Reporting to the Manager, Specialty Care Retention, this senior engineer will design, build, and ship full stack features that empower members to begin their mental health journey. You’ll collaborate with product, design, clinical, and other engineers to turn experiments into safe, measurable, production features.

Please note that this is a hybrid role based in San Francisco, with an expectation to be in the office 2–3 days per week at our 44 Montgomery Street location. Candidates must be based in the San Francisco metro area or able to relocate independently within 90 days of their start date. Occasional travel will be required for team on-sites.

What you’ll do: 

• Write, review, and optimize production-ready code daily, while driving key technical decisions and advocating for high engineering standards
• Architect and deliver scalable, high-performance code that ensures long-term maintainability and system reliability
• Own technical delivery for complex projects or subsystems
• Collaborate with cross-functional teams to ship high-impact features that improve our member and provider experience
• Debug and resolve issues quickly and efficiently
• Participate in an on-call rotation to support system reliability and respond to production issues
• Collaborate flexibly across time zones, as needed, to support distributed teams and stakeholder
• Mentor and support the growth of junior engineers

What success looks like:

• Deliver projects on time, within scope, and with high stakeholder satisfaction
• Maintain high system uptime and low defect rates through strong testing and observability practices
• Partner effectively with product, design, data, or other teams, contributing meaningfully to team goals and alignment
• Lead high-quality code reviews and technical discussions
• Influence team velocity and architecture through mentorship and planning contributions
• Drive continual improvement in team delivery, reliability, and system maintainability

What you’ll bring:

• 5+ years of experience in software development with a focus on full stack development
• Experience with Ruby on Rails, GraphQL, and AWS
• Experience with React, Redux, and modern JavaScript frameworks
• Experience with Docker and managing CI/CD pipelines
• Proven ability to independently lead delivery of complex technical projects
• Experience working in cross-functional Agile/Scrum teams
• Strong problem-solving skills and attention to detail
• Track record of mentoring junior engineers and leading by example

The target base salary range for this position is $183,000 - $205,550, and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay. 

Benefits provided by Spring Health:

Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria.

• Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type.
• Employer sponsored 401(k) match of up to 2% for retirement planning
• A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents.
• We offer competitive paid time off policies including vacation, sick leave and company holidays.
• At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents.
• Access to Noom, a weight management program—based in psychology, that’s tailored to your unique needs and goals. 
• Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses.
• Access to Wellhub,  which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription
• Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care
• Up to $1,000 Professional Development Reimbursement a year.
• $200 per year donation matching to support your favorite causes.

About the Role

Together AI is building high-performance inference compute and the software platform around it. We’re looking for an early-career Data Warehouse Engineer with strong fundamentals and high growth potential to grow into a technical lead over time. You’ll contribute to designing and operating our data warehouse, ETL pipelines and orchestration, work on core data models and metrics, and help raise the bar on data quality and governance across the org — with mentorship and support from experienced engineers.

Requirements

• 0–4 years of professional experience (or strong internships/projects) working with data warehouses, pipelines, or analytics engineering.
• Solid SQL fundamentals — you’re comfortable writing queries and have some exposure to window functions or dimensional modeling concepts.
• Some hands-on experience with dbt or Airflow, or strong eagerness to learn — coursework and personal projects count.
• Basic Python for scripting and data tooling; any exposure to Spark (PySpark/SQL) is a plus.
• Familiarity with data modeling concepts like SCD2 or star schemas — even if only from coursework.
• Good communication skills: you can ask clarifying questions, explain your reasoning, and work with stakeholders to understand their needs.
• High standards for data quality, reliability, and maintainability — you care about getting things right.

Responsibilities

• Contribute to building and maintaining a medallion/curated data warehouse stack (bronze/silver/gold) for product, usage, billing, and operational data.
• Build and maintain Airflow orchestrated pipelines and dbt transformation projects (modular, tested, documented).
• Help design analytics-ready models: SCD Type 2, star schemas, and appropriate normalization for upstream canonical layers.
• Learn and apply Master Data Management (MDM) patterns (golden records, reference data, deduping, identity resolution).
• Implement data quality checks (freshness, nulls, referential integrity, distribution drift, anomaly detection).
• Contribute to data governance habits: data stewardship, ownership, SLAs, and clear definitions for “source of truth.”
• Help build and maintain a business semantic layer (consistent metric definitions, dimensions, and reusable logic) used by notebooks/BI.
• Partner with stakeholders (Product, Engineering, Finance, GTM, Ops) to translate questions into durable datasets and metrics.
• Use SQL, Python, and Spark where scale demands it; optimize for correctness, performance, and cost.

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $130,000 - $170,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

About the Role

Together AI is building high-performance inference compute and the software platform around it. We’re looking for an early-career Analytics Engineer with strong fundamentals and high growth potential to grow into a technical lead over time. You’ll contribute to designing and operating our data warehouse, ETL pipelines and orchestration, work on core data models and metrics, and help raise the bar on data quality and governance across the org — with mentorship and support from experienced engineers.

Requirements

• 0–4 years of professional experience (or strong internships/projects) working with data warehouses, pipelines, or analytics engineering.
• Solid SQL fundamentals — you’re comfortable writing queries and have some exposure to window functions or dimensional modeling concepts.
• Some hands-on experience with dbt or Airflow, or strong eagerness to learn — coursework and personal projects count.
• Basic Python for scripting and data tooling; any exposure to Spark (PySpark/SQL) is a plus.
• Familiarity with data modeling concepts like SCD2 or star schemas — even if only from coursework.
• Good communication skills: you can ask clarifying questions, explain your reasoning, and work with stakeholders to understand their needs.
• High standards for data quality, reliability, and maintainability — you care about getting things right.

Responsibilities

• Contribute to building and maintaining a medallion/curated data warehouse stack (bronze/silver/gold) for product, usage, billing, and operational data.
• Build and maintain Airflow orchestrated pipelines and dbt transformation projects (modular, tested, documented).
• Help design analytics-ready models: SCD Type 2, star schemas, and appropriate normalization for upstream canonical layers.
• Learn and apply Master Data Management (MDM) patterns (golden records, reference data, deduping, identity resolution).
• Implement data quality checks (freshness, nulls, referential integrity, distribution drift, anomaly detection).
• Contribute to data governance habits: data stewardship, ownership, SLAs, and clear definitions for “source of truth.”
• Help build and maintain a business semantic layer (consistent metric definitions, dimensions, and reusable logic) used by notebooks/BI.
• Partner with stakeholders (Product, Engineering, Finance, GTM, Ops) to translate questions into durable datasets and metrics.
• Use SQL, Python, and Spark where scale demands it; optimize for correctness, performance, and cost.

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $130,000 - $170,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

Figma is building a Sales AI Transformation function to embed AI across the sales workflow - reducing manual work, improving decision-making, and simplifying how reps and managers operate day-to-day. 

As the founding Sales AI Engineer, you’ll be a hands-on builder who designs and ships AI-enabled workflows that connect systems like Salesforce, Slack, and our data stack. You’ll move quickly from prototype to production, measure adoption and impact, and create reusable patterns that help the broader GTM organization build and scale what works.

This is a full time role that can be held from one of our US hubs or remotely in the United States. 

What you’ll do at Figma:

• Build and operationalize AI-powered workflows that improve daily execution for sales reps and managers (e.g., account insights, CRM hygiene, coaching workflows, outbound research/personalization)
• Integrate across the GTM stack using APIs, automation platforms, and lightweight internal tools; ensure clean data flow and reliable execution
• Apply LLMs pragmatically: choose the lightest safe solution, constrain outputs, and build quality checks and monitoring so workflows can be trusted in production
• Partner with SalesOps, Enablement, and GTM Systems to align on requirements, rollout, governance, and production deployment
• Create reusable patterns (templates, agents, connectors, documentation) that enable distributed adoption rather than central dependency
• Define success metrics for each workflow, track adoption and business impact, and iterate based on real usage and outcomes

Wire transfers trace their roots back to the telegraph, early systems built to move information and eventually money across long distances with speed and certainty. That legacy still defines how wires work today: they are fast, final, and effectively immutable. Once a transaction is sent, it cannot be undone.

This makes wires some of the most exacting systems in modern finance. They power critical moments for businesses, including payroll, large vendor payments, and capital movement, where precision, reliability, and trust are essential. When they work, they’re invisible. When they don’t, the consequences are immediate.

At Mercury, wires and real-time payments sit at the core of how businesses move money. The Domestic Wires & RTP team builds the systems behind secure, compliant, and reliable money movement, enabling customers to move significant amounts of capital with confidence. These systems must balance speed with safety, scale with strict controls, and product flexibility with regulatory requirements.

As instant payments become the expectation rather than the exception, the importance and complexity of this work continues to grow. And as Mercury pursues a bank charter, this team is at the leading edge of building the infrastructure and controls required to operate bank-grade payments systems. We’re looking for a seasoned engineering leader to guide the Domestic Wires & RTP team through its next stage of growth. This role will be the senior frontline manager in the payment rails group: they will be expected to grow with the domain as new payment capabilities and teams emerge.

As part of this role, you will:

• Lead a team of 7+ backend and full-stack engineers
• Hire, mentor, and retain high-performing engineers across experience levels
• Help shape the organization structure as the payment rails group scales
• Coach emerging leaders within the group
• Drive predictable execution against company and product goals
• Foster a healthy, engaging, and high-performing team environment
• Uphold a high bar for technical quality, reliability, and system stability
• Align engineering work with Mercury’s values and long-term strategy
• Partner closely with product and design to identify and prioritize high-impact work
• Collaborate across teams to build cohesive products and simpler, more maintainable systems
• Balance new development with ongoing maintenance and operational excellence

The ideal candidate for the role:

• Has 5+ years of experience managing software engineering teams at multiple organizations (experience leading remote-first, distributed teams is a plus)
• Has been hired as an external manager previously and knows how to gain domain knowledge to have positive impact quickly
• Experience operating in high-responsibility/high-impact domains
• Comfortable with ambiguity and growing scope
• Track record of leading through cross-functional and cross-team coordination
• Brings strong technical judgment and credibility: you’ll interview at a similar technical depth as senior ICs
• Is familiar with our tech stack (especially Haskell), or excited to learn it
• Has experience in finance, fintech, or banking* systems (payments experience is a plus)

If this role interests you, we invite you to explore our public demo at demo.mercury.com. 

The total rewards package at Mercury includes base salary, equity (stock options), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees (any location): $239,000 - $298,800
• Canadian employees (any location): CAD 225,900 - 282,400

*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024. 

[Please see the independent bias audit report covering our use of Covey for more information.] 

#LI-MC1

Your Impact at LILA

Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Science AI (LSAI), we are launching a new AI for Cell Biology team to develop autonomous-science capabilities for cellular and tissue biology; spanning single-cell omics, perturbation biology, spatial profiling, imaging, genetics, and multi-modal experimental data that integrate deep biological expertise with foundation modeling and agentic systems.

We are seeking a Sr. Principal or Distinguished ML Scientist to be the founding senior ML Scientist on this team. This is a 0→1 leadership-grade role with a clear, complementary partnership at the top of the team. You will co-develop the team's scientific direction with the VP of AI for Cell Biology, and you will own the integration of cell-biology research with Lila's central autonomous-science platform — the foundation-model, agentic-systems, and experimental-automation infrastructure that closes the loop between AI reasoning and the lab. Where the VP carries cross-functional implementation (applications, commercial activities, and the operating interfaces with our autonomous-lab and product teams), you carry the technical architecture by which cell-biology research becomes part of Lila's broader autonomous-science capability.

Cell- and tissue-scale biology sits at an open frontier of AI for science. The field has produced strong specialist models across sub-domains — single-cell foundation models, structural prediction, perturbation response, cellular imaging, pathway and ligand–receptor inference — but the architecture for system-level reasoning that ties these together, grounds them in experimental reality, and produces actionable mechanism-of-action hypotheses is still being defined. We have a working point of view on that architecture and on how Lila's autonomous-science platform extends to cellular biology; you will refine, challenge, or replace it. The architectural choices you make alongside the VP will shape what Lab-in-the-Loop autonomous science looks like at cell and tissue scale.

This is a senior role for someone operating at the frontier of generative AI applied to biology, with the scientific judgment to define research strategy and the technical depth to drive end-to-end the architecture that integrates cell-biology research with our autonomous-science platform.

What You'll Be Building

• Co-develop the scientific direction. Partner with the VP to define the cell-biology research agenda end-to-end — from problem formulation through architecture, large-scale training, evaluation, and integration into Lila's Lab-in-the-Loop autonomous-science lifecycle.
• Own integration with Lila's central autonomous-science platform. Architect how cell-biology research feeds into and benefits from Lila's foundation-model, agentic-systems, and experimental-automation infrastructure. This includes the cross-program inference architecture; the data, reasoning-trace, and experimental-protocol specifications shared with our central AI Research and autonomous-lab teams; the contribution path of cell-biology research into Lila's broader autonomous-science capability; and the working partnerships with those central teams that make integration coherent.
• Lead the foundation-model and integration architecture. Own the technical choices that turn cell-biology data into mechanism-grounded scientific inference — including which models to train or adapt at scale, which strong specialists to integrate from the field (single-cell foundation models, structural prediction, perturbation, spatial, imaging, pathway), and how to compose them into end-to-end reasoning systems. The design space is open and the architectural bet is yours to shape with the VP.
• Lead agentic discovery. Build systems that plan, execute, and reason over scientific experiments — closing the loop between models, our autonomous experimental platform, and wet-lab feedback to accelerate cellular and tissue biology research.
• Own the cross-program evaluation architecture. Design and steward the benchmarks and evaluation methodology that gauge progress across the team's cell-biology research programs and that show how those gains accrue to Lila's broader autonomous-science capability over time. Benchmarks you stand up here outlive any single program and become part of Lila's standing scientific evaluation suite.
• Translate between biology and ML. Frame complex cellular, multi-cellular, and tissue-scale biology questions as well-defined ML problems, and interpret model outputs alongside experimental scientists and computational biologists.
• Carry the scientific narrative. Internally, set technical standards for scientific excellence, reproducibility, and rigorous benchmarking, and grow scientific coherence across the team's research programs. Externally, represent Lila's AI for Cell Biology research through publications, talks, and engagement at premier scientific and ML venues.

What You'll Need to Succeed

• Education. PhD in Computer Science, Machine Learning, Computational Biology, or a related quantitative field.
• Research excellence. A track record of impact at premier venues — first- and last-author publications at ICLR, ICML, or NeurIPS (full track) and/or Nature, Science, Cell, or specialized titles (Nature Methods, Nature Biotechnology, Nature Medicine). Equivalent industry track records — production agentic-systems leadership, recognized open-source impact, or peer-reviewed contributions of comparable scope — are explicitly welcome substitutes.
• Foundation modeling and systems integration depth. Deep expertise in large-scale generative or representation-learning model architectures, with hands-on experience training and adapting them at scale, and hands-on experience integrating multiple specialist models into end-to-end reasoning systems. The role's architectural bet sits across both capabilities; the right balance is yours to shape.
• Agentic and autonomous-science systems experience. Demonstrated work on agentic, active-learning, or closed-loop systems — particularly those that plan, decide, or reason over scientific or experimental processes, and ideally those coupled to automated or autonomous laboratory infrastructure.
• Cell- and tissue-biology fluency. Working fluency across multiple cell-biology data modalities — single-cell omics, perturbation biology, spatial profiling, cellular imaging, multi-omics — with experience designing computational experiments grounded in biological reality at cell-and-tissue resolution. We are looking for breadth across the cell-and-tissue stack, not narrow expertise in a single sub-modality.
• Co-authorship of research strategy. Demonstrated ability to co-develop and drive research agendas in partnership with senior peers, in early-stage or greenfield environments, from problem framing through publication and deployment. This role is interdependent with the VP by design; pure independent program leadership is not what we are hiring for.
• Cross-functional collaboration. Strong track record of collaboration across experimental scientists, computational biologists, and central AI/ML or platform-engineering teams. Bilingual translation between cell biology and ML is a daily activity.
• Tooling. Expertise in modern ML frameworks (PyTorch, JAX, or TensorFlow).

Bonus Points For

• Experience composing specialist biology models (e.g., sequence-to-function models, single-cell foundation models, structural prediction models, perturbation models, imaging models) into multi-step reasoning systems.
• Experience with closed-loop or Lab-in-the-Loop workflows where computational predictions drive experimental decisions and experimental results retrain or retune models.
• Experience with large-scale distributed training infrastructure (cloud or on-prem clusters) — useful but not required, since this role primarily consumes rather than operates such infrastructure.
• Contributions to open-source ML tools, frameworks, or benchmark datasets for scientific (especially cell-biology) applications.
• Track record of recruiting, mentoring, or growing high-performing ML research talent.
• Experience presenting strategic technical visions to executive stakeholders or external scientific communities.

Senior Software Engineer, Energy Storage

This position is on a team building the software platform that powers optimized control and market participation of battery energy storage systems (BESS) — software that runs both on site controllers and in the cloud. Our scope spans the full stack: compute infrastructure, telemetry, asset modeling, alerting, feature ingestion and storage for forecasting and optimization, simulation and operational control orchestration, and integration with energy markets. We're a lean team that holds ourselves to high standards in both the quality of what we build and the speed at which we build it. We value collaboration, trust, learning, and engineering excellence, and we genuinely enjoy building great things together.

Responsibilities will include:

• Contribute to BESS data engineering — building and maintaining telemetry pipelines and stores, and feature ingestion and storage systems for forecasting and optimization
• Design, build, and maintain simulation and training infrastructure — platforms for running and orchestrating simulations at scale
• Develop and operate real-time forecast and optimization workflows, orchestrating pipelines that drive BESS operations
• Support energy market integration, including data ingestion and bid management
• Collaborate across the full stack and across team boundaries to ensure the product system works well as a whole
• Write well-tested, well-monitored software and iteratively improve it over time
• Apply AI tools to accelerate development while maintaining high system design quality and code standards

Desired Qualifications: 

• Strong software design instincts — thinks in systems, reasons from first principles, and understands the real-world challenges of building available, reliable, scalable, and secure distributed systems
• Comfortable using AI tools to move faster without letting them erode system design or code quality
• Excellent collaborator — communicates clearly, listens well, and makes the people around them better
• Bias toward action — takes initiative, makes progress in ambiguous situations, and doesn't wait for perfect information
• Systems thinker and owner — willing to think and collaborate across team boundaries to make sure the product works well as a whole
• Rigorous about quality — writes well-tested, well-monitored software and iterates on it over time
• B.S. or advanced degree in Software Engineering, Computer Science, or another discipline, combined with 2-5 years of experience in software engineering.
• Experience with relevant technologies a plus: Kubernetes, Rust, Python, NATS, PostgreSQL/TimescaleDB, SQLite
• A passion for sustainability and making the world a better place! 

About this role

As a Staff Machine Learning Platform Engineer, you will help design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance. You are the technical bridge between data science and production engineering.  You’ll be joining a small but deeply critical team that scales Faire’s ability to support tens of thousands of local businesses in a constantly narrowing retail landscape.

What You Will Do

• Design and operate ML infrastructure, including workspaces, clusters, jobs, and workflows
• Productionize ML workloads using Spark, Delta Lake, MLflow, and Databricks Workflows
• Teach data scientists how to utilize our ML platform to advance development from notebook to production for our most critical models
• Implement Unity Catalog for data governance, lineage, access control, and secure multi-tenant usage
• Build CI/CD pipelines for ML using Terraform and Git-based workflows (e.g., GitHub Actions)
• Optimize performance, reliability, and cost across training and inference workloads
• Configure Identity and Access Management (IAM) and Role Based Authentication Controls (RBAC) for sensitive data sets
• Establish observability for data quality, model performance, and platform health
• Build and maintain ML Platform technical documentation

What it takes

• 8+ years of experience building production ML or data platforms
• A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field
• Strong hands-on expertise with Databricks, Spark, Delta Lake, and MLflow.
• Proficiency in Python, SQL, and distributed systems concepts
• Experience with cloud platforms and infrastructure-as-code
• Solid understanding of MLOps best practices: CI/CD, monitoring, reproducibility, and security
• Experience supporting multiple ML teams in a shared platform environment
• Are an active owner of orphaned problems and are willing to assimilate whatever knowledge you’re missing to get the job done

Tech Stack

Faire uses a modern cloud based tech stack.  For this role, you’ll want to be proficient with the following:

Salary Range

Canada: the pay range for this role is $216,000 to $297,000 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

About this role

As a Staff Machine Learning Platform Engineer, you will help design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance. You are the technical bridge between data science and production engineering.  You’ll be joining a small but deeply critical team that scales Faire’s ability to support tens of thousands of local businesses in a constantly narrowing retail landscape.

What You Will Do

• Design and operate ML infrastructure, including workspaces, clusters, jobs, and workflows
• Productionize ML workloads using Spark, Delta Lake, MLflow, and Databricks Workflows
• Teach data scientists how to utilize our ML platform to advance development from notebook to production for our most critical models
• Implement Unity Catalog for data governance, lineage, access control, and secure multi-tenant usage
• Build CI/CD pipelines for ML using Terraform and Git-based workflows (e.g., GitHub Actions)
• Optimize performance, reliability, and cost across training and inference workloads
• Configure Identity and Access Management (IAM) and Role Based Authentication Controls (RBAC) for sensitive data sets
• Establish observability for data quality, model performance, and platform health
• Build and maintain ML Platform technical documentation

What it takes

• 8+ years of experience building production ML or data platforms
• A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field
• Strong hands-on expertise with Databricks, Spark, Delta Lake, and MLflow.
• Proficiency in Python, SQL, and distributed systems concepts
• Experience with cloud platforms and infrastructure-as-code
• Solid understanding of MLOps best practices: CI/CD, monitoring, reproducibility, and security
• Experience supporting multiple ML teams in a shared platform environment
• Are an active owner of orphaned problems and are willing to assimilate whatever knowledge you’re missing to get the job done

Tech Stack

Faire uses a modern cloud based tech stack.  For this role, you’ll want to be proficient with the following:

Salary Range

San Francisco: the pay range for this role is $246,500 to $339,000 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

What You’ll Do:

As a Senior Insider Risk Engineer, you will lead the technical engineering of our user-centric monitoring capabilities.  Your primary focus will be the development, tuning, and optimization of Data Loss Prevention (DLP) policies and the ingestion/analysis of cloud-native, endpoint and SaaS audit logs.  You will operate with a high degree of autonomy in designing, implementing, and evolving detection logic and telemetry pipelines,  transforming raw telemetry into actionable behavioral intelligence. 

About the role:

• DLP Policy Engineering: Design, develop, and deploy advanced detection logic and use cases within the Insider Risk platforms to identify unauthorized data movement, anomalous system activity, and policy violations. Independently identify gaps in detection coverage and propose, implement, and tune new DLP use cases to address emerging insider risk scenarios. 
• Cloud & SaaS Telemetry Analysis: Work with Security Engineering department to ingest and normalize high-fidelity telemetry from cloud environments, SaaS services, and endpoint agents into the Insider Risk security stack/tooling.
• Behavioral Detection Development: Design and implement technical “tripwires” and behavioral models that identify patterns associated with data exfiltration, such as unusual download volumes, unauthorized file sharing, or anomalous access to sensitive repositories.
• Data Pipeline Oversight: Define telemetry requirements and partner with Security Engineering to build and maintain high-fidelity data pipelines from DLP agents and cloud providers into our monitoring platforms.
• Technical Incident Support: Serve as the technical subject matter expert during complex investigations, providing deep-dive forensic analysis, log reconstruction and evidence gathering and preservation. Drive improvements to investigative tooling, detection feedback loops, and post-incident telemetry requirements.
• Infrastructure Maintenance: Manage the health, configuration, and continuous optimization of the Insider Risk technology stack.

Who You Are: 

• 7+ years experience in Security Engineering or Security Operation and 4+ years of  DLP or user-centric monitoring experience.
• Demonstrated expertise in configuring and/or managing enterprise-grade DLP solutions (e.g. Proofpoint ITM, Netskope, Digital Guardian, Forcepoint or Symantec) and cloud-native security tools.
• Deep proficiency in analyzing and querying cloud audit logs to reconstruct user activity.
• Strong command of data analysis languages to parse large datasets and identify behavioral trends.
• Experience identifying gaps in telemetry or detection coverage and driving improvements. 

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. 

• Experience building or maintaining User and Entity Behavior Analytics (UEBA) logic.
• Experience with Cloud Security Posture Management (CSPM) and managing visibility in multi-cloud environments.
• Knowledge of data classification frameworks and the technical implementation of data labeling/tagging.
• Familiarity with global privacy regulations (e.g.GDPR, CCPA) and the technical requirements for compliant data monitoring.
• Experience operating in high-sensitivity environments requiring strong judgment around privacy, ethics, and employee trust. 

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
Network Services Team
The Network Services team builds and operates the foundational networking that powers CoreWeave’s Kubernetes platforms at cloud scale. The team is responsible for container networking, connectivity, and network services that support large-scale, GPU-driven workloads across regions and environments. They focus on scalability, reliability, security, and performance while delivering intuitive platforms for internal teams and customers.

About the Role
As a Senior Engineer focused on our Cilium-based CNI, you will design, build, and operate the container networking layer that underpins CoreWeave’s Kubernetes platforms. Day to day, you will work on evolving our CNI stack to support large, high-density GPU clusters with demanding throughput and latency requirements. You will partner closely with Kubernetes, Infrastructure, and Network Services engineers to ensure the platform is highly available, observable, and secure. This role spans architecture, implementation, and operations, with ownership from prototype through production. You will also help shape how our networking platform scales for future growth.

Who You Are

• 5+ years of experience as a Software Engineer or Systems Engineer working on cloud infrastructure or large-scale distributed systems.
  
  
• Hands-on production experience with Cilium CNI (or equivalent advanced CNIs), including cluster configuration and lifecycle management.
  
  
• Strong understanding of Cilium’s eBPF datapath, policy model, and load-balancing mechanisms.
  
  
• Deep knowledge of cloud networking concepts, including VPCs, subnets, routing, security groups/ACLs, NAT, and ingress/egress architectures.
  
  
• Experience designing multi-tenant network architectures with strong isolation and security.
  
  
• Solid grounding in TCP/IP, dynamic routing (e.g., BGP), ECMP, MTU/fragmentation, and overlay/underlay networking (VXLAN, Geneve, encapsulation).
  
  
• Experience with network observability and troubleshooting across L3–L7.
  
  
• Proficiency in at least one systems language such as Golang or C/C++.
  
  
• Experience working in modern CI/CD environments.
  
  
• Experience operating Kubernetes at scale, including cluster lifecycle management and debugging networking issues across pods, nodes, and external services.
  
  
• Demonstrated ownership of complex systems end-to-end.
  
  

Preferred

• Experience operating cloud-scale network services across tens of thousands of nodes and multiple regions.
  
  
• Contributions to Cilium, Kubernetes, or related open-source networking projects.
  
  
• Experience with eBPF development and performance tuning.
  
  
• Experience building Kubernetes operators or controllers.
  
  
• Familiarity with service meshes, multi-cluster networking, or cluster mesh solutions.
  
  
• Experience in GPU-heavy, HPC, or other performance-sensitive environments.
  
  

Wondering if you’re a good fit?
We believe in investing in our people and value candidates who bring diverse experiences — even if you’re not a 100% match on paper. If some of this sounds like you, we’d love to talk.

• You love solving complex distributed systems and networking challenges at scale.
  
  
• You’re curious about cloud-native networking, eBPF, and Kubernetes internals.
  
  
• You’re an expert in building reliable, scalable infrastructure that runs in production.
  
  

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

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 Storage Engine Team at CoreWeave is responsible for the product capabilities and data plane function of CoreWeave’s managed storage products. We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world’s most demanding AI workloads.

About the role:

• Design and Implement distributed storage solutions to support scaling data intensive AI workloads.
• Contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments.
• Work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency.
• Lead efforts to improve the reliability, durability, security, and observability of our storage stack.
• Collaborate with operations teams to monitor, troubleshoot, and improve storage systems in production environments.
• Set the bar for developing metrics and dashboards to provide visibility into storage performance and health.
• Analyze telemetry and system data to drive improvements in throughput, latency, and resilience.
• Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack.
• Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems.

Who You Are: (This section has to be the technical and measurable requirement of the role, soft skills cannot be measured) 

• Bachelor’s, Master’s, or PhD degree in Computer Science, Engineering, or a related field.
• 8–10+ years of experience working in storage systems engineering or infrastructure.
• Strong hands-on experience with object storage or distributed filesystems in production environments.
• Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar.
• Proficiency in a systems programming language such as Go, C, or Rust.
• Proficiency leveraging AI tools to augment software development.
• Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana).
• Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures.

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 to grow and push the boundaries of your expertise
• You’re curious about distributed storage and the demands AI/ML workloads
• You’re an expert in data persistence on physical media, high performance data transfer using RDMA, or resilient distributed systems.

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 $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 Enterprise Security team at CoreWeave is responsible for securing how our people work every day—identity, endpoints, networks, and SaaS—so the company can move fast without compromising safety. This team owns the controls, guardrails, and automation that keep our workforce, contractors, and critical business applications protected in a modern, cloud-native environment.

If you’re excited about zero trust, phishing-resistant MFA, and building secure-by-default experiences that actually make people more productive, this is the team to join.

About the Role:

As a Senior Security Engineer, Enterprise Security, you’ll design and ship the security controls that underpin CoreWeave’s workforce and enterprise stack. You’ll lead initiatives across identity, access management, device and endpoint security, and SaaS security—partnering closely with IT Engineering, Endpoint, Network, and other security teams.

Your day-to-day will blend hands-on engineering (writing code, building integrations, tuning controls) with architecture and program ownership (setting standards, defining patterns, and driving adoption across teams). You’ll be responsible for turning high-level objectives—like “implement zero trust for workforce access” or “deploy phishing-resistant MFA at scale”—into concrete designs, automation, and measurable risk reduction.

In this role, you will:

Engineer modern identity and access controls

• Design, implement, and operate workforce identity solutions (e.g., Okta/Entra and other IdPs) including SSO, MFA, conditional access, and lifecycle automation via SCIM.
• Develop and roll out phishing-resistant MFA for high-value accounts and critical access paths (e.g., FIDO2/WebAuthn, hardware keys, device-bound authenticators).
• Define and maintain RBAC/IAM patterns for enterprise applications (role models, groups, entitlements, JIT access, and approvals).

Implement zero trust for workforce and enterprise access

• Design and deploy controls that combine user identity, device posture, network context, and application sensitivity to enforce least-privilege access.
• Partner with Network and Infrastructure teams to integrate mTLS, service identity, and policy-based access into internal services and admin interfaces.
• Help transition from legacy perimeter models to zero trust network access (ZTNA) patterns for employees, contractors, and third parties.

Secure SaaS and collaboration platforms

• Evaluate, onboard, and harden SaaS applications (Google Workspace, Microsoft 365, Slack, HRIS, ticketing, and other business apps) to align with enterprise security policies.
• Implement and tune controls such as SCIM provisioning, data access policies, DLP, sharing controls, and audit logging across the SaaS estate.
• Partner with business and IT owners to ensure new SaaS applications meet baseline security standards before adoption.

Harden endpoints and the extended workforce

• Collaborate with Endpoint/IT teams to define and enforce baseline configurations for laptops, workstations, and other managed devices via MDM and EDR.
• Design secure patterns for contractor and vendor access, including device requirements, identity separation, and time-bound access.
• Support investigations and incident response related to identity, endpoint, and SaaS domains.

Automate and instrument everything you can

• Build automation and self-service experiences for access requests, approvals, access reviews, and break-glass workflows.
• Develop integrations between IdPs, HRIS, ticketing, and other systems to minimize manual toil and reduce identity-related error rates.
• Define and instrument metrics for enterprise security (e.g., MFA coverage, zero trust policy enforcement, joiner/mover/leaver SLA adherence, SaaS posture).

Partner on detection, response, and governance

• Work with Security Operations and SIEM teams to ensure robust visibility into identity, device, and SaaS activity, and to build high-signal detections.
• Contribute to policies, standards, and reference architectures that encode enterprise security expectations.
• Author clear documentation and runbooks that make it easy for teams to consume and operate the controls you build.

Who You Are:

Minimum Qualifications

• 5+ years of experience in enterprise security, identity and access management, or closely related security engineering roles.
• Strong, practical understanding of modern IAM concepts: SSO, federation, RBAC/ABAC, JIT access, least privilege, and separation of duties.
• Hands-on experience implementing and operating SSO and workforce identity with platforms such as Okta, Entra ID, or equivalent IdPs.
• Deep familiarity with SAML, OAuth 2.0/OIDC, and SCIM, including real-world experience integrating these protocols with third-party SaaS and internal apps.
• Demonstrated experience designing and rolling out MFA, ideally including phishing-resistant approaches (FIDO2/WebAuthn, hardware security keys, device-bound authenticators, step-up authentication).
• Experience designing and deploying zero trust or context-aware access controls (e.g., device trust, network segmentation, mTLS, ZTNA) in hybrid or remote-friendly environments.
• Proficiency in at least one modern scripting or programming language (e.g., Python, Go) used to build automations, integrations, or internal tooling.
• Experience securing and integrating business-critical SaaS (e.g., Google Workspace, Microsoft 365, Slack, Atlassian, HRIS, ticketing) including SCIM provisioning, access reviews, and audit log ingestion.
• Familiarity with MDM and endpoint security tooling (e.g., Jamf, Intune, EDR platforms) and how they tie into identity and access decisions.
• Exposure to SIEM/detection ecosystems (e.g., Elastic) and experience collaborating with detection & response teams on identity/endpoint/SaaS detections.
• A track record of owning cross-functional projects from design through adoption, with an emphasis on measurable risk reduction and user experience.

Preferred

• Experience working in high-growth or hyperscale environments where security must keep pace with rapid headcount and tooling expansion.
• Hands-on experience with zero trust network access or secure access products (e.g., ZTNA, secure web gateways, or identity-aware proxies).
• Familiarity with enterprise security standards and frameworks (e.g., SOC 2, ISO 27001, NIST 800-53) and mapping enterprise controls to these requirements.
• Experience with SaaS security posture management (SSPM), CASB, DLP, or insider risk tooling focused on collaboration platforms and data access.
• Experience building or contributing to internal security tooling (e.g., access review automation, JML workflows, policy-as-code).
• Participation in security communities, standards groups, or open-source contributions in IAM, zero trust, or enterprise security.

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 to build secure-by-default experiences that remove friction instead of adding gates, and you think deeply about usability when you design controls.
• You’re curious about how identity, devices, networks, and SaaS all intersect in real-world zero trust architectures—and you like “drawing the owl” where clear patterns don’t yet exist.
• You’re an expert in turning vague risk concerns into concrete requirements, automation, and metrics, and you enjoy collaborating across Security, IT, and business teams to get it done.

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:

Description of the Team
The IT Business Systems (GTM) team at CoreWeave owns the application stack that powers the end-to-end customer lifecycle — from lead to quote to cash. The team designs and operates systems that support a hyper-growth AI cloud business, partnering closely with Revenue Operations, Marketing Operations, Finance, Billing, and Customer Experience to deliver scalable, compliant, and automated workflows.

About the role:
As a Senior Salesforce Engineer, you will serve as a hands-on technical leader responsible for designing, building, and operating Salesforce solutions across Sales Cloud, Revenue Cloud / CPQ, and GTM integrations. You will work on high-impact initiatives including post-acquisition system integrations, implementation of a new usage-based billing platform, and enhancements across quoting, forecasting, and revenue operations. This role involves deep ownership of CPQ workflows as well as broader platform architecture and integrations with finance and GTM systems. You will partner cross-functionally with GTM, Finance, and IT leadership to deliver scalable, reliable solutions that support CoreWeave’s continued growth.

Who You Are:

• 8+ years of Salesforce engineering and development experience
• Hands-on expertise with Salesforce Sales Cloud and platform technologies including Apex, Lightning Web Components (LWC), SOQL/SOSL, security model, and data model
• Experience implementing Salesforce Revenue Cloud / CPQ, including at least 2–3 full implementations or equivalent deep project exposure (products, pricing, quoting, approvals)
• Proven experience building Salesforce integrations using REST/SOAP APIs and middleware (e.g., MuleSoft or equivalent)
• Experience integrating Salesforce with billing or subscription platforms (e.g., Zuora, Chargebee, Metronome, or similar)
• Strong understanding of quote-to-cash processes, including contract, entitlement, usage, invoicing, and revenue data flows
• Experience supporting marketing and revenue operations use cases such as lead routing, campaign attribution, pipeline management, and forecasting
• Solid understanding of scalable system architecture, large data volume handling, performance optimization, and security best practices
• Experience performing root cause analysis (RCA) and resolving complex production issues across integrated systems
• Experience working in modern SDLC environments including Git, CI/CD pipelines, code reviews, and release management

Preferred:

• Salesforce certifications (e.g., Platform Developer I/II, Application Architect, System Architect, CPQ Specialist)
• Experience with M&A GTM system integrations, including org consolidation, data model alignment, and process unification
• Direct experience integrating Salesforce with usage-based billing platforms and supporting consumption-based pricing models
• Experience with subscription or usage-based pricing and downstream billing implications
• Familiarity with GTM data and analytics platforms supporting pipeline, ARR, NRR, and forecasting
• Experience working in regulated environments (e.g., SOX, SOC 2) with audit and compliance requirements
• Experience building or integrating AI/LLM-powered automations within Salesforce or GTM systems

Wondering if you’re a good fit?

We believe in investing in our people and value candidates who bring diverse experiences to our teams — even if you don’t meet every requirement. Here are a few qualities we’ve found compatible with our team:

• You love solving complex system and integration challenges
• You’re curious about scalable architecture, automation, and emerging technologies like AI in GTM systems
• You’re an expert in building reliable, high-performance Salesforce and CPQ solutions

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 $139,000 to $204,000. 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). 

About the Team

CoreWeave is The Essential Cloud for AI™ — the infrastructure that the world's leading AI labs, researchers, and enterprises depend on. The Developer Experience (DevEx) team owns the platform, services, and systems that enable every engineer at CoreWeave to build and ship software faster, more safely, and with greater confidence. Our scope spans the full developer lifecycle: CI (continuous integration) and build infrastructure, test experience, delivery systems, artifact storage and distribution, internal developer platforms, and the agentic AI tooling that is redefining how engineers move from idea to production.

This is a role for an engineer who can work independently on well-defined platform problems, bring real ownership to their work, and grow quickly in a high-impact environment. You'll ship features across the DevEx stack - from CI pipeline components and test tooling to artifact APIs and agentic developer integrations.

What You'll Do

• Design and implement well-scoped features across the DevEx platform with minimal day-to-day supervision — CI (continuous integration) pipeline components, test experience tooling, delivery systems, artifact APIs, ephemeral developer environment services, and agentic developer integrations.
• Take end-to-end ownership of platform features. Write the design doc, ship the implementation, validate behavior in production, and follow through on issues until they're resolved.
• Contribute to the agentic developer platform. Implement MCP server endpoints, tool SDKs, or integrations that expose DevEx capabilities to LLMs and autonomous agents in structured, safe ways.
• Build and maintain services for artifact publishing, retrieval, and version management that reliably serve engineering teams at scale.
• Identify inefficiencies and reliability gaps in developer workflows, from code authoring to deployment, and propose concrete improvements with clear rationale.
• Participate actively in design and code reviews, sharing your perspective on implementation approaches, surfacing risks, and giving constructive feedback to peers.
• Help onboard new hires and interns, sharing context on team systems and development practices.

What We're Looking For

• 2+ years of professional software engineering experience building and shipping production software.
• Solid engineering fundamentals. You write clean, testable, well-structured code and understand how to design for reliability and maintainability at a component level.
• Proficiency in Go, Python, or a similar language; experience shipping services in cloud-native environments.
• Working knowledge of CI/CD systems. You've used them, debugged them, and have a growing sense of how they're built.
• Familiarity with Kubernetes basics, such as how workloads are defined, scheduled, and operated at the cluster level.
• Curiosity about AI-powered developer tooling. You're interested in how LLMs and agents can accelerate developer workflows, and you want to help build that.
• Ownership mentality. You follow through on commitments, communicate proactively when plans change, and close loops without being asked.
• Collaborative team player who participates in design discussions and gives and receives feedback well.

Nice to Have

• Experience contributing to CI infrastructure or developer tooling (pipeline execution, build optimization, test reliability improvements, delivery and deployment).
• Experience with artifact management, storage systems, or APIs for publishing and retrieving versioned software artifacts (e.g. JFrog Artifactory, Cloudsmith, or OCI registries).
• Familiarity with ephemeral and hermetic development environments and the platform services that power them.
• Familiarity with LLM-integrated developer tooling, such as MCP servers, tool-augmented agents, AI code generation, or agentic test generation systems.

The base salary range for this role is $109,000 to $204,000. 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:

Description of the Team
CoreWeave is a high-growth, AI-first data center company redefining enterprise infrastructure with a rapidly expanding footprint of GPU-focused facilities across the US and Europe. Operating at this scale requires a modern technology stack spanning DCIM, CMMS/EAM, BMS/SPoG, construction controls, lifecycle management, sustainability, and analytics to provide real-time visibility and predictable capacity delivery.

About the role:
We are seeking a Product Manager, Data Center Technology to define and deliver a scalable technology ecosystem for Data Center Operations. You will own product strategy, roadmap, prioritization, and execution, translating complex cross-functional needs into solutions that improve uptime, incident response, maintenance planning, technician experience, safety, and workforce productivity. This role partners closely with Data Center Operations, Facilities Engineering, Construction, Portfolio Planning, EHS, Security, Supply Chain, Finance, and IT to align solutions with business objectives. You will lead the end-to-end product lifecycle and deliver iterative, scalable platforms that enable operational excellence across the data center portfolio.

• Own the vision and roadmap for data center technology platforms, including DCIM, CMMS/EAM, BMS/SPoG, construction management, asset lifecycle, and workforce systems, aligned to business OKRs.
• Translate business goals into clear initiatives across first-party, third-party, and data/AI-driven solutions, with defined outcomes and success metrics.
• Make build, buy, or extend decisions across internal systems and external tools, balancing ROI, TCO, scalability, and interoperability.
• Lead the end-to-end product lifecycle: discovery, user research, problem definition, PRDs, prioritization, release planning, launch, and continuous improvement.
• Deliver iteratively using Agile principles, defining MVPs that unlock incremental value while building toward scalable platforms.
• Maintain structured execution through tools such as Jira, with clear tracking, reporting, and delivery discipline.
• Partner with cross-functional stakeholders to ensure systems interoperate cleanly with clear systems of record.
• Translate complex infrastructure concepts into intuitive workflows and product requirements for technicians and leadership.
• Conduct field discovery at data center sites to identify inefficiencies and prioritize improvements.
• Define data and telemetry strategies, including data models, integrations, and system-of-record decisions.
• Enable portfolio-level visibility through dashboards, KPIs, and digital twin capabilities.
• Drive adoption of data, AI, and automation solutions by embedding insights into operational workflows.
• Define and track KPIs such as MTTR/MTBF, maintenance compliance, backlog health, system adoption, telemetry coverage, construction schedule adherence, and capacity utilization.
• Establish product operating rhythms, including intake, prioritization, roadmap reviews, and release communications.
• Standardize templates and playbooks for site onboarding, asset standards, lifecycle workflows, and reporting.
• Stay current on industry trends and incorporate best practices into product strategy.
• Manage vendor relationships, including licensing, negotiations, and roadmap alignment.

Who You Are:

• 8+ years of experience in product management or related roles in data center, infrastructure, or industrial environments.
• Proven experience delivering products in DCIM and at least two of the following: CMMS/EAM, BMS/SPoG, construction management, or lifecycle/portfolio management tools.
• Demonstrated success building and scaling data- and AI-driven products, including defining use cases, shaping data strategies, and driving adoption.
• Strong understanding of facilities infrastructure, including power and cooling systems, layouts, and capacity models.
• Technical fluency in data models, APIs, integrations, and analytics.
• Strong product management fundamentals: user research, problem framing, PRDs, experimentation, KPI design, and roadmap execution.
• Proven ability to align diverse stakeholders across operations, engineering, and corporate functions.
• Experience operating in fast-paced, high-stakes environments with strict uptime, safety, and capital constraints.
• Bachelor’s degree in engineering, computer science, business, or a related field (or equivalent experience).

Preferred:

• Hands-on experience with platforms such as Sunbird or Modius (DCIM), Ignition (BMS/SPoG), Hexagon or similar CMMS/EAM tools, and Procore, SiteTracker, or Primavera for construction management.
• Familiarity with data center standards and compliance frameworks (e.g., ISO 22237, ISO 22301, SOC 2).
• Experience with digital twins, 3D visualization, or real-time telemetry systems in mission-critical environments.
• Experience supporting multi-site rollouts, system migrations, or large-scale operational transformations.

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 working at the intersection of data center operations and technology platforms
• You’re curious about data, AI, and automation in infrastructure environments
• You’re an expert in product management for complex, cross-functional systems

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

About the Role

We are looking for an Integrations Engineer focused on People Systems to join our Strategy and Transformation team. This role is ideal for a technically skilled engineer who thrives on building scalable, secure, and resilient integrations across CoreWeave’s HR, Finance, and Security environments—specifically around Workday, Greenhouse, Okta, and Workato. You will design, build, and support integrations that connect our HR stack to broader enterprise systems. You’ll work closely with HR, IT, and Security teams to drive automation and data accuracy across key lifecycle processes, including onboarding, offboarding, payroll, and benefits.

Who You Are

• 5–7 years of experience with enterprise HR/People Systems integrations
• Deep hands-on experience with Workday Studio, Cloud Connect, and EIBs
• Proven experience integrating with Greenhouse and identity platforms like Okta
• Hands-on knowledge of Workato or similar enterprise integration platforms
• Strong understanding of HR processes across payroll, benefits, onboarding, and compliance
• Familiarity with data formats and protocols such as XML, XSLT, JSON, REST, and SOAP

Preferred

• Experience automating workflows across HR, IT, and Security team
• Exposure to additional enterprise tools (e.g., Jira, Slack, Google Workspace, ERP platforms)
• Familiarity with GenAI technologies and automation augmentation
• Background in high-growth or cloud-native organizations

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 to design, build, and maintain integrations across enterprise systems
• You’re curious about automation, AI-driven workflows, and improving system connectivity
• You’re an expert in integrating HR systems such as Workday, Greenhouse, Okta, and Workato

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 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).

The Mission

As CoreWeave continues to solidify its position as the Essential Cloud for AI, we are seeking a visionary VP of Product, Research Training Infrastructure. This executive leader will own the product strategy and engineering execution for the services that power the most ambitious AI research labs in the world. You will bridge the gap between "the metal" and the researcher, delivering a seamless, high-performance environment where frontier models are born.

The Role: Architect of the AI Factory

You will lead the product strategy of our Research Training Stack, focusing on the specialized orchestration, evaluation, and iteration tools required for massive-scale pre-training and post-training. This is a mission-critical role at the intersection of high-performance computing (HPC) and cloud-native agility.

Core Responsibilities

• Frontier Orchestration: Oversee the evolution of SUNK (Slurm on Kubernetes) to provide researchers with deterministic, bare-metal performance through a cloud-native interface.
• Holistic Training Services: Beyond Slurm, drive the development of next-generation orchestrators and automated training-based evaluation frameworks that ensure model quality throughout the lifecycle.
• Post-Training Excellence: Build the infrastructure required for sophisticated Reinforcement Learning (RL) and RLHF pipelines, enabling labs to refine foundation models with maximum efficiency.
• Customer Advocacy: Act as the primary technical partner for lead researchers at global AI labs, translating their "future-state" requirements into actionable product roadmaps.

Requirements: Deep Research & Infrastructure Mastery

• Proven Leadership: 15+ years of experience in engineering leadership, with at least 5+ years managing large-scale infrastructure at a top-tier research lab or an AI-native cloud provider.
• Domain Expertise: Deep, hands-on knowledge of Slurm, Kubernetes, and the specific networking requirements (InfiniBand/RDMA) for distributed training clusters.
• Research Mindset: You likely come from a background supporting frontier model research (pre-training and post-training) and understand the "pain points" of a research scientist.
• Scaling Experience: A track record of delivering mission-critical services on multi-thousand GPU clusters (H100/Blackwell/Rubin architectures).
• Strategic Vision: Ability to define "what’s next" in the AI stack, from automated RL loops to specialized sandbox environments.

Why CoreWeave?

In 2026, CoreWeave is the foundation of the largest infrastructure buildout in human history. We are building AI Factories, not just data centers.

• Silicon-Up Innovation: Work directly with the latest NVIDIA architectures.
• Impact: You will be the architect of the environment that enables the next new discovery.

Velocity: We move at the speed of the researchers we support, bypassing legacy cloud bottlenecks to deliver raw power.

The base salary range for this role is $233,000 to $341,000. 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:

We’re looking for a Staff Storage Engineer to play a key role in designing, building, and operating the control plane for our high-performance AI storage platform. You’ll help evolve CoreWeave’s storage systems by building reliable, scalable, and high-throughput solutions that power some of the largest and innovative AI workloads in the world. This role involves close collaboration with teams across infrastructure, compute, and platform to ensure our storage services scale automatically and seamlessly while maximizing performance and reliability.

About the role: 

• Design and implement a highly scalable multi-tenant control plane that supports CoreWeave’s growing AI storage and cloud infrastructure needs.
• Contribute to the development of exabyte-scale, S3-compatible object storage, distributed file system and integrate dedicated storage clusters into diverse customer environments.
• Work with technologies such as RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK, and distributed filesystems to optimize storage performance and efficiency.
• Participate in efforts to improve the reliability, durability, and observability of our storage stack.
• Collaborate with operations teams to monitor, analyze, and optimize storage systems using telemetry, metrics, and dashboards to improve performance, latency, and resilience.
• Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack.
• Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems.

Who You Are:  

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 10+ years of experience working in storage systems engineering or infrastructure.
• Strong hands-on experience with object storage or distributed filesystems in production environments.
• Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar.
• Proficiency in a systems programming language such as Go, C++, or Rust.
• Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana).
• Solid understanding of cloud-native infrastructure, Kubernetes, and scalable system architecture.
• Strong debugging and problem-solving skills in distributed, high-performance environments.
• Clear communicator, able to work collaboratively across teams and share technical insights effectively.

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. 

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 $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:

CoreWeave is seeking an exceptional Global Vice President of Revenue Operations to serve as the strategic architect and operational leader of our revenue engine. This senior executive will be a key member of the CoreWeave leadership team, reporting directly to the Chief Revenue Officer, and will be responsible for building, scaling, and optimizing all revenue operations functions that drive predictable,efficient, and accelerated growth across our global go-to-market organization.

This is a foundational and transformational role at a pivotal moment for CoreWeave, as we scale our revenue operations infrastructure to support our trajectory as a newly public AI hyperscaler. Following our 2025 IPO and accelerated growth trajectory, we are in search of a world-class RevOps leader who can build enterprise-grade operational rigor while maintaining the Startup mindset, agility, and innovation that defines CoreWeave. The ideal candidate will transform revenue operations from a supporting function into a strategic growth driver, creating the data foundation, process excellence, and operational insights that enable our sales, marketing, customer success, support, field engineering, and partner teams to execute at peak performance. As an AI-native company, we expect you will lead us into an AI-first strategy to create a next-generation AI-driven RevOps function to harness and implement innovation throughout our global field organization.

The successful candidate will be a proven revenue operations executive with deep expertise in scaling high-growth technology companies, building world-class revenue operations platforms, and partnering with sales leadership to drive measurable business outcomes. You will have demonstrated success implementing sophisticated revenue operations frameworks, leading large global teams, and establishing data-driven cultures that turn insights into action. Your experience spans the full revenue operations stack—from CRM architecture and sales automation to forecasting methodologies, territory optimization, compensation design, and revenue analytics.

About the role:

This role uniquely combines strategic leadership with hands-on operational excellence. You will define CoreWeave's revenue operations strategy, build and lead a global team of revenue operations professionals, establish our RevOps technology stack and data architecture, create scalable processes that drive efficiency while maintaining growth, and deliver the analytics and insights that inform executive decision-making. You will be the operational partner to our Chief Revenue Officer and go-to-market leadership, ensuring we have the infrastructure, insights, and execution to achieve our ambitious revenue targets while maintaining the flexibility to adapt as markets and opportunities evolve.

Strategy & Vision

• Define and execute CoreWeave's global revenue operations strategy, establishing
• World-class operational rigor, process excellence, and data infrastructure that enables predictable, scalable revenue growth
• Build comprehensive revenue operations capabilities spanning sales operations, sales strategy, sales enablement, revenue analytics, sales compensation, territory management, and forecasting—creating an integrated operational framework that drives efficiency and effectiveness across the entire revenue organization
• Design and implement CoreWeave's revenue technology stack, selecting, integrating, and optimizing CRM, sales engagement, revenue intelligence, forecasting, compensation, and analytics platforms that create a single source of truth for revenue data and enable seamless execution
• Leverage AI to fundamentally build a next-gen RevOps center of excellence
• Lead ongoing integrations of acquisitions made by the company
• Establish data-driven forecasting methodologies and revenue analytics frameworks that provide executive leadership with accurate, real-time visibility into pipeline health, revenue performance, and growth trajectories across segments, products, and geographies
• Partner with CRO and go-to-market leadership to develop strategic territory plans, quota allocation models, capacity planning frameworks, and resource deployment strategies that optimize coverage, maximize revenue potential, and drive efficient growth
• Design and implement sales compensation programs that align with corporate objectives, drive desired behaviors, and attract and retain top sales talent, including variable compensation structures, accelerators, SPIFs, and performance-based incentives
• Establish robust revenue governance frameworks, including deal desk operations, pricing and discount approval workflows, contract review processes, SOX compliance, and commercial risk management that balance growth velocity with operational discipline
• Create sophisticated revenue analytics and business intelligence capabilities, delivering executive dashboards, pipeline analytics, win/loss analysis, sales productivity metrics, and strategic insights that inform decision-making and drive continuous improvement
• Drive operational excellence through continuous process optimization, automation of manual workflows, elimination of friction in revenue processes, and implementation of best practices that enable the sales organization to focus on selling
• Recruit, develop, and lead a world-class global revenue operations organization, including sales operations, sales strategy, enablement, compensation, and analytics teams, building a high- performance culture of operational excellence and strategic partnership with the go-to-market organization
• Serve as the strategic thought partner to the CRO and executive leadership team, providing data-driven insights, scenario modeling, and operational recommendations that inform strategic decisions on market expansion, product prioritization, and go-to-market investments

Who You Are: 

• Minimum 15+ years of progressive experience in revenue operations, sales operations, or sales leadership roles, with at least 8 years in senior revenue operations leadership positions
• Proven track record building and scaling revenue operations functions in high-growth B2B technology companies, ideally with experience supporting organizations generating $500M+ in annual revenue
• Demonstrated success implementing and optimizing enterprise CRM platforms (Salesforce expertise required), revenue intelligence tools, sales engagement platforms, and revenue analytics solutions at scale
• Deep expertise in sales forecasting methodologies, pipeline management frameworks, revenue recognition principles, and financial planning processes that drive accurate revenue predictability
• Extensive experience designing sales compensation plans, quota methodologies, territory models, and capacity planning frameworks for complex sales organizations with multiple segments and product lines
• Strong background in data analytics, business intelligence, and revenue reporting, with ability to translate complex data into actionable insights and executive-ready presentations
• Track record of building and leading high-performing global revenue operations teams, including experience managing teams across multiple geographies and time zones
• Experience supporting enterprise sales organizations with complex buying processes, multi-stakeholder engagements, and long sales cycles, ideally in infrastructure, cloud, or enterprise software markets
• Proven ability to partner effectively with C-level executives, sales leadership, finance, legal, and product teams to drive cross-functional alignment and business outcomes
• Experience navigating the operational complexities of publicly traded companies, including SOX compliance, revenue recognition requirements, and public company reporting

• MBA or advanced degree in relevant field (Business, Engineering, Data Science) preferred
• Expert-level proficiency with Salesforce (including advanced configuration, automation, and reporting), with Salesforce Administrator or Advanced Administrator certification highly valued
• Strong technical fluency with revenue operations technology stack including sales engagement platforms (Outreach, Salesloft), revenue intelligence tools (Clari, Gong), CPQ systems, and data visualization tools (Tableau, Looker)
• Advanced analytical and quantitative skills with experience using SQL, Python, or R for data analysis and building sophisticated revenue models and forecasts
• Deep understanding of enterprise sales methodologies (MEDDIC, MEDDPICC, Challenger), sales cycle optimization, and best practices for complex B2B sales environments
• Experience with cloud infrastructure or AI/ML markets strongly preferred, with understanding of consumption-based business models, usage-based pricing, and technical buying processes
• Exceptional executive presence with ability to present complex analyses and recommendations to board members, investors, and C-suite executives with clarity and confidence
• Proven change management capabilities with experience leading large-scale operational transformations, process redesigns, and technology implementations in dynamic environments
• Strategic mindset balanced with operational excellence and hands-on execution capabilities—able to define vision while rolling up sleeves to drive implementation
• Track record of thought leadership in revenue operations through speaking engagements, published content, or active participation in RevOps communities and professional networks

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 takeoff, 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 $300,000 to $385,000.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).

What You’ll Do: 

CoreWeave is building the infrastructure powering the AI economy. As enterprises rapidly move from experimentation to production AI systems, the need for specialized GPU infrastructure and scalable deployment frameworks has never been greater. CoreWeave’s cloud platform is designed specifically for high-performance AI workloads, enabling organizations to train, fine-tune, and deploy large-scale models faster and more efficiently.

The Specialists and Integrations team sits at the center of this transformation. Our mission is to ensure the world’s most advanced enterprises don’t just purchase compute — they successfully operationalize AI on CoreWeave at massive scale.

As the Enterprise Technical GTM Leader, you will define and execute the technical go-to-market strategy for CoreWeave’s most strategic enterprise customers. You will partner with Sales, Solutions Architecture, Product, and Engineering to guide complex AI infrastructure deployments from initial proof-of-concept to full production environments running at scale.

This is a highly visible leadership role responsible for shaping how enterprises adopt GPU infrastructure for next-generation AI workloads. You will influence deal strategy for multi-million-dollar engagements, build repeatable deployment frameworks for enterprise adoption, and translate complex enterprise requirements into product and platform innovation.

About the role: As the Enterprise GTM Leader, you will architect and execute the technical go-to-market motion for CoreWeave’s most significant enterprise accounts. You will be the primary strategist responsible for the "Specialists and Integrations" engagement model, ensuring that complex business objectives are translated into scalable, performant infrastructure deployments. This is a high-impact leadership role where you will spend your days shaping deal strategy, overseeing pilot-to-production transitions, and building the repeatable playbooks that allow our enterprise segment to scale.

In this role, you will:

• Architect and lead the technical go-to-market strategy for CoreWeave’s largest enterprise AI infrastructure deployments.
• Partner closely with Sales and Solutions Architecture to shape strategy and execution for complex enterprise deals exceeding $5M+ in contract value.
• Design and operationalize frameworks that guide enterprise customers from proof-of-concept to large-scale production deployments.
• Establish repeatable integration and architecture patterns for AI workloads across hybrid and multi-cloud environments.
• Lead technical evaluations involving senior stakeholders across engineering, data science, and executive leadership.
• Build scalable deployment playbooks that accelerate enterprise adoption of GPU infrastructure.
• Serve as the primary technical voice for enterprise customers, translating field feedback into platform improvements and product roadmap priorities.
• Track and optimize key GTM metrics including technical win rates, PoC-to-production conversion, deployment velocity, and enterprise expansion.

Who You Are:

• 10+ years of experience in enterprise cloud infrastructure, solutions architecture, or technical GTM leadership.
• 5+ years working with AI/ML platforms, GPU infrastructure, or high-performance computing environments.
• Proven track record of supporting or leading enterprise deals with contract values exceeding $5M.
• Deep expertise in cloud-native infrastructure including Kubernetes, container orchestration, cloud networking, and infrastructure-as-code tools such as Terraform or Pulumi.
• Experience architecting multi-cloud or hybrid cloud infrastructure deployments.
• Strong ability to translate complex enterprise business objectives into scalable infrastructure architectures.
• Demonstrated success influencing cross-functional teams across sales, engineering, and product organizations.
• Bachelors degree in Computer Science, Machine Learning, or related field.
• Experience running GPU-heavy platforms for AI training, inference, or HPC workloads. 

Preferred: 

• Experience supporting AI workloads including distributed model training, inference pipelines, or large-scale data processing.
• Background in industries with high-performance compute demands such as financial services, biotech/life sciences, or autonomous systems.
• Experience in technical consulting or enterprise digital transformation initiatives.

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 enjoy translating high-level business strategy into practical infrastructure solutions.
• You stay curious about the evolving AI stack and how foundation models are reshaping enterprise technology.
• You thrive in complex enterprise environments and are comfortable guiding large organizations through technical change.

The base salary range for this role is $191,000 to $281,000. 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).

#Lijobs

What You’ll Do:

The Storage Engine Team at CoreWeave is responsible for the product capabilities and data plane function of CoreWeave’s managed storage products. We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world’s most demanding AI workloads.

About the role:

• Design and Implement distributed storage solutions to support scaling data intensive AI workloads.
• Contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments.
• Work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency.
• Lead efforts to improve the reliability, durability, security, and observability of our storage stack.
• Collaborate with operations teams to monitor, troubleshoot, and improve storage systems in production environments.
• Set the bar for developing metrics and dashboards to provide visibility into storage performance and health.
• Analyze telemetry and system data to drive improvements in throughput, latency, and resilience.
• Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack.
• Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems.

Who You Are: 

• Bachelor’s, Master’s, or PhD degree in Computer Science, Engineering, or a related field.
• 8–10+ years of experience working in storage systems engineering or infrastructure.
• Strong hands-on experience with object storage or distributed filesystems in production environments.
• Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar.
• Proficiency in a systems programming language such as Go, C, or Rust.
• Proficiency leveraging AI tools to augment software development.
• Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana).
• Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures.

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 to grow and push the boundaries of your expertise
• You’re curious about distributed storage and the demands AI/ML workloads
• You’re an expert in data persistence on physical media, high performance data transfer using RDMA, or resilient distributed systems.

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 $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). 

We’re seeking an engineer to work on the  billing and revenue platform that powers Glean’s consumption-based pricing for our AI products. As an engineer, you’ll work on deep technical problems and own critical parts of our billing stack end to end. You’ll work closely with Product, Finance, Data, and Go-To-Market to ensure every AI feature we ship is accurately metered, transparently billed, and margin-positive. At the same time, you’ll help design powerful, elegant abstractions that make it easy and safe for product teams to integrate with billing—from logging usage to surfacing billing insights in the admin console.

You will:

• Work hands-on to design and implement systems for usage metering, pricing logic, credits, and admin-facing billing dashboards.
• Drive the evolution of our consumption / Flex pricing infrastructure in a fast-paced environment, with a high bar for correctness, reliability, and debuggability.
• Partner with Finance, Pricing, RevOps, and Product to translate pricing strategy into robust technical designs and workflows.
• Define and maintain guardrails for LLM and agent costs (e.g., limits, anomaly detection, margin monitoring) so product teams can ship AI features confidently.
• Raise the bar for engineering quality through design reviews and code reviews.

About you:

• 2+ years of industry software engineering experience
• Experience building backend systems and web interfaces, including frontend, APIs, and backend services.
• Strong ability to make tradeoffs explicit, and align cross-functional stakeholders around pragmatic decisions.
• An owner mindset and excitement about being in a product-focused environment where everyone cares deeply about customer and business impact.
• Expertise in Golang, Java, Typescript, SQL is highly desirable.
• Experience with or desire to learn large language models, retrieval augmented generation, agents, and their cost structures is beneficial.

Location:

• This role is hybrid (4 days a week in either our San Francisco or Mountain View office)

Compensation & Benefits:

The standard base salary range for this position is $140,000 - $265,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

#LI-HYBRID

Building a great AI assistant is only half the battle – knowing whether it's actually great is the other half. Our team owns the measurement and quality layer that make Glean's Assistant and Agents reliably better over time: evaluation pipelines, quality evalsets, LLM-powered judges, agent observability, and the tooling engineers use to understand what changed and why. It's a rare combination of infrastructure engineering, applied ML, and direct product impact. If you care deeply about quality and want to build the systems that make it measurable, this role is for you.

You will: 

• Design and curate evaluation datasets – sampling strategies, query diversity, and golden sets that give reliable, representative coverage of real assistant behavior.
• Build and maintain large-scale evaluation pipelines that measure assistant quality across thousands of real user queries.
• Build LLM-powered judges that score metrics like correctness, completeness, and response quality, and align them against human judgment.
• Evaluate new models and product changes before they ship – providing the quality signal that gates launches and prevents regressions.
• Build observability infrastructure for AI agents: trace enrichment, data pipelines, and dashboards that make assistant behavior inspectable.
• Close the loop between quality measurement and improvement using eval results, customer feedback, and techniques like automated prompt iteration to help drive concrete gains in assistant behavior.
• Collaborate with engineers across the company to make evals a first-class part of how we ship.

About you:

• 2+ years of software engineering experience with strong coding skills.
• Strong backend fundamentals in Go and Python; comfortable with distributed data pipelines.
• Experience working with LLM evaluation, reinforcement learning from human feedback, natural language processing, or other large systems involving machine learning.
• Analytically rigorous – you think carefully about what offline metrics actually predict about real user experience.
• Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company
• You care about quality – not just in the systems you build, but in the product you're helping measure and improve.

Location: 

• This role is hybrid (3-4 days a week in one of our SF Bay Area offices)

Compensation & Benefits:

The standard base salary range for this position is $200,000 - $300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

#LI-HYBRID

Building a great AI assistant is only half the battle – knowing whether it's actually great is the other half. Our team owns the measurement and quality layer that make Glean's Assistant and Agents reliably better over time: evaluation pipelines, quality eval-sets, LLM-powered judges, agent observability, and the tooling engineers use to understand what changed and why. It's a rare combination of infrastructure engineering, applied ML, and direct product impact. If you care deeply about quality and want to build the systems that make it measurable, this role is for you.

You will: 

• Design and curate evaluation datasets – sampling strategies, query diversity, and golden sets that give reliable, representative coverage of real assistant behavior.
• Build and maintain large-scale evaluation pipelines that measure assistant quality across thousands of real user queries.
• Build LLM-powered judges that score metrics like correctness, completeness, and response quality, and align them against human judgment.
• Evaluate new models and product changes before they ship – providing the quality signal that gates launches and prevents regressions.
• Build observability infrastructure for AI agents: trace enrichment, data pipelines, and dashboards that make assistant behavior inspectable.
• Close the loop between quality measurement and improvement using eval results, customer feedback, and techniques like automated prompt iteration to help drive concrete gains in assistant behavior.
• Collaborate with engineers across the company to make evals a first-class part of how we ship.

About you:

• 2+ years of software engineering experience with strong coding skills.
• Strong backend fundamentals in Go and Python; comfortable with distributed data pipelines.
• Experience working with LLM evaluation, reinforcement learning from human feedback, natural language processing, or other large systems involving machine learning.
• Analytically rigorous – you think carefully about what offline metrics actually predict about real user experience.
• Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company
• You care about quality – not just in the systems you build, but in the product you're helping measure and improve.

Location: 

• This role is hybrid (3-4 days a week in one of our SF Bay Area offices)

Compensation & Benefits:

The standard base salary range for this position is $200,000 - $300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

#LI-HYBRID

We're seeking a software engineer to join the Insights team within the Billing and Insights charter that underpins Glean's consumption-based pricing, product analytics and user targeting. This team owns the end-to-end stack that makes our AI products explainable and measurable for customers and internal teams—from logging and usage pipelines to Insights dashboards, self-serve logs, user targeting platform and natural language query(NLQ)-powered agents on top of our data warehouse. As an SWE on this team, you'll design and build data pipelines, backend services, and customer-facing experiences that make Glean's value visible and trustworthy. You'll work closely with Product, Data Science, Finance, Marketing and Go-To-Market to ensure that every metric we show is accurate, auditable, and aligned across internal and external views.

You will:

• Design and implement reliable data pipelines and services that summarize deployment log data into daily user-, team-, department-, and agent-level metrics powering the Insights dashboards.
• Build and evolve backend APIs and services that sit between our product logs, warehouses, and the Insights UI, with a high bar for correctness, debuggability, and latency.
• Contribute to the NLQ for Insights initiative by extending the agentic loop and tool library over our Insights warehouse so moderators and admins can ask natural-language questions and get accurate, explainable answers.
• Build user targeting platform for marketing and growth campaigns.
• Improve observability, alerting, and backfill workflows for Insights jobs so metric issues are caught early and resolved safely via idempotent backfills.
• Partner with Pricing, Finance, Data, Marketing and Product to keep internal dashboards and external Insights views aligned on core definitions (e.g., active users, assistant and agent usage, utilization) and to support usage-based pricing and renewals.

About you:

• 5+ years of industry software engineering experience, including meaningful ownership of production services or analytics systems.
• Strong experience building backend services and APIs in one or more of: Golang, Java, Typescript, or Python, and comfort jumping across the stack when needed (from data pipelines to APIs to web UX).
• Proficiency in SQL and experience working with modern data warehouses or analytics stacks.

Location:

• This role is hybrid (4 days a week in our San Francisco office).

Compensation & Benefits:

The standard base salary range for this position is $140,000 - $265,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

#LI-HYBRID

P-1607

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As one of the first engineers in the NYC Engineering office, you’ll have the opportunity to be part of a small, nimble team that’s innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data & AI to deliver vertical AI applications for both technical and business users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks.   

The impact you'll have:

• Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency
• Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth
• Lead by example with hands-on full-stack software development to create dynamic, user-centric experiences
• Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities
• Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers
• Establish best practices within the team & Databricks more widely for building valuable, AI products

What we look for:

• 10+ years of experience with HTML, CSS, and JavaScript
• Demonstrated product mindset with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback.
• You care that AI features feel intuitive, trustworthy, and helpful, not just bolted on to an existing app
• High ownership and bias for action in 0→1 environments: you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption.
• Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives.  
• Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember)
• 10+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go)
• Proven experience building and shipping end-to-end generative AI products, ideally with a significant UI/UX component
• Experience in developing deep product and business knowledge to connect abstract modeling and analysis tasks with business value

We’re hiring a Tech Lead Manager of the Admin Console team to lead one of the most important product surfaces at Glean: the admin experience that helps customers deploy, govern, and scale Glean across their organizations. This is a high-impact, full-stack leadership role for an engineering leader who can guide architecture, partner deeply with product and design, and grow a small but strategically important team. The Admin Console is the control plane for enterprise activation, admin confidence, and scalable rollout. Admins use it to configure authentication, data sources, permissions, governance, search settings, AI features, and deployment health from a self-serve central hub. As Glean evolves from a search company into an AI platform, this team’s mission is evolving too: from managing data sources to helping admins manage the broader context layer of the system, including actions, live data, governance, and AI configuration.

You will:

• Lead and grow the Admin Console engineering team, providing both people leadership and strong technical direction.
• Own architecture and execution for core admin-facing workflows including data source setup, security configuration, deployment management, and feature rollout controls.
• Partner closely with Product and Design to simplify complex enterprise workflows and make the admin experience more intuitive and scalable.
• Help evolve the Admin Console from a system centered on crawlers and data setup into a broader control plane for enterprise context, actions, governance, and AI capability management.
• Improve self-serve activation so admins can get their organizations up and running faster, with less dependency on human support.
• Improve visibility into crawl health, connector status, indexing progress, permissions, and rollout readiness so admins can confidently understand what is happening in their deployment.
• Build systems and workflows that help admins safely scale Glean across users, teams, and capabilities over time through a coherent interface.
• Collaborate deeply with backend, connector, infra, and security teams to deliver unified admin experiences that sit on top of platform and infrastructure layers.

About you:

• 8+ years of software engineering experience building production distributed systems or cloud‑native applications. 
• 1+ years of engineering management experience of a full stack team
• BS/BA in Computer Science or related field, or equivalent practical experience.
• Strong coding skills in at least one of: Python, Go, Java, C++, Javascript.
• Product‑minded: you prioritize customer impact, clear SLAs/SLOs, and pragmatic iteration.
• Ownership‑driven with a positive, proactive attitude; comfortable leading projects or learning from battle‑tested engineers.
• You have experience building enterprise SaaS, enterprise platform, admin console, or similarly configurable product experiences.
• Experience working on products where usability, governance, permissions, and technical complexity all matter.
• Experience mentoring engineers with different technical strengths, including frontend and backend team members.
• Ability to operate in ambiguity and shape roadmap, architecture, and team execution in a fast-moving environment.
• Strong cross-functional collaboration skills and comfort partnering with product, design, security, and platform teams.

Location: 

• This role is hybrid (4 days a week in our Mountain View or San Francisco office)

Compensation & Benefits:

The standard base salary range for this position is $250,000 - $300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

#LI-HYBRID

We’re hiring a Tech Lead Manager of the Admin Console team to lead one of the most important product surfaces at Glean: the admin experience that helps customers deploy, govern, and scale Glean across their organizations. This is a high-impact, full-stack leadership role for an engineering leader who can guide architecture, partner deeply with product and design, and grow a small but strategically important team. The Admin Console is the control plane for enterprise activation, admin confidence, and scalable rollout. Admins use it to configure authentication, data sources, permissions, governance, search settings, AI features, and deployment health from a self-serve central hub. As Glean evolves from a search company into an AI platform, this team’s mission is evolving too: from managing data sources to helping admins manage the broader context layer of the system, including actions, live data, governance, and AI configuration.

You will:

• Lead and grow the Admin Console engineering team, providing both people leadership and strong technical direction.
• Own architecture and execution for core admin-facing workflows including data source setup, security configuration, deployment management, and feature rollout controls.
• Partner closely with Product and Design to simplify complex enterprise workflows and make the admin experience more intuitive and scalable.
• Help evolve the Admin Console from a system centered on crawlers and data setup into a broader control plane for enterprise context, actions, governance, and AI capability management.
• Improve self-serve activation so admins can get their organizations up and running faster, with less dependency on human support.
• Improve visibility into crawl health, connector status, indexing progress, permissions, and rollout readiness so admins can confidently understand what is happening in their deployment.
• Build systems and workflows that help admins safely scale Glean across users, teams, and capabilities over time through a coherent interface.
• Collaborate deeply with backend, connector, infra, and security teams to deliver unified admin experiences that sit on top of platform and infrastructure layers.

About you:

• 8+ years of software engineering experience building production distributed systems or cloud‑native applications. 
• 1+ years of engineering management experience of a full stack team
• BS/BA in Computer Science or related field, or equivalent practical experience.
• Strong coding skills in at least one of: Python, Go, Java, C++, Javascript.
• Product‑minded: you prioritize customer impact, clear SLAs/SLOs, and pragmatic iteration.
• Ownership‑driven with a positive, proactive attitude; comfortable leading projects or learning from battle‑tested engineers.
• You have experience building enterprise SaaS, enterprise platform, admin console, or similarly configurable product experiences.
• Experience working on products where usability, governance, permissions, and technical complexity all matter.
• Experience mentoring engineers with different technical strengths, including frontend and backend team members.
• Ability to operate in ambiguity and shape roadmap, architecture, and team execution in a fast-moving environment.
• Strong cross-functional collaboration skills and comfort partnering with product, design, security, and platform teams.

Location: 

• This role is hybrid (4 days a week in our Mountain View or San Francisco office)

Compensation & Benefits:

The standard base salary range for this position is $250,000 - $300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

#LI-HYBRID

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 AI team is focused on one of Stripe’s most strategic growth areas: enabling the monetization and scaling of AI-native and AI-enabled businesses. We’re in a unique position – partnering with the world’s most ambitious AI companies (the likes of OpenAI, Anthropic, NVIDIA, etc) building on the frontier of artificial intelligence -- across infrastructure, foundation models, agents, and applications -- to help them grow and commercialize globally using Stripe’s full financial stack.

As part of Stripe’s GTM / Sales organization, this team works closely with Product, Engineering, and Marketing to shape Stripe’s AI GTM strategy and ensure that the world’s leading AI companies -- from early-stage innovators to the largest public players -- choose Stripe as their monetization platform.

What you’ll do

• Work with existing Stripe customers in the AI Industry to develop and execute long-term sales strategies to expand Stripe’s revenue
• Own the full sales cycle, from business case development, to deal structuring and negotiating, to close
• Develop account plans and cross sell into your list of strategic AI customers, driving growth through expansion and new revenue streams 
• Drive deal strategy and commercial negotiations for large, complex renewals
• Develop relationships with executive stakeholders within your book of business, deeply understanding problems they are solving and helping drive to solutions
• Be responsible for account mapping and coordinating effective meetings with the appropriate external stakeholders expanding the customer relationship
• Lead and contribute to team projects to develop and refine our sales process and help shape the Stripe sales culture

Minimum requirements

• * 6+ years of sales experience, preferably selling a technical product, with a track record of top performance
  
  • 4+ years leading complex sales cycles with Enterprise organizations required
  • Ability to understand technical requirements and craft solutions across multiple products
  • Ability to develop and execute account plans spanning multiple business units across complex organizations
  • A knack for working well with a wide range of people, both internally and externally
  • Strong presentation skills, particularly for in-person meetings with multiple stakeholders
  • Proven ability to lead complex negotiations involving bespoke commercial agreements
  • Superior verbal and written communication skills
  • Ability to operate in a highly ambiguous and fast-paced environment
  • Strong interest in technology and a deep understanding of the space

The Tech Lead Manager of the Agentic Runtime team builds the low‑latency, reliable, and secure foundation that powers Glean’s AI agents and assistant experiences at scale. You’ll design and operate core runtime services for multi‑turn orchestration, tool calling, model routing, memory, streaming, and safety. You’ll work across distributed systems, production observability, and ML infra integrations to deliver an experience that feels instant, accurate, and trustworthy — while optimizing cost and reliability.

You will:

• Own impactful runtime problems end‑to‑end — from architecture and design to production launch and ongoing reliability.
• Build and evolve core services for session lifecycle, streaming responses (e.g., gRPC/WebSockets), structured tool execution, memory/state, and policy/guardrails.
• Design for performance, correctness, and cost: reduce p50/p95 latency, improve tail behavior, and optimize token/tool budgets.
• Integrate with leading LLM providers (e.g., OpenAI, Anthropic, Google Gemini) and internal evaluation frameworks to improve quality and predictability.
• Harden the platform with fault isolation, retries, timeouts, circuit‑breaking, backpressure, and graceful degradation.
• Instrument deep observability (tracing, metrics, logs) and create playbooks/SLOs for high availability and on‑call excellence.
• Collaborate closely with product, quality, and application teams to prioritize the most impactful roadmap investments.

About you:

• 8+ years of software engineering experience building production distributed systems or cloud‑native applications. 
• 1+ years of engineering management experience
• BS/BA in Computer Science or related field, or equivalent practical experience.
• Strong coding skills in at least one of: Python, Go, Java, or C++, with a focus on reliability, performance, and tests.
• Product‑minded: you prioritize customer impact, clear SLAs/SLOs, and pragmatic iteration.
• Ownership‑driven with a positive, proactive attitude; comfortable leading projects or learning from battle‑tested engineers.
• Experience operating services on Kubernetes and at least one major cloud (e.g., GCP, AWS, or Azure).
• Familiarity with event/streaming systems (e.g., Pub/Sub, Kafka), caching (e.g., Redis), and data stores for low‑latency paths.
• Practical understanding of LLM/agents building blocks: tool/function calling, structured outputs, streaming, and model selection/routing.
• Strong observability and debugging skills: tracing (e.g., OpenTelemetry), metrics, dashboards, and production forensics.
• Background in one or more areas is a plus: policy/guardrails, multi‑tenant isolation, rate‑limiting, concurrency control, cost optimization.

Location: 

• This role is hybrid (4 days a week in either our Mountain View or San Francisco offices)

Compensation & Benefits:

The standard base salary range for this position is $250,000 - $300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

#LI-HYBRID

The Strategic Sales Development Representative, Robotics & Automotive will report to the Director of GTM, and will be responsible for identifying, prospecting, and qualifying new sales opportunities. In this role, you will be responsible for wallet share and driving revenue growth for the Physical AI business. This role requires significant ownership in a fast-paced environment. In this role, you will:

• Own and drive overall relationship with Scale’s robotics and automotive prospects; act as a trusted advisor to effectively and confidently communicate the value of Scale offerings to potential customers
• Own top-of-funnel and mid-funnel motion to generate qualified pipeline and revenue through outbound prospecting, lead qualification, and relationship management
• Coordinate networking events such as hackathons, webinars, meetups, conferences, social events, and other events to gain visibility and build credibility within the robotics and automotive community
• Ability to write highly tailored and personalized cold outbound messaging to book meetings with target personas
• Take on ad-hoc strategic projects end-to-end — own the initial research, develop a proposed approach, incorporate feedback, and drive through to execution and handoff
• Thrive in a multi-tasking environment with the ability to adjust priorities quickly
• Consistently share knowledge of industry trends and solutions
• Collaborate with GTM, Operations, and Technical teams to keep sales collateral up to date

Ideally, you will have:

• Bachelor’s degree or equivalent work experience
• 1-3 years of sales experience in a fast-paced software or technical environment
• Ability to understand Scale’s product offerings and operations
• Ability to communicate deeply technical solutions to business and technical audiences
• Passion for what you do, and the creativity and willingness to think outside of the box
• Excellent writing and communication skills
• Strong sales process and systems skills (Slack, Salesforce, Outreach, Clari)
• Demonstrated ability to develop strong consultative relationships with external partners and internal cross-functional teams at all levels
• Experience developing and communicating executive-level materials
• Strong project management skills, high detail orientation, and exceptional organizational skills
• Technical background highly valued

Sales Commission: This role is eligible to earn commissions.

Overview

Scale’s Finance Systems and Automation team is looking for a builder-oriented team member to help design and develop integrations, automations, and AI agents that streamline workflows across Finance, Accounting, People, and Recruiting.

In this role, you will work closely with stakeholders across Finance, Accounting, People Operations, and Recruiting to understand their workflows and build integrations, automations, and agentic workflows that reduce manual effort and accelerate execution across these teams.

You will leverage our internal data infrastructure, system integration tooling, and emerging AI platforms to architect scalable solutions — from traditional system integrations to intelligent agent-driven workflows — that serve as the foundation for long-term operational efficiency.

We’re looking for someone who thrives on connecting systems, automating repetitive processes, and pushing toward more autonomous, AI-assisted operations. You should be comfortable navigating ambiguity, designing solutions that scale, and rigorously validating outcomes end to end.

What You’ll Do

• Design and build agent-driven workflows and automation systems across People Operations, Recruiting, Finance, and Accounting
• Identify opportunities to replace manual or rules-based processes with agentic workflows
• Partner with stakeholders to translate business processes into scalable, automated solutions
• Lead the implementation of end-to-end workflows, from requirements through deployment and validation
• Automate candidate-to-employee transitions (e.g., Greenhouse → HRIS → provisioning systems)
• Build workflows to manage employee lifecycle events such as onboarding, transfers, and offboarding
• Automate approval flows and data synchronization across People, Finance, and Recruiting systems
• Support accounting and finance workflows through scalable integrations and automation
• Design and implement the underlying integrations and data flows that enable reliable automation and agent behavior
• Establish and apply best practices for workflow design, monitoring, error handling, and maintainability
• Collaborate with data and engineering teams to ensure automation systems are built on reliable data foundations
• Maintain clear documentation of integrations, automations, and agent behavior
• Support adoption of automation and AI-enabled workflows by working closely with People Ops, Recruiting, and Finance stakeholders

What We’re Looking For

• 5+ years of experience building integrations and automation workflows across business systems
• Hands-on experience with an iPaaS platform (e.g., Workato, Mulesoft, Boomi, etc.) - Workato Certification is big plus
• Experience building or experimenting with AI-powered workflows, LLM APIs, or agent-driven systems
• Experience designing workflows across employee lifecycle processes (hire, onboard, manage, offboard)
• Experience integrating Finance systems such as NetSuite, Coupa, or similar
• Experience working with PayRoll systems such as ADP, Deel, Workday is a plus
• Experience working with People and Recruiting systems such as Workday, BambooHR, Greenhouse, or similar is a plus
• Strong problem-solving skills and ability to operate independently in a fast-paced environment
• Excellent communication skills and experience working cross-functionally with business stakeholders
• A builder mindset with a focus on delivering reliable, scalable solutions
• Understanding of how to design reliable, production-ready agentic workflows (e.g., validation, retries, guardrails) is a plus

Glean is seeking a few Machine Learning engineers who want to focus on a combination of Quality and traditional ML work to help us build the Enterprise Brain. The Enterprise Brain team is developing a suite of proactive AI products that aims to revolutionize enterprise workflows by proactively detecting and automating tasks for users - thus unlocking true productivity. This is built on top of a deep user understanding and state of the art Enterprise graph. The project involves using both LLM and other advanced ML techniques, agent orchestration and cutting-edge ranking techniques.

You will: 

• Work on deeply challenging ML problems involving user understanding and task prediction.
• Invent new LLM workflows and signals to improve reasoning, planning, and personalization.
• Design and optimize reinforcement learning and fine-tuning approaches to improve the quality of understanding, prediction and other agentic systems.
• Lead development of scalable evaluation, benchmarking, and optimization loops.
• Build and maintain robust ML pipelines for enterprise and knowledge graph construction.
• Drive initiatives to measure, monitor, and improve data quality, model quality, and end-to-end system performance.
• Collaborate with cross-functional teams to deeply understand customer pain points and deliver high-quality, production-ready ML solutions.
• Mentor junior engineers or learn from experienced ones in a tight-knit, high-velocity environment.

About you: 

• 3+ years of industry experience in AI or Machine Learning Engineering.
• BA/BS in computer science, math, sciences, or a related field.
• Experience with search, recommendation, natural language processing, or other large-scale ML systems.
• Proven ability to design, build, and ship production-ready models and systems.
• Demonstrated expertise in ML evaluation, benchmarking, and data quality—ideally with experience in building or maintaining evaluation frameworks for complex enterprise tasks.
• Proficiency in your ML framework of choice (e.g., TensorFlow, PyTorch).
• Strong coding skills (Python, Go, Java, C++, etc.).
• Thrive in a customer-focused, cross-functional environment; a proactive and positive attitude is a must.

Location:

• This role is hybrid (4 days a week in our Mountain View, CA office)

Compensation & Benefits:

The standard base salary range for this position is $200,000 - $300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

#LI-HYBRID

Role: Engineering Manager, Engineering Productivity & Cloud Infrastructure

Location: Hayes Valley, San Francisco, CA

Basic Job Details

• Job Type: Full Time
• Work Model: Hybrid
• Remote Days: Monday & Friday
• Office Days: Tuesday, Wednesday, Thursday

Job Description

We're looking for an Engineering Manager to lead our Engineering Productivity (EngProd) & Cloud Infrastructure team — the platform team whose customers are every other engineer at Baton, and the team responsible for our cloud infrastructure, security, and networking partnership with Ryder. You'll own the people, roadmap, and execution of EngProd as we scale from a small, scrappy infrastructure pod into the durable engineering-leverage function that powers a 50+ person engineering organization and Ryder's broader technology investments.

This role is equal parts people leader, technical strategist, and cross-functional operator. You'll coach and grow a tight-knit team of engineers, define and own a 12–18 month roadmap that compounds across every other pod (DaPla, ML, ProPla, Radius, CVIZ), and be the voice of Engineering productivity in baton engineering and cross-org planning. You'll inherit a real engineering function with momentum — and the opportunity to define what "world-class engineering productivity" looks like at the intersection of a fast-moving startup and a Fortune 500 company.

This is ideal for an experienced engineering leader who has come up through infrastructure / platform / devex / SRE, who genuinely loves building teams, and who is energized by making other engineers dramatically more effective.

Responsibilities

• People Leadership & Team Development:
  • Lead, mentor, and grow a team of high performing engineers.
  • Run performance reviews, calibration, career-path conversations, and PD chats. Set and hold a high bar.
  • Own hiring for the pod — partner with recruiting on sourcing, calibration, and closing top devops / platform / infra talent.
  • Build a culture of ownership, customer-empathy (engineering is your customer), and continuous improvement.
• Roadmap & Strategy:
  • Own the EngProd 12–18 month roadmap. Translate company-level OKRs into a prioritized backlog of investments.
  • Build a structured intake and prioritization process across pods, treating other engineering teams as customers with real needs and real tradeoffs.
  • Drive Engineering-as-a-Product thinking — every initiative should have a clear customer (another pod), a measurable outcome, and a leverage story that compounds across multiple pods.
  • Champion paved-road tooling and self-service over bespoke, one-off solutions — make the right way the easy way.
  • Champion measurement: stand up the Engineering Excellence KPIs, dashboards, and metrics that let Baton manage what it cares about (CI duration, deploy frequency, MTTR, cost per service, etc.).
• Execution & Cross-Org Communication:
  • Run sprint planning, project planning, and milestone tracking. Maintain a healthy roadmap and risk register.
  • Represent EngProd in EngStaff and cross-pod syncs. Communicate status, risks, and tradeoffs to executive stakeholders with clarity and confidence.
  • Partner with TPMs and peer engineering managers (DaPla, ML, ProPla, Radius, CVIZ) to negotiate scope, unblock dependencies, and deliver value.
• Technical Leadership:
  • Drive and review engineering specs. Weigh in on architectural decisions for CI/CD, testing infrastructure, observability, cloud infra, IaC, secrets/IAM, and developer tooling.
  • Own Ryder relationships for cloud infrastructure, security, and networking — navigating enterprise constraints while preserving startup velocity.
  • Partner with the Technical Support organization on issues and escalations
  • Stay technically credible enough to lead — without becoming the bottleneck. Empower senior engineers to own their domains.
  • Partner with our other Platform pods to ensure EngProd investments compound across the broader Baton platform.

Minimum Qualifications

• 8+ years of engineering experience, including 4+ years directly managing software / infra / devops / SRE engineers.
• Track record managing teams of 2–8 direct reports, including hiring, growing, and developing technical talent.
• Has owned a multi-quarter technical roadmap for an infrastructure, platform, devex, or SRE function in a high-growth environment.
• Strong technical foundation: cloud infrastructure (AWS), Kubernetes, CI/CD, observability tooling (Grafana / Prometheus / Sentry / DataDog), Python, and Infrastructure-as-Code (Pulumi / Terraform), Enterprise security experience.
• Demonstrated ability to lead a team that delivers reliably across quarters, with predictable velocity and clear stakeholder communication.
• Comfortable communicating technical strategy and tradeoffs to executive stakeholders.
• Experience operating in B2B SaaS or enterprise environments where reliability, scale, and customer SLAs matter.

Preferred Qualifications

• Background scaling EngProd / Developer Experience / Platform / SRE functions from small-but-scrappy to a durable, high leverage engineering org.
• Experience working inside a startup-within-an-enterprise (e.g. an acquired startup operating inside a Fortune 500).
• Experience in logistics, supply chain, or freight technology.
• Background in test infrastructure, deployment automation, or production reliability initiatives that measurably improved org-wide engineering velocity.
• Familiarity with Baton's tech stack: Python, FastAPI, GraphQL, Flink, Materialize, Debezium, Kafka, Pulumi, GitHub Actions.

The Perks

• Competitive Base Salary + Cash Bonus Structure
• Annual Company Bonus + Long Term Incentive Plan
• 401k with Matching
• Hybrid Work Schedule
• Hyper-Stable, publicly traded Enterprise
• Medical, Dental, and Vision Health Coverage
• Employee Stock Purchase Program (15% discount to market value)
• Collaborative, Fun, and Tech Forward office in Hayes Valley, San Francisco, CA

Compensation Range: The annual base salary range for this position is $250,000 - $300,000. Compensation will vary based on factors including skill level, proficiencies, transferable knowledge, and experience. In addition to base salary, Baton's full-time employees are eligible for an annual performance bonus.