security team and help safeguard the infrastructure behind one of the world’s most demanding trading environments, with a focus on both performance and resilience. This role spans system hardening across infrastructure and Windows, Linux, and macOS endpoints, ownership of a comprehensive vulnerability management program, securing SaaS deployments, maintaining an enterprise-grade open source PKI platform, and strengthening identity and access management.

You will have significant autonomy to shape HRT’s global cybersecurity systems, building solutions that scale without compromising performance. The role requires broad experience across enterprise security domains and a pragmatic approach to integrating security into development workflows, emphasizing defense-in-depth while minimizing friction for developers.

Responsibilities

• Apply security baselines and harden systems across a diverse fleet of enterprise endpoints and servers (Windows, Linux, macOS)
• Own and evolve our vulnerability management program, including risk prioritization and remediation workflows
• Design and operate Identity and Access Management (IAM) solutions at enterprise scale
• Secure and manage key enterprise SaaS platforms and their security controls
• Build and scale an enterprise-grade public key infrastructure (PKI)
• Leverage configuration management and infrastructure as code to enforce security controls, prioritizing automation over manual processes

Qualifications

• 5+ years of experience in security engineering
• Proficiency in Python
• Experience hardening enterprise endpoints across Windows, Linux, and macOS
• Strong experience with vulnerability management tools and processes, including risk prioritization and remediation workflows
• Experience securing and managing enterprise SaaS platforms
• Experience designing and operating Public Key Infrastructure (PKI) systems (Smallstep a plus)
• Experience designing and maintaining Identity and Access Management (IAM) solutions
• Experience integrating security into CI/CD pipelines and building automated controls for infrastructure
• Familiarity with software supply chain security

The estimated base salary range for this position is 150,000 - 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

The Systems Development team builds and maintains the platform that is shared by all Systems teams to provision, monitor, and manage HRT’s server and network infrastructure. As a Systems Software Engineer with a focus on Security, your main focus will be tool development in Python and Go to engineer creative solutions to security challenges. You’ll improve and integrate our existing tools and libraries across the platform, as well as design and build new ones to make trading, research, installation, and monitoring systems easier to manage, more secure, and more reliable. Strong Python skills and development experience are required, along with Unix experience and interest in the security space.

This role offers a unique opportunity to make a significant impact on a critical part of our existing and growing infrastructure. Your responsibilities will vary, but a typical day in the life might look like:

• Building and maintaining tools and software features to automate systems engineering workflows related to secure machine provisioning, monitoring, metrics collection, maintenance, secrets management, and network configuration
• Troubleshooting software bugs on a fleet of Linux machines, including application, network, operating system, and/or kernel issues
• Writing configuration management code to build, deploy, and maintain new services
• Helping to set the general direction for the Systems Python platform
• Working across HRT’s engineering teams to help create solutions to a variety of security challenges

Qualifications

Required:

• Strong Python programming
• Ability to debug and analyze problems quickly
• Ability to learn at a fast pace and apply new skills effectively
• Strong grasp of computer science fundamentals and software design patterns
• Solid understanding of Linux/UNIX operating systems 
• Interest in and awareness of security best practices

Preferred:

• Understanding of Debian operating system
• Familiarity with systems configuration management and monitoring technologies 
• Familiarity with continuous integration and continuous deployment tools and processes
• Understanding of networking protocols

Profile

• BS and/or MS in computer science or a related field
• 2+ years of relevant experience, including programming in Python
• Experience using automation to solve problems and improve process efficiency
• Acts effectively as a team player, but also works well independently 
• Skilled at juggling multiple tasks while maintaining meticulous attention to detail
• Familiarity with open-source software

At Coast, we're building the financial infrastructure powering America's fleets. AI is fundamentally changing how fleets run their financial operations, and we're shaping the tools this new era requires.

Founded in 2020, Coast has become the payments and expense management platform of choice for the 500,000 fleets and 40 million vehicles that keep the country moving — giving fleet owners and operators control, visibility, and trust over how their businesses spend. 

Simplicity is our competitive advantage. In an industry where complexity is the norm, we're building something opinionated and focused: software that field workers and fleet managers actually want to use. Every member of our fully co-located team is a builder who cares deeply about bringing modern, well-crafted tools to the trades — an industry that's been underserved for too long. This mindset drives everything we do, from product decisions to hiring choices.

We're looking for a Head of Design to join the team.

In this role, you will lead by making, not managing. Someone who sets direction, establishes standards, and grows a team while staying close to the work. This is a true player-coach role: you'll lead a small but talented design team while also acting as the primary designer on one of our product squads. We don't need a design politician or a gatekeeper. We need someone in builder mode — opinionated, hands-on, and excited to shape what great looks like at Coast from the inside out.

Location & work mode

Coast is an in-person company. This role is based out of our New York City office, where our full team works together day to day. We believe great products are built by people who are in the room together — collaborating closely, moving fast, and holding each other to a high bar.

What you'll do

• Pair closely with engineering and product to initiate and complete roadmap projects, no hand-offs
• Spot opportunities to redesign or refine key screens and flows, as well as smaller quality issues and “paper cuts” as you use Coast
• Create mockups, prototypes, and high-fidelity visuals to communicate ideas and describe their execution
• Guide and inspire fellow designers through collaborative critique of work-in-progress
• Use and improve our lightweight design system components
• Help with hiring new teammates that can elevate our team and product

What we’re looking for

• 10+ years designing software, with at least 3+ years leading a design team
• A track-record of demonstrating both systems thinking and exceptional craft
• Ability to drive quality, business impact, and delight across a portfolio of products
• A player-coach mentality — you lead by doing, not just directing
• Courage to ask questions, experiment, and advocate for what you feel is right
• Humility to accept feedback, adapt your thinking, and iterate toward the best solution
• Experience with prototyping in Figma (and beyond with tools like AI, HTML/CSS)
• Ability to distill problems and feedback, then design clear, focused solutions
• Capable of transforming existing design processes into AI-assisted workflows
• Effective written and verbal communication skills

What we offer

You'll have a high-impact role with real ownership and the opportunity to shape the future of Coast’s products and services

• Competitive salary ($240,000 - $260,000) and equity 
• Company-sponsored 401(k)
• Medical, dental, and vision insurance
• Flexible paid time off (vacation, personal well being, paid holidays)
• Paid parental leave
• $400 accessories allowance (a keyboard, mouse, headphones, etc.)
• Education stipend
• Tools to help manage your financial wellness, including webinar, and access to an equity tax advisory service 
• Free lunch on Fridays

Learn how we think

• The $40M push to modernize fleet payments podcast with our founder and CEO, Daniel Simon
• Fueling the Financial Operating System for Fleets: Our Partnership with Coast ICONIQ Series B blog post

The Manager, Social Content & Community is a critical creative and strategic leader responsible for how Studs shows up on social media, drives cultural relevance, and nurtures a growing community of fans and creators. This role owns our organic content strategy, execution, and engagement across platforms, with a special focus on Instagram and TikTok. As both a maker and a manager, this person will elevate our brand voice, expand reach, and help Studs remain a category-defining brand in Gen Z and millennial culture.

This is a high-output, high-collaboration role that partners closely with Integrated Marketing, Creative, CX, Merchandising, and Retail teams to activate campaigns, amplify piercing content, and drive customer engagement in-platform and IRL.

Success is measured by content output, engagement, and the ability to translate cultural moments and studio activity into work that earns attention.

Salary Range: $100,000 - $125,000

Key Responsibilities:

Platform & Content Strategy 

• Own the day-to-day strategy, execution and calendar planning for all organic social platforms (primarily Instagram and TikTok), aligned to business goals and brand priorities
• Plan and produce high-performing native content across platforms, with a strong POV on trends, tone, and platform-specific creative best practices
• Partners with Marketing, Merchandising and Retail Ops on launches, campaigns, and brand moments 

In-Studio and Real-Time Capture

• Concept, shoot, edit, and publish original video content (e.g., piercing transformations, product styling, educational or trend content) directly in-platform
• Spends regular time in NYC studios capturing content alongside studio teams, building relationships that make on-the-ground filming sustainable
• Builds repeatable systems for sourcing, capturing, and editing studio content across the Studs fleet at volume without sacrificing quality
• Aligns content output to the brand’s core formats: piercing transformations, “come with me” moments, education on healing, safety, and styling, and campaign or cultural tie-ins
• Write all social copy and ensure brand voice consistency across posts, captions, and community engagement

Community and Creator Strategy

• Manage day-to-day engagement across platforms including responding to comments and engaging with tagged content and community posts in a timely manner
• Curate and manage a small community of content creators—brief, contract, and pay creators for monthly content programs

Performance and Iteration

• Track performance across all channels, reporting weekly and monthly against KPIs
• Identify insights, trends, and audience behavior changes that inform creative and programming direction
• Adapt content approach quickly when platform format dynamics shift
• Bring a clear POV on what makes organic content perform and uses it to challenge and continuously refine our approach

Requirements:

• 4–6+ years running organic social for a consumer brand or agency, with proof of work on Instagram and TikTok
• Based in the NYC area, with availability for 3 days/week in corporate HQ plus 1–2 days/week in NYC studios
• Deep fluency in TikTok and Instagram with hands-on experience editing and producing native content
• Passion for earrings, piercings, and brand-forward creative expression
• Highly self-directed, organized, and detail-oriented; thrives in a fast-paced, high-output environment
• Clear communicator and natural collaborator; able to align across teams while owning execution
• “No task too small” mindset paired with strong creative instincts and editorial judgment

Benefits & Perks

• Flexible Work Environment (3 days in office, 2 days work from home)
• Comprehensive Medical, Dental, and Vision Insurance (including a plan option with $0 in-network mental health visits)
• Access to Mental Health and Work/Life Resources including Online Therapy, Gender Affirmation Support Services, and Employee Assistance Program (EAP)
• Voluntary Life Insurance
• Health and Commuter Tax-Advantaged Accounts
• Stock Options in connection with the Company’s Equity Incentive Plan
• 401(k) Retirement Savings Plan
• Paid Time Off, Paid Safe & Sick Leave, and Paid Parental Leave
• Paid Sabbatical After 4 Years of Service
• Exclusive Employee Discounts on Piercings and Jewelry (we’ve got your friends and family covered too!)
• Access to PerkSpot and additional benefits such as pet insurance, discounted tickets, personal finance coaching, healthy rewards, and more!

About the role

Anthropic runs some of the largest Kubernetes clusters in the industry. We have fleets of hundreds of thousands of nodes across multiple cloud providers and datacenters to train, research, and serve frontier AI models. The Kubernetes Platform team owns the Kubernetes control plane that makes those clusters work.

We are operating at a scale where the defaults stop working. We own the scheduler and extend it to place topology-sensitive ML workloads across thousands of accelerators at once. We scale the control plane itself — apiserver, etcd, controllers — so it stays responsive as object counts and node counts grow by orders of magnitude. And we build the core cluster services every workload depends on, like service discovery, so they hold up under the same pressure.

We make sure the control plane is fast, correct, and always available. Your work will directly determine whether Anthropic can keep reliably and safely training frontier models as our compute footprint continues to grow.

Key responsibilities

• Own, operate, and extend the Kubernetes scheduler for Anthropic's accelerator fleets, including custom scheduling plugins and policies for gang scheduling, topology awareness, and preemption
• Scale the Kubernetes control plane (apiserver, etcd, controller-manager) to support clusters far beyond typical limits, and find the next bottleneck before it finds us
• Design, build, and operate core cluster services such as service discovery that every workload in the fleet depends on
• Build and maintain custom controllers, operators, and CRDs
• Partner with research, training, and inference to understand workload shapes and turn their requirements into platform capabilities
• Collaborate with cloud providers on required features and escalations
• Participate in on-call, lead incident response, and design processes (postmortems, runbooks, SLOs) that help the team avoid repeating failures

Minimum qualifications

• Significant software engineering experience building and operating production distributed systems
• Proficiency in at least one systems-appropriate language (e.g., Go, Python, Rust, or C++)
• Deep, hands-on Kubernetes experience (well beyond "user of”) into scheduler, controllers, apiserver, or operating large multi-tenant clusters
• Demonstrated ability to debug complex issues across the stack, from API behavior down to node and network-level root causes
• A track record of designing for reliability, correctness, and clear failure semantics in systems other engineers depend on
• Strong written and verbal communication; comfort building consensus with internal stakeholders

Preferred qualifications

• Experience with Kubernetes internals or contributions: kube-scheduler / scheduling framework, apiserver, etcd, client-go, controller-runtime, or similar
• Experience building or operating cluster schedulers or batch systems (e.g., Kueue, Volcano, Slurm, or in-house equivalents)
• Background scaling control planes or coordination systems (etcd, ZooKeeper, Consul, or large DNS/service-mesh deployments)
• Familiarity with ML infrastructure: GPUs, TPUs, or Trainium; gang scheduling; topology-aware placement; collective networking such as NCCL
• Experience with GCP and/or AWS, including GKE/EKS internals and Infrastructure as Code
• Low-level systems experience such as Linux kernel tuning, cgroups, or eBPF
• 8+ years of relevant industry experience, including time leading large, ambiguous infrastructure projects

At CoreWeave, we don’t box people into rigid job titles—we look for exceptional engineers and match them to the work that excites them most. Instead of measuring you against a narrow checklist of qualifications, we hire based on broad technical domains and use our interview process to determine where you’ll have the biggest impact.

Tell us what interests you most, and throughout the hiring process, we’ll get a sense of your strengths, expertise, and aspirations. If you join CoreWeave, you’ll land on the team where you can do your best work—driving innovation, solving complex problems, and shaping the future of cloud computing.

What You’ll Do:

At CoreWeave, infrastructure isn’t just a foundation, it’s a product. We build scalable, high-performance computing systems that power the largest AI workloads in the world. We’re looking for Engineers that thrive at the intersection of software and systems, deploying and managing large scale bare metal compute.

Within this domain, you’ll design and build software that manages complex infrastructure across globally distributed datacenters. Working in Go, Python/Ansible, deep in Linux environments, observability/monitoring stacks, and leveraging technologies like gRPC and Kubernetes CRDs/Controllers/Operators. Whether you’re automating bare metal, building fleet lifecycle management services, solving multi-layer integration challenges, or observing our globally distributed fleet, your work will be critical to the company's delivery of reliable and efficient infrastructure.

You’ll join a high-performing, communicative, and supportive team, solving complex problems at hyperscale, deploying purpose built AI across the world. 

About the role:

• Design and implement solutions to problems of scale for multi-site deployment and management of CoreWeave’s global server hardware fleet.
• Build and maintain backend services and APIs (gRPC/REST) in Go or Python to interact with Kubernetes and other infrastructure systems.
• Develop provisioning services, automation workflows, and fleet management tools that span from bare metal to container orchestration.
• Write and maintain Kubernetes custom controllers and operators to automate infrastructure behavior.
• Design and implement observability solutions for large-scale server monitoring to improve system stability and insight.
• Adapt and extend open source tooling to enhance visibility into system metrics, performance, and health.
• Create test plans, deployment automation, dashboards, alerts, and insights into our fleet operations.
• Resolve integration challenges across the entire infrastructure stack, from data center hardware to orchestration platforms.
• Participate in an on-call rotation.

Investing in our people is one of our top priorities, and we value candidates who can bring their diversified experiences to our teams. Here are some qualities we’ve found compatible with our team. We'd love to talk about whether this aligns with your experience and interests and what you’re excited to work on next.

Who You Are

Minimum Qualifications

• 5+ years of experience in software or infrastructure engineering.
• Proficiency in Go and/or Python software development.
• Familiarity with CI/CD tools like Argo, Flux, and GitHub Actions.
• Strong understanding of Linux internals.

Preferred Qualifications

• Experience designing, implementing, and monitoring Kubernetes operators for custom resource definitions.
• Experience with infrastructure automation and configuration management tools like Ansible, Puppet, Chef, Salt.
• Experience with distributed cloud computing principles, including testing strategies, observability, error budgets, and fault-tolerant design.
• Experience implementing metrics pipelines, custom alerts, and monitoring strategies.
• Ability to break down complex problems into achievable tasks and collaborate with teammates to execute them.
• Willingness and ability to thrive in a fast-paced startup environment.

Examples of teams you might join at CoreWeave

Fleet Provisioning Automation: Automation is key to delivering reliable GPU compute to clients. On this team you’ll write Go microservices and extend Kubernetes custom resources and operators to deliver and monitor cutting-edge computing platforms. Ensuring new compute hardware is ready to deploy, and monitor existing hardware across our growing datacenter footprint. 

Fleet Monitoring & Analysis: Our customers's AI workloads push our physical infrastructure to the limit. This team is solving our fleet monitoring, visibility and self-healing problems at scale. We develop, collect and correlate metrics to engineer observability solutions, utilizing technologies like Go, Prometheus, Grafana, and Kubernetes.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base pay for this position range from $139,000 to $242,000 accordingly. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. This position includes a discretionary bonus, equity, and a comprehensive benefits package.

About This Role

CoreWeave is building one of the world's largest AI-focused cloud infrastructure platforms. We're standing up new data centers at an extraordinary pace, and the complexity of planning, tracking, and orchestrating each build demands purpose-built tooling that doesn't exist today.

We're forming a new team dedicated to building that tooling in-house. The goal: a high-performance internal platform that gives network engineers, fleet engineers, and operations, and other infra teams the ability to plan, visualize, and manage massive amounts of infrastructure across hundreds of sites.

As a senior backend engineer on this team, you'll help design, build, and own the data layer, APIs, and services that power these tools.  The goal is to build bespoke software to model our infrastructure at both a physical and logical level to drive planning, coordination, automation, of some of the most advanced AI datacenters.  

The team will also include frontend engineers that you will need to work closely to bring rich user experiences built on top of your backends.. You'll also own how these services are deployed and run in production including scaling, redundancy and monitoring .

What You'll Build

• Data models and APIs that capture the complexity of datacenter infrastructure: devices, connectivity, cabling, power, cooling, and spatial relationships across racks, rows, and floors. The schema needs to be expressive enough to model reality and performant enough to query at scale.
• High-throughput API services in Go (gRPC, GraphQL, and/or REST) that support the data density and interaction speed the frontend demands, including complex filtering, aggregation, and bulk operations across large datasets.
• The backend architecture from the ground up: service structure, data access patterns, caching strategy, and API contracts designed to scale with the team and product scope.
• Integrations with internal/external systems and data sources that feed infrastructure planning, ensuring the platform reflects real-world state and planned builds accurately.
• Deployment and operational infrastructure for the services you build, including Kubernetes manifests, CI/CD pipelines, observability, and reliability practices.

What We're Looking For

Core Technical Skills

• Strong proficiency in Go. You should be comfortable writing performant, well-structured services and have opinions about how to organize a Go codebase as it grows.
• Deep experience with relational databases, specifically PostgreSQL and CockroachDB. You should understand query planning, indexing strategies, schema design for complex relational data, and how to keep queries performant as data grows to millions of rows.
• Experience designing and building APIs (gRPC, GraphQL, and REST) with attention to type safety, pagination, caching, filtering, and error handling. You'll be shaping API contracts directly with the frontend engineer, so you need to understand what makes an API pleasant and performant to consume.
• Proven experience of performance optimization on the backend: query optimization, connection pooling, caching layers, profiling under load, and understanding where bottlenecks actually live rather than where you assume they are.

Familiarity with authentication, authorization, and backend security best practices for internal tooling.

• Experience owning deployment and operations for the services you build: Kubernetes, CI/CD pipelines, monitoring, alerting, and incident response. You ship it, you run it.

Domain & Problem-Solving

• Genuine curiosity about (or direct experience with) physical datacenter infrastructure. The ideal candidate has a working understanding of servers, GPUs, network switches, optical transceivers, structured cabling, power distribution, and cooling. You don't need to be a network engineer, but you should be someone who finds this domain interesting and wants to understand how these systems relate and fit together.
• Strong data modeling instincts. The hardest problem on this team is capturing the real-world complexity of datacenter infrastructure in a schema that's both accurate and capable of evolving.
• Ability to work directly with infrastructure engineers (the end users of what you build) to understand their workflows, identify pain points, and translate messy real-world processes into clean data models and APIs.
• Comfort working on a newly formed team where you'll be making early architectural decisions that compound over time. We need someone who is deliberate about tradeoffs and can move quickly without being reckless or sacrificing performance.

Experience & Leadership

• 5+ years of professional backend engineering experience, with meaningful senior-level ownership of production systems and the data layers behind them.
• Strong communication skills. You'll be working across network engineering, fleet engineering, operations, frontend, and design. You need to clearly explain technical decisions and advocate for backend considerations in cross-functional discussions.
• Strong sense of ownership for the systems you build and the people who depend on them.

Nice to Have

• Direct experience with datacenter operations, infrastructure planning, or familiarity with DCIM tools like NetBox, Infrahub or Sunbird.
• Experience with CockroachDB specifically, including its distributed SQL model and operational characteristics.
• Experience building systems that handle complex graph-like or hierarchical relational data (asset trees, network topologies, dependency graphs).
• Exposure to Infrastructure-as-Code, Terraform, or GitOps workflows.
• Experience with event-driven architectures, change data capture, or audit logging for compliance-sensitive systems.

Why This Role Is Different

This isn't building another REST API in front of a simple CRUD database. We are building bespoke software which will be critical to the success of  building  some of the largest AI-focused data centers in the world.  The data is complex, the relationships are real, and the performance bar is high. If you've been looking for backend work where the data modeling is genuinely hard and the impact is tangible, this is it.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

What You'll Do:

The Security Foundations organization at CoreWeave keeps CoreWeave Cloud secure by design, from data centers and GPU fleets to the platform layers powering our customers' AI workloads. The PKI & Secrets team owns the cryptographic infrastructure underpinning the confidentiality, integrity, and authenticity of CoreWeave's data and systems: PKI, secrets management, HSMs, key management, and code signing.

We partner with teams across the company to deliver cryptographic services that are secure, reliable, and easy to use at scale.

About the Role:

As a Senior Security Engineer on the PKI & Secrets team, you will shape how CoreWeave manages cryptographic infrastructure across its global fleet. You'll design and operate PKI hierarchies, secrets management platforms, HSM infrastructure, and key management systems; working hands-on with engineering teams to integrate these capabilities into their services and workflows.

In this role, you will:

• Contribute to the design, implementation, and operation of CoreWeave's PKI infrastructure, including CA hierarchies, issuance policies, certificate lifecycle management, and trust distribution across Kubernetes clusters and bare-metal hosts.
• Manage and evolve secrets management platforms, including access policies, secret lifecycle governance, and integration patterns using External Secrets Operator and cert-manager.
• Operate and scale HSM infrastructure, including PKCS#11 integration, key ceremony procedures, and high-availability designs backing our certificate authorities and signing services.
• Contribute to the design of key management and data encryption solutions for internal and customer-facing use cases, including envelope encryption and KMS API design.
• Deliver PKI-based solutions supporting workload identity, mutual TLS, and hardware attestation.
• Maintain and extend code signing infrastructure for firmware images, UEFI binaries, container images, and application binaries.
• Develop and enforce cryptographic best practices and policies, and contribute to post-quantum cryptography readiness.

Who You Are:

• (5)+ years of experience in security engineering or infrastructure engineering.
• Strong understanding of PKI concepts including CA hierarchies, certificate profiles, issuance policies, revocation, and trust distribution.
• Hands-on experience operating HashiCorp Vault or similar secrets management platforms in production.
• Experience with hardware security modules (HSMs), PKCS#11 interfaces, and key ceremony procedures.
• Solid understanding of applied cryptography: symmetric and asymmetric algorithms, digital signatures, envelope encryption, and TLS.
• Proficiency in Go, Python, or similar languages, with the ability to build production tooling and automation.
• Experience with Kubernetes, including cert-manager, trust-manager, or External Secrets Operator.
• Demonstrated ability to drive cross-functional initiatives across infrastructure, platform, and product teams.

Preferred

• Experience operating PKI backed by HSMs in a cloud provider or hyperscaler environment.
• Familiarity with code signing workflows (Authenticode, Cosign/Sigstore, transparency logs, timestamping).
• Experience with KMS design, including customer-managed keys and multi-tenant key isolation.
• Understanding of hardware attestation and workload identity (TPM, SPDM, SPIFFE/SPIRE).
• Exposure to post-quantum cryptography standards and migration planning.

Wondering if you're a good fit?

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams, even if you aren't a 100% skill or experience match. If some of this describes you, we'd love to talk.

• You think deeply about how trust is established in complex distributed systems — and you enjoy making that infrastructure invisible to the teams that depend on it.
• You're comfortable operating at multiple levels of abstraction, from HSM key ceremonies to Kubernetes operator design and developer experience.
• You're a pragmatic builder who ships durable solutions in fast-moving environments.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

What You’ll Do:

The Talent Acquisition team at CoreWeave is responsible for building the technical organizations that power our AI cloud—spanning Product Engineering, Infrastructure, AI Infra, IaaS, Common Services, Fleet, and more. We run a pod-based model where recruiters, sourcers, and coordinators are tightly aligned to engineering leaders to deliver high-bar technical talent at scale.

The Manager, Technical Recruiting, is a strategic, hands-on leader responsible for scaling CoreWeave’s engineering organization. They will lead multiple engineering recruiting pods or a large, complex pod, partnering directly with senior technology leaders and TA leadership to design and execute hiring strategies across multiple functions and levels. This role is ideal for a seasoned technical recruiting leader who thrives in high-growth environments, leads with both data and heart, and knows how to build teams and processes that deliver outstanding results.

About the Role:

As a Manager, Technical Recruiting, you will build and lead a high-performing team of technical recruiters that supports key engineering organizations at CoreWeave (for example: Product Engineering, Infrastructure Engineering, AI Infra, IaaS, or Common Services). You will own full-funnel recruiting performance for your pod(s)—from intake to offer—while also personally leading senior or hard-to-fill searches as needed.

In this role, you will:

• Own and evolve engineering hiring strategies for your pod(s) across multiple teams and levels, aligning plans to headcount forecasts, product roadmaps, and org design in partnership with Engineering, Product, and People leadership.
• Lead, coach, and develop a team of technical recruiters (and, where applicable, sourcers and coordinators), creating a collaborative, metrics-driven culture centered on excellence, learning, and high accountability.
• Serve as a strategic advisor to senior engineering leaders: calibrate roles and levels using CoreWeave’s job architecture and leveling framework, prioritize requisitions, and drive data-informed hiring decisions and tradeoffs.
• Own end-to-end recruiting performance for your pod(s): pipeline health, time-to-fill and time-to-hire, pass-through rates, quality of hire signals, offer acceptance rates, candidate experience, and diversity outcomes.
• Personally lead full-cycle recruiting for senior and niche technical roles (e.g., Staff+ engineers, EMs, Directors), including market mapping, sourcing, assessment design, and closing strategies.
• Champion a world-class candidate experience—ensuring clear communication, timely feedback, and thoughtful closing—from first touch through offer acceptance and handoff to onboarding.
• Leverage data and analytics (from Greenhouse, Lattice-aligned levels, and internal TA dashboards) to improve pipeline conversion, recruiter capacity planning, time-to-fill, sourcing channel performance, and quality of hire.
• Partner with TA Operations, Total Rewards, and People to structure competitive and equitable offers, using the TA Offer Tool and corporate bands for recruiting roles, and escalating exceptions through the established approvals process where needed.
• Optimize tools, workflows, and interview frameworks—ensuring structured, consistent, and scalable processes for intake, interview design, debriefs, decision-making, and hiring manager enablement.
• Collaborate with TA, People, and DEI partners to build inclusive hiring processes and diverse talent pipelines across engineering, including proactive mapping and outbound strategies for critical domains such as GPU/AI infra, cloud platforms, and distributed systems.
• Communicate hiring trends, pipeline health, key metrics, and strategy updates to senior stakeholders, surfacing risks and tradeoffs early and proposing clear mitigation plans.
• Operate as a “player-coach”: model best-in-class recruiting behaviors in your own searches while building capability across your team in sourcing, stakeholder management, closing, and use of data.

Who You Are:

• 7+ years of full-cycle recruiting experience with a strong focus on technical / engineering roles in high-growth or complex technology environments (e.g., cloud, infrastructure, AI/ML, distributed systems).
• 2–4+ years of experience leading and developing recruiters and/or sourcers, including performance management, coaching, and building a high-accountability, high-support culture.
• Demonstrated success managing recruiting across multiple engineering teams or business units simultaneously, with clear ownership of hiring targets, pipeline health, and stakeholder satisfaction.
• Deep understanding of technical recruiting fundamentals: outbound sourcing strategies, technical assessment design, pass-through rate management, and offer / close tactics for highly competitive engineering talent markets.
• Proven ability to partner with and influence senior engineering leaders, including pushing back thoughtfully, advising on leveling and job architecture, and aligning hiring decisions to business objectives and capacity constraints.
• Experience building and optimizing recruiting processes at scale, ideally in a pod-based or embedded recruiting model aligned to engineering domains.
• Comfortable working with data and tooling: experienced using Greenhouse, ATS/CRM data, Lattice-aligned levels, and TA dashboards to run your business, tell a clear story with metrics, and make continuous improvements.
• Expertise with modern recruiting and sourcing tools (e.g., LinkedIn Recruiter, Gem or similar CRM, Greenhouse ATS) and collaboration platforms used at CoreWeave (e.g., Slack, Google Workspace, Zoom, Lattice).
• Strong negotiation and closing skills in competitive markets, with a track record of securing senior technical talent against strong alternatives.
• Proven ability to thrive in a fast-paced, ambiguous, hyper-growth environment—balancing strategic planning with hands-on execution and a strong bias for action.
• Excellent written and verbal communication skills, with a track record of building trust across Talent Acquisition, People, and senior business stakeholders.

Preferred:

• Experience leading recruiting teams focused on deeply technical domains such as infrastructure engineering, GPU/AI infrastructure, HPC, security engineering, or similar high-bar engineering organizations.
• Prior experience operating in a pod-based or embedded recruiting model aligned by product / engineering domain, and/or supporting multiple global locations.
• Familiarity with job architecture, leveling frameworks, and promotion criteria, and how these intersect with recruiting, performance, and compensation decisions in a scaling company.
• Experience designing and running interviewer training, debrief best practices, and structured interviewing programs for engineering leaders.
• Background in high-growth or hyperscaler-like environments where hiring velocity, quality of hire, diversity, and operational rigor are all critical.

Wondering if you’re a good fit?

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• You love coaching recruiters and seeing their skills, confidence, and impact grow over time—and you’re energized by building a high-performing, high-trust team.
• You’re curious about how engineering leaders think about roadmap, org design, and team health, and you enjoy being their strategic thought partner on talent and hiring strategy.
• You’re an expert at turning ambiguous or shifting hiring goals into clear plans, metrics, and repeatable processes that scale across multiple pods or orgs.
• You care deeply about candidate experience and employer brand, and you’re excited to help shape the story of CoreWeave’s engineering organization in the AI infrastructure space.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $135,000 to $198,000. The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What You’ll Do:

CoreWeave is seeking a highly skilled and motivated Systems Kernel Engineer to join our HAVOCK Team, reporting into the Manager of Systems Engineering. In this role, you will be a key contributor to the stability, performance, and evolution of CoreWeave’s Linux based infrastructure. As a kernel generalist, you will be responsible for debugging kernel-level issues, analyzing and fixing crashes, panics, dumps, and upstreaming fixes and features that improves the performance and reliability of our stack.

This position is ideal for someone who thrives in low-level systems engineering, and understands how modern workloads stress kernels, and is excited to work across a diverse hardware/software ecosystem including CPUs, GPUs, DPUs, networking, and storage.

Kernel Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kubelet

Our Team’s Stack:

• Python, Go, bash/sh, C
• Prometheus, Victoria Metrics, Grafana
• Linux Kernel (custom build), Ubuntu
• Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs
• Docker, kubernetes (k8s), KubeVirt, containerd, kubelet

Focus Areas:

• Kernel Debugging – Analyze kernel crashes, oopses, panics, and dumps to identify root causes and propose fixes.
• Upstream Contributions – Develop patches for the Linux kernel and upstream them where applicable (networking, storage, virtualization, GPU/DPU enablement).
• Stack-Wide Support – Ensure kernel support and stability across:
• Virtualization (KubeVirt, QEMU, vFIO)
• Container runtimes (containerd, nydus, kubelet)
• HPC/AI workloads (CUDA, GPUDirect, RoCE/InfiniBand)
• Kernel-Hardware Enablement – Support new hardware bring-up across Intel, AMD, ARM CPUs, NVIDIA GPUs, DPUs, and NICs.
• Performance & Stability – Tune kernel subsystems for latency, throughput, and scalability in distributed HPC/AI clusters.

About the role:

• Triage and fix kernel crashes and performance regressions.
• Develop, test, and upstream kernel patches relevant to CoreWeave’s hardware/software environment.
• Collaborate with hardware vendors and the Linux community on feature enablement.
• Implement diagnostics and tooling for kernel-level observability.
• Work closely with HPC and Fleet teams to ensure kernel readiness for production workloads.
• Provide kernel-level expertise during incident response and root-cause investigations.

Who You Are:

• 5+ years of professional experience in Linux kernel engineering or systems-level development.
• Deep understanding of kernel internals (memory management, scheduling, networking, storage, drivers).
• Experience debugging kernel crashes, dumps, and panics using tools like crash, gdb, kdump.
• Strong C programming skills with the ability to write maintainable and upstream-quality code.
• Experience working with kernel modules, drivers, and subsystems.
• Strong problem-solving abilities with a “full-stack” systems perspective.

Preferred:

• Contributions to the Linux kernel or related open-source projects.
• Familiarity with virtualization (KVM, QEMU, VFIO) and container runtimes.
• Networking stack expertise (InfiniBand, RoCE, TCP/IP performance tuning).
• GPU/DPU bring-up and driver experience.
• Experience in HPC or large-scale distributed systems.
• Familiarity with QA/QE best practices
• Experience working in Cloud environments
• Experience as a software engineer writing large-scale applications
• Experience with machine learning is a huge bonus

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

About the role

A Software Engineer contributes to the design, implementation, and maintenance of the company's cloud infrastructure, platforms, and internal tools. This role focuses on improving the efficiency, reliability, and scalability of systems that power CoreWeave's infrastructure validation and performance testing. You’ll partner with fleet, product, and hardware teams to evolve our GPU performance testing platform to ensure we deliver a reliable and performant experience to our customers.

What you’ll do

• Implement and maintain solutions to problems of scale for testing and validation of CoreWeave’s global infrastructure.
• Develop and improve performance tests and automation workflows to expand hardware validation across the CoreWeave fleet.
• Troubleshoot and maintain Kubernetes custom controllers and operators that automate infrastructure testing.
• Adapt and extend open source tooling to enhance visibility into system metrics, performance, and health.
• Participate in an on-call rotation.
  
  

What we’re looking for

• IC2: ~2–5 years
• Competency in Go and/or Python software development.
• Hands-on experience with Kubernetes at production scale.
  
  

Nice to have

• Experience building backend services.
• Experience testing hardware at scale.
• HPC Experience.
• Experience with AI/ML infrastructure and training / inference.

The base salary range for this role is $109,000 to $160,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

NÜ Metal is CoreWeave’s Hardware New Product Introduction (NPI) team, a multidisciplinary group of mechanical, thermal, electrical, and power engineers that takes new GPU and server platforms from early concept through validation, integration, and large-scale production across our data centers. The team bridges hardware design, manufacturing partners, and data center operations to de-risk new platforms early and ensure each new generation of high-density, often liquid-cooled hardware lands in the fleet reliably, efficiently, and at scale. 

What You’ll Do

• Own the architecture, design, and evolution of thermals for high-density, GPU-accelerated data centers.
• Design, validate, and optimize rack-level and server-level thermal solutions.
• Partner closely with data center teams to define end-to-end thermal architecture—from building infrastructure through the rack.
• Collaborate with world-class engineers developing next-generation AI/ML hardware platforms.
• Advise on data center secondary loop layout, commissioning, and operation
• Review and evaluate JDM/ODM thermal designs, including thermal simulations; independently run simulations as needed.
• Debug complex thermal and system-level issues, incorporating learnings into future designs.
• Collaborate with vendors and internal teams to manage heterogeneous deployments, ensuring a cohesive thermal strategy across varying CDUs, server platforms, and facilities. 
• Drive thermal designs from early concept through mass production.
• Ensure designs meet high standards for efficiency, safety, reliability, and scalability.
• Partner with manufacturing teams to support production readiness and ramp.
• Actively contribute to architectural discussions, providing strong hardware design guidance and tradeoff analysis.
• Mentor and support the growth of junior engineers.
  
  

Who You Are

Minimum Qualifications:

• 10+ years of thermal management experience 
• Bachelor’s Degree in Mechanical Engineering, Aerospace Engineering, or a related technical field
• Experience in heatsinks, thermal interface materials, liquid cooling, heat exchangers and fans

Preferred Qualifications:

• 10+ years of experience designing complex thermal systems for hyperscale data centers
• Experience in liquid cooled data center architectures, including cold plates, wetted material compatibility, and CDUs
• Strong thermal design expertise
• Experience leading cross-functional design efforts in fast-paced environments
• Strong documentation and design review practices
• Excellent negotiation and stakeholder-management skills
• Understanding of rack-level thermal requirements and their impact on upstream infrastructure, including CDUs, facility piping, and chillers

The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

What You'll Do:

The Security Foundations organization at CoreWeave keeps CoreWeave Cloud secure by design, from data centers and GPU fleets to the platform layers powering our customers' AI workloads. The PKI & Secrets team owns the cryptographic infrastructure underpinning the confidentiality, integrity, and authenticity of CoreWeave's data and systems: PKI, secrets management, HSMs, key management, and code signing.

We partner with teams across the company to deliver cryptographic services that are secure, reliable, and easy to use at scale.

About the Role:

As a Staff Security Engineer on the PKI & Secrets team, you will shape how CoreWeave manages cryptographic infrastructure across its global fleet. You'll design and operate PKI hierarchies, secrets management platforms, HSM infrastructure, and key management systems; working hands-on with engineering teams to integrate these capabilities into their services and workflows.

In this role, you will:

• Contribute to the design, implementation, and operation of CoreWeave's PKI infrastructure, including CA hierarchies, issuance policies, certificate lifecycle management, and trust distribution across Kubernetes clusters and bare-metal hosts.
• Manage and evolve secrets management platforms, including access policies, secret lifecycle governance, and integration patterns using External Secrets Operator and cert-manager.
• Operate and scale HSM infrastructure, including PKCS#11 integration, key ceremony procedures, and high-availability designs backing our certificate authorities and signing services.
• Contribute to the design of key management and data encryption solutions for internal and customer-facing use cases, including envelope encryption and KMS API design.
• Deliver PKI-based solutions supporting workload identity, mutual TLS, and hardware attestation.
• Maintain and extend code signing infrastructure for firmware images, UEFI binaries, container images, and application binaries.
• Develop and enforce cryptographic best practices and policies, and contribute to post-quantum cryptography readiness.

Who You Are:

• (8)+ years of experience in security engineering or infrastructure engineering.
• Strong understanding of PKI concepts including CA hierarchies, certificate profiles, issuance policies, revocation, and trust distribution.
• Hands-on experience operating HashiCorp Vault or similar secrets management platforms in production.
• Experience with hardware security modules (HSMs), PKCS#11 interfaces, and key ceremony procedures.
• Solid understanding of applied cryptography: symmetric and asymmetric algorithms, digital signatures, envelope encryption, and TLS.
• Proficiency in Go, Python, or similar languages, with the ability to build production tooling and automation.
• Experience with Kubernetes, including cert-manager, trust-manager, or External Secrets Operator.
• Demonstrated ability to drive cross-functional initiatives across infrastructure, platform, and product teams.

Preferred:

• Experience operating PKI backed by HSMs in a cloud provider or hyperscaler environment.
• Familiarity with code signing workflows (Authenticode, Cosign/Sigstore, transparency logs, timestamping).
• Experience with KMS design, including customer-managed keys and multi-tenant key isolation.
• Understanding of hardware attestation and workload identity (TPM, SPDM, SPIFFE/SPIRE).
• Exposure to post-quantum cryptography standards and migration planning.

Wondering if you're a good fit?

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams, even if you aren't a 100% skill or experience match. If some of this describes you, we'd love to talk.

• You think deeply about how trust is established in complex distributed systems — and you enjoy making that infrastructure invisible to the teams that depend on it.
• You're comfortable operating at multiple levels of abstraction, from HSM key ceremonies to Kubernetes operator design and developer experience.
• You're a pragmatic builder who ships durable solutions in fast-moving environments.

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

Please note that this is a 24/7/365 team. You will be asked to select and rank your preferred shift(s) below.

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the Role

As a Bare Metal Support Engineer, you will be responsible for supporting, operating, and maintaining CoreWeave’s extensive GPU fleet across our growing data centers in the U.S., Europe, and beyond. You will work closely with customers, data center technicians, and engineering teams to ensure the reliability, performance, and scalability of our infrastructure. 

In this role, you will: 

• Provide high-level support for customers utilizing bare-metal GPU fleets on CoreWeave Cloud.
  
  
• Diagnose, triage, and investigate reported customer issues and high-priority incidents, identifying root causes and escalating when necessary.
  
  
• Develop a deep understanding of customer workloads and use cases to provide tailored technical support.
  
  
• Coordinate remote troubleshooting and hardware interventions with Data Center Technicians.
  
  
• Create and maintain internal documentation, including troubleshooting guides, best practices, and knowledge base articles.
  
  
• Participate in an on-call rotation to support production clusters and ensure operational reliability.
  
  
• Collaborate with engineering teams to improve hardware reliability, software stability, and system performance.
  
  
• Implement automation and scripting to streamline support workflows and reduce manual interventions.
  
  
• Perform in-depth log analysis and debugging across multiple layers of the stack (firmware, drivers, hardware).
  
  
• Provide feedback to internal teams on common support issues to drive continuous improvements.
  
  
• Work with networking teams to troubleshoot connectivity issues affecting customer workloads.
  
  
• Support supercomputing infrastructure running GPU workloads at scale.
  
  
• Drive operational excellence by refining internal processes and support methodologies.
  
  

Who You Are:

• Experience in data centers, GPU clusters, server deployments, system administration, or hardware troubleshooting.
  
  
• Demonstrated experience driving resolutions and continuous improvements across cross-functional environments and teams within a data center environment.
  
  
• Intermediate knowledge of Linux (Ubuntu, CentOS, or similar), including command-line proficiency.
  
  
• Experience with NVIDIA GPUs, SuperMicro systems, Dell systems, high-performance computing (HPC), and large-scale data center environments.
  
  
• Experience in networking fundamentals (TCP/IP, VLANs, DNS, DHCP) and troubleshooting tools.
  
  
• Hands-on experience with firmware updates, BIOS configurations, and driver management.
  
  
• Experience analyzing system logs and debugging issues across firmware, drivers, and hardware layers.
  
  
• Experience working with Jira, Confluence, Notion, or other issue-tracking and documentation platforms.
  
  
• Experience in scripting and automation (Python, Bash, Ansible, or similar).
  
  

Wondering if you’re a good fit? We believe in investing in our people and value candidates who bring unique backgrounds—even if you don’t check every box. Here are a few qualities we’ve found make someone successful on our team. If some of this describes you, we’d love to talk.

• You’re curious about Kubernetes, Docker, and containerized infrastructure
  
  
• You have strong problem-solving skills with a proactive and analytical mindset.
  
  
• You have excellent communication skills and a demonstrated ability to work collaboratively in a fast-paced environment.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
  
  
• Act Like an Owner
  
  
• Empower Employees
  
  
• Deliver Best-in-Class Client Experiences
  
  
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is $83,000 to $132,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

About This Role

CoreWeave is building one of the world's largest AI-focused cloud infrastructure platforms. We're standing up new data centers at an extraordinary pace, and the complexity of planning, tracking, and orchestrating each build demands purpose-built tooling that doesn't exist today.

We're forming a new team dedicated to building that tooling in-house. The goal: a high-performance internal platform that gives network engineers, fleet engineers, and operations teams the ability to plan, visualize, and manage massive amounts of physical infrastructure across dozens of sites.

As the founding frontend engineer on this team, you'll own the UI layer for these tools. You'll work alongside backend engineers to build applications that handle the full scope of datacenter infrastructure: network switches, GPUs, servers, optical transceivers, PDUs, cooling systems, cable cutsheets, rack elevations, overheads, and more. Performance is non-negotiable. These tools need to render and interact with millions of objects per build without breaking a sweat.

You'll make foundational technology decisions, establish the patterns and architecture that the team builds on, and have a direct hand in how quickly CoreWeave brings data centers online.

What You'll Build

• Extremely high-performance interfaces for visualizing and planning datacenter infrastructure, often rendering massive amounts of structured records (device inventories, cable plans, rack assignments, power allocations) with sub-second interaction and filtering.
• Interactive planning tools for rack elevations, floor layouts, power distribution, and network topology that let engineers design, model, and validate builds before physical work begins.
• Data-dense views and dashboards that serve as the authoritative source for build planning and asset tracking across CoreWeave's global footprint.
• The frontend architecture from the ground up: component library, state management, data fetching patterns, and build tooling designed to scale with the team and product scope.
• Tight integrations with backend APIs (likely gRPC, GraphQL, or REST), collaborating closely with backend engineers to shape API contracts that support the performance and data complexity the UI demands.

What We're Looking For

Core Technical Skills

• Deep proficiency with TypeScript and React. You should be the kind of engineer who understands React's rendering model at a low level and can make deliberate decisions about when and how components re-render.
• Demonstrated experience building interfaces that handle large, complex datasets with extreme performance requirements: virtualized rendering, canvas or WebGL-based visualization, efficient DOM management, or similar techniques.
• Strong understanding of frontend architecture: component design, state management (particularly for complex, interconnected data models), data fetching and caching patterns, and build tooling.
• Experience designing and consuming APIs with attention to type safety, pagination, caching, and error handling.
• Track record of frontend performance optimization: bundle analysis, runtime profiling, and making data-heavy UIs feel fast under real load.

Domain & Problem-Solving

• Genuine curiosity about (or direct experience with) physical datacenter infrastructure. The ideal candidate has a working understanding of servers, GPUs, network switches, optical transceivers, structured cabling, power distribution, and cooling. You don't need to be a network engineer, but you should be someone who finds this domain interesting and wants to understand how these systems relate and fit together.
• Ability to work directly with infrastructure engineers (the end users of what you build) to understand their workflows, identify pain points, and translate complex operational processes into clean, usable interfaces.
• Comfort working on a newly formed team where you'll be making early architectural decisions that compound over time. We need someone who is deliberate about tradeoffs and can move quickly without being reckless or sacrificing performance.

Experience & Leadership

• 7+ years of professional frontend engineering experience, with meaningful senior-level ownership of production systems. For Staff level: demonstrated ability to make foundational architectural decisions and influence technical direction beyond your immediate team.
• Strong communication skills. You'll be working across network engineering, fleet engineering, operations, and design. You need to explain technical decisions clearly and advocate for frontend concerns in cross-functional discussions.
• Strong sense of ownership for the systems you build and the people who depend on them.

Nice to Have

• Direct experience with datacenter operations, infrastructure planning, or familiarity with DCIM tools like NetBox or Sunbird.
• Experience working alongside backend teams writing Go, and comfort collaborating on API design across the stack.
• Exposure to Infrastructure-as-Code, Kubernetes, or cloud platform concepts. You won't be directly deploying infrastructure, but understanding the ecosystem helps you build better tools for the engineers who do.
• Experience with frontend observability, CI/CD pipelines, and modern build systems. We're building this team's practices from scratch, and having strong opinions about how to ship tooling matters.
• Familiarity with authentication, authorization, and frontend security best practices for internal tooling.

Why This Role Is Different

This isn't maintaining a mature product or building another CRUD application. You're building the infrastructure planning and visualization platform for one of the fastest-growing cloud providers in the world. The data is real and physical, the problems are tangible, and the tools you build will directly determine how quickly we can bring new AI capacity online.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 

The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

What You'll Do:

As a Sr. Technical Program Manager on the Capacity Delivery team, you will own the end-to-end delivery of our most critical data center infrastructure. You will be the single-threaded leader responsible for translating long-range capacity forecasts and complex customer requirements into fully commissioned infrastructure. This highly visible role requires deep cross-functional leadership across Engineering, Supply Chain, and Data Center Operations to solve technical challenges at hyperscale. Beyond delivering individual programs, you will be instrumental in designing the scalable, repeatable processes that define how we build our global fleet for the future.

Key Responsibilities:

• Drive the end-to-end execution of hyperscale data center builds and major capacity expansions, from planning to operational delivery.
• Develop and manage comprehensive program plans, defining scope, schedules, milestones, and dependencies for critical infrastructure initiatives.
• Translate capacity planning forecasts and stakeholder needs into actionable, technical program requirements
• Lead cross-functional execution with Data Center Operations, Engineering, and Supply Chain teams to mitigate risks to schedule and budget
• Develop and report on program status, risks, and key performance indicators (KPIs) to executive leadership and key stakeholders
• Proactively identify, track, and resolve complex technical and logistical issues, ensuring clear communication and timely escalation.
• Establish and lead scalable processes, KPIs, and respective SLAs across build teams

Who You Are:

• 10+ years of technical program management experience in a hyperscale cloud, data center, or critical infrastructure environment
• Direct experience managing the lifecycle of large-scale data center builds, retrofits, or major capacity expansions.
• Strong technical understanding of the data center stack, including power, cooling, networking, and GPU/server hardware infrastructure.
• Strong understanding of construction projects and respective milestones
• Expertise in project management methodologies (e.g., Agile, Critical Path) and tools (e.g., Jira, Asana).
• Demonstrated ability to lead and influence matrixed, cross-functional technical teams in a fast-paced, ambiguous environment.
• Exceptional communication skills, with the ability to articulate complex technical challenges and project plans to all levels of the organization.
• Ability to thrive in a fast-paced and dynamic environment, adapting to changing priorities and requirements
• This role requires occasional flexibility to overlap with EMEA working hours as needed

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

About the Role:

SysEng HAVOCK (Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kernel)

CoreWeave is looking for a Senior Systems Engineer who is ready to evolve beyond traditional DevOps. You will start by stabilizing and scaling our Linux OS and Kernel build pipelines. Once the foundation is set, you will lead the transition to AI-native infrastructure, building "smart" workflows that don't just report errors, but understand and fix them.

You are a Systems Engineer at heart, but you are ready to apply LLMs, RAG, and predictive modeling to solve infrastructure challenges at scale.

Our Team’s Stack:

• Languages: Python, Go, bash/sh
• Observability: Prometheus, Victoria Metrics, Grafana
• OS & Kernel: Linux Kernel (custom build), Ubuntu
• Hardware: Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs
• Containerization: Docker, Kubernetes (k8s), KubeVirt, containerd, kubelet

Responsibilities:

• Pipeline Architecture: Design, maintain, and automate reproducible OS image build pipelines for our massive fleet of GPU-accelerated servers.
• Kernel Distribution: Collaborate with kernel engineers to package, validate, and distribute custom Linux builds across Intel, AMD, and ARM architectures.
• Dependency Management: Build tooling to manage dependencies, versioning, and release workflows, ensuring hermetic builds.
• Telemetry & Metrics: Standardize the collection of build metrics to create a baseline for future AI modeling.
• "Smart" CI/CD & Auto-Remediation: Architect AI agents that ingest and analyze build logs in real-time. Develop systems that auto-triage errors, categorize failure patterns, and generate context-aware fix suggestions for engineering teams.
• Predictive Regression Modeling: Design ML workflows that utilize historical performance data to detect kernel and OS regressions (latency, throughput, stability) in staging environments before they impact production.
• Dynamic Kernel Tuning: Implement closed-loop feedback systems that analyze real-time system metrics and automatically suggest or apply sysctl parameter optimizations for specific customer workloads.
• Next-Gen ChatOps: Engineer LLM-driven interfaces for Slack/internal tools, enabling stakeholders to query build statuses, request log summaries, or provision resources using natural language commands.

Requirements:

• 4+ years of professional experience in Linux Systems Engineering, Release Engineering, or DevOps.
• Deep knowledge of Linux internals (boot process, kernel modules, networking stack).
• Experience with package management (Debian/Ubuntu) and build systems.
• Strong proficiency in Python (essential for the AI integration aspects of this role).
• Demonstrable experience integrating API-based AI models (OpenAI, Anthropic, or local open-source models) into software workflows.
• Understanding of RAG (Retrieval-Augmented Generation) architectures for querying technical documentation or logs.
• Experience building event-driven automation (e.g., using webhooks to trigger analysis agents).
• Familiarity with data structures required for vector search or time-series analysis.
• Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.

Nice-to-haves:

• Experience with Kubeflow or MLFlow.
• Background in High-Performance Computing (HPC).
• Experience fine-tuning small language models (SLMs) for code or log analysis tasks.

The base salary range for this role is $153,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

The autonomous transition is a transformational opportunity for Lyft. Our strategy focuses on becoming the preferred marketplace, fleet, and operational partner for the world's best Autonomous Vehicle (AV) providers. Lyft will leverage our platform advantages and scale to enable the success of AV partners across the value chain, from AV technology providers to OEMs to fleet providers. This role will help shape the future of AV partnerships at Lyft by crafting durable relationships with our partners and ensuring commercial success. You will work in a highly collaborative, fast-paced environment.

As a qualified candidate, you have a track record of owning complex, multi-stakeholder commercial relationships end-to-end — from deal close through ongoing management and growth. You are a strong communicator who can operate confidently at the executive level both internally and externally. You are able to coordinate across a wide range of internal teams — legal, finance, product, operations — without formal authority and keep multiple workstreams moving simultaneously. You uphold a high quality bar and have a strong appreciation for the commercial details that make or break a partnership. Above all, you are a builder who takes genuine pride in the quality of your partner relationships and the outcomes they deliver.

Responsibilities:

• Be the person partners trust to get things done — owning the commercial relationship for 1–2 active AV partnerships end-to-end as Lyft's primary external point of contact
• Maximize the value of each partnership by steering commercial terms, negotiating amendments, and proactively identifying opportunities to expand scope and scale over time
• Drive commercial momentum by running partner working sessions that negotiate and clarify terms, ensuring the right people are in the room, the agenda drives decisions, and follow-through is clear
• Keep a relentless grip on commercial milestones and contractual commitments, flagging risks early and resolving issues before they become problems
• Protect Lyft's contractual position by managing commercial reporting obligations under active partnership agreements, ensuring commitments are met on time and to a high standard
• Ensure operational reviews work for Lyft by overseeing participation in regular partner reviews, making sure commercial commitments are accurately represented and any issues surfaced are followed through
• Help shape how Lyft manages its most important relationships by designing and building a strategic partnership review process — establishing the cadence, format, and criteria by which partnership health and direction are assessed at the highest level
• Ensure deal value is fully realised by briefing Lyft's program management and operational teams fully on commercials, expectations, and contractual commitments at deal close and hand off
• Unlock Lyft's full internal capability by building a deep network across the organisation, leveraging cross-functional expertise to deliver on negotiation and partnership goals
• Stay ahead of each partner by developing a deep understanding of their business, strategy, and priorities — continuously identifying growth opportunities and strengthening long-term alignment
• Make Lyft a better partner over time by identifying lessons learned from active partnerships and translating them into improvements to how Lyft engages with the AV ecosystem

Experience:

• 7+ years of experience in strategic partnerships, business development, or account management, ideally in mobility, automotive, or technology
• Demonstrated track record of owning senior-level commercial relationships with complex, multi-party stakeholders
• Strong commercial instincts — able to understand complex deal structures, identify risks, and negotiate effectively
• Excellent cross-functional collaboration skills; comfortable driving alignment across legal, finance, product, and operations teams without direct authority
• Executive-level written and verbal communication skills; able to represent Lyft professionally in high-stakes partner settings
• Highly organised with the ability to manage multiple active partnerships simultaneously without losing precision on the details
• Genuine curiosity about the AV industry and appetite to develop deep expertise in a fast-moving space
• Experience with master framework agreements, technology deployment agreements, or similar long-form commercial structures is a plus
• Existing relationships in the AV, OEM, or mobility ecosystem are a plus

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the San Francisco area is $169,000 - $211,250, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Part Time candidates are welcome to apply! 

Shift: 12pm - 8pm Friday, Saturday, Sunday

Pay: $19/hr

All candidates must live near or have reliable transportation to the warehouse located on S 4th Ave, Mt. Vernon, NY. 

Are you the person your friends call when something needs to be fixed or repaired? Do you enjoy being hands-on and solving mechanical issues? Are you interested in working in the growing EV shared micromobility industry? If so, you might be the perfect fit for Veo’s Repair Technician!

At Veo, we're bringing the next generation of mobility sharing to cities and universities globally through electric bikes and scooters. We design and engineer our own vehicles, hardware, and software systems to provide a greener, healthier mode of transportation, making the communities we serve more sustainable and livable. We're looking for exceptionally talented individuals who are ready to take on exciting challenges and own creative solutions.

Job Summary:

Veo is seeking repair technicians to maintain and repair our electric vehicle fleet. This role is ideal for mechanically-inclined professionals who enjoy solving problems, are comfortable working with their hands, and are passionate in helping make our communities safe and sustainable. No electric vehicle experience required but experience (professional or hobby) repairing bikes, scooters, cars, or motorcycles are a great fit.

Responsibilities:

• Perform comprehensive repairs on Veo’s electric bikes/scooters from tightening a bolt to replacing a motor 
• Conduct quality checks and routine inspection to ensure all vehicles meet our safety standards
• Follow processes to log and track maintenance record
• Track inventory levels for spare parts on an ongoing basis
• Maintain excellent warehouse organization and set example for teammates
• Perform field tasks as needed such as: swapping batteries and redistribution
• Other duties as assigned

Qualifications & Skills:

• At least 1+ years of experience in maintenance/ auto repair
• Ability to lift, carry, push and pull electric bikes/scooters weighing up to 80 lbs
• Problem-solving mindset and self-motivated
• Comfortable with navigating and using smartphone apps
• Strong communication and interpersonal skills; must be a team player!

Nice to have:

• Previous maintenance experience in bikes, scooters, motorcycles, or automotives
• Basic knowledge in electronics

Perks:

• Full-time employees are eligible for: Medical / Dental / Vision coverage, PTO
• Opportunity to help make the community safe and sustainable
• Free Veo credits!
• Flexible work hours

#VEO2026

Part Time candidates are welcome to apply. Flexible shifts available! 

Shifts:

• Friday, Saturday, Sunday 7am to 12pm 
• Friday, Saturday, Sunday 4pm to 9pm
• Mon, Tues, Wed, Thurs 10pm to 6am
• Friday, Saturday, Sunday 10pm to 6am

Pay: $19/hr

A company van is provided to all employees. Candidates must have reliable transportation to the warehouse located on 4th Ave, Mt. Vernon, NY

Job Summary:

Veo seeks operations professionals  who are passionate about providing riders with excellent experience by maintaining our vehicles and continually improving the efficiency of our fleet operations. E-Scooter Delivery Drivers locate, swap batteries, and rebalance vehicles throughout the city and perform quality checks and minor repairs.

The ideal candidate for this role will be a team player who loves to solve problems, work with their hands, and be active throughout an entire shift.

Responsibilities:

• Follow the mobile App instruction to complete shift tasks
• Drive a company’s van to find scooters and swap battery 
• Rebalance scooters from low demand to high demand areas
• Perform basic repair and quality check 
• Respond to on-demand requests to locate/retrieve scooters
• Other duties as assigned

Qualifications & Skills:

• 21+ years old
• Valid driver license and acceptable driving record
• Have a smartphone and be App-savvy
• Ability to lift up to 60 lbs scooters without assistance 
• Good communication  and attention to detail

Nice to Haves

• Knowledge of the local geography and street layout 
• Flexible schedule including early morning, night, and weekend shifts
• Related experience in warehouse, manufacturing, delivery, etc.

Perks:

• Competitive hourly wage
• Opportunity to work in a fast-paced, early stage technology company
• Veo credits
• Flexible work hours
• Full time employees are eligible for: Medical/dental/vision coverage, PTO 

Scopely is looking for a Product Manager, Live Ops & Monetization  to join our Marvel Strike Force team in the United States or Canada on a remote basis.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.

Marvel Strike Force is Scopely's squad-based Hero Collector RPG, housing heroes and villains across the Marvel Universe.

What You Will Do

In this role, you aren’t just a passenger on a successful game; you are the owner of a specific performance vector (e.g., Battle Pass, Character Launch Monetization, or Limited-Time Events). You will be responsible for defining the strategy for your "lane," setting aggressive targets, and using your analytical prowess to ensure we hit them. We are looking for a "Product-Analyst" hybrid who loves the thrill of an A/B test and the clarity of a well-defined SQL query.

As a Product Manager, you will own the end-to-end performance and implementation of a critical slice of the Marvel Strike Force ecosystem.

• Vector Ownership: Take full accountability for a specific business vertical. You will define the roadmap for your area, ensuring it integrates seamlessly into the broader live operations and monetization strategy.
• Target Setting & OKRs: Define, track, and hit OKRs and KPIs. You won't just report on numbers; you will work with leadership to set ambitious targets and build the tactical plan to achieve them
• SQL-Led Discovery: Act as your own best analyst. Use SQL to deep-dive into player segments, identifying exactly where friction exists in your vector and where the next growth opportunity lies
• Hypothesis & A/B Testing: Move beyond "gut feel." You will design, execute, and analyze A/B tests and multivariate experiments to optimize offer conversion, event engagement, and feature spend
• Iterative Optimization: Demonstrate a relentless track record of improving feature performance. You will monitor live results daily, iterating on tuning and rewards to maximize both short-term revenue and long-term retention
• Live Systems Synergy: Ensure your specific vector (e.g., a specific event type) drives meaningful monetization without cannibalizing other systems or damaging player sentiment.

What We're Looking For

• The "Ex-Analyst" Edge: Strong preference for candidates with a background in Data Analysis or Economy who have transitioned into Product Management. Or who are looking for their opportunity to make the transition now
• Technical Mastery: High proficiency in SQL is non-negotiable. You must be able to pull your own data to validate your strategy. Experience with Tableau for performance visualization is a major plus
• Live Ops Veteran: Significant experience in free-to-play mobile games, specifically owning live features or monetization systems
• Scientific Method: A proven track record of using A/B testing and hypothesis-driven development to move the needle on core business metrics
• Goal-Oriented: Experience working within OKR frameworks and a comfort level with being held accountable for specific revenue and engagement targets

Bonus Points

• RPG Expertise: Deep knowledge of Squad RPGs or Hero Collectors (knowing the difference between a Blitz and a Raid is a head start)
• Systems Expert: Experience managing complex progression-based monetization (e.g., Battle Passes, Shard-based economies)

Please ensure that the résumé/CV you attach is written in English.

About the Role

Our mandate is to make inference deployment boring and unattended.

Anthropic serves Claude to millions of users across GPUs, TPUs, and Trainium — and every model update must reach production safely, quickly, and without disrupting service. We're building the systems that make inference deployment continuous and unattended.

As a Software Engineer on the Launch Engineering team, you'll design and build the deployment infrastructure that moves inference code from merge to production. This is a resource-constrained optimization problem at its core: validation and deployment consume the same accelerator chips that serve customer traffic — your deploys compete with live user requests for the same hardware. Every model brings different fleet sizes, startup times, and correctness requirements, so the system must adapt continuously. You'll build systems that navigate these constraints — orchestrating validation, scheduling deployments intelligently, and driving down cycle time from merge to production.

If you've built deployment systems at scale and gravitate toward the hardest problems at the intersection of automation and resource management, this team will give you an outsized scope to work on them.

Responsibilities

• Own deployment orchestration that continuously moves validated inference builds into production across GPU, TPU, and Trainium fleets, unattended under normal conditions
• Improve capacity-aware deployment scheduling to maximize deployment throughput against constrained accelerator budgets and variable fleet sizes
• Extend deployment observability — dashboards and tooling that answer "what code is running in production," "where is my commit," and "what validation passed for this deploy"
• Drive down cycle time from code merge to production with pipeline architectures that minimize serial dependencies and maximize parallelism
• Optimize fleet rollout strategies for large-scale deployments across thousands of GPU, TPU, and Trainium chips, minimizing disruption to serving capacity
• Evolve self-service model onboarding so that new models can be added to the continuous deployment pipeline without Launch Engineering involvement
• Partner across the Inference organization with teams owning validation, autoscaling, and model routing to integrate deployment automation with their systems

You May Be a Good Fit If You Have

• 5+ years of experience building deployment, release, or delivery infrastructure at scale
• Strong software engineering skills with experience designing systems that manage complex state machines and multi-stage pipelines
• Experience with deployment systems where resource constraints shape the design — whether that's fleet capacity, network bandwidth, hardware availability, or coordinated rollout windows
• A track record of building automation that measurably improves deployment velocity and reliability
• Proficiency with Kubernetes-based deployments, rolling update mechanics, and container orchestration
• Comfort working across the stack — from backend services and databases to CLI tools and web UIs
• Strong communication skills and the ability to work closely with oncall engineers, model teams, and infrastructure partners

Strong Candidates May Also Have

• Experience with ML inference or training infrastructure deployment, particularly across multiple accelerator types (GPU, TPU, Trainium)
• Background in capacity planning or resource-constrained scheduling (e.g., bin-packing, fleet management, job scheduling with hardware affinity)
• Experience with progressive delivery in systems with long validation cycles: canary/soak testing, blue-green deployments, traffic shifting, automated rollback
• Experience at companies with large-scale release engineering challenges (mobile release trains, monorepo deployments, multi-datacenter rollouts)
• Experience with Python and/or Rust in production systems

You may be a good fit if you:

• Have significant software engineering experience, particularly with distributed systems
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Enjoy pair programming (we love to pair!)
• Want to learn more about machine learning systems and infrastructure
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Care about the societal impacts of your work

Strong candidates may also have experience with:

• High-performance, large-scale distributed systems
• Implementing and deploying machine learning systems at scale
• Load balancing, request routing, or traffic management systems
• LLM inference optimization, batching, and caching strategies
• Kubernetes and cloud infrastructure (AWS, GCP, Azure)
• Python or Rust

Representative projects:

• Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
• Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
• Building production-grade deployment pipelines for releasing new models to millions of users
• Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
• Contributing to new inference features (e.g., structured sampling, prompt caching)
• Supporting inference for new model architectures
• Analyzing observability data to tune performance based on real-world production workloads
• Managing multi-region deployments and geographic routing for global customers

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

The construction of fairlife's manufacturing facility in Webster, NY is underway. This state-of-the-art, 750k sq ft, greenfield plant is expected to be operational in late 2025 and will lay the foundation for fairlife's next phase of growth as the leading dairy nutrition provider. While coupling the industry’s latest technologies and fairlife's operational excellence to build this world-class facility, fairlife plans to hire 250 new employees and bring in approximately 5 million lbs. of milk a day, with room to grow over the coming years.

Join Us - Sign-On Bonus Included!

shift schedule: 

12 Hour Nights: This is a night shift position, with hours from 6:00 PM to 6:00 AM. The role follows a rotating 2-2-3 schedule: two days on, two days off, three days on, followed by two days off, two days on, and three days off. Team members will work every other weekend, including Friday, Saturday, and Sunday. Shift Differential of $2 per hour for night shift.

job purpose: The Warehouse Operator will be responsible for loading and unloading trailers, maintaining cleanliness and organization in the warehouse, and completing necessary paperwork in a clear and accurate manner. Reporting to the Warehouse Supervisor, they will execute the day-to-day functions to support the plant and maintain their work area in a safe, clean, and sanitary condition.

responsibilities:

• Adhere to best practices for food safety and quality, along with promoting the fairlife culture of Believe in Better
• Ensure proper use and maintenance of the powered industrial fleet and other warehouse equipment with internal and external support.
• Accurate receipt confirmations from suppliers, accurate data entry of receipts, accurate shipping documentation of outgoing material to customers, and organized filing of manifests, certificates of authenticity, and bills of lading.
• Comply with federal, state, and local warehousing, material handling, and shipping requirements enforcing adherence to requirements, and advising management on needed actions
• Be Audit Ready: Have floors, drains, cooler, and posts cleaned as needed.
• Coordinate outbound and inbound material flow to support sustainable inventory levels in our 112,000 sq ft racked storage, and 90,000 sq ft high density ASRS
• Inform other departments of necessary changes or inventory discrepancies
• Take inventory of consumable supplies daily ensuring that we have sufficient quantities
• Will participate in cycle count program
• Perform other duties as assigned by management

 skills/qualifications required:

• High School Diploma or equivalent preferred
• Minimum of 2-3 years of warehouse or logistics experience (food and beverage experience a plus)
• Strong verbal and written communication skills
• Experience with handheld RF Scanner
• Experience with powered industrial equipment
• Basic Computer/data entry skills (WMS experience a plus)
• Basic knowledge of Good Manufacturing Practices (GMP’s)
• Ability to learn and demonstrate working knowledge of warehouse automation
• Strong problem-solving skills and adaptability to a fast-paced environment
• Ability to work different shifts including off shifts
• Ability to handle ambiguity and work in a fast paced, entrepreneurial environment 
• Proficiency in English: Comfortable with both written and verbal communication, including reading and writing

 Working conditions and physical requirements:

• 12 hours sitting/standing/walking
• Ability to lift up to 50 lbs.
• Reaching/bending frequently
• Temperatures from 34 degrees to 77 degrees
• Frequently reaching from floor level to shoulder level done during 8-hour workday
• Exposure to ammonia, acids, caustics, chlorines, paints, particles, oils and lubricants, steam, pneumatics, fumes.
• Proper use of PPE and equipment
• Ability to flex scheduled working hours based on operational needs and situations
• The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential duties.
• The job is performed indoors on a manufacturing floor.  Exposure to loud noises, dust, dirt, sparks, oil and smoke may occur. Protective safety equipment may be required including, but not limited to: hearing protection, bump caps, hair and beard nets, shoes, gloves, hard-hat, and safety eyewear as needed.  Activities may include extended periods of standing

 food safety requirements: 

• Notify supervision of any repairs or adjustments that are required that may affect product quality or food safety.
• Understand, observe, and comply with the handling and usage of the color-coded container policy while in the Production Areas.
• Perform all duties necessary to meet Company, Customer and/or Government requirements/standards as prioritized by the Company.
• Ability to initiate action to prevent the occurrence of nonconformities relating to Food Safety and the Quality of the product, processes, quality system, or safety system.
• Identify and record any problems relating to Food Safety and the Quality of the ingredients, processes, quality system, or safety system.
• Control further processing or delivery of nonconforming products in terms of Food Safety and Quality issues until the deficiency or unsatisfactory condition has been corrected.
• In the event of absence, another employee with the same skill level will assume the duties and responsibilities as required.

how fairlife nourishes you: 

At fairlife, we believe in better — and that includes how we support our people. We offer a comprehensive suite of benefits and wellbeing resources designed to support you physically, emotionally, socially, and financially, both in and out of work. 

• Comprehensive medical, dental, and vision coverage, effective day one! 

• Supplemental health plans (hospital indemnity, accident, and critical illness insurance) 

• Paid Time Off to recharge and support work-life balance 

• Paid parental leave & adoption assistance (up to $10,000) 

• Parental support & family care benefits, including childcare resources and lactation support 

• 401(k) to support retirement planning with up to 9% in employer match 

• Wellness reimbursement (up to $500 for qualified wellbeing expenses) 

• Employee Assistance Program (EAP) for emotional wellbeing and work-life support 

• Company-paid life insurance and short-term disability 

• Employer HSA funding (for HDHP participants) 

• Tuition reimbursement (up to $10,000) and student loan repayment ($200/month) 

• Learning & development programs to unlock your full potential 

• Rewards & recognition, matching gifts, free product, and Business Resource Groups 

fairlife’s nour!sh program is designed to meet you where you are — supporting your individual wellbeing journey while enabling you to do your best work every day. 

position location: Webster, NY

reports to: Warehouse Supervisor

travel requirements: less than 5%

exempt/nonexempt: Non-Exempt

Scopely is looking for a Senior Product Analyst to join our Monopoly Go! team in the US on a remote basis. *This role requires the successful candidate to be based in the US Eastern Time Zone (ET) to support core working hours and team collaboration.

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.

MONOPOLY GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. The team is based in Europe and the US, and works every day to create captivating new experiences for our players.

What you will do

As a Senior Product Analyst you will join a team of Product Analysts and Analytical Engineers, working to support one of our Vertical teams in collaboration with the wider analytics org. In this role, partnering with our internal data platform and data science teams, you will use data to generate player behavior insights and improve feature performance; from data modeling and event tracking, through to AB-testing, insightful analyses and recommendations that answer the game’s most complex and challenging questions. This is an individual contributor role, that has a lot of independence and responsibility, with building processes and taking end to end analytics projects

• Data Analysis: Dive deep into large, complex data sets to extract actionable insights that drive strategic decision-making. Analyze player behavior, game performance, and trends to inform product strategies and optimizations
• Game Team Support: Collaborate with stakeholders to identify opportunities and challenges to the specific game vertical.  Define key metrics, establish data collection processes, implement analytical frameworks and effectively communicate the insights to drive continuous improvement
• Ownership of Analysis: Take ownership of end-to-end analytical projects, from the inception of a new feature to ensure robust reporting and monitoring is in place, to design and assess A/B experimentation and deliver final insights, interpretations and presentations. 
• Drive the execution of analytical initiatives with precision and attention to detail
• Cross-functional Collaboration: Work closely with teams across the organization, to translate data insights into impactful business outcomes.
• Product Roadmap Influence: Partner to shape the future direction of the game
• Digging Deep: Hands-on exploration into existing reports and data, correlation of KPIs, definition of success for the Vertical, to identify the needs and gaps and actively work towards the improvements. Leverage data-driven insights to prioritize features, optimize game economies, and refine product roadmaps for maximum player engagement and satisfaction
• Presentation and Communication: Effectively communicate complex findings and recommendations to stakeholders at all levels of the organization. Present insights in a clear, concise manner through compelling presentations and reports

What We’re Looking For

• Passion for continuous learning in a fast-paced, highly-collaborative environment
• Excellent English communication skills, written and verbal
• Intellectual curiosity and analytical rigor
• 4+ years of experience as a Data Analyst or Business Intelligence related role. Gaming industry background is an advantage.
• Solid knowledge of SQL and comfort working with large data sets – exposure with BigQuery and Python/R experience a plus
• Working Knowledge of visualization tools: Looker (Preferred), Qlikview, Tableau or PowerBI
• Strong presentation skills; ability to communicate complex results throughout an organization
• A love for or strong desire to work with mobile games

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

We are seeking a reliable and detail-oriented Client Service Associate to join our team. The ideal candidate will be responsible for mailroom tasks, print production, restocking and maintaining inventory for office and pantry supplies, while providing support to ensure smooth office operations at both client locations. This role also offers opportunities to learn and develop additional office skills, including spreadsheet and document creation.
Key Responsibilities:

Mailroom Operations:
• Process outgoing shipments, including FedEx and other carriers.
• Assist with large mailings, shipments.
• Receive and distribute incoming mail and packages.

Print Requests/Fleet Management:
• Process print and reprographics requests.
• Check and submit service requests for all printers.

Pantry Maintenance:
• Conduct scheduled pantry sweeps.
• Restock pantry supplies.
• Monitor and order pantry supplies.

General Office Support:
• Assist with organizing office events and setups
• Lift and move boxes weighing up to 40 lbs safely.
• Collaborate with the onsite team to support day-to-day office operations.

Supply Management:
• Restock office supplies as needed.
• Maintain inventory records for office supplies.
• Advise office team when and what reordering /replenishment is required in a written format.

Requirements:

• Strong attention to detail and organizational skills
• Ability to lift and move boxes up to 40 lbs.
• Basic knowledge of shipping processes, particularly FedEx (preferred but not required).
• Willingness to learn, grow and participate in an open plan office environment. Open to learning and acquiring new skillsets in spreadsheet creation and document preparation.
• A positive attitude and ability to work both independently and contribute as part of a team.

Preferred Skills:

• Familiarity with basic office software, including Excel and Word.
• Previous experience in inventory management, print production, or mailroom operations.
• Good organizational skills, comfortable with paperwork, recording keeping, note taking .

Work Environment:

• This role involves physical tasks such as lifting and moving boxes and organizing supplies.
• Office-based position with a focus on hands-on tasks.
• Respectful and comfortable working with all levels of management and support staff.
• Comfortable and amenable to juggling a variety of tasks , shifting priorities but remaining on track and finishing EOD goals and tasks.
• Responsible ,dependable and cognizant that a team effort is a group effort . Innate willingness to pitch in and assist where called up and work with different departments and personnel in addition to onsite team.

ABOUT US

At RADAR, we're transforming the way the world thinks about physical retail. RADAR has raised over $104M from top investors, retailers, and strategics and works with some of the world's retail brands including American Eagle and Gap. We’re building the future of in-store experience where every product and every person can be precisely located in real time.

Our platform combines RFID and AI to unlock hyper-accurate product visibility and automation at scale. From real-time inventory tracking to seamless checkout experiences, our technology empowers some of the world’s largest retailers to streamline operations, reduce loss, and elevate both employee and customer experiences.

We’re a fast-growing, mission-driven startup where bold ideas, collaboration, and impact are at the core of everything we do. Join us as we reshape the physical world with digital precision, starting with retail and expanding far beyond!

OUR VALUES

Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters.

Collaborative Team: We thrive on curiosity, shared goals, and solving complex problems together.

High Impact: You’ll make meaningful contributions from day one and help shape the future of our product and company.

Clear Communication: We value honesty, humility, and respectful dialogue—everyone’s voice matters.

Balanced Lives: We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work.

Diverse Perspectives: We believe better ideas come from diverse backgrounds, experiences, and viewpoints.

Empathy-Driven Design: We build with deep respect for our end users, listening closely to their feedback and needs.

ABOUT THE JOB

The Senior Specialist, Program Management (Deployment Operations) owns the planning and execution backbone of RADAR's fleet deployment program - from scheduling and resource allocation through financial oversight and cross-functional coordination.

This role requires a systems-oriented and process-obsessed mindset to deliver structure, repeatability, and discipline to a deployment program spanning hundreds of sites and multiple stakeholder teams. It isn't just about tracking what is happening - it's about building the frameworks and routines that make execution more predictable and cross-functional handoffs cleaner.

Sitting within Deployment Operations, this role works closely with the Deployment Operations Lead, Deployment Support Manager, the Pilots and Special Projects team, Customer Experience, Store Planning, and external installation partners to ensure work is sequenced intelligently, resources are allocated efficiently, and overall program spend is managed proactively.

Responsibilities:

Fleet Rollout Scheduling and Coordination

• Own the deployment schedule across multiple customer rollout programs, ensuring work is sequenced to meet customer commitments, sales demand, and operational capacity.
• Maintain clear visibility into pipeline, backlog, and in-flight deployments - with supporting trackers and dashboards that give leadership real-time status without manual status chasing.
• Balance field resource allocation across customers and programs to maximize throughput and minimize scheduling conflicts.
• Identify scheduling risks early and escalate with clear options and recommendations.